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Job Description FieldAI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. What You Will Get To Do • Own full-stack product features from design through production, • Build scalable backend services using Node.js (Express) and Python, • Develop modern, high-performance frontends using React, • Implement 3D visualization features using Three.js / WebGL, • Design APIs, data models, and system architectures using clean design principlesPartner closely with AI, robotics, product, and commercial teams, • Debug performance issues and optimize rendering, data, and API pipelinesContribute to shared codebases and raise engineering quality through reviews and collaborationWhat You Have, • Typically 5–10+ years of experience building and shipping production software, • Strong proficiency in TypeScript, JavaScript, Node.js, and React, • Solid system design skills across data modeling, APIs, and UI/UX tradeoffsExperience working with MongoDB and Redis (or similar databases)Hands-on experience deploying and operating applications in AWS (or equivalent cloud platforms), • Strong collaboration and communication skills across technical and non-technical teamsWhat Will Set You Apart, • Experience with BIM or construction technology workflows, • Experience with 3D graphics technologies (Three.js, WebGL, shaders, or similar), • Familiarity with monorepo architectures (Nx, Lerna), • Experience integrating with Autodesk platforms (Revit, APS/Forge)Proficiency using the AWS SDK, • Background working on complex, data-rich, or real-time systems Our salary range is generous and we take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Why Join FieldAI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Mission Viejo (Irvine adjacent), Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Title: (Sr AWS developer) About Kyyba: Founded in 1998 and headquartered in Farmington Hills, MI, Kyyba has a global presence delivering high-quality resources and top-notch recruiting services, enabling businesses to effectively respond to organizational changes and technological advances. At Kyyba, the overall well-being of our employees and their families is important to us. We are proud of our work culture which embodies our core values; incorporating value, passion, excellence, empowerment, and happiness, creates a vibrant and productive atmosphere. We empower our employees with the resources, incentives, and flexibility that they need to support a healthy, balanced, and fulfilling career by providing many valuable benefits and a balanced compensation structure combined with career development. Job Description Requirement: • 5 years hands-on AWS experience including building, deploying, troubleshooting, and configuration, • 3 years developing AWS Serverless applications using:, • AWS Lambda (Python runtime), • Step Functions for workflow orchestration, • API Gateway for REST/HTTP APIs, • Amazon Cognito for authentication/authorization, • CloudFormation, Terra Form, or CDK for Infrastructure as Code, • S3 for document storage and processing, • CloudWatch for monitoring and logging Location: (Quincy, MA) Disclaimer: Kyyba is an Equal Opportunity Employer. Kyyba does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. Minorities / Females / Protected Veterans / Individuals with Disabilities are encouraged to apply. All employment is decided on the basis of qualifications, merit, and business need.” It is the policy of Kyyba to provide reasonable accommodation when requested by a qualified applicant or employee with a disability, unless such accommodation would cause an undue hardship. The policy regarding requests for reasonable accommodation applies to all aspects of employment, including the application process. If reasonable accommodation is needed, please contact Kyyba at 248-813-9665 Rewards: Medical, dental, vision 401k Term life Voluntary life and disability insurance Optional Pre-paid legal plan Optional Identity theft plan Optional Medical and dependent FSA Work-visa sponsorship Opportunity for advancement Long-term assignment with opportunity for hire by client SELECT AWARDS • An INC 5000 company for 10 years, • Corp! Michigan Economic Bright Spots, • Crain's Detroit Business Top Staffing Service Companies in Detroit, • TechServe Alliance Excellence Award- IT and Engineering Staffing & Solutions, • Best of MichBusiness winner in HR Wizards & Partnerships, • Metro Detroit Elite Category: Recruitment, Selection & Orientation for 101 Best & Brightest, • 101 Best & Brightest Companies to Work for in Michigan

Job Description Zoox is building a purpose-built robotaxi from the ground up and running it on public roads today, with riders. Every perception, prediction, and planning decision runs on an onboard compute: a fixed-power, fixed-thermal, safety-critical, real-time system. That makes GPU execution one of the most consequential engineering problems in the company. Each new model generation wants more compute. Each new vehicle generation needs to cost less, use less power, and stay safe. Closing that gap is not a kernel-tuning exercise. It takes an end-to-end technical vision for how the whole onboard AI workload is scheduled, shared, isolated, and sized across GPUs, and the authority to drive that vision across ML, autonomy, middleware, and hardware organizations. You will join Zoox's Software Performance organization, which owns end-to-end performance of the onboard software stack: profiling and observability, GPU compute, and compute platform. You will work closely with Perception, Prediction, Planning, ML Infrastructure, and Hardware teams, and you will be a senior technical voice for onboard compute across the company. We are looking for the technical leader who sets that vision. You will define how Zoox runs AI on the vehicle, and you will own the strategy for doing more with less compute on every vehicle we build next. In this role, you will: • Architect onboard GPU execution. Define how perception, prediction, and planning workloads share onboard GPUs, including scheduling, multi-tenancy, isolation, and deterministic latency under contention., • Drive compute reduction. Own the multi-year roadmap to cut onboard compute per vehicle by setting latency and utilization budgets and landing the biggest levers across models, runtimes, middleware, and hardware in real releases., • Shape hardware and platform direction. Guide next-generation compute decisions (GPU and SoC selection, topology, memory budgets) with workload models and performance projections that justify them, then lead performance bring-up of each new platform., • Lead inference performance at scale. Set direction for the inference stack (TensorRT, CUDA, custom kernels, quantization) and partner with ML teams so models are designed for the hardware they ship on., • Provide technical leadership. Lead and mentor senior engineers, align directors and VPs through design docs, and make the hard calls when performance, safety, and schedule conflict.Qualifications, • BS in computer science, computer engineering, or related field and 10+ years in systems or performance engineering, including leading GPU or accelerator architecture across teams, or building and leading a performance engineering team., • Deep CUDA platform (programming model, runtime, and driver) and NVIDIA GPU microarchitecture expertise (Ampere through Blackwell, Orin, Thor)., • Proven record setting technical direction and delivering large, measurable end-to-end gains in latency, utilization, or cost., • Working knowledge of ML inference optimization (TensorRT, XLA, Triton, quantization, fusion) and expert C++ on Linux., • Ability to align ML, systems, hardware, and leadership on a shared technical plan.Bonus Qualifications, • Real-time or embedded GPU experience: autonomy, robotics, AR/VR, games, or HPC. Production GPU multi-tenancy (MPS, MIG, priority streams). New GPU architecture or platform bring-up, benchmarking methodology, or workload modeling and projections.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description The Executive Office of Economic Development (EOED) is seeking an experienced Security Assurance Engineer (Contractor) to provide fixed-term security delivery capacity for two active fiscal year 2027 capital projects: the Division of Banks Application Portfolio Modernization and Consumer & Contractor Interaction Modernization. Reporting to the EOED Chief Information Security Officer (CISO), the contractor will work with the project teams to build security requirements, risk analysis, security testing, vulnerability triage, remediation planning and implementation, control implementation, and release-readiness activities into the delivery schedule. The role will provide project-scoped security assurance from design through deployment. The contractor will analyze and triage risks, develop and help implement remediation plans and technical controls, guide agency personnel who own and operate those controls, and verify closure and residual-risk decisions. The engagement is dedicated project delivery capacity for the two named modernization efforts and is not a substitute for recurring security operations or unallocated staff augmentation. Position Details • Job Title: Security Assurance Engineer (Contractor - Division of Banks and Consumer Modernization), • Engagement Term: October 14, 2026 through June 30, 2027, • Estimated Level of Effort: Approximately 1,254 hours over the engagement, • Work Schedule: Project-based allocation; monthly hours will vary according to approved milestones, release windows, testing schedules, and unresolved findings, • Work Model: Hybrid and Massachusetts-based, with on-site attendance as project needs require, • Reporting To: EOED Chief Information Security Officer (CISO), • Primary Assignments: Division of Banks Application Portfolio Modernization and Consumer & Contractor Interaction Modernization, • Position Type: Fixed-term contractor / consulting services Key Responsibilities Security Requirements, Risk Analysis, and Control Implementation • Define and document project security requirements, control objectives, implementation details, and acceptance criteria for planned releases and production changes., • Review application architecture, data flows, integrations, and control designs across applications, databases, Amazon Web Services (AWS), Salesforce-based applications, artificial intelligence (AI)-enabled services, identity, logging, infrastructure, and document handling., • Perform project-specific risk analyses that evaluate threat scenarios, exploitability, exposure, data sensitivity, business and regulatory impact, existing controls, and release dependencies. Document inherent and residual risks with recommended treatment options., • Implement approved project-scoped security controls and technical safeguards when assigned. Guide agency personnel on control ownership, configuration, operation, evidence collection, exception handling, and transition to ongoing management. Vulnerability Testing, Triage, and Remediation • Coordinate static application security testing (SAST), dynamic application security testing (DAST), penetration testing, and vulnerability scanning, including scope, schedules, tool configuration, participants, findings, and follow-up., • Analyze and triage findings from Tenable Cloud, Veracode static and dynamic testing, GitHub, testing providers, and other approved sources. Validate findings, identify false positives and duplicates, analyze root causes and affected components, determine severity and release priority, identify owners, and record the rationale in Jira or the applicable tracking system., • Develop remediation plans with clear technical actions, owners, priorities, dependencies, target dates, validation steps, and any required compensating controls or risk decisions., • Assess RAG pipelines and LLM-based solutions, identifying vulnerabilities - prompt injection, data leakage, retrieval poisoning, model behavior manipulation., • Design & execute adversarial tests for model robustness, red team simulations, jailbreak attempts, evaluate guardrails, • Implement approved project-scoped remediations and controls directly when authorized, or work hands-on with responsible agency personnel and vendors when access or separation-of-duties requirements assign change execution elsewhere. Verify closure through retesting and evidence review. Collaborate with engineering team as required., • Use approved AI-assisted techniques and GitHub Copilot, where appropriate, to support vulnerability testing, secure code review, test-case development, or remediation analysis. Validate results and follow Commonwealth and EOED data-handling requirements., • Escalate material findings, blocked remediation, and decisions that could affect project milestones or go-live readiness to project leadership and the EOED CISO. Shared Security Services Coordination • Work within EOED's managed security service provider (MSSP) relationship with the Executive Office of Technology Services and Security (EOTSS) to coordinate service intake, testing scope, access, scheduling, escalation, evidence exchange, remediation, retesting, and closure., • Coordinate with EOTSS security and technology teams as required, apply applicable EOTSS policies and standards, and clarify responsibilities and handoffs among EOED, EOTSS, project teams, and vendors., • Translate EOTSS and MSSP findings into project-specific priorities and action plans, track dependencies, and escalate service constraints that could affect a release or remediation deadline. Division of Banks Application Portfolio Modernization Support • Support security review and release readiness for the Nationwide Multistate Licensing System (NMLS), Online Annual Reporting System (OARS), and Regulatory Management System (RMS) modernization work, including application, platform, identity, data, logging, and deployment controls., • Coordinate testing and vulnerability remediation for project changes and validate the evidence required for production acceptance. Consumer & Contractor Interaction Modernization Support • Support security design and testing for the Massachusetts Contractor Hub, Lemon Law portal, Home Improvement Contractor (HIC) Hotline AI Voice Agent, and Department of Telecommunications and Cable (DTC) consumer complaint workflows., • Review Salesforce, AWS, AI-service, integration, identity, and document-upload risks and verify go-live readiness for public-facing workflows. Release Readiness and Risk Documentation • Prepare documented risk analyses, triage decisions, security review results, testing evidence, control implementation records, remediation plans and status, and release-readiness records for each project., • Verify that project-scoped Critical and High findings are remediated, retested, or formally accepted before go-live., • Present residual risks and recommended decisions to the appropriate EOED risk-acceptance authority, and coordinate deliverable acceptance with the EOED CISO or designated project owner., • The contractor does not independently accept residual risk or authorize production deployment., • Confirm that agency control owners understand continuing responsibilities and receive the procedures, evidence expectations, and transition information needed to manage implemented controls. Project Controls and Reporting • Associate each supported work item with a project code, defined deliverable, acceptance criteria, and production or asset-in-service cutoff., • Provide monthly reporting by project code showing hours, completed security deliverables, testing completed, findings addressed, open findings and risks, upcoming decisions, and release-readiness evidence., • Coordinate with EOED and agency project managers, product owners, architects, developers, testing teams, application owners, agency control owners, vendors, and EOTSS security and shared-service personnel., • Provide limited support to closely related capital security work only when it does not displace commitments to the two primary projects. Role Boundaries • The role may implement or support remediation and controls tied to approved project deliverables. It does not own routine enterprise scanning, generic vulnerability backlog work, broad policy maintenance, or unrelated incident response., • The role does not provide recurring access reviews, standing audit support, general security awareness training, or other ongoing operational duties., • Post-go-live monitoring and maintenance are outside scope unless separately approved as a defined project transition deliverable. Required Qualifications • Five or more years of professional experience in application security, cloud security, product security, security engineering, or a closely related field., • Bachelor's degree in cybersecurity, computer science, information systems, engineering, or a related field. A Certified Information Systems Security Professional (CISSP) credential, or a comparable security certification, together with relevant professional experience will be considered equivalent to the bachelor's degree requirement., • Demonstrated experience defining security requirements and reviewing application architectures, data flows, integrations, and technical controls., • Experience coordinating SAST, DAST, and penetration testing and validating remediation or retest evidence., • Demonstrated experience performing risk analysis and vulnerability triage, developing remediation plans, implementing or supporting technical remediation, and tracking findings to closure., • Experience implementing security controls and guiding agency or business personnel on control ownership, operation, evidence, exceptions, and ongoing management., • Working familiarity with Jira, Salesforce-based applications, Tenable Cloud, Veracode static and dynamic testing, GitHub, and GitHub Copilot or comparable approved tools., • Experience using AI-assisted capabilities responsibly for vulnerability testing, source-code or configuration review, finding analysis, or remediation planning., • Working knowledge of identity, data protection, logging, deployment, cloud, and infrastructure controls for complex applications., • Experience documenting security findings, residual risk, control decisions, and production-readiness recommendations., • Experience coordinating security work across project teams, vendors, shared-service organizations, and managed security service providers., • Ability to manage concurrent work against milestones, release schedules, acceptance criteria, and project reporting requirements., • Excellent written and verbal communication skills, including the ability to explain technical risks to technical and non-technical stakeholders., • Ability to work independently, maintain accurate evidence, and escalate risks or blockers promptly. Preferred Qualifications • Experience securing AWS, Salesforce, public-facing digital services, or regulated application environments., • Experience supporting legacy-platform modernization, cloud re-platforming, or complex application integrations., • Experience working with AI solutions and infrastructure - (RAG pipelines, LLM models, Voice Models), • Familiarity with security considerations for AI-enabled services, document uploads, constituent data, and regulated workflows., • Hands-on experience using Jira, Tenable Cloud, Veracode, GitHub, GitHub Copilot, and Salesforce-based applications in an enterprise or public-sector delivery environment., • Knowledge of National Institute of Standards and Technology (NIST) security frameworks and Commonwealth of Massachusetts or EOTSS security policies and standards., • Prior experience in state government, the public sector, financial services, consumer protection, or another regulated environment., • Relevant certifications such as CISSP, Certified Cloud Security Professional (CCSP), Certified Secure Software Lifecycle Professional (CSSLP), or a comparable application, cloud, or security engineering credential., • Experience coordinating work across internal teams, systems integrators, vendors, and independent testing providers. Performance Expectations and Deliverables • Security input is provided during design and build, not only at the end of delivery., • Each project has documented security requirements, risk analyses, triage decisions, review results, testing records, control evidence, and clear risk decisions before production., • Remediation plans identify accountable owners, priorities, dependencies, target dates, and validation steps, and approved remediations are implemented and tracked to closure., • Project-scoped Critical and High findings are remediated and retested, addressed through approved compensating controls, or formally accepted before go-live., • Implemented controls are documented, supported by evidence, and transitioned to agency personnel with clear operating and management guidance., • Release-readiness evidence is complete, accurate, traceable to acceptance criteria, and available for management review., • EOTSS service requests, findings, escalations, dependencies, and handoffs are tracked through the applicable EOED and MSSP workflows., • AI-assisted testing and analysis are independently validated and performed only through EOED-approved tools and processes., • Monthly reporting clearly shows hours, completed deliverables, testing performed, findings addressed, open risks, and upcoming decisions by project code., • Work remains focused on the two primary projects unless the CISO approves a limited, non-displacing adjacent capital assignment. EEO:- Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans

Job Description FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. Hardware Team: The Hardware Team at FieldAI develops perception and compute payloads that power autonomous robotics systems in complex real world environments. Our work spans the full hardware stack designing and integrating sensing systems (LiDAR, camera, TOF, IMU, GPS), embedded compute (CPUs, GPUs, microcontrollers, Linux, ROS), electrical systems (power distribution, communication), and mechanical components (structures, thermal regulation, ingress protection). The team focuses on both development (research, design, prototyping, testing) and operations (production, testing, QA, debugging). We’re a small, fast-moving team, and we care deeply about improving: 1) core capabilities, 2) system reliability, 3) system scalability. As a growing team we are also building operational systems and procedures from the ground up. Electrical Systems Role: As an Electrical Engineer on the Humanoids Team at FieldAI, you will work on advanced perception, compute, and manipulation systems for humanoid robotics. You will also work closely with advanced ML teams to ensure our robots can complete increasingly complex tasks. Your work will span across power systems, high speed communication, and PCB design with the goal of ensuring our systems are electrically robust, safe, and scalable. Responsibilities may span the full lifecycle from electrical CAD through production to field support. You will collaborate closely with the mechanical, sensor, and compute teams to build tightly integrated solutions ready for deployment in challenging field environments. While your focus will be on electrical systems you will likely contribute across all hardware domains. What You Will Get To Do 1. Electrical System Design Power Architecture: Design regulated power systems including voltage rails, DC/DC converters, switches, fuses, and grounding schemes. Wire Harness Design: Design and document robust wire harnesses for power and data lines, including shielding, strain relief, and standard connectors. PCB Design: Create PCBs for power distribution, protocol bridging, and embedded control. Networking & Communication: Architect wired and wireless communication systems (Ethernet, USB, CAN, I2C, WiFi, 5G). Budgets & Tolerances: Maintain system-level power and bandwidth budgets. Ensure electrical tolerance to noise, EMI, and vibration. 1. Electrical System Implementation CAD & Schematics: Create PCB schematics, harness diagrams, pinouts, and complete PCB BOMs using tools like KiCAD or Altium. Calculations: Conduct electrical calculations including current draw, peak power, signal integrity, and fault analysis. Design for Field Conditions: Engineer for EMI/EMC robustness, thermal resilience, and fault isolation under field operating conditions. Testing: Conduct power validation (noise, load, transients), communication tests (bandwidth, latency), and EMI evaluation. Integration: Collaborate with sensor, compute, and mechanical teams to ensure end-to-end system compatibility and robustness. Documentation & Budgets: Maintain PCB schematics and systems level wiring diagrams. Manage system-level power and data bandwidth budgets. 1. Electrical System Production & Servicing Build: Work with vendors and contract manufacturers to procure PCBs and harnesses. Develop QA checks for incoming units. Debug: Investigate system faults using logs, oscilloscopes, analyzers, and power monitors. Support: Provide hands-on support during integration, deployment, and servicing in the field. What You Have Education: B.S., M.S., or Ph.D. in Electrical Engineering, Computer Engineering, Robotics, or a related field. Experience Level: We are recruiting across a wide range of experience levels from entry level engineers to senior and staff engineers. Power Systems: Experience designing and testing low-voltage regulated power systems. Harnessing: Hands-on design and integration of custom wire harnesses for robotics or automotive-style systems. PCB Design: Proficiency in PCB schematic and layout using KiCAD, Altium, or equivalent tools. Communication Protocols: Familiarity with USB, Ethernet, CAN, I2C, GMSL, and wireless technologies. Testing & Debugging: Skills using electrical test tools including oscilloscopes, power analyzers, and EMI/EMC setups. Documentation: Ability to produce detailed electrical documentation for design, manufacturing, and servicing. Systems Thinking: Experience working across mechanical, compute, and autonomy teams to deliver robust integrated systems. Cross Functional Robotic Skills: Ability to contribute electrical, sensing, and embedded computing work to deliver robust integrated systems. What Will Set You Apart Scaling: Experience taking systems from prototype to large scale production. Field Environments: Experience developing systems for harsh field environments. Deployed Robotics: Experience working on robotics deployed in real world settings such as autonomous vehicles, drones, or ruggedized robots. Systems Level Robotics: Fluency across electrical, mechanical, and software systems. Reliability Engineering: Background in fault protection, EMI/EMC compliance, and safety-critical design. Why Join FieldAI? FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Zoox is looking for an experienced Senior/Staff Software Engineer to build, scale, and operate our custom High-Performance Computing infrastructure. As Zoox scales its autonomous vehicle development, our HPC platform must keep pace with rapidly growing compute, storage, and scheduling demands across the company. You will modernize our HPC platform—built on industry-leading technologies like Ray.io, SLURM, and Kubernetes—with a focus on reliability, scalability, and world-class developer velocity. These HPC services form the backbone of development workflows across all Zoox software teams, from data engineering to training our AI models in Perception, Planner, Prediction, to Simulation, and more. You will have a direct impact on the productivity and effectiveness of every engineering team at Zoox. The position comes with a high degree of independence and the opportunity to define Zoox's HPC platform strategy, both technically and organizationally. You will work closely with stakeholders in Autonomy and Software teams to understand their workload requirements and translate them into robust, scalable infrastructure. In this role, you will: Design and implement core services and abstractions for distributed compute infrastructure supporting hundreds of thousands of concurrent jobs Work with customer teams and other infrastructure teams to build a multiyear software engineering roadmap for the HPC platform Lead multi-quarter, cross team initiatives that drive org-wide improvements Create production-grade APIs, SDKs, and tools that make it easy for engineers across Zoox to run large-scale distributed workloads Design and improve job scheduling algorithms and auto-scaling policies to maximize reliability and resource availability Design multi-region orchestration strategies that optimize for data locality, reliability, and performance Identify and resolve systemic reliability and performance issues through profiling, analysis, and collaboration with workload owners across multiple teams Evaluate new technologies and paradigms that improve Zoox's computational and storage capabilities Develop capacity planning tools and forecasting models to support Zoox's growing compute needs Mentor junior engineers, guiding them through their career development Qualifications Experience designing and operating large-scale distributed systems in production Experience with Ray.io, particularly Ray Core and Ray Data (or equivalent technologies) Experience with Kubernetes, particularly for heterogeneous workloads Experience with cloud infrastructure on AWS or similar providers Track record of shipping and operating reliable, highly available scalable infrastructure Demonstrated ability to prioritize development work and build cross-functional consensus around technical tradeoffs Proficiency with Python Bonus Qualifications Exposure to machine learning workloads (training, inference, data generation) Experience with Kubernetes or SLURM at scale (>10k+ nodes) Experience with SLURM workload manager and advanced scheduling policies Background in algorithmic optimization or operations research Experience building developer tools and platforms used by large engineering organizations There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description The Collision Avoidance System (CAS) is responsible for detecting and reacting to imminent collision situations in support of our vehicle’s overall safety goals. CAS Perception is responsible for processing raw sensor data from our vehicle’s world-class sensor suite using a combination of geometric, interpretable algorithms and deep learning to detect near-collisions with obstacles along our intended driving path, in the most challenging dense urban environments and under tight compute resource constraints. Overall CAS is parallel and complementary to our Main Artificial Intelligence (AI) autonomy stack, and has a close relationship with our vehicle hardware and safety teams in order to architect redundancy into our overall driving system. The CAS Verification & Validation (CAS V&V) is a multidisciplinary team data, software and systems engineers defining and building metrics to measure the Collision Avoidance System performance and work with the Systems Design and Mission Assurance (SDMA) and QA teams to develop validation plans for the features. In this role, you will: • Apply distributed computing algorithms to analyze petabytes of urban driving data., • Develop metrics and tools to analyze errors and system improvements., • Work closely with CAS engineers to evaluate system performance., • Collaborate with Perception engineers to define metrics for autonomous driving., • Partner with Planning engineers to measure performance in complex urban environments.Qualifications:, • BS, MS, or PhD degree in computer science or a related field, • Fluency in C++ and/or Python, • Extensive experience with programming and algorithm designBonus Qualifications:, • Experience with analysis of latency for safety-critical software systems, • Experience with petabyte-scale distributed computing (Spark, Databricks, generic MapReduce pipelines), • Background in Bayesian statisticsBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. We are offering a Fall 2026 internship focused on humanoid manipulation for PhD students interested in advancing embodied intelligence on humanoids. As a research intern, you will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities that directly support FieldAI’s autonomy and robot learning efforts while advancing the field of robotics through academic research with the goal of publishing a paper to a leading journal or conference. What You Will Get To Do Advance Humanoid Manipulation Research • Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks., • Explore loco-manipulation problems that integrate perception, planning, and control., • Work towards super-human dexterity, developing systems that outperform human teleoperation.Contribute to the Research Community, • Work towards publishing a paper in a leading robotics conference/journal, • Work closely with other researchers, both internal and external., • Present your work at Field at robotic conferencesContribute to Robotics Foundation Model Development, • Support data collection pipelines used to train robotics foundation models., • Work with embodiment-agnostic representations to enable transfer across robot platforms., • Collaborate with researchers to integrate manipulation data into scalable learning frameworks.Collaborate Across Disciplines, • Work with teleoperators and field teams to refine interfaces and improve manipulation outcomes., • Partner closely with researchers and engineers to align experiments with broader autonomy goals., • Engage with mechanical and electrical engineers on hardware integration and system bring-up.What You Have, • Current PhD student in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, AI/ML, or a closely related field., • Research experience in robotic manipulation, loco-manipulation, or related robotics domains., • Strong foundation in robot kinematics, dynamics, and control., • Proficiency in Python and/or C++, with experience using robotics or ML tooling., • Experience designing experiments and evaluating results on robotic systems (simulation or hardware)., • Curiosity, initiative, and a strong interest in embodied intelligence and real-world robotics., • Publications in leading robotics journals/conferences (ICRA, IROS, CORL, RA-L, T-RO, etc.)The Extras That Set You Apart, • Prior experience working with humanoid robots or dexterous robotic hands., • Background in learning-based manipulation, including imitation learning or reinforcement learning., • Hands-on experience running experiments on real robot hardware., • Familiarity with ROS or ROS 2., • Publications, preprints, or open-source contributions in robotics or AI., • Interest in bridging cutting-edge research with practical, field-ready robotic systems.Why Join Field AI? FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. We are looking for a Research Scientist to advance the state of the art in large-scale learned humanoid manipulation. In this role, you will develop new methods for learned and physically-grounded models, spanning reinforcement-learning, imitation learning, multimodal representation learning, cross-embodiment transfer, and beyond. Working within FieldAI’s broader humanoid manipulation roadmap, you will formulate new approaches, design rigorous experiments, and validate resulting capabilities on real humanoid robots. You will work closely with research engineers and systems teams to ensure that research advances translate into scalable, reliable manipulation and loco-manipulation systems. You will also contribute to FieldAI’s technical direction in robotics foundation models, including how models are architected, trained, evaluated, adapted, and deployed across robotic platforms. This role combines fundamental research with the opportunity to demonstrate meaningful advances on complex real-world robotic systems. What You’ll Get To Do • Advance Humanoid Manipulation Research Help lead high-impact research projects in general-purpose humanoid manipulation and loco-manipulation. Develop novel model architectures, learning objectives, action representations, and training methods for large-scale robot learning. Establish strong baselines, evaluation protocols, and benchmarks for manipulation performance and generalization. Advance Robotics Foundation Models Research large-scale VLAs and other multimodal behavior models that connect perception, language, reasoning, and continuous robot action. Develop imitation-learning and reinforcement-learning methods for improving robustness, precision, dexterity, and long-horizon task performance. Investigate model adaptation, temporal abstraction, memory, uncertainty, data efficiency, and compositional skill learning. Study how model performance scales with architecture, data quantity, data quality, task diversity, and embodiment diversity. Develop methods for transferring capabilities across robots while accounting for embodiment-specific sensing and control constraints. Drive Real-World Deployment and Validation Lead research projects from initial hypothesis through large-scale training, deployment, and validation on physical humanoid robots. Design real-world experiments that expose model limitations and measure generalization under realistic environmental variation. Analyze failures at the level of data, representations, policy behavior, perception, and control. Use insights from robot deployments to guide new research questions and model improvements. Demonstrate learned capabilities across dexterous manipulation, bimanual coordination, and loco-manipulation tasks. Translate Research Into Scalable Systems Partner with research engineers to turn new algorithms into reproducible training pipelines and reliable robot capabilities. Help define data-collection strategies, dataset composition, evaluation standards, and model-development priorities. Provide technical leadership across research projects and mentor other researchers and engineers. Communicate findings clearly through internal technical reviews, publications, presentations, and open-source releases where appropriate. Balance longer-term research efforts with advances that support FieldAI’s near-term autonomy roadmap. What You Have PhD in Robotics, Computer Science, Machine Learning, Electrical Engineering, Mechanical Engineering, or a closely related field. A strong research record in robot learning, robotic manipulation, reinforcement learning, imitation learning, multimodal learning, or a related area. Demonstrated ability to lead research projects from an initial technical question through rigorous experimental validation. Deep expertise in at least one relevant area, such as foundation models, VLAs, generative policies, reinforcement learning, imitation learning, or multimodal foundation models. Experience training and evaluating modern deep-learning models using PyTorch. Strong understanding of robotic manipulation, including relevant aspects of kinematics, dynamics, control, perception, and planning. Experience deploying and evaluating learning-based methods on physical robotic systems. Strong experimental judgment, including the ability to design informative ablations, baselines, metrics, and evaluation protocols. A track record of publications or equivalent research impact in leading robotics or machine-learning venues. Ability to communicate research ideas clearly and collaborate effectively across research, engineering, systems, and product teams. The Extras That Set You Apart Research experience with humanoid robots, bimanual systems, or multi-fingered robotic hands. Experience developing robotic foundation models, multimodal transformers, diffusion or flow-based policies, or other large behavior models. Experience with reinforcement-learning fine-tuning, offline RL, reward modeling, preference learning, or autonomous policy improvement. Research on cross-embodiment transfer, multi-robot learning, or embodiment-general action representations. Experience developing or studying large-scale robotics datasets and data-scaling strategies. Experience combining autonomous rollouts, simulation, web-scale data, teleoperated data, and other heterogeneous data sources. Experience leading collaborations spanning algorithm development, infrastructure, and real-robot deployment. Why Join Field AI? FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description As a Full Stack Cloud Engineer, you’ll build and modernize scalable AWS-based applications — developing backend services, APIs, and integrations while also contributing to frontend dashboards and user interfaces. One engagement you may be migrating and refactoring a legacy application into a serverless, microservices architecture using Lambda and API Gateway, the next you’re building full-stack cloud-native applications using React, Python, or Java with secure, event-driven AWS services. You’ll collaborate closely with clients and project teams to design solutions, improve architectures, and deliver modern cloud applications that are secure, scalable, and business-driven. What You’ll Do: • Assisting in the designing and building modern and highly scalable cloud-based applications for customers, • Migrating and modernizing customer legacy applications using AWS services Working with Project Managers and clients to provide recommendations and technology roadmaps to meet their business needs • Actively participating in team meetings and cross-functional interactions, • Keeping team members and supervisors informed of progress and issues, • Actively contributing to client project status meetings, • Contributing to R&D projects to validate/invalidate new services offerings, • Remaining current with technology trends and new technologies, • Proposing the latest technology usage and integration standards, • Developing and managing backend infrastructure, APIs and integrations to support cloud-based solutions, using programming languages like Python, Java, and PHP, • Participating in code reviews, document infrastructure-as-code, and assist with UI/UX, • Building out frontend interfaces and dashboards for applications and infrastructure using languages like Angular and React, • Utilizing best practices for security, compliance, and business continuity in cloud solutions Required Skills • 5+ years’ experience as a cloud engineer with hands-on expertise across AWS cloud services, • Strong experience with infrastructure-as-code tools like CloudFormation, • Experience coding in multiple languages including Node.js, Python, Angular, React, .NET Core, .NET Framework, • Experience using AWS platforms including but not limited to Cognito and Amplify, • Understanding of modern app architectures in cloud environments, • Able to collaborate with cloud engineer and project management teams Preferred • AWS Certification(s) a must have (can be obtained upon hire) - minimum requirement at 90 days is AWS Certified Developer Associates, • In-depth experience with one or more programming languages like Java, JavaScript, Python, C# used for developing cloud-native applications., • Understanding of cloud computing concepts - IaaS, PaaS, serverless, containers etc., • Working knowledge of Amazon Web Services - key services like EC2, S3, Lambda, API Gateway, ECS, Fargate, RDS etc., • Experience using AWS command line tools and SDKs to manage infrastructure as code, • Building, deploying, managing microservices applications on AWS, • Working with AWS data storage solutions like DynamoDB, NoSQL, and Aurora RDS, • Experience with containers & orchestration platforms like Docker, Kubernetes on AWS Security best practices for applications in the public cloud, • Experience with CI/CD pipelines and automated testing, • Building event-driven architectures on cloud platform, • Using infrastructure as code tools like CloudFormation, • Frontend JavaScript frameworks like React, • Machine learning capabilities like SageMaker, • Leveraging serverless architectures where applicable The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate’s professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionDiscovery IT System Administrator Employment Type: Full-Time, Executive-Level Department: Legal CGS is seeking a dedicated Discovery IT System Administrator to join a fast-paced and hard-working team to assist with any legal accounts. As a Discovery IT System Administrator, you will play a key role in supporting various aspects of the company's portfolio. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: The Contractor shall provide the following services to include but not limited to: - Contractor shall ensure the day-day availability of electronic discovery applications and related tools; - Contractor shall administer and monitor all installed systems and infrastructure, install, configure, test and maintain operating systems, application software and system management tools; - Contractor shall monitor and test application performance for potential bottlenecks, identify possible solutions, and work with vendors and developers to implement fixes; - Contractor shall maintain security, backup, and redundancy strategies; - Contractor shall assist technical architecture design discussions; - Contractor shall liaise with vendors on behalf of OGC to address product issues; - Contractor shall develop and provide training for the end-users; - Contractor shall provide general support, subject matter expertise and advice on the use of electronic discovery tools and applications; - Contractor shall reverse engineer and document the as-is architecture of existing legacy applications or systems; - Contractor shall analyze capabilities, interview and collect business requirements and translate it into technical requirements; - Contractor shall support the discovery application integration/migration activities; - Contractor shall contribute to the Knowledge Management databases by creating and improving technical knowledge articles to assist in future resolution of issues; - Contractor shall have legal technology experience and knowledge of the EDRM; - Contractor shall assist in the implementation of e-discovery tools ( i.e. Relativity, Veritas eDP, or other review platform applications hosted in the cloud environment; - Contractor shall have the skills, knowledge and abilities to support backend infrastructure, data migrations, application installation, management and configuration; - Contractor shall have the ability to install, operate, and manage Microsoft server 2019/2022 and Microsoft SQL Server 2019/2022; - Contractor shall have ability to operate, and manage cloud technologies to include Microsoft Azure, Amazon AWS, VMware, Azure servers, Azure Functions, and Azure API Gateways and/or AWS EC2 servers, AWS Lambda and AWS API Gateways; - Contractor shall have ability to operate and manage relational databases, MySQL and/or SQL Server 2012 or higher. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Phone: +1 (888) 680-5916Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionPay Rate Range: $ 47.72 - 51.51/hr. Role: Technical Architect Job Description: Senior Payments domain & Technology Professional with expertise in Solution Architecture, J2EE/Java Development, AWS Cloud, Artificial Intelligence (AI), Machine Learning (ML), Financial Messaging, and Enterprise Integration. Experience in designing and implementing scalable enterprise applications using J2EE, Spring Boot, REST APIs, Microservices, Python, AWS, Oracle SQL, IBM MQ, and Splunk. Deep knowledge of payment processing standards including SWIFT, ISO 20022, and CBPR , with expertise in end-to-end transaction lifecycle management. Proven track record in cloud transformation, AI-driven solutions, application modernization, and system integration. Skilled in leveraging AWS services and AI technologies to improve operational efficiency, automate decision-making, and deliver intelligent business solutions. Strong background in enterprise architecture, technical leadership, and cross-functional collaboration within complex financial services environments. Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Digital : Machine Learning~Core Java Experience Required: 8-10 years Skills:CategoryNameRequiredImportanceExperienceSkillCategoryTest1MNCore JavaYes14-7 years SkillCategoryTest1MNDigital : Amazon Web Service(AWS) Cloud ComputingYes1>7 years SkillCategoryTest1_MNDigital : Machine LearningYes1>7 years

Job DescriptionJob Summary We are seeking a highly skilled AWS Full Stack Developer to design, develop, and implement modern cloud-native applications on AWS. The ideal candidate will have strong experience in frontend and backend development, microservices architecture, cloud-native solutions, database development, and DevOps practices. This role will be responsible for modernizing enterprise applications, developing scalable APIs and services, implementing efficient data processing solutions using Amazon Aurora, and supporting CI/CD-driven delivery pipelines. Key Responsibilities Cloud & Application Development • Design, build, and deploy scalable cloud-native applications using AWS services., • Develop secure, high-performing, and resilient solutions following AWS best practices., • Participate in application modernization initiatives and cloud transformation programs., • Collaborate with architects and business stakeholders to deliver enterprise-grade solutions.Frontend Development, • Develop responsive and user-friendly web applications using React.js., • Create reusable UI components and integrate frontend applications with backend APIs., • Optimize applications for performance, scalability, and user experience.Backend Development, • Design and develop RESTful APIs and backend services using Java and Spring Boot., • Implement and maintain microservices-based architecture., • Develop backend solutions and automation utilities using Python., • Ensure high availability, security, and performance of services.Database & Data Processing, • Design, develop, and optimize solutions using Amazon Aurora (Postgres SQL), • Develop, maintain, and optimize Amazon Aurora database objects, including stored procedures, functions, triggers, views, indexes and scheduled jobs to support business logic., • Support modernization of existing ETL processes by leveraging Aurora-based data processing capabilities., • Develop new ETL framework based on reference with the existing ETL process., • Optimize database performance, query execution, and data integrity.DevOps & Automation, • Implement and maintain terraform using CI/CD pipelines for automated build, test, and deployment processes., • Manage source control using Git and support branching and release strategies., • Good knowledge of Grafana/Kibana to support monitoring, troubleshooting, • Production release activities. Technical Skills Cloud • AWS (EC2, S3, Lambda, ECS, API Gateway, IAM, CloudWatch, RDS/Aurora, AWS Step Function.)Frontend, • React.js, • JavaScript/TypeScript, • HTML5, CSS3Backend, • Java, • Spring Boot, • REST APIs, • Microservices, • PythonDatabase, • Amazon Aurora, • SQL, • Stored Procedures, triggers, functions, indexes, • Performance TuningDevOps, • CI/CD Pipelines, • Git, • Jenkins / GitHub Actions / AWS Code Pipeline, • Terraform, • Build & Release AutomationKey Competencies, • Strong problem-solving and analytical skills, • Excellent communication and stakeholder management, • Ability to work in a fast-paced Agile environment, • Strong ownership and commitment to delivery, • Collaboration and teamwork mindset

Job Description As a Perception Engineer, you will be instrumental in designing and implementing cutting-edge detection models, utilizing fused sensor data. In particular, the role will be on advanced projects that are aimed at the next generation of driving software, including looking at joint detection and tracking models as well as ways to send rich embeddings to downstream models to relay semantic meaning and capture uncertainty. This role offers a unique opportunity to directly impact Zoox's expansion into new areas. By developing more generalizable and adaptable models, you will help us navigate diverse and challenging circumstances, accelerating our mission to deliver safe and reliable autonomous mobility. We are looking for a highly motivated individual passionate about pushing the boundaries of perception in the autonomous vehicle space. In this role, you will: • Train ML models, perform various studies into incorporating SOTA approaches as well as ablations/modifications of existing models, • Document experimental outcomes and drive towards deploying these models into Zoox robots, • Visualize your data at the input and output to understand the issues, • Collaborate with teams such as ML optimization, data labeling, metrics and planner to ensure project is successful for Zoox releasesQualifications, • MS/PhD in Computer Science or related field, • Experience with PyTorch or related ML frameworks, • Experience deploying learned models into production, • Excellent collaboration and teamwork skills with proven track record of working on large-scale problemsBonus Qualifications, • Prior experience in the AV or related space with joint detection and tracking models, • Deep understanding of how to setup end-to-end training and evaluation processesBase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description On the Motion Planning team at Zoox, you’ll be dedicated to improving the driving behaviors of the robot on public roads. The Planner's job is to figure out where the robot is going and how to get there safely in situations as complex as those found in Downtown San Francisco or on the Las Vegas Strip. This is a cutting-edge problem, which requires teamwork and collaboration across a broad set of experts spanning Planner, Perception, Prediction, Operations, and more. Together, you will create the next generation of algorithmic improvements to expand our robot’s ability to drive in some of the most complex situations found on public roads. Safety is foundational at Zoox, so you will take a measured approach – develop a principled modification to the Planner, test in simulation and on closed courses, and team up with our safety drivers for on-road testing. In this role, you will: • Create principled algorithmic improvements to specific areas of driving behavior and implement those changes in our code base., • Use our extensive backend tooling to test your changes across many different driving situations at the press of a button., • Lead on-vehicle drive reviews to generate actionable feedback on driving performance. Use this experience to help the team learn and make improvements., • Attend conferences and survey literature to stay informed on the most recent developments in the fields of Robotics and Motion Planning., • Write and file patents for novel technologies you develop.Qualifications, • Master's degree in Computer Science or a related field and 8+ years of experience, • Fluency in C++, • Understanding of configuration spaces and a variety of planning techniques (A*, RRTs, PRMs, etc.), • Demonstrated ability to create real-time motion planning algorithmsBonus Qualifications, • Significant contributions to geometric- and/or sampling-based planning algorithms, • Experience with autonomous robots and machine learning or data-driven development processes, • Experience with ROS, pose estimation, SLAM, probabilistic filtering, 3D data, or CUDABase Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI is seeking a Software/Research Engineer to help build the learning systems that power our next generation of humanoid robots. You'll work across whole-body loco-manipulation, reinforcement learning, motion retargeting, and real-world robot deployment, turning new research and technical developments into reliable capabilities on physical humanoids. This is a highly hands-on role for someone excited about closing the loop between research, simulation, and robots operating in the real world. What You Will Get To Do Develop and train whole-body loco-manipulation policies for humanoid robots. Deploy trained policies to physical humanoids and integrate them into our production software stack. Advance our motion retargeting pipeline, transforming human motion into physically plausible, robot-executable behaviors that interact with diverse environments and objects. Reduce the sim-to-real gap by improving simulation fidelity and closing the real-to-sim loop, using real-world robot data to calibrate and refine our simulators. Build automated evaluation and validation systems that make it faster and more reliable to move policies from simulation onto physical robots. Improve the performance and scalability of our robot-learning infrastructure, enabling faster experimentation and policy iteration. Work closely with researchers and engineers across perception, learning, simulation, and hardware to turn new ideas into deployed robot capabilities. What You Bring BS, MS, or PhD in Robotics, Computer Science, Machine Learning, Engineering, or a related field, or equivalent experience. Experience with reinforcement learning, imitation learning, generative models, or other learning-based approaches for robotics. Strong understanding of robotics fundamentals such as kinematics, dynamics, control, and physical interaction. Experience developing and evaluating robotic systems in simulation and/or on physical hardware. Ability to move comfortably between research experimentation and production-quality engineering. What Will Set You Apart Hands-on experience with humanoid robots. Experience with whole-body loco-manipulation. Experience with GPU-accelerated simulation frameworks such as NVIDIA Isaac Sim, Isaac Lab, and/or Newton. Experience with motion retargeting. Experience taking learned robot behaviors from simulation to real hardware. Experience building scalable RL training, evaluation, and/or automated robot-testing infrastructure. Why Join FieldAI? FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the FieldAI Research Institute (FAIRI), is based in Cambridge, MA, where we build risk-aware, field-ready AI systems that unlock general purpose intelligence for robotics. FAIRI is looking for a DevOps Engineer to own the infrastructure our humanoid research runs on. Today that infrastructure is borrowed from Field AI's commercial platform teams and held together by researchers doing it in the margins: the humanoid monorepo has no CI, collected robot data lands in S3 and stops there, and there is no registry telling us what any given dataset actually contains. You will be the first dedicated infrastructure hire inside FAIRI. You will build the CI/CD, data pipelines, and IaC that let a small research team ship reliably — partnering with Field AI's platform, cloud, and data-processing teams rather than rebuilding what they already run well. This is a hands-on ownership role, not a coordination role. What You'll DoCI/CD and Build Infrastructure — 30% Stand up CI/CD for the humanoid monorepo: containerize, push to ECR, run unit tests, build, and gate on simulation system tests before promotion. Work with the platform team's self-hosted GitHub Actions runners (ARM, AMD, CUDA, Jetson-class targets) rather than standing up parallel infrastructure. Cut build times through change detection and remote caching — full builds are currently ~45 minutes uncached. Build test infrastructure that lets the same test run against simple sim, Isaac Sim, or real hardware, driven over ROS 2 messages or the robot REST API. Establish per-automation integration tests so shared-library and output-format changes cannot silently break pipelines. Data Pipelines and Orchestration — 30% Stand up and own FAIRI's Airflow stack for humanoid data processing. Build the ingest path from robot to usable dataset: rosbag/MCAP capture, episode segmentation, format conversion, and delivery to training. Implement data lifecycle guardrails — filtering, review-for-deletion, and retention — so idle-robot and failed-run data does not accumulate indefinitely. Build and operate the dataset and mission registry so every dataset is attributable to a subject, session, robot, and purpose. Support MoCapDB in production: ECS Fargate services, AWS Batch retargeting workers, RDS Postgres, and S3, integrated with FieldAI Auth. Cloud, IaC, and Security — 25% Own FAIRI's AWS footprint as code: ECR, S3, IAM roles and cross-account trust policies, VPC and networking, Kubernetes/EKS workloads. Close the gaps where infrastructure is not yet in code, and bring permissions changes under review. Own compliance posture for research tooling — SOC 2 constraints on SaaS, experiment tracking, and data-sharing controls — in partnership with IT and Security. Eliminate person-owned infrastructure: documented owners, runbooks, and access paths for every FAIRI-owned service. Manage secrets, VPN/Tailscale access paths, and hardware-in-the-loop connectivity to robots on the floor. Enablement and Documentation — 15% Write and maintain runbooks, onboarding guides, and architecture documentation so a new engineer can test and deploy on day one rather than learning it from a teammate. Be the interface between FAIRI and Field AI's platform, cloud, and data-processing teams — negotiating what FAIRI reuses versus owns. Support researchers and systems engineers directly when pipelines, builds, or environments break, including live troubleshooting during demos. Bring reproducibility discipline to research workflows: versioned configs, pinned environments, traceable runs. What You Bring You don't need every item below, but you should bring real, hands-on depth in several of them: 4+ years in DevOps, platform, infrastructure, or SRE roles AWS in production: ECR, S3, IAM, VPC, EKS, Batch, ECS/Fargate Infrastructure as code (Terraform, CDK, Pulumi, or equivalent) with a review-and-version discipline CI/CD design and operation at scale — GitHub Actions strongly preferred, including self-hosted runners Kubernetes in production, including workload scheduling and resource governance Container tooling and build optimization: Docker, BuildKit or daemonless alternatives (Buildah, Kaniko), multi-arch builds, remote caching Workflow orchestration — Apache Airflow or equivalent Python, plus comfort in Bash and reading C++ Linux systems administration and networking fundamentals Observability: logging, metrics, tracing, and alerting you actually built Beyond the toolkit: Comfortable being the only infra person in the room. You can take an open-ended ask and run with it without much hand-holding. Bias toward reuse. You would rather integrate a platform team's runners than build a parallel stack, and you can negotiate that boundary well. Strong documentation habits — you leave runbooks and processes better than you found them. Pragmatic about research velocity. You know when to enforce rigor and when it would just slow the team down. What Sets You Apart Infrastructure experience in robotics, autonomous vehicles, or ML research environments ROS 2, rosbag/MCAP, or Foxglove familiarity Large-scale data pipeline work — TB-scale sensor or video data, lifecycle and retention policy design ML infrastructure: experiment tracking, GPU scheduling, training pipelines, simulation infrastructure (Isaac Sim / Isaac Lab) Hardware-in-the-loop CI — running tests against physical devices from a pipeline Compliance and audit experience: SOC 2, access reviews, data governance Having been the first infrastructure hire on a team before Interest in humanoid robotics and how machines learn from human movement Why FAIRI This role sits inside FAIRI's Research Operations function, supporting the Humanoid Program. It is a foundational hire: you will define what FAIRI's infrastructure looks like rather than inherit it, with the leverage of Field AI's existing platform teams behind you and a research team that will feel the difference immediately. FAIRI's humanoid work runs on real deadlines with real customers among them. The infrastructure you build ships to the floor. Why Join FieldAI? FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI is seeking passionate engineers to play a vital role in the development of multi-robot simulation and fleet orchestration. You will work with a focused team in a fast-paced environment to build simulation environments where robots operate, coordinate, and adapt together in realistic scenes, enabling the company to develop and validate fleet orchestration strategies at scale before deployment. The ideal candidate will have a solid understanding of robotics simulation and multiagent fundamentals along with the practical skills to deliver high-quality, maintainable code on a small, focused team. What You Will Get To Do • Architect high-fidelity multi-robot simulation scenes (terrain, sensors, dynamic obstacles) and scale from single-agent tests to fleet scenarios., • Integrate physics, perception, and comms models so agents behave realistically at fleet scale., • Implement and evaluate fleet-level task allocation, coordination, and planning inside simulation., • Build declarative mission tooling to run thousands of orchestration experiments and profile performance across latency, heterogeneity, and environment complexity., • Calibrate simulation to real-world telemetry with field teams and reduce the sim-to-real gap., • Build domain randomization, scenario generation, and automated regression/benchmark gates for fleet orchestration releases., • Design logging, metrics, and visualization so every run yields actionable data and fleet KPIs (throughput, collisions, comms overhead, idle time)., • Maintain reproducible experiment infrastructure with versioned scenes, configs, and results., • Partner with perception, planning, learning, DevOps, and infrastructure teams to run large-scale simulation and raise standards for fidelity, coverage, and release quality.What You Bring, • MS or PhD in Computer Science, Robotics, Aerospace, or a related field (or equivalent industry experience)., • 7+ years hands-on experience building simulation environments for robotics or autonomous systems., • Proficiency in Python and C++; comfort reading and extending large codebases., • Working knowledge of robotics simulation engines (e.g., MuJoCo, NVIDIA Isaac Sim, Genesis)., • Experience with multi-robot or multi-agent systems: task allocation, distributed planning, swarm coordination, or fleet management., • Familiarity with standard robotics middleware., • Strong problem-solving skills and ability to thrive in fast-paced, interdisciplinary teams., • Ability to translate research into practical, field-deployable systems.What Will Set You Apart, • Publications or open-source contributions in multiagent systems, multi-robot planning, or fleet coordination (ICRA, RSS, IROS, AAMAS, CoRL)., • Experience with domain randomization, synthetic data generation, or sim-to-real transfer at scale., • Background in distributed systems or cloud-based simulation orchestration., • Hands-on work with real robot fleets in field environments (e.g., construction, mining, logistics, defense).Contributions to open-source robotics or simulation frameworks. Our salary range is highly competitive with the market, but we take into consideration an individual's background and experience in determining final salary. Base pay offered may vary depending on geographic location, job-related knowledge, skills, and experience. In addition to competitive compensation, FieldAI offers comprehensive benefits, equity participation, and the opportunity to contribute to cutting-edge advancements in AI and robotics. Why Join FieldAI? FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description About SimpliSafe We're a high-tech home security company that's passionate about protecting the life you've built and our mission of keeping Every Home Secure. And we've created a culture here that cares just as deeply about the career you're building. Ours is a no ego culture of collaboration and innovation where those seeking their next challenge can find big opportunities and make a huge impact on the lives of all those who we protect. We don't just want you to work here. We want you to grow and thrive here. We're embracing a hybrid work model that enables our teams to split their time between office and home. Hybrid for us means we expect our teams to come together in our state-of-the-art office on two core days, typically Tuesday, Wednesday, or Thursday – working together in person and choosing where they work for the remainder of the week. We all benefit from flexibility and get to use the best of both worlds to get our work done. Why are we hiring? Well, we're growing and thriving. So, we need smart, talented, and humble people who share our values to join us as we disrupt the home security space and relentlessly pursue our mission of keeping Every Home Secure. Role Overview We are seeking a Competitive Intelligence Analyst to join our Product Management team and give our product organization a clear, current, and rigorous view of the competitive landscape — spanning DIY and professionally-installed security players (ADT, Ring/Amazon, Vivint, Google Nest, Wyze, Arlo, Eufy, Abode, Cove, and others), as well as adjacent smart home entrants. This is an individual-contributor role for someone who's energized by digging into a competitor's app updates, tearing down a new hardware SKU, or figuring out why a pricing change actually happened, and who can turn that raw material into insight that directly shapes our business. This is a high-visibility opportunity to help shape and scale SimpliSafe's competitive intelligence practice within Product Management, with meaningful latitude to define how the role evolves. Key Responsibilities Monitor and Track the Competitive Landscape • Continuously track competitor hardware launches, software/app releases, feature changes, pricing and subscription-tier updates, and monitoring/service changes across the DIY and pro-install security segments., • Maintain a living competitive intelligence repository (product specs, pricing, positioning, feature-parity matrices, SWOT-style profiles) that Product, Marketing, and Engineering can rely on as a single source of truth., • Monitor public signals — app store listings and reviews, product teardowns, FCC filings, patent activity, job postings, earnings calls, and press — for early indicators of competitor roadmap direction. Turn Intelligence into Product Insight • Conduct feature-gap and pricing/packaging analyses to help Product Managers understand where SimpliSafe leads, lags, or is at parity, and translate that into roadmap-ready recommendations., • Partner with Product Managers during discovery and planning to bring competitive context into requirements, prioritization, and business cases., • Run periodic deep-dive competitor teardown assessments (hardware unboxings, app walkthroughs, install/setup experience) to ground analysis in first-hand usage, not just secondary research., • Support win/loss and customer research efforts, in partnership with UX Research and CX, to understand why customers choose or leave SimpliSafe relative to competitors. Communicate and Enable • Produce clear, concise competitive briefs and readouts for Product and executive leadership — including materials that may be presented to the Executive Team or Board — distilling large amounts of information into the handful of implications that actually matter., • Build and maintain lightweight tools (battlecards, comparison one-pagers, competitive digests) that Product, Marketing, and Engineering teams can self-serve., • Champion hands-on familiarity with competitor products across the company by organizing employee testing programs, making it easy for teams beyond Product to experience the competitive landscape firsthand., • Present findings to cross-functional stakeholders, including Product, Marketing, Engineering and executive audiences. What We're Looking For Required • 2–4 years of experience in competitive intelligence, market research, product management, product analytics, product marketing, or a related analytical role — ideally with some exposure to hardware, IoT, or consumer electronics., • Strong analytical and research skills, comfortable working with both quantitative data (pricing, specs, review scores) and qualitative signals (positioning, messaging, user sentiment)., • Excellent written and verbal communication — able to turn a pile of raw research into a tight, useful summary a busy PM will actually read., • Self-directed and detail-oriented, with genuine curiosity about the category and a habit of noticing what changed and why., • Comfortable working cross-functionally across Product, Marketing, and occasionally Sales/CX. Preferred • Experience or genuine interest in the smart home, home security, or connected hardware categories., • Hands-on comfort using AI/LLM tools to accelerate research and monitoring workflows., • Bachelor's degree in a related field (Business, Marketing, Economics, or similar) — or equivalent practical experience. What Values You'll Share • Customer Obsessed - Building deep empathy for our customers, putting them at the core of our work, and developing strong, long-term relationships with them., • Aim High - Always challenging ourselves and others to raise the bar., • No Ego - Maintaining a "no job too small" attitude, and an open, inclusive and humble style., • One Team - Taking a highly collaborative approach to achieving success., • Lift As We Climb - Investing in developing others and helping others around us succeed., • Lean & Nimble - Working with agility and efficiency to experiment in an often ambiguous environment. What We Offer • A mission- and values-driven culture and a safe, inclusive environment where you can build, grow and thrive, • A comprehensive total rewards package that supports your wellness and provides security for SimpliSafers and their families (For more information on our total rewards please click here), • Free SimpliSafe system and professional monitoring for your home., • Employee Resource Groups (ERGs) that bring people together, give opportunities to network, mentor and develop, and advocate for change. The target annual base pay range for this role is $121,400 - $161,800 This target annual base pay range represents our good-faith estimate of what we expect to pay for this role. We use a market-based compensation approach to set our target annual base pay ranges and make adjustments annually. We carefully tailor individual compensation packages, including base pay, taking into consideration employees' job-related skills, experience, qualifications, work location, and other relevant business factors. Beyond base pay, we offer a Total Rewards package that may include participation in our annual bonus program, equity, and other forms of compensation, in addition to a full range of medical, retirement, and lifestyle benefits. More details can be found here. We're committed to fair and equitable pay practices, as well as pay transparency. We regularly review our programs to ensure they remain competitive and aligned with our values. We wholeheartedly embrace and actively seek applications from all individuals, no matter how they identify. We are committed to cultivating a diverse and inclusive workplace, and we believe our work is enriched when we incorporate a multitude of perspectives, backgrounds, and experiences. We want everyone who works here to thrive and contribute to not only our mission of keeping every home secure, but also to making our workplace safe and supportive for others. If a reasonable accommodation may be needed to fully participate in the job application or interview process, to perform the essential functions of a position, or to receive other benefits and privileges of employment, please contact careers@simplisafe.com.

Job Description The Role Fidelity Investments is looking for a Software Engineer in Test who is passionate about innovative technologies, frameworks, and design patterns. You will be joining a team of engineers passionate about engineering testing solutions for the Wealth Solutions Implementation product area. You will apply your strong software development and test automation skills to design, develop, test, deploy, maintain, and improve Fidelity investments software solutions. You will also be supporting your team in adopting standard methodologies to ensure we are building the right product the right way. Overall, you will have an appetite for learning, evaluating, and recommending new technologies. Software Engineers at Fidelity Investments pride themselves on their experience, leadership, and ability to establish relationships across teams. The Expertise and Skills You Bring A Bachelor's or master's degree in Computer Science, Software engineering or related field 6 to 9 years of experience in software test automation for application UIs, services/APIs, and data quality Financial knowledge strongly advised Experience in crafting and implementing robust QA strategies and test frameworks for API and Web applications, with deep expertise in end-to-end validation Experience in test automation (Playwright, Cypress, Rest Assured, JUnit, Test NG, Maven) Experience with DevOps/Pipelines (Jenkins Core, LWC, Monorepo, etc.) Experience with source control (GitHub, Stash (Bitbucket), Sourcetree) Cloud experience preferred - Amazon Web Services (AWS) Top skills needed: Angular, Playwright, Insomnia/Bruno, Xray, chaos, Splunk, Datadog, node.js, Java, Type Script, SQL, Swagger, Jira, Jenkins core Exposure to emerging technologies and AI assisted development tools, including GitHub Copilot Good understanding of accessibility features and building and testing accessible experiences on Web Focus on the deployment automation and orchestration Assist with code branches, merges, builds pipelines, manage versioning etc. Use your knowledge of testing and testability to influence better software design, promote accurate software engineering and bug prevention strategies, testability and security Build and maintain scalable automation frameworks and CI/CD-integrated pipelines covering unit, component, integration, functional, and performance testing. Ability to work independently under general direction, with a proven sense of ownership and accountability Collaborate with team members on improving team's test coverage, release velocity and production health Obsession with delivering the best end-to-end customer experience

Job Description Program Overview: The Massachusetts Executive Office of Health and Human Services (EOHHS) is the largest secretariat in MA state government, comprised of 16 agencies with over 23,000 employees statewide. EOHHS services directly touch the lives of slightly more than one in four residents in the Commonwealth some of our most vulnerable citizens, including children, youth, adults, and elders. EOHHS provides access to medical and behavioral health care, substance misuse treatment, long term services and support, and nutritional and financial benefits to those with low incomes. We connect elders, individuals with disabilities, and veterans with employment opportunities, housing, and supportive services. We steer troubled youth towards a more successful path and do everything possible to keep children in our child welfare system safe. We support individuals who are developmentally disabled, mentally ill, blind, deaf or hard of hearing. Job Overview The Massachusetts Executive Office of Health and Human Services (EOHHS) is seeking to hire a motivated IT Senior AWS Developer to join its Medicaid Systems Development (MSD) team supporting MassHealth Applications. MassHealth (MH) is the EOHHS office that administers the Medicaid program and the Children s Health Insurance Program (CHIP) in Massachusetts. MassHealth applications provide critical support for access to health care for some of Massachusetts most vulnerable individuals. The Sr. AWS developer s primary role is to support OLTSS initiative to design and develop a serverless application that enables providers to submit an online CIR form and seamlessly transmit the files to our document management system (EDM). The solution captures and stores metadata during upload sessions in a PostgreSQL RDS database for audit and compliance purposes. MassHealth is looking for motivated individuals with deep technical expertise in AWS that seek-out public service as an opportunity, gain valuable experience, and give back to the community. This position is anticipated to be a minimum six-month engagement with the possibility of being extended for a longer term. Job Duties: (Detailed list of Responsibilities) • Responsible for the analysis, design, coding, debugging, testing, and documentation in the development and maintenance of critical MassHealth applications, • Accountable for full systems development life cycle including system architecture documents; technical design documents, release management guide, deployment plan documents, and other technical artifacts, • Prepare SQL scripts for modifying and maintaining data. Write optimized queries, views for integration with other applications, • Document and maintain code using change control software, • Support cross-functional projects and integrated business solutions to enhance stakeholder capabilities and efficiencies, • Work with cross-functional teams to manage projects, create statement of work and communicate progress on goals to both technical and non-technical groups, • Adhere to established Commonwealth policy and procedures REQUIRED SKILLS (Special Skill Set, Abilities, Knowledge ): AWS Cloud Platform (Essential) • 5 years hands-on AWS experience including building, deploying, troubleshooting, and configuration, • 3 years developing AWS Serverless applications using:, • AWS Lambda (Python runtime), • Step Functions for workflow orchestration, • API Gateway for REST/HTTP APIs, • Amazon Cognito for authentication/authorization, • CloudFormation, Terra Form, or CDK for Infrastructure as Code, • S3 for document storage and processing, • CloudWatch for monitoring and logging Frontend Development • 3 years hands-on React development experience, • Experience with modern React patterns (hooks, context, functional components), • Proficiency in JavaScript ES6 , HTML5, CSS3, • Experience with state management (Redux, Context API), • Knowledge of responsive design and accessibility standards (WCAG 2.1) Backend & Database • 4 years Python development experience for backend components, • 3 years hands-on PostgreSQL RDS experience including:, • Relational database design and optimization, • Moderate to complex query writing and performance tuning, • Connection pooling and security best practices Integration & Document Processing • Experience with SOAP/REST web services integration, • Knowledge of document processing and conversion libraries, • Understanding of file upload handling and validation, • Experience with binary data processing and encoding Additional Required Qualifications Technical Expertise • Experience with CI/CD pipelines using GitHub Actions, • Knowledge of security best practices for serverless applications, • Experience with API design and documentation (OpenAPI/Swagger), • Familiarity with containerization (Docker) and orchestration, • Understanding of microservices architecture patterns CMIS & Enterprise Integration • CMIS (Content Management Interoperability Services) experience highly preferred, • Experience with enterprise document management systems, • Knowledge of SOAP/XML web services and MTOM attachments, • Understanding of metadata schemas and content type management Development Practices • Strong experience with Git version control and branching strategies, • Test-driven development (TDD) and automated testing frameworks, • Agile/Scrum development methodology experience, • Code review and documentation best practices Soft Skills & Work Style • Immediate availability for 90-day engagement, • Ability to work independently with minimal supervision, • Strong problem-solving and debugging skills, • Excellent communication skills for technical documentation, • Experience working in fast-paced, deadline-driven environments, • Ability to quickly understand existing codebases and systems QUALIFICATIONS (Education, Years Experience, Certificates): • Bachelor s degree in computer science or a related field or relevant work experience, • 8 years experience programming in a team environment., • Strong working knowledge and experience in programming with Oracle and Java/J2EE technologies., • Ability to design SQL databases given applications demands and data models, • Working knowledge and experience of application servers, ideally WebLogic and AWS, • Proven ability to write well-designed, efficient, and testable code, • Experience supporting a test-driven development culture, • Knowledge and experience working with information and security architectures, • Experience programming in Agile methodologies EEO:- Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans

Job Description FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. About the Role Field AI is transforming how robots interact with the real world. Our R&D team, the FieldAI Research Institute (FAIRI), is based in Cambridge, MA, where we build risk-aware, field-ready AI systems that unlock general purpose intelligence for robotics. FAIRI is looking for a Senior Data Operations Engineer to run the day-to-day of our data operations function: building the tooling the pipeline runs on, staying hands-on enough to dogfood and stress-test that tooling yourself, and managing the interns and contractors who carry out the bulk of day-to-day collection and annotation. You’ll work directly with the Research Operations Partner to scale FAIRI’s in-house data function, and you’ll set the technical and operational bar the rest of the Data Operations Engineering team is built around. What You’ll DoData Tooling & Infrastructure — 25% Build and maintain hardware sensor suites — sensor harnesses, camera arrays, mounting fixtures, wearable sensor stacks (including soldering and cable assembly). Write and maintain QA scripts for in-house and vendor data drops. Build and maintain annotation software and other internal data tooling. Data Collection & Annotation — 25% Run motion capture, teleoperation, and human-subjects data collection sessions yourself — the fastest way to dogfood and stress-test tooling and protocols before handing them to the team. Annotate robotics/AV datasets (object interaction, contact state, multi-agent) against FAIRI’s evaluation framework. Use hands-on collection and annotation work to surface tooling gaps and drive the tooling roadmap above. Team Management & Documentation — 25% Manage and schedule data collection interns and contractors; own day-to-day throughput and quality. Onboard and train interns/contractors on equipment, SOPs, and the informed-consent process. Write and maintain SOPs and other supporting documentation for data collection, annotation, and lab operations. Own first-level QC and escalation for intern/contractor output; flag protocol or safety issues. Technical Demo Support — 25% Learn the product stack and operate various robotic platforms to demonstrate FieldAI FFM (Field Foundation Model) capabilities. Support demo planning and execution, coordinating with the Research Operations Partner Help produce content showcasing FieldAI’s ability to deploy robots on dull, dirty, and dangerous jobs. Troubleshoot hardware and software issues live during demos with important stakeholders. What You Bring You don’t need every skill below, but you should bring real, hands-on depth in several of them: Soldering and cable assembly Motion capture systems (e.g., Vicon, OptiTrack, markerless/IMU) Data annotation for robotics or autonomous vehicles QA for hardware and/or software 3D scanning and 3D printing Data collection and human subjects research (IRB/consent familiarity a plus) AR/VR development or production Python, Java, or equivalent scripting LIDAR Robotics (platforms, sensors, or control) Linux command line Blender or Unity Film/TV production Beyond the toolkit: Comfortable moving between hardware and software in the same day: genuinely hands-on, not hands-off. High ownership: you can take an open-ended ask (“troubleshoot why this data had issues ”) and run with it without much hand-holding. Strong documentation habits: you leave SOPs and processes better than you found them. What Sets You Apart Background in film/TV production, game development, data operations, or another field where wearing every hat is normal Interest in humanoid robotics and how machines learn from human movement Why FAIRI This role sits inside FAIRI’s Research Operations function, supporting the Humanoid Program. It’s built to grow: the Data Operations Engineering track is expected to scale from one person today to a small team over the next 12–18 months, and this hire is a leading candidate for Data Operations Engineering Lead as that team stands up. Why Join Field AI? FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are seeking a highly skilled and experienced Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system. The candidate will work closely with other data scientists, perception engineers, and systems engineers to develop datasets and metrics to quantify the performance of our perception system. The candidate will also help define key performance metrics that will enable perception engineers to directly measure the impact of new features on both the overall Perception stack as well as end-to-end system behavior. In this role, You will... • Define key performance metrics that will help perception engineers to measure the impact of new features on the perception stack and the end-to-end system behavior, • Create and maintain datasets used to evaluate the perception stack and end-to-end driving performance., • Analyze large scale metric results to identify patterns and insights about perception failure modes. Present results and insights to leadership., • Design and implement statistical methods to quantify uncertainty in our performance and validation metrics.Qualifications, • Master's or PhD degree in Statistics, Mathematics, Computer Science, or a related field, • Proficient using data query languages (SQL and/or Spark/scala) to quickly build complex yet efficient data queries at scale and using Python to build production-quality code, • Basic experience with autonomous driving, safety-critical systems, or computer vision systems., • Proficient in exploratory data analysis (EDA) and data visualization to understand and present trends and their implications for the business., • Background in statistical modeling and analysis; including experience making data-driven decisions that connect point and uncertainty estimates to business impact.Bonus Qualifications, • Skilled at using AI tools to improve development efficiency and quality., • Experience with experiment design and statistical comparisons (A/B testing, parametric/non-parametric statistics, etc.), • Experience analyzing geospatial data There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Zoox is building a purpose-built robotaxi from the ground up and running it on public roads today, with riders. Every perception, prediction, and planning decision runs on an onboard compute: a fixed-power, fixed-thermal, safety-critical, real-time system. That makes GPU execution one of the most consequential engineering problems in the company. Each new model generation wants more compute. Each new vehicle generation needs to cost less, use less power, and stay safe. Closing that gap is not a kernel-tuning exercise. It takes an end-to-end technical vision for how the whole onboard AI workload is scheduled, shared, isolated, and sized across GPUs, and the authority to drive that vision across ML, autonomy, middleware, and hardware organizations. You will join Zoox's Software Performance organization, which owns end-to-end performance of the onboard software stack: profiling and observability, GPU compute, and compute platform. You will work closely with Perception, Prediction, Planning, ML Infrastructure, and Hardware teams, and you will be a senior technical voice for onboard compute across the company. We are looking for the technical leader who sets that vision. You will define how Zoox runs AI on the vehicle, and you will own the strategy for doing more with less compute on every vehicle we build next. Zoox is building a purpose-built robotaxi from the ground up and running it on public roads today, with riders. Every perception, prediction, and planning decision runs on an onboard compute: a fixed-power, fixed-thermal, safety-critical, real-time system. That makes GPU execution one of the most consequential engineering problems in the company. Each new model generation wants more compute. Each new vehicle generation needs to cost less, use less power, and stay safe. Closing that gap is not a kernel-tuning exercise. It takes an end-to-end technical vision for how the whole onboard AI workload is scheduled, shared, isolated, and sized across GPUs, and the authority to drive that vision across ML, autonomy, middleware, and hardware organizations. You will join Zoox's Software Performance organization, which owns end-to-end performance of the onboard software stack: profiling and observability, GPU compute, and compute platform. You will work closely with Perception, Prediction, Planning, ML Infrastructure, and Hardware teams, and you will be a senior technical voice for onboard compute across the company. We are looking for the technical leader who sets that vision. You will define how Zoox runs AI on the vehicle, and you will own the strategy for doing more with less compute on every vehicle we build next. In this role, you will: • Architect onboard GPU execution. Define how perception, prediction, and planning workloads share onboard GPUs, including scheduling, multi-tenancy, isolation, and deterministic latency under contention., • Drive compute reduction. Own the multi-year roadmap to cut onboard compute per vehicle by setting latency and utilization budgets and landing the biggest levers across models, runtimes, middleware, and hardware in real releases., • Shape hardware and platform direction. Guide next-generation compute decisions (GPU and SoC selection, topology, memory budgets) with workload models and performance projections that justify them, then lead performance bring-up of each new platform., • Lead inference performance at scale. Set direction for the inference stack (TensorRT, CUDA, custom kernels, quantization) and partner with ML teams so models are designed for the hardware they ship on., • Provide technical leadership. Lead and mentor senior engineers, align directors and VPs through design docs, and make the hard calls when performance, safety, and schedule conflict. Qualifications, • BS in computer science, computer engineering, or related field and 10+ years in systems or performance engineering, including leading GPU or accelerator architecture across teams, or building and leading a performance engineering team., • Deep CUDA platform (programming model, runtime, and driver) and NVIDIA GPU microarchitecture expertise (Ampere through Blackwell, Orin, Thor)., • Proven record setting technical direction and delivering large, measurable end-to-end gains in latency, utilization, or cost., • Working knowledge of ML inference optimization (TensorRT, XLA, Triton, quantization, fusion) and expert C++ on Linux., • Ability to align ML, systems, hardware, and leadership on a shared technical plan. Bonus Qualifications, • Real-time or embedded GPU experience: autonomy, robotics, AR/VR, games, or HPC. Production GPU multi-tenancy (MPS, MIG, priority streams). New GPU architecture or platform bring-up, benchmarking methodology, or workload modeling and projections. There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Senior Specialty Solutions Engineer-Network, will be focused on the core tenets of Network and Network Security related solutions for AHEAD prospects and customers including a broad range of technologies. As a member of our Specialty Solutions Engineering team, you will be considered an organizational thought leader for this marketplace. Pre-sales experience is a key component of this role. You will work in partnership with multiple sales representatives to help build a cohesive account strategy for each existing and prospective client. As part of this strategy, you will help sales representatives identify potential technologies and vendors to partner within a given account and assist in driving this strategy throughout a given campaign. Time management and prioritization are essential attributes to being successful. Your goal is to evolve into the technical thought leader for each of your clients. In this capacity, you will work to define strategy, compare alternative approaches, and build key relationships, as well as size and configure products. Positioning and leveraging subject matter experts and inside consultants is a necessity to scale your effectiveness within accounts. AHEAD is actively recruiting for this role and is looking for candidates who consider themselves as a “Next Generation Network Architect.” A core tenet and base requirement for this position is deep understanding of Campus wired and wireless technologies. Understanding and mastery of other areas like Datacenter and cloud networking technologies are a plus. Outside of this core tenet, our expectation is to attract, recruit and attain resources who have a desire to focus not only on traditional on-premise solutions, but also to be looking to career, technology and skill advancement by being actively willing to demonstrate skills and ability to learn new technologies including multiple SDN solutions, network security, load balancing, edge / acceleration, and cloud technologies. Experience or eagerness to learn about and with network and system / access design with Amazon AWS, Microsoft Azure or other cloud services is a key requirement. Roles & Responsibilities: • Participation, Leadership and Coordination of the AHEAD virtual team for Network Infrastructure, • You will also be responsible for working with the AHEAD partner management team and directly with selected vendors to maintain vendor technical and sales relationships, • As a Network Specialist you are a thought leader within the Engineering organization, responsible for designing, architecting, and, at times, consulting for Ahead clients, • Your goal as a Network Lead should be to build skills, relationships, and industry credibility across many segments to drive product, services and consulting sales, • Support the sales teams during engagements by providing advice and solutions or proposals optimized to meet customer technical and business requirements, • Develops relationships with the account managers, partners and customers in support of sales team objectives and engages and leverages team specialist resources as appropriate, • Strategizes and executes technical sales calls, • Completes required pre-sales documentation (configurations, pricing, services, presentations, justifications etc.) quickly and accurately, • Qualifies sales opportunities in terms of customer technical requirements, decision making process and funding, • Presents and markets the design and value of proposed Ahead solutions and business justification to customers, prospects and Ahead management, • Participates in mentorship of entry-level team members, • Possesses strong, detailed product / technology / industry knowledge. Knowledge of job associated software and applications Base Skills:, • Network Infrastructure Experience, • Strong wireless skills (certifications highly looked upon), • Wireless principles/site survey/Ekahau knowledge), • Strong Campus/LAN skills (Cisco and other OEM vendors), • Cisco certifications are highly recommended, • Cisco Nexus Technologies, • IP Routing Protocols, • Cisco Core Datacenter Technologies, • Network Management, • Network Security (Palo Alto/Fortinet) tenants along with SASE knowledgeOther Skills:, • VMware / VMware NSX, • Arista, • Automation skillset, • F5 / NetScaler, • Amazon AWS, Azure, Cloud connectivity and network fundamentals Education & Experience:, • Bachelor’s degree in computer science, Engineering, or equivalent, • Pre Sales and Data Center experience is required, • Professional communication, presentation, analytical, and problem-solving skills., • Experience working as a technical lead in a pre-sale’s sales campaign, • Ability to work under critical conditions and influence others to achieve results, • Strong interpersonal skills with excellent presentation skills, • Must be independent, self-motivated, a self-starter and possess a good working attitude, • Able to work well within a team and partner environment, • Customer focused and results driven This role is located on the east coast...preferably in the NY Metro area. The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits https://www.aheadbenefits.com/ for additional details. Use of AI: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at privacy@ahead.com. You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Title: Senior Supply Chain Technology Engineer Location: Boston, MA Duration: 8 months Hybrid: Mon Thurs onsite, Fri remote Job Description: • On-site role at Client HQ; typical work hours, 4/1 hybrid schedule, • Contract is for project support; extension possible, not guaranteed, • Degree required; Bachelor s minimum, • PMP certification nice to have, not required, • Minimum of 8 years experience required in a tech/related role - 10 years preferred Top must-have skills include the following: • Strong Java development experience, • Knowledgeable of supply chain management/processes (OMS, WMS, logistics coordination, etc.), • Hands on experience with stakeholder management and cross functional teamwork Desired soft skills: • Excellent communication and organizational skills, • Flexibility, • Ability to prioritize Skills that would make a candidate stand out: • Experience with SAP AFS, Manhattan WMS, Amazon ClientF integrations, • Prior experience in the retail/footwear/apparel industry Additional Information • ETW will help support collaboration across global partners to help automate supply chain processes, • ETW will work directly with the operations/supply chain teams, technology teams, etc.; very cross functional role, • 3 rounds of interviews anticipated, • Will prioritize candidates who can start ASAP Who We're Looking For Client is seeking a highly experienced Senior Supply Chain Technology Consultant to support strategic supply chain transformation initiatives and critical operational platforms. This role will focus on the design, development, integration, and support of solutions across Order Management, Warehouse Management, ERP, Fulfillment, and Logistics ecosystems. The ideal candidate combines strong Java engineering skills with deep expertise in Supply Chain operations, OMS, WMS, ERP integrations, and program delivery, and is comfortable partnering with both technical and business stakeholders Key Responsibilities: Supply Chain Technology Delivery: • Collaborate with business, operations, and digital teams to translate requirements into scalable technology solutions., • Collaborate with external partners on project activities, timeline, dependencies to deliver projects, • Design and deliver solutions supporting end-to-end supply chain operations, including fulfillment, inventory management, order orchestration, and logistics execution., • Lead technical analysis, design, development, testing, and deployment activities across multiple business initiatives., • Support strategic transformation programs and operational enhancements across North America and global markets. OMS, WMS & ERP Expertise: • Provide technical leadership across:, • Homegrown AI-Native OMS platform, • Manhattan WMS, • SAP AFS / ERP, • Amazon ClientF (Multi-Channel Fulfillment), • Supply Chain integrations and automation, • Analyze and optimize order lifecycle, inventory flows, warehouse operations, and fulfillment processes ., • Design scalable solutions supporting omnichannel order routing and inventory visibility. Required Qualifications: • 10 years of software engineering and enterprise solution delivery experience., • Strong program management and project delivery skills., • Strong hands-on Java development expertise., • Deep knowledge of Supply chain processes:, • Order Management Systems (OMS), • Warehouse Management Systems (WMS), • Fulfillment and Logistics Processes Experience with: • APIs and Microservices, • Event-Driven Architectures, • Integration Platforms, • Data Mapping and Transformation, • Excellent communication and stakeholder management capabilities., • Experience working directly with business, operations teams, and external partners. Preferred Qualifications: • Hands-on experience with:, • SAP AFS, • Manhattan WMS, • AI-enabled or AI-native OMS platforms, • Amazon ClientF integrations, • Retail, Footwear, Apparel, or Consumer Products industry experience., • Experience supporting large-scale supply chain transformation initiatives., • Familiarity with cloud platforms, modern integration frameworks, and automation technologies. Application Development & Integration • Develop and maintain enterprise applications using Java and modern integration frameworks., • Design APIs, event-driven integrations, and real-time data flows across OMS, WMS, ERP, Amazon, and external partner ecosystems., • Drive integration architecture, data mapping, and system interoperability., • Ensure solutions are secure, scalable, resilient, and aligned with enterprise standards. Program Leadership & Stakeholder Management: • Lead technical workstreams and coordinate activities across business, engineering, vendors, and external partners., • Facilitate requirements workshops, design reviews, testing activities, and deployment planning., • Communicate status, risks, dependencies, and recommendations to leadership teams., • Drive cross-functional alignment and execution in a fast-paced delivery environment. Success Factors: • Strong technical leadership combined with business acumen., • Ability to connect operational requirements with scalable technology solutions., • Excellent problem-solving and analytical skills., • Proven ability to manage multiple priorities and deliver under aggressive timelines., • Collaborative mindset with strong communication and influencing skills., • Amazon ClientF fulfillment enablement, • Omnichannel inventory visibility and order orchestration, • Enterprise integration and automation initiatives

Job Description Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Robotics AI Engineer – Calibration, Localization, and Mapping About Field AI Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact. Learn more at https://fieldai.com. About the Job Field AI is seeking passionate scientists and engineers to play a vital role in the development of advanced geometric robot perception algorithms. As a member of our Calibration, Localization, and Mapping (CLAM) team, you will work with a team of high-focused individuals in a fast-paced environment to deliver production-quality code within our calibration, localization, and mapping subsystems. You will work with a variety of different sensing modalities and help streamline our calibration pipeline and/or develop environment-agnostic localization and mapping algorithms for our downstream autonomy modules. The specific project and work that you will be doing will depend on your specific skill set and area of interest. The ideal candidate will not only have a deep theoretical understanding of modern calibration, localization, and mapping algorithms, but also the practical skills to deliver high-quality and maintainable code on a small, focused team in a fast-paced environment. What You’ll Get To Do • Design and implement state-of-the-art calibration, localization, and mapping algorithms for our autonomous quadrupeds and humanoids, • Develop various tools and metrics to continuously validate and benchmark the performance of our various subsystems, • Write clean, efficient, and maintainable code in C++ and Python, • Collaborate with cross-functional teams to integrate and deploy your algorithms into real-world systemsWhat You Have, • Master’s or Ph.D. in Computer Science, Electrical Engineering, or a related field, with expertise in calibration, localization, and/or 3D mapping, • Strong mathematical foundation in linear algebra, probability theory, numerical optimization, 3D geometry, Lie theory, and 3D kinematics, • Strong theoretical understanding and practical experience with different linear and non-linear state estimation frameworks for sensor fusion, • Familiarity with state-of-the-art LiDAR-inertial odometry and SLAM algorithms, • Familiarity with state-of-the-art visual-inertial odometry and SLAM algorithms, • Experience with sensor calibration (intrinsics and extrinsics) and time synchronization, • Strong proficiency in C++ and Python and modern best practices, with the ability to write maintainable and efficient code, • Strong understanding how ROS works and experience with designing, building, and deploying your own nodes into a complex robotic system, • Strong problem-solving skills, attention to detail, and being able to work independently while managing multiple priorities, • Strong work ethic, highly self-motivated, and excellent written and verbal communication skillsThe Extras That Set You Apart, • Publications and/or patents in calibration, state estimation, odometry, and/or SLAM, • Experience working with noisy sensor measurements and designing outlier-resilient algorithms, • Experience working with computationally constrained platforms and designing efficient, real-time algorithms with low computational complexity, • Experience with other sensing modalities (e.g., radar, doppler-LiDAR, GPS, etc.), • Experience with modern version control and project management toolsField AI Onsite Work Philosophy: Field AI believes in-person collaboration is essential for tackling complex challenges. This is a fully onsite role based in our Boston, MA office, with flexible hours to support work-life balance. We are committed to fostering a diverse and inclusive workplace and encourage candidates from all backgrounds to apply. Compensation and Benefits We take into consideration an individual's background and experience in determining final salary; base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. Also, while we enjoy being together on-site, we are open to exploring a hybrid or remote option. Why Join Field AI? We are solving one of the world’s most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals. Be Part of the Next Robotics Revolution To tackle such ambitious challenges, we need a team as unique as our vision — innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We’re seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators. We are headquartered in always-sunny Irvine, Southern California and have US based and global teammates. Join us, shape the future, and be part of a fun, close-knit team on an exciting journey! We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Atomic Machines is building the Matter Compiler™, the first in a new class of AI-native, all-digital manufacturing systems that build working machines directly from code. The Matter Compiler (MC) is aimed at micro-machines: motors and gears the size of a grain of sand, robots small enough to work inside the body, cooling built directly into the chips that run AI, and the many devices like them that have been waiting on a way to build them. Its first product is PrimeSwitch™, an electromechanical power relay the size of a button battery that carries 150 amps continuous current and opens in 50 microseconds, about a thousand times faster than a conventional contactor. Founded by Jeff Holden — serial entrepreneur, ex-Amazon SVP and Uber's first Chief Product Officer — the company has raised $250 million to date. Atomic Machines is based in the San Francisco Bay Area, with offices in Emeryville and Santa Clara. About The Role: Atomic Machines is seeking a Senior Business Development Manager - Power Distribution OEMs to drive adoption of our next-generation switching technology across the power distribution, protection, and data-center infrastructure ecosystem. The position includes developing strategic relationships and business opportunities with leading OEMs and ecosystem partners across power distribution, circuit protection, switchgear, and data-center power infrastructure. In this technical business development role, you'll identify high-value customer applications, articulate the technical and commercial value of Atomic Machines' technology, and advance strategic OEM programs from initial discovery through evaluation, design-in, qualification, and production. You'll independently lead early technical discussions with customer engineering teams, create momentum across complex development cycles, and engage Applications Engineering when deeper technical expertise is needed. Success means building strategically important OEM programs, advancing them toward production, and establishing Atomic Machines as a trusted technical partner. This role requires approximately 30–50% travel for customer meetings, partner engagement, and industry events. What You'll Do: • Customer and Account Development: Develop and execute account strategies for leading power distribution, circuit protection, and infrastructure OEMs. Build durable relationships across engineering, advanced development, product management, business leadership, and other key stakeholder groups., • Opportunity Creation: Proactively identify customer problems, applications, and emerging requirements where Atomic Machines' technology can provide differentiated value. Create new opportunities rather than relying on an established pipeline or mature book of business., • Technical Discovery and Positioning: Lead initial technical discovery discussions with customer engineering and product teams. Understand customer power architectures, system requirements, product roadmaps, and development timelines, and clearly articulate the technical and commercial value of Atomic Machines' technology., • Design-In Leadership: Own opportunities across the full OEM development lifecycle, from customer problem and application definition through evaluation, design-in, qualification, program nomination, and production. Establish customer evaluations and joint-development activities, define milestones and success criteria, and maintain momentum across complex development cycles., • Commercial Ownership: Lead early commercial discussions and contribute to pricing, partnership, and go-to-market strategy. Evaluate opportunities based on technical fit, customer commitment, strategic value, and commercial potential to guide investment of internal resources., • Cross-Functional Partnership: Partner with Field Applications Engineering when deeper technical support is needed, providing clear context, objectives, and expected outcomes. Work closely with Product and Engineering to translate customer requirements and market insights into product and commercial decisions., • Pipeline and Program Management: Maintain a disciplined portfolio of strategic customer programs, including key stakeholders, applications, technical requirements, opportunity stage, milestones, commercial potential, risks, and next actions., • Market and Ecosystem Development: Build relationships across the broader power distribution, circuit protection, power semiconductor, and AI data-center infrastructure ecosystems. Identify emerging architectures, applications, competitors, and industry requirements that may influence Atomic Machines' roadmap., • Industry Engagement: Represent Atomic Machines in the Open Compute Project and other relevant technical communities, working groups, conferences, and industry events. Develop credibility and relationships with both technical and executive audiences. What You'll Need:, • Approximately 5–8+ years of business development experience in power electronics, electrical distribution, circuit protection, switchgear, power semiconductors, relays/contactors, UPS/PDU systems, or closely related technologies., • Demonstrated experience selling or developing technically complex components or enabling technologies into OEMs., • Experience working directly with customer engineering and product organizations., • Strong technical fluency in electrical and power-electronics systems., • Ability to independently carry meaningful technical discussions with customer engineering teams., • Experience creating and developing new design-in opportunities., • Understanding of long OEM development cycles including evaluation, qualification, design-in and production nomination., • Strong commercial judgment and relationship-development skills., • Ability to operate with significant autonomy in an early-stage environment., • Bachelor's degree required. Bonus Points For:, • Experience with circuit protection, power distribution, solid-state or hybrid switching, relays/contactors, breakers, or adjacent technologies, including AC and high-voltage DC distribution., • Experience supporting data-center or other high-power infrastructure applications; familiarity with next-generation AI data-center power architectures., • Exposure to hybrid protection architectures combining mechanical and semiconductor technologies., • Track record of converting early technical engagement into production design wins., • An established network across the power semiconductor and power infrastructure ecosystem, and/or active participation in the Open Compute Project (OCP) or similar technical industry organizations., • Bachelor's degree in Engineering. Atomic Machines is an equal opportunity employer that values diversity and does not discriminate based on characteristics protected by applicable law. We are committed to an inclusive interview experience, including for individuals with disabilities. To request an accommodation, contact rc@atomicmachines.com. To help our recruiting team manage application volume and respond to candidates more efficiently, Atomic Machines may use AI-assisted tools.

Job Description The Perception team is pioneering the development of a multi-modality foundation model to drive the next generation of autonomous system intelligence. As a Machine Learning and System Optimization Engineer, you will orchestrate and allocate overall system capacity to various core perception models running on-bot, as well as drive large initiatives that allow for more efficient inference by sharing various parts of the perception stack with one another. You will focus on bringing highly efficient, production-ready large-scale models to our on-vehicle stack. We are looking for experts with hands-on experience compressing, accelerating, and deploying complex models, including LLMs, VLMs, or foundation models, for power- and thermal-constrained vehicle SoCs. In addition, you will optimize ML models, write custom CUDA kernels, and build highly concurrent inference code to ensure real-time, deterministic execution on edge devices. In this role, you will: Allocate and distribute system resources (CPU/GPU/interconnect) to various models and inference engines running on the robot. Spearhead cross-cutting initiatives that allow for better compute utilization through sharing/fusing models and better scheduling strategies. Optimize large-scale models (Multi-Modal Sensor Fusion models, LLMs, VLMs) using advanced quantization (PTQ, QAT), pruning, mixed-precision inference frameworks, and parameter-efficient fine-tuning (LoRA, QLoRA). Architect and implement model conversion and compilation pipelines using TensorRT for edge deployment. Write production-level, low-latency, and memory-safe C++ and CUDA code for real-time inference on vehicle systems. Qualifications: Deep experience in system and performance optimization in CPU/GPU systems designed for low latency or high throughput. Deep expertise in working with real-time systems & required constraints such as processing latency, memory utilization, and memory bandwidth pressure. Deep expertise in model quantization (PTQ, QAT) and mixed-precision inference frameworks (INT8, FP8, FP4, BF16/FP16). Proficiency in low-level programming for AI accelerators, specifically developing and optimizing custom ML OPs and TensorRT Plugins with efficient CUDA kernel implementations. Production-level C++ (14/17/20) and Python programming skills, with experience developing concurrent, memory-safe, real-time inference code for edge devices. Bonus Qualifications: Prior experience in high-performance robotics applications such as AV/drones/robots. Familiarity with SOTA autonomous driving perception algorithms (temporal 3D object detection, BEV, 3D Occupancy Networks) and multi-modal sensor processing (Vision, LiDAR, Radar). Experience with end-to-end autonomous driving paradigms (VLM/VLA models, Foundation models) and edge deployment technologies (e.g., TensorRT-LLM). Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSenior Discovery IT System Administrator Employment Type: Full-Time, Executive-Level Department: Legal CGS is seeking a dedicated Senior Discovery IT System Administrator to join a fast-paced and hard-working team to assist with any legal accounts. As a Senior Discovery IT System Administrator, you will play a key role in supporting various aspects of the company's portfolio. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: The Contractor shall provide the following services to include but not limited to: - Contractor shall ensure the day-day availability of electronic discovery applications and related tools; - Contractor shall administer and monitor all installed systems and infrastructure, install, configure, test and maintain operating systems, application software and system management tools; - Contractor shall monitor and test application performance for potential bottlenecks, identify possible solutions, and work with vendors and developers to implement fixes; - Contractor shall maintain security, backup, and redundancy strategies; - Contractor shall assist technical architecture design discussions; - Contractor shall liaise with vendors on behalf of OGC to address product issues; - Contractor shall develop and provide training for the end-users; - Contractor shall provide general support, subject matter expertise and advice on the use of electronic discovery tools and applications; - Contractor shall reverse engineer and document the as-is architecture of existing legacy applications or systems; - Contractor shall analyze capabilities, interview and collect business requirements and translate it into technical requirements; - Contractor shall support the discovery application integration/migration activities; - Contractor shall contribute to the Knowledge Management databases by creating and improving technical knowledge articles to assist in future resolution of issues; - Contractor shall have legal technology experience and knowledge of the EDRM; - Contractor shall assist in the implementation of e-discovery tools ( i.e. Relativity, Veritas eDP, or other review platform applications hosted in the cloud environment; - Contractor shall have the skills, knowledge and abilities to support backend infrastructure, data migrations, application installation, management and configuration; - Contractor shall have the ability to install, operate, and manage Microsoft server 2019/2022 and Microsoft SQL Server 2019/2022; - Contractor shall have ability to operate, and manage cloud technologies to include Microsoft Azure, Amazon AWS, VMware, Azure servers, Azure Functions, and Azure API Gateways and/or AWS EC2 servers, AWS Lambda and AWS API Gateways; - Contractor shall have ability to operate and manage relational databases, MySQL and/or SQL Server 2012 or higher. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Phone: +1 (888) 680-5916Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Our Perception team is responsible for using our sensor data to understand the complex and dynamic environments where we drive. In this role, you will have access to the best sensor data in the world and an incredible infrastructure for testing and validating your algorithms. We are creating new algorithms for segmentation, tracking, classification, and high-level scene understanding, and you could work on any (or all!) of these components. As a Senior Staff ML Engineer, you will lead the development of machine learning algorithms that can range in influence from onboard autonomy to offboard autonomy and validation. You will collaborate closely with other teams specializing in Prediction, Planning, Simulation, and Safety Validation, influencing our overall technical stack. Your role will look at problems in a way that crosses team boundaries to prototype new approaches that influence the long term technical direction of multiple organizations within the company. The impact of the role can be in the form of impacting immediate company milestones to leading forward-looking exploratory projects. Responsibilities • Develop new algorithms to understand the scene around the robot, and how that scene would evolve through time, • Build multi-modal foundation models for on-vehicle and offline applications, • Develop new algorithms to apply generative AI to simulation to improve the realism of our offline validation systems, • Leverage our large-scale machine learning infrastructure to discover new solutions and push the boundaries of the field, • Provide technical mentorship to the broader group of ML developers at Zoox, • Collaborate with engineers on Prediction, Planning, and Simulation to solve the overall Autonomous Driving problem in complex urban environmentsQualifications, • BS, MS, or PhD degree in computer science or related field, • Experience with training and deploying Deep Learning models on sensor data-Experience with production Machine Learning pipelines: dataset creation, training frameworks, metrics pipelines, • Experience with modern computer vision techniques, • Strong mathematical skills and understanding of probabilistic techniques, • Fluency in C++ or Fluency in Python with a basic understanding of C++, • Extensive experience with programming and algorithm design-Strong mathematics skillsBonus Qualifications, • Publications in your field (CVPR, ICCV, RSS, ICRA preferred), • Experience with autonomous robots, • Experience with realtime sensor fusion (e.g. LiDAR, camera, radar), • Experience with novel pipelines and architectures for convolutional neural nets, • Experience with 3D data and representations (pointclouds, meshes, etc.)Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionJob Description – AWS Cloud Engineer (Unix/Linux/AWS Cloud) Job Title: AWS Cloud Engineer Client: State Street Implementation Partner: Infosys Location: Boston, MA (Onsite/Hybrid) Employment Type: Contract / Full-Time Experience: 7–10 Years Job Summary Infosys is seeking an experienced AWS Cloud Engineer to support infrastructure modernization and cloud transformation initiatives for State Street. The ideal candidate will have strong expertise in AWS Cloud, Linux/Unix administration, automation, infrastructure management, and cloud security. The engineer will be responsible for designing, deploying, monitoring, and maintaining highly available cloud environments while ensuring performance, scalability, and compliance. Key Responsibilities • Design, deploy, and maintain AWS cloud infrastructure., • Administer and troubleshoot Linux/Unix servers in production environments., • Build scalable, secure, and highly available cloud solutions., • Automate infrastructure provisioning using Infrastructure as Code (IaC)., • Configure and manage EC2, VPC, IAM, S3, RDS, ELB, Auto Scaling, Route 53, CloudWatch, and CloudTrail., • Implement monitoring, logging, alerting, and performance tuning., • Work closely with application, DevOps, and security teams., • Perform OS patching, server hardening, and vulnerability remediation., • Support disaster recovery and backup strategies., • Troubleshoot infrastructure, networking, and application issues., • Participate in production support and on-call rotations., • Maintain system documentation and operational procedures., • Ensure cloud infrastructure complies with enterprise security standards.Required SkillsAWS Cloud, • Amazon EC2, • VPC, • S3, • IAM, • RDS, • EBS, • ELB/ALB, • Auto Scaling, • Route 53, • CloudWatch, • CloudTrail, • Systems Manager (SSM), • AWS Backup, • AWS KMS, • AWS Secrets ManagerUnix/Linux Administration, • Red Hat Enterprise Linux (RHEL), • CentOS, • Amazon Linux, • Ubuntu, • Shell Scripting (Bash), • Linux Performance Tuning, • User & Permission Management, • File Systems, • LVM, • Cron Jobs, • Systemd, • Process Management, • Package Management, • SSH, • NFSCloud Automation, • Terraform, • AWS CloudFormation, • Ansible, • Python, • BashDevOps Tools, • Git, • Jenkins, • GitHub Actions, • Docker, • Kubernetes (EKS preferred)Monitoring & Logging, • CloudWatch, • Splunk, • ELK Stack, • Grafana, • PrometheusNetworking, • TCP/IP, • DNS, • VPN, • Load Balancers, • Security Groups, • Network ACLs, • Firewalls, • RoutingRequired Qualifications, • Bachelor's degree in Computer Science, Information Technology, or related field., • 7 years of Unix/Linux System Administration experience., • 5 years of AWS Cloud engineering experience., • Experience migrating applications from on-premises to AWS., • Strong scripting skills using Bash or Python., • Experience with Terraform or CloudFormation., • Knowledge of networking fundamentals., • Experience implementing cloud security best practices., • Excellent troubleshooting and analytical skills., • Strong communication and documentation abilities.Preferred Qualifications, • AWS Certified Solutions Architect – Associate/Professional, • AWS SysOps Administrator Certification, • AWS DevOps Engineer Certification, • Red Hat Certified System Administrator (RHCSA), • Kubernetes (CKA) Certification, • Financial Services or Banking domain experience, • Experience supporting mission-critical production environments

Job Description FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. We are seeking a Research Engineer to join our manipulation efforts. In this role, you will work at the intersection of robotics research and applied engineering, building, training, testing, and refining large-scale learned manipulation models and capabilities that accelerate autonomous control and loco-manipulation on humanoid robots. You will collaborate closely with research scientists, engineers, and product partners to design novel manipulation strategies and deliver systems that directly feed into FieldAI’s robot learning pipelines. You will also play a key role in advancing robotics foundation models designed to be generalizable across embodiments, with an initial focus on humanoid platforms. The work will emphasize combinations of learned and physically-grounded models, alongside the data and training systems required to scale them. This role is about pushing the frontier of manipulation research while ensuring that breakthroughs translate into practical, scalable autonomy in real-world environments. What You’ll Get To Do • Advance Humanoid Manipulation Research and Development Design, implement, and evaluate learning-based manipulation models and strategies for humanoid robots across a wide range of tasks. Drive projects from early concepts through on-robot testing and deployment. Develop loco-manipulation capabilities that integrate perception, control, and planning. Drive Robotics Foundation Model Development Contribute to foundation models for manipulation, working on model architecture, data collection, large-scale training pipelines, and deployment infrastructure. Ensure model development supports generalization and transfer across diverse robotic platforms. Collaborate with research scientists to integrate large-scale manipulation data into learning pipelines powering foundation models. Train and evaluate manipulation models using imitation learning, reinforcement learning, and other training approaches. Build Systems That Bridge Research and Deployment Translate research ideas into reliable robotic systems that operate in real-world conditions. Ensure systems are robust, reproducible, and aligned with data collection and learning objectives. Develop experimental infrastructure to support rapid iteration, large-scale training, and evaluation. Collaborate Across Disciplines Partner with mechanical and electrical engineers on hardware integration and system bring-up. Work closely with field teams to refine interfaces and improve manipulation performance. Act as a connective layer between autonomy research and applied robotics engineering. Rapidly Iterate and Deliver Prototype quickly, run experiments on hardware, and validate results in the field. Balance exploratory research with concrete deliverables that support near-term goals. Debug complex system-level issues spanning software, hardware, data, training infrastructure, and learning. What You Have Bachelor’s, Master’s, or PhD in Robotics, Computer Science, Mechanical Engineering, or a related field. 2+ years of hands-on experience in robotic manipulation and/or robot learning in academic or industry settings. Strong foundation in robot kinematics, dynamics, and control, with a focus on manipulation. Strong background in learning-based manipulation, with an emphasis on reinforcement learning and imitation learning, and experience training modern deep-learning models. Experience using frameworks such as PyTorch and building reproducible model-training and evaluation pipelines. Proven experience implementing and evaluating robotic systems on real hardware. Ability to work effectively in fast-paced, highly collaborative environments. Curiosity, ownership, and the confidence to challenge assumptions and propose new approaches. The Extras That Set You Apart Experience working with humanoid robots or multi-fingered robotic hands. Experience training large-scale robot foundation models. Experience with reinforcement-learning fine-tuning, offline RL, and related policy training methods. Familiarity with large-scale data collection, spanning simulation, web-scale data, human-in-the-loop data, and autonomously-collected data. Publications or open-source contributions in top robotics or machine-learning venues. Experience with large-scale robotics data collection and dataset management. Strong interest in bridging cutting-edge research with field-ready robotic systems. Why Join FieldAI? FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI robots reconstruct and interact with the physical world to unprecedented levels. This asks for an unprecedented user experience. Therefore, we are hiring a 3D/AR/VR Software Engineer in support of our humanoid UI/UX team. In this role, you will implement, integrate, maintain, and support AR/VR applications that enable supervision, manipulation, and locomotion capabilities for humanoid robots. You will help turn new robotic capabilities into reliable, maintainable, user-facing systems that can be deployed, evaluated, and operated on real robots. Your work will span design, prototyping, UI implementation, and robot integration, user-study-based evaluation. You will draw on your expertise on input and interaction design, rendering, to build innovative 3D interfaces for robotics. What You Will Get To Do Set Research Vision and Strategy • Define and execute the robotics AI research roadmap in alignment with FieldAI’s mission and product goals., • Identify emerging research directions, tools, and techniques across robotics, embodied AI, and machine learning., • Establish clear technical goals, milestones, and success metrics tied to real-world robot performance.Design and Implement Interactive Workflows in AR/VR, • Design and implement intuitive 3D workflows for supervising, manipulating, and controlling humanoid robots in AR/VR., • Build interaction techniques for spatial input, visualization, teleoperation, task specification, and robot feedback., • Prototype, evaluate, and iterate on new interaction concepts through user studies and deployment on real robotic systems.Integrate the UI with the Robot, • Integrate AR/VR applications with robot perception, planning, manipulation, locomotion, and control systems., • Build robust interfaces for exchanging commands, state, sensor data, and 3D scene representations between robots and user-facing applications., • Debug and optimize end-to-end system behavior across headsets, networks, compute infrastructure, and robotic hardware.Deploy and Support Systems in the Real World, • Turn research prototypes into reliable, maintainable applications that can be deployed and operated on real robots., • Develop tooling, testing, monitoring, and deployment workflows that support repeatable operation across robots and environments., • Diagnose failures in the field and continuously improve system performance, reliability, usability, and robustness.Collaborate Across Disciplines, • Work closely with researchers and engineers across perception, planning, control, manipulation, and hardware., • Translate new robotic capabilities into user-facing workflows and identify interface requirements that inform system design., • Contribute to technical design discussions, code reviews, experimentation, and the development of software infrastructure.What You Have Bachelor’s or Master’s degree in Computer Science, Human-Computer Interaction, Game Development, Creative Technology, Design, Robotics, Electrical Engineering, or a related field. Strong programming skills in C#, C++, or a different relevant language Experience designing, implementing, testing, and maintaining production-quality software. Experience working with Unity, Unreal, git, containers, build systems, and continuous-integration workflows. Experience working with Meta Quest, Apple, Varjo or comparable headsets Strong debugging skills across complex, interactive, distributed, and performance-sensitive systems. Ability to understand prototype code and convert it into maintainable, reliable implementations. Ability to work effectively in a fast-paced, highly collaborative environment. Ownership, attention to detail, and a strong focus on reliability and usability for software evaluated by end users. The Extras That Set You Apart Experience with robots. Experience integrating software with physical systems, sensors, or real-time processes. Experience with teleoperation systems or human-in-the-loop industrial user interfaces. Experience with safety-critical user interfaces or workstations (aircraft cockpits, driver/operator cabs) Experience designing and administrating user studies for ergonomics and human factors. Experience with gloves or other forms of haptics for AR/VR applications. Experience integrating systems with ATAK Why Join FieldAI? FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. FieldAI is seeking passionate engineers to play a vital role in the development of our humanoid robot software stack. You will work with a focused team in a fast-paced environment to integrate perception, planning, locomotion, and manipulation subsystems into a single cohesive system that runs reliably on real hardware in unstructured, real-world environments. A core part of this role will be working with integrating and graduating research-grade capabilities into robust, production-quality systems. The ideal candidate will have a strong understanding of robotic software systems and the practical skills to deliver high-quality, maintainable code on a small, focused team. What You’ll Get To Do • Develop and maintain the core software framework that composes perception, planning, locomotion, and manipulation into a deployable system on humanoid platforms., • Define and enforce subsystem interfaces, communication patterns, and data contracts for reliable, independent module development., • Own system bring-up, sensor calibration, and validation workflows for new sensor/platform revisions and configurations., • Partner with research engineers to take algorithms from prototype to production-quality, tested, maintainable code., • Identify and close reliability gaps with fault handling, performance budgets, integration/regression tests, and hardware validation., • Build repeatable “graduation” pipelines so new capabilities land without breaking existing functionality., • Design and run end-to-end integration tests across hardware and simulation., • Build tooling for automated diagnostics, telemetry, and post-run analysis to speed up debugging., • Coordinate integration milestones across teams, flag risks early, and keep the system continuously shippable., • Profile and optimize latency, throughput, and memory on embedded platforms under real-time constraints., • Harden the stack against real-world failure modes (sensor dropouts, comms loss, thermal throttling, degraded modes)., • Implement runtime monitoring and health checks so the robot can detect, log, and recover from faults autonomously.What You Bring, • Bachelor’s or Master’s in Computer Science, Robotics, Electrical Engineering, or a related field (or equivalent industry experience).H, • Hands-on experience developing and integrating robotics software, including work on physical hardware., • Strong C++ and Python proficiency with modern best practices; able to work in large, multi-language codebases., • Strong understanding of ROS/ROS2 and experience designing, building, and deploying nodes in complex robotic systems., • Solid understanding of real-time systems, inter-process communication, and resource-constrained embedded compute environments., • Experience hardening research/prototype code into production-quality software with testing and fault handling., • Strong problem-solving skills, attention to detail, and ability to work independently while managing multiple priorities., • Strong work ethic, self-motivated, and excellent written/verbal communication skills.What Will Set You Apart, • Experience with humanoid robots, legged locomotion platforms, or complex dexterous manipulation systems.Familiarity with motion planning, whole-body control, or contact-rich manipulation pipelines., • Experience working with computationally constrained platforms and designing efficient, real-time software with low overhead., • Background in CI/CD, automated testing, and release engineering for robotics software., • Contributions to open-source robotics frameworks or tools., • Experience deploying robots in unstructured, real-world environments (construction, logistics, manufacturing, mining, defense).Why Join Field AI? FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Responsibilities The Security Operations Engineer builds and operates security controls, tooling, and automation across DeepHealth's cloud and corporate environments. This role is responsible for configuring, integrating, and maintaining the enterprise security tooling stack, developing detection content, and automating security operations tasks so that controls are repeatable, version-controlled, and auditable. Working within DeepHealth's established security frameworks and under the direction of the Director, Security Operations, this position operates and tunes security controls, detection content, and guardrails. Independent validation of those controls sits with the security operations watch function — a deliberate separation that keeps the control environment defensible under audit. Remediation follows system ownership across Cloud Operations, Platform, and Application Development; this role supplies technical guidance and implements fixes directly where the control is security-owned. This position operates within a regulated healthcare environment across a global operating footprint, with obligations under HIPAA, ISO/IEC 27001, and SOC 2. The role reports to the Director, Security Operations, with future reporting to the Manager, Security Operations as that position is established. • Build, configure, integrate, and tune the enterprise security tooling stack across cloud and corporate environments., • Develop and maintain detection content, correlation rules, and response automation within the SIEM and SOAR platform., • Onboard new log sources and telemetry feeds, validating ingestion completeness, parsing accuracy, and field normalization., • Administer and tune endpoint detection and response tooling, including policy configuration, exclusion governance, and coverage validation., • Integrate security tooling with adjacent platforms through APIs to reduce manual handling and improve data quality., • Implement and maintain security configurations, guardrails, and baselines across Google Cloud Platform, Amazon Web Services, and Microsoft Azure., • Build and maintain security automation and infrastructure-as-code using Terraform or an equivalent framework, so that controls are version-controlled, repeatable, and auditable., • Implement policy-as-code and preventive guardrails using native cloud policy engines or an equivalent open policy framework., • Support cloud security posture management across all cloud environments, including finding deduplication, theme mapping, and routing to owning teams., • Harden cloud resources including compute, storage, database, container, and serverless services against established benchmarks., • Configure and maintain Microsoft 365 and Entra ID security controls, including conditional access, identity protection, and Defender workloads in a hybrid directory environment., • Implement and maintain least-privilege access models, roles, and policies across multiple cloud identity systems., • Implement container and Kubernetes security controls, including role-based access control, workload security standards, image scanning, and runtime protection., • Implement and maintain secrets management practices and tooling, and support the elimination of hard-coded credentials across environments., • Operate vulnerability management tooling, validate scan coverage, and translate raw scanner output into prioritized, owner-routed findings., • Provide technical remediation guidance to cloud, platform, identity, application, and endpoint owners, who retain accountability for closure of findings in their systems., • Implement engineering fixes for findings that fall to security-owned tooling and configuration., • Support remediation tracking for penetration test and vulnerability assessment findings by supplying technical detail and validating that fixes are technically sound., • Support incident detection and response through hands-on technical investigation, including log analysis, endpoint examination, identity and authentication tracing, and cloud audit log review., • Support escalations raised by the external managed security partner by supplying technical analysis and environment context., • Provide feedback into detection quality and alert tuning to reduce noise and improve signal for the monitoring function., • Contribute technical findings to post-incident review, and implement the resulting control and detection improvements., • Participate in tabletop exercises and resilience testing, and act on the technical gaps those exercises surface., • Document all engineering changes to security controls through the change management process, including validation criteria and rollback plans., • Produce and maintain runbooks, playbooks, and technical operating procedures for repeatable security operations tasks., • Write clear, documented, and reviewable code and configuration so that work can be inspected, maintained, and handed over without dependence on any one individual., • Support audit, certification, and customer assurance activities by producing technical evidence on request., • Maintain accurate inventory of security tooling, control coverage, licensing position, and control operating status., • Maintain strict confidentiality of security testing results, control configuration detail, and investigative material, and follow established standards for external disclosure. PLEASE NOTE: This is not an exhaustive list of all duties, responsibilities and requirements of the position described above. Other functions may be assigned and management retains the right to add or change duties at any time. Minimum Qualifications, Education and Experience • 4+ years of hands-on experience in security operations, security engineering, or a comparable technical security role. (Required), • Bachelor's degree in information technology, computer science, cybersecurity, or a related field, or equivalent professional experience. (Required), • 2+ years of hands-on cloud security experience across at least one major cloud provider; Google Cloud Platform and Amazon Web Services preferred. (Required), • 2+ years operating and tuning a SIEM platform, including working with detection content and log sources. (Required), • 1+ year administering Microsoft 365 and Entra ID security controls in a hybrid directory environment. (Required), • Working knowledge of security automation; experience with scripting and infrastructure-as-code is required, with Terraform experience preferred. (Required), • Working knowledge of cloud security posture management and preventive controls. (Required), • Working knowledge of container and Kubernetes security, including role-based access control and image scanning. (Required), • Working knowledge of secrets management tooling and practices. (Required), • Practical experience with endpoint detection and response tooling. (Required), • Working knowledge of vulnerability management and the finding remediation lifecycle, including risk-based prioritization. (Required), • Scripting capability in at least one of: Python, PowerShell, or Bash. (Required), • Familiarity with recognized security frameworks including NIST Cybersecurity Framework, ISO/IEC 27001, and SOC 2. (Required), • Able to communicate technical findings clearly in writing and verbally to both technical and non-technical audiences. (Required), • Able to manage assigned work independently and escalate appropriately. (Required), • Available to support incident response activity outside standard business hours as required. (Required), • Microsoft Office experience. (Required), • Industry certification such as Security+, CompTIA CySA+, or a cloud provider security certification. (Preferred), • Experience in healthcare, medical device, or another regulated industry, and working familiarity with HIPAA obligations. (Preferred), • Experience working alongside or integrating with a managed security service provider. (Preferred) Quality Standards • Communicates, cooperates, and consistently functions professionally and harmoniously with all levels of supervision, co-workers, visitors, and vendors., • Demonstrates initiative, personal awareness, professionalism and integrity, and exercises confidentiality in all areas of performance., • Follows all local, regional and country laws concerning employment., • Follows all DeepHealth policies and procedures., • Follows data privacy, compliance, safety and confidentiality standards at all times., • Practices universal safety precautions., • Promotes good public relations on the phone and in person., • Adapts and is willing to learn new tasks, methods, and systems., • Reports to work regularly as scheduled; consistently punctual with respect to working hours, meal and rest breaks, and maintains satisfactory personal attendance in accordance with DeepHealth guidelines., • Completes job responsibilities in a quality and timely manner. Travel This position requires domestic / international travel up to 10%. Working Environment Remote Physical Demands This position often requires sitting, standing, walking, bending, twisting, reaching with hands and arms, using hands and fingers, handling, or feeling, speaking, listening, and high-level cognitive thinking. Also, must be able to lift up to 10 pounds occasionally. Work Authorization / Visa Sponsorship: DeepHealth does not provide immigration sponsorship for this position, including sponsorship for employment-based visas or other work authorization requiring employer sponsorship. Candidates must be legally authorized to work in the United States without current or future sponsorship from DeepHealth for the duration of employment.

Job Description At Zoox, you will collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing. You’ll master new technologies while working on code, algorithms, and research to impact key systems to move Zoox forward. Responsibilities • Lead the Sensor Change Playbook workflow, defining the validation process for our next-generation, low-cost vehicle platforms., • Partner with PCP V&V to define the Autonomy Technical Specification (ATS) by identifying "bounding" (worst-case) scenarios, particularly those related to winter driving (e.g., heavy snow, ice, sensor occlusion)., • Work with PCP model owners to architect low-cost stacks that reduce reliance on expensive sensors and accommodate reduced compute (e.g., migrating from 8 GPUs to 1 Thor)., • Drive the Clearance MoC (Method of Compliance) process for hardware changes, balancing cost, compute constraints, performance and safety.Qualifications, • Deep expertise in the PCP Stack, multi-modality fusion, and optimizing architectures for severely constrained compute budgets., • Experience in V&V (Validation & Verification) for safety-critical systems, specifically expanding into complex Operational Design Domains (ODDs) like winter weather., • Proven ability to influence cross-functional stakeholders (SDMA, AHE, PCP) to align on cost vs. performance trade-offs., • The ability or experience of managing or curating datasets for sensor validation or model trainingBonus Qualifications, • Experience with Autonomy Technical Specifications (ATS) and defining winter/adverse weather bounding scenarios., • Experience working with VLM’s.Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. About Us Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Embedded Systems Engineer In this role you will develop computing systems for humanoid robots. This may span compute platform design (ARM, SoC, microcontrollers), firmware and BSP bring-up, and kernel-level Linux work. Work will focus on a robot payload that intakes LiDAR, camera, IMU, and tactile sensor information and then outputs joint manipulation and locomotion commands that let the robot stand, move, and use its hands. You will partner closely with the ML team building the robot's software brain, ensuring the compute platform can run their perception and manipulation models with the latency and throughput they need. The system is designed to operate across a diversity of humanoid robot platforms, so your work will generalize across different hardware rather than target a single robot. You will collaborate closely with the mechanical, electrical, and ML teams to build tightly integrated, safety-conscious solutions ready for deployment in the field. What You Will Get To Do 1. Backpack Compute Platform Compute Platform Design: Design and select the embedded compute platforms (ARM, SoC, microcontrollers) that power the humanoid payload, balancing capabilities against SWaP constraints. Firmware & BSP Bring-Up: Write and customize bare-metal and RTOS firmware, board support packages (BSPs), and bootloaders for the humanoid payloads computing hardware. Kernel-Level Development: Work at the Linux kernel level to support real-time performance and reliable operation of the backpack's compute stack. Testing & Diagnostics: Conduct thermal profiling, power draw analysis, and latency measurement, and implement watchdogs and health checks for the compute stack. 1. Sensor & Actuator Drivers Perception & State Sensor Drivers: Adapt, integrate, and where needed develop drivers for cameras, LiDAR, and IMUs that feed the backpack's compute platform with real-time perception and state-estimation data. Motor, Joint & Tactile Drivers: Adapt, integrate, and where needed develop drivers for motors, joint actuators, and tactile sensors, supporting low-latency control and feedback for humanoid manipulation and locomotion. Communication & Timing: Bring up wired (Ethernet, CAN, GMSL, SPI, I2C) and wireless interfaces with deterministic timing (PTP, PPS) across the payload. 1. Manipulation & ML Integration ML Team Partnership: Partner closely with the ML team building the robot's software brain to ensure the compute platform meets their latency, memory, and throughput needs. Manipulation Data Pipeline: Build the data pipeline connecting camera, LiDAR, IMU, and tactile input to joint manipulation commands, from raw sensor capture through to actuator control. Edge ML Enablement: Support accelerated inference on the backpack so ML models can interpret sensor data and issue robot commands in real time. ROS/DDS Middleware: Expose driver and sensor data through ROS/ROS2 and DDS interfaces so the ML team's software brain can consume it in real time. 1. Cross-Platform Generalization & Collaboration Platform Abstraction: Design the backpack's compute and software architecture to generalize across a diversity of humanoid robot platforms. Cross-Team Collaboration: Work closely with mechanical, electrical, and sensor engineers to develop a tightly integrated backpack payload. Technical Leadership: Lead the technical direction of backpack compute development, from architecture decisions through implementation. Safety & E-Stops: Implement e-stop circuitry and safety monitoring on the backpack platform, laying the groundwork for functional safety as the fleet matures. What You Have Education: B.S., M.S., or Ph.D. in Computer Engineering, Electrical Engineering, Robotics, or a related field. Experience Level: Minimum of 3+ years of hands-on experience with embedded systems.. We welcome candidates across mid-level to senior and staff levels. Programming: Proficient in C++ and Python for embedded and application-level development. Embedded Systems Experience: Experience bringing up and customizing bare-metal and RTOS firmware, Linux kernel and device drivers, and board support packages (BSPs), across platforms such as Jetson or custom SBCs. Driver Development: Experience developing drivers for cameras, LiDAR, IMUs, tactile sensors, or motors, connecting sensors and actuators to embedded compute. ML/Edge Acceleration: Familiarity with GPU, TPU, or NPU offload and frameworks such as CUDA or TensorRT for edge inference, ideally supporting manipulation or perception models. Real-Time Communication Protocols: Hands-on experience with Ethernet, CAN/CAN-FD, SPI, I2C, UART, USB, or PCIe, wireless links, and timing protocols such as PTP. ROS & Middleware: Familiarity with ROS/ROS2 and DDS for exposing sensor and actuator interfaces to higher-level software. SWaP-Constrained Design: Experience designing compute hardware and firmware under tight size, weight, and power (SWaP) constraints, such as wearable or backpack-style payloads. What Will Set You Apart Humanoid Robotics Experience: Experience developing embedded systems, firmware, or drivers for humanoid or other legged robot platforms. Manipulation & Robot Control Knowledge: Familiarity with joint manipulation, motor control, and how sensor data flows into robot commands such as standing or grasping. Kernel-Level Development: Experience with Linux kernel modules, device driver development, kernel-level debugging, PREEMPT_RT, and deterministic, low-jitter timing in production systems. Safety-Critical Systems: Experience implementing e-stop circuitry, safety monitoring, or other safety-critical embedded systems for robots operating near people. Experience with functional safety standards such as ISO 13849 or ISO 10218 for robots operating in human environments. ML Collaboration: Experience working directly with ML or perception teams to meet model latency, memory, and throughput requirements on embedded hardware. Why Join Field AI? FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Are you looking for a new sales position with unlimited earning potential and that is in a flourishing industry? Or maybe you have been thinking about switching career paths and moving into sales? Looking for an opportunity where you can earn uncapped commissions while still having a base salary? Whether you have some sales experience or are new to sales, Hibu is here to set you up with best-in-class training so you can win and grow your career! Year 1 on target earnings around $100,000-$120,000 with ability to earn more through uncapped commissions and monthly bonuses. Year 2 on target earnings around $132,000-$152,000 with ability to earn more through uncapped commissions and monthly bonuses. Base Salary: $63,000 Why our people love working at Hibu (and why we have made Power Selling’s Top Companies to Sell for NINE years in a row!): • Base salary, expense allowance, mileage reimbursement, and uncapped earnings through commission and bonuses, • Hybrid sales environment (home office and in-field work), • Recognition and incentives including an annual President’s Club Trip, • Clear career path in both leadership and sales with high potential for promotions, • 3 weeks of classroom training followed by 9 weeks of field training while on the job and ongoing companywide support, • Best-in-class digital marketing offerings in partnership with Google, Amazon, Instagram, Meta, and Microsoft, • Community focused organization, • Flexibility and work-life balance By now, you are probably ready to apply immediately, but just in case you need 1 more reason to apply, check out this video from one of our sales reps on why Hibu is the right choice for you! What you will be responsible for as an Outside Sales Representative: • Selling Digital Marketing solutions through a partnership selling model, • Websites, Search Ads, Display Ads, Reviews & Reputation Management, Social Ads, and SEO, • Cold calling business owners and prospecting within a designated territory to set appointments and conduct strong needs assessments, • Grow your own book of business by helping small businesses succeed and earn residual commissions for retaining your clients through strong account management, • Perform virtual and in-person presentations to prospects, • Build strong client relationships working within a wide variety of industries, making each day different! Want to know more before going any further? Check out this short video of who we are, and we are sure you will want to explore further: https://video.hibu.com/watch/kKXY8EF3zFsuGsU36yzom7 Requirements to win as an Outside Sales Representative: • Grit and relentless perseverance, • Entrepreneurial spirit, • Problem solver and relationship builder, • Refuse to lose attitude every single day, • Quick-witted, adaptable, and strategic Our core values are something we live by every single day and what has helped to shape our business to become a leading provider of digital solutions along with a company people love working for. Check out this video to learn more about Hibu’s core values from our employees themselves: https://video.hibu.com/watch/NdGvcR4FEsay3CvC43fjyQ Working with us means joining a team of truly extraordinary people working to improve communities across the country. Joining our team means not only working in a fun environment with smart people, but also being able to take advantage of our competitive compensation, ongoing training, incentives, and generous benefits package. Learn more about the Hibu culture here: Culture at Hibu NOTE: Hibu is an Equal Opportunity Employer, and consistent with applicable law, provides reasonable accommodations for qualified individuals with disabilities and disabled veterans in completing our job application process. If you need reasonable accommodation and/or are having difficulty completing our online application process due to a disability please visit Hibu.com and look up application accomodations: Please include your name and contact information and the title of the position you are interested in. Note: this is not for general employment inquires or correspondence. Hibu will only respond to requests related to those who need assistance with the online application process due to a disability \nCompany Description Providing one-on-one service, expertise, and transparency, Hibu has simplified the digital marketing process, allowing clients to partner with a single marketing services provider to achieve their marketing goals — saving them time, frustration and money. Hibu is a Meta Marketing Partner, Google Premier Partner and Microsoft Advertising Select Partner. Providing one-on-one service, expertise, and transparency, Hibu has simplified the digital marketing process, allowing clients to partner with a single marketing services provider to achieve their marketing goals — saving them time, frustration and money. Hibu is a Meta Marketing Partner, Google Premier Partner and Microsoft Advertising Select Partner.

Job Description Iterative Health is a healthcare technology and services company powering the acceleration of clinical research to transform patient outcomes. We built a leading performance-driven network of 100+ sites across the US, Europe, India, and Australia, conducting research directly in the communities where care is delivered across gastrointestinal, hepatology, obesity, and cardiology. By combining deep clinical trial expertise with cutting-edge AI, we connect sponsors' scientific ambitions with high-performing research teams that expedite and expand access to novel therapeutics for patients in need. Today, Iterative Health is headquartered in Cambridge, Massachusetts, and New York City with 250+ employees world-wide. The Data Manager at Iterative Health will play a critical role in building and managing the data and dashboards that supports how we operate, make decisions, and scale the business. This role will ensure our data is accurate, accessible, secure, well-governed, and effectively managed across our growing technology ecosystem. Reporting to the Director of IT and working directly with Finance and other G&A leaders, the Data Manager will own and drive data management, governance, and quality practices across the organization. This includes establishing scalable standards and processes, improving data integrity across systems, supporting data integrations and migrations, and creating greater visibility into how data is captured, managed, and used across the business. This is an opportunity to build foundational data capabilities from the ground up, bring greater consistency and structure to our data environment, and help ensure Iterative Health has trusted data to support both day-to-day operations and long-term growth. Where You'll Drive Impact • Build, maintain, and improve dashboards, reports, and analytics tools in Amazon QuickSight, Metabase, PowerBI and other BI platforms using data stored across our AWS environment., • Partner with business teams to understand reporting and analytics needs, translate those needs into clear data requirements, and develop dashboards that make important business metrics easy to understand and act on., • Write and optimize SQL queries to analyze data, create reporting datasets, troubleshoot issues, and support scalable dashboarding and analytics., • Develop a strong understanding of our underlying data models and business processes to ensure dashboards and metrics accurately reflect how the organization operates., • Define and maintain consistent business metrics, calculations, data definitions, and reporting logic across dashboards and teams., • Validate dashboard outputs against source systems, identify data quality issues, and work with engineering, IT, and system owners to resolve discrepancies., • Design dashboards that are intuitive, performant, and useful to both operational teams and leadership., • Identify opportunities to automate recurring reporting and replace manual Excel- or spreadsheet-based processes with scalable dashboards and data products., • Partner with data and engineering teams to improve reporting datasets, data models, and pipelines as new analytics needs emerge., • Help establish standards and documentation for dashboards, metrics, data sources, and reporting logic so that analytics remain accurate and maintainable as Iterative Health grows., • Support ad hoc analysis and other data and reporting priorities across the organization as needed.What You'll Bring, • 4+ years of experience in business intelligence, analytics, data analysis, reporting, or a related field., • Strong communication skills and business sense. Able to communicate technical concepts to non-technical audiences with ease., • Strong SQL skills and experience querying relational databases and working with large datasets., • Experience building production dashboards and reports in BI tools such as Amazon QuickSight, Metabase, Tableau, Power BI, Looker, or similar platforms., • Experience translating business questions into metrics, analyses, datasets, and dashboards., • Strong understanding of data visualization and dashboard design, including how to present complex information clearly and effectively., • Ability to understand data models, relationships between datasets, and how data flows from source systems into reporting environments., • Strong analytical and problem-solving skills, including the ability to investigate unexpected results and identify the root cause of data discrepancies., • Strong attention to detail and a high level of ownership over the accuracy and reliability of reporting., • Ability to communicate technical and analytical concepts clearly to non-technical stakeholders., • Experience working cross-functionally with business, technology, and data teams., • Ability to manage multiple reporting and analytics priorities in a fast-moving environment., • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field preferred.Nice to Have, • Hands-on experience with Amazon QuickSight and/or Metabase., • Experience working with data and databases hosted in AWS., • Familiarity with AWS data services such as RDS, Redshift, Athena, S3, or related technologies., • Experience creating reporting-ready datasets or semantic layers for use across multiple dashboards., • Experience with data modeling, ETL/ELT pipelines, or modern data warehouses., • Experience working with healthcare, life sciences, clinical research, or other regulated data., • Experience building executive-level and operational dashboards used to manage business performance., • Experience automating reporting processes or migrating reporting from Excel and other manual workflows into BI platforms., • Familiarity with Python or other scripting languages for data analysis and automation What You Bring to the Team • Bachelor's degree in Information Systems, Computer Science, Data Management, Business Analytics, or a related field, or equivalent experience., • 5+ years of experience in data management, data governance, business systems, data operations, or a related field., • Experience developing and implementing data governance and data quality processes., • Strong understanding of data structures, data lifecycle management, data integration, and data architecture concepts., • Experience working across multiple business systems and understanding how data moves between systems., • Strong analytical and problem-solving skills with the ability to identify root causes and develop practical solutions., • Excellent communication and stakeholder management skills, with the ability to work effectively with both technical and non-technical audiences., • Strong organizational skills and attention to detail, particularly when managing complex datasets and cross-functional initiatives., • Experience with data management, reporting, BI, or data governance tools.Preferred Qualifications, • Experience in healthcare, clinical research, health technology, or another highly regulated environment., • Experience with HIPAA, SOC 2, or other data privacy and security frameworks., • Experience with enterprise applications such as HRIS, ERP, CRM, ATS, or clinical systems., • Experience with SQL, data visualization tools, or modern data platforms., • Experience supporting data migrations, system implementations, or M&A integrations., • Experience establishing data governance programs in a growing organization. How We Work • Collaborative and low-ego team environment, • High ownership and accountability culture, • Fast-paced and highly iterative growth environment, • Open communication and continuous learning mindset, • Mission-driven organization focused on improving patient outcomes, • Comfortable navigating evolving business priorities and opportunities Benefits That Support You We believe great teams do their best work when they feel supported — professionally and personally. • Hybrid work environment with in-office collaboration two days per week in either our NYC , Southlake or Boston office, • Comprehensive medical, dental, and vision coverage, with up to 80% of premiums covered by Iterative Health, • Mental health and wellness support through Spring Health, • Health HSA or FSA options, and commuter FSA contributions supported by Iterative Health, • Unlimited PTO, 12 company holidays, and a company-wide shutdown between Christmas and New Years, • 401(k) program with a company match of up to 3% (up to $3,000 annually), • Weekly in-office lunch benefit every Tuesday New York pay range $125,000—$160,000 USD At Iterative Health, we're actively working towards creating an environment that is representative of the diversity of patients our technology serves. We are focused on building an equitable and inclusive culture, and by extension, hiring process. If you require any accommodations to make the application process or interviewing experience more accessible to you, please contact CandidateAccommodations@iterative.health.

Job Description AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Senior Pre-Sales Engineer-Network, will be focused on the core tenets of Network and Network Security related solutions for AHEAD prospects and customers including a broad range of technologies. As a member of our Specialty Solutions Engineering team, you will be considered an organizational thought leader for this marketplace. Pre-sales experience is a key component of this role. You will work in partnership with multiple sales representatives to help build a cohesive account strategy for each existing and prospective client. As part of this strategy, you will help sales representatives identify potential technologies and vendors to partner within a given account and assist in driving this strategy throughout a given campaign. Time management and prioritization are essential attributes to being successful. Your goal is to evolve into the technical thought leader for each of your clients. In this capacity, you will work to define strategy, compare alternative approaches, and build key relationships, as well as size and configure products. Positioning and leveraging subject matter experts and inside consultants is a necessity to scale your effectiveness within accounts. AHEAD is actively recruiting for this role and is looking for candidates who consider themselves as a “Next Generation Network Architect.” A core tenet and base requirement for this position is deep understanding of Campus wired and wireless technologies. Understanding and mastery of other areas like Datacenter and cloud networking technologies are a plus. Outside of this core tenet, our expectation is to attract, recruit and attain resources who have a desire to focus not only on traditional on-premise solutions, but also to be looking to career, technology and skill advancement by being actively willing to demonstrate skills and ability to learn new technologies including multiple SDN solutions, network security, load balancing, edge / acceleration, and cloud technologies. Experience or eagerness to learn about and with network and system / access design with Amazon AWS, Microsoft Azure or other cloud services is a key requirement. Roles & Responsibilities: • Participation, Leadership and Coordination of the AHEAD virtual team for Network Infrastructure, • You will also be responsible for working with the AHEAD partner management team and directly with selected vendors to maintain vendor technical and sales relationships, • As a Network Specialist you are a thought leader within the Engineering organization, responsible for designing, architecting, and, at times, consulting for Ahead clients, • Your goal as a Network Lead should be to build skills, relationships, and industry credibility across many segments to drive product, services and consulting sales, • Support the sales teams during engagements by providing advice and solutions or proposals optimized to meet customer technical and business requirements, • Develops relationships with the account managers, partners and customers in support of sales team objectives and engages and leverages team specialist resources as appropriate, • Strategizes and executes technical sales calls, • Completes required pre-sales documentation (configurations, pricing, services, presentations, justifications etc.) quickly and accurately, • Qualifies sales opportunities in terms of customer technical requirements, decision making process and funding, • Presents and markets the design and value of proposed Ahead solutions and business justification to customers, prospects and Ahead management, • Participates in mentorship of entry-level team members, • Possesses strong, detailed product / technology / industry knowledge. Knowledge of job associated software and applications Base Skills:, • Network Infrastructure Experience, • Strong wireless skills (certifications highly looked upon), • Wireless principles/site survey/Ekahau knowledge), • Strong Campus/LAN skills (Cisco and other OEM vendors), • Cisco certifications are highly recommended, • Cisco Nexus Technologies, • IP Routing Protocols, • Cisco Core Datacenter Technologies, • Network Management, • Network Security (Palo Alto/Fortinet) tenants along with SASE knowledgeOther Skills:, • VMware / VMware NSX, • Arista, • Automation skillset, • F5 / NetScaler, • Amazon AWS, Azure, Cloud connectivity and network fundamentals Education & Experience:, • Bachelor’s degree in computer science, Engineering, or equivalent, • Pre Sales and Data Center experience is required, • Professional communication, presentation, analytical, and problem-solving skills., • Experience working as a technical lead in a pre-sale’s sales campaign, • Ability to work under critical conditions and influence others to achieve results, • Strong interpersonal skills with excellent presentation skills, • Must be independent, self-motivated, a self-starter and possess a good working attitude, • Able to work well within a team and partner environment, • Customer focused and results driven The compensation range indicated in this posting reflects the On-Target Earnings (“OTE”) for this role, which includes a base salary and any applicable target bonus amount. This OTE range may vary based on the candidate’s relevant experience, qualifications, and geographic location. Why AHEAD: Through our daily work and internal groups like Moving Women AHEAD and RISE AHEAD, we value and benefit from diversity of people, ideas, experience, and everything in between. We fuel growth by stacking our office with top-notch technologies in a multi-million-dollar lab, by encouraging cross department training and development, sponsoring certifications and credentials for continued learning. USA Employment Benefits include: - Medical, Dental, and Vision Insurance - 401(k) - Paid company holidays - Paid time off - Paid parental and caregiver leave - Plus more! See benefits https://www.aheadbenefits.com/ for additional details. Use of AI: We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, assessing responses, or to capture recordings and create transcriptions or summaries during interviews. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please refer to the Candidate Privacy Notice or contact us at privacy@ahead.com. You may opt-out of the review or analysis of your application and resume by AI tools by using the General Application. Please include the role you wish to apply for in the Additional Information field. You may also choose to opt-out of recording and transcription at any time, including after joining an interview. Candidates will not be penalized for choosing to opt-out. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description The Perception team at Zoox is responsible for how our purpose-built robotaxi understands the world, including what happens inside the cabin. In this role, you will design, train, and evaluate vision-based in-cabin perception models that understand passengers, objects, and behaviors inside the vehicle. These models support rider safety and the operations that keep each ride running smoothly. You will independently own a model area end to end, from data curation and training through evaluation and deployment under real-time and compute constraints, working closely with partners across the company. Your work has a direct impact on rider safety and experience as Zoox scales its robotaxi service. In this role, you will... Design, train, and evaluate vision models that understand passengers, objects, and behaviors inside the vehicle, across detection, pose, and action recognition. Independently own a model or feature area end to end: curate data, define labeling guidelines, train and evaluate models, and take them through deployment. Set the quality bar for the models you own, using rigorous evaluation and error analysis so they are reliable enough to support live operations. Deploy models under real-time and compute constraints shared with the rest of the onboard perception system. Partner across product, operations, safety, and vehicle software to turn requirements into model specifications, metrics, and validation plans. Qualifications MS or PhD in Computer Science, Machine Learning, Computer Vision, or a related field with 6+ years of industry experience (PhD with 3+ years). Deep expertise in computer vision and deep learning for image and video understanding: object detection, pose and action recognition, and fine-grained classification, with hands-on experience with modern architectures (convolutional and vision-transformer detectors, and self-supervised or foundation-model backbones such as DINOv3). Strong proficiency in Python and PyTorch for model design, training, and evaluation. Experience with vision-language models or foundation-model backbones, and with auto-labeling or synthetic data for long-tail and rare classes. Track record of owning the full ML lifecycle on real-world data: dataset curation and labeling guidelines, training, metric design (precision, recall, and false-positive rate at an operating point), and error analysis. Bonus Qualifications Experience with in-cabin or occupant monitoring (occupant or driver monitoring systems), ideally including multi-camera or fisheye imagery and low-light conditions. Experience deploying deep learning models to real-time, resource-constrained systems (robotics, automotive, or edge devices) with TensorRT / ONNX or similar. Proficiency in C++ for model integration. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Primary Responsibilities • Design, build, and support Continuous Integration/Continuous Delivery (CI/CD) automation pipelines using secure code practices., • Work well with Architects, Lead Engineers, Product Owners and Product Managers to craft the right DevSecOps solutions to deliver business applications in the cloud., • Seek out opportunities to develop and improve the existing automation pipelines and processes., • Automate the secure provisioning, setup, maintenance of environments including servers, resources, and databases in the cloud (AWS) as well as on-prem across Dev/Test/Production environments., • Participate in Kanban/Scrum based Agile teams focused on business unit success. The Expertise and Skills You Bring, • A minimum of 10 years of experience in a Software Engineering function with at least 5 of those in a hands-on DevOps role., • Strong experience working with modern infrastructure technologies such as containerization, Automation, and build pipelines in Amazon AWS and/or Microsoft Azure, • Strong experience with Continuous Integration and Continuous Delivery using tools like Concourse, GIT, Jenkins, Artifactory, Veracode, and uDeploy., • Experience with automated application build and support using Maven/Gradle/Ant or other tools., • Knowledge of configuration management and infrastructure management systems like Ansible, Chef, Docker, Kubernetes, CloudFormation, EKS., • Experience with supervising systems such as CloudWatch, Datadog/Splunk, ELK stack, • Good knowledge of open source platforms (Apache, Tomcat, NodeJS etc.), • Basic understanding of design and development of modern service based applications with Front-end (Angular, React, HTML, JavaScript, CSS) and RESTful Back end (NodeJS, Java 8 , Spring), • Experience with Automation including Unit, and Integration Testing, • Design, implement, customize, deploy and maintain CICD pipelines and configuration management., • Migrating on-premises applications to public cloud platforms like AWS, AZURE, GCP, Openstack. And evaluating new tools to improve build and release processes., • Working with AWS services like EC2, S3, RDS, Lambda, Athena, • Writing Cloud Formation Templates, Terraform, Ansible modules., • Using python/boto/any languages for implementing AWS solutions, • Supervise the health of production and test environments, experience with SRE, Observability, monitoring., • Troubleshoot and debug build Issues, with a willingness to resolve problems., • Collect and report on operational metrics for SLA reporting and capacity planning., • Strong grasp of Unix-based operating processing systems (Linux)., • Bachelor's degree in a technical field such as computer science/engineering or related field, • AWS certification (Solution Architect/DevOps) required., • Experience of working within an Agile environment

Job Description FieldAI is transforming how robots interact with the real world. Our growing R&D team is based in Boston, where we develop risk-aware, reliable, field-ready AI systems that tackle the hardest problems in robotics and unlock the potential of embodied intelligence. We take a pragmatic approach that goes beyond off-the-shelf, purely data-driven methods or transformer-only architectures, combining cutting-edge research with real-world deployment. Our solutions are already deployed globally, and we continuously improve model performance through rapid iteration driven by real field use. We are offering a Fall 2026 internship focused on humanoid manipulation for PhD students interested in advancing embodied intelligence on humanoids. As a research intern, you will work at the intersection of robotics research and applied engineering, contributing to manipulation capabilities that directly support FieldAI’s autonomy and robot learning efforts while advancing the field of robotics through academic research with the goal of publishing a paper to a leading journal or conference. What You Will Get To Do Advance Humanoid Manipulation Research • Design, implement, and evaluate manipulation strategies for humanoid robots across diverse tasks., • Explore loco-manipulation problems that integrate perception, planning, and control., • Work towards super-human dexterity, developing systems that outperform human teleoperation.Contribute to the Research Community, • Work towards publishing a paper in a leading robotics conference/journal, • Work closely with other researchers, both internal and external., • Present your work at Field at robotic conferencesContribute to Robotics Foundation Model Development, • Support data collection pipelines used to train robotics foundation models., • Work with embodiment-agnostic representations to enable transfer across robot platforms., • Collaborate with researchers to integrate manipulation data into scalable learning frameworks.Collaborate Across Disciplines, • Work with teleoperators and field teams to refine interfaces and improve manipulation outcomes., • Partner closely with researchers and engineers to align experiments with broader autonomy goals., • Engage with mechanical and electrical engineers on hardware integration and system bring-up.What You Have, • Current PhD student in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, AI/ML, or a closely related field., • Research experience in robotic manipulation, loco-manipulation, or related robotics domains., • Strong foundation in robot kinematics, dynamics, and control., • Proficiency in Python and/or C++, with experience using robotics or ML tooling., • Experience designing experiments and evaluating results on robotic systems (simulation or hardware)., • Curiosity, initiative, and a strong interest in embodied intelligence and real-world robotics., • Publications in leading robotics journals/conferences (ICRA, IROS, CORL, RA-L, T-RO, etc.)The Extras That Set You Apart, • Prior experience working with humanoid robots or dexterous robotic hands., • Background in learning-based manipulation, including imitation learning or reinforcement learning., • Hands-on experience running experiments on real robot hardware., • Familiarity with ROS or ROS 2., • Publications, preprints, or open-source contributions in robotics or AI., • Interest in bridging cutting-edge research with practical, field-ready robotic systems.Why Join Field AI? FieldAI is tackling one of robotics’ hardest problems: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models™ advance perception, planning, localization, and manipulation with an emphasis on explainability and safety, so our systems can be trusted where it matters most. You will work alongside a world-class team that values creativity, resilience, and bold thinking. We bring a decade-long track record of real-world deployments, strong performance in DARPA challenges, and experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX. Our R&D organization is growing and anchored in Boston, with close collaboration across our teams in Southern California and with colleagues around the US and globally. Be Part of the Next Robotics Revolution Solving problems at this scale takes a team as unique as the mission. We are looking for people who push beyond conventional approaches, enjoy tackling tough and ambiguous questions, and bring interdisciplinary perspective. Our success depends on exceptional AI researchers and engineers, as well as strong software developers, product designers, field deployment experts, and communicators who can turn breakthroughs into real capability. We are headquartered in Irvine, Southern California, with teammates across the US and around the world. Join us to shape the future of embodied intelligence as part of a fun, close-knit team building systems that work in the real world. Equal Opportunity FieldAI celebrates diversity and is committed to creating an inclusive environment for all employees. Candidates and employees are evaluated based on merit, qualifications, and performance. We do not discriminate on the basis of race, color, religion, sex, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Cloud Systems Architect Employment Type: Full-Time, Mid-level Department: Information Technology We are seeking a Cloud Systems Architect with experience with cloud infrastructure to engineer and support public, private and hybrid clouds. The ideal candidate will be proficient in a variety of cloud hosts including Amazon Web Services and Microsoft Azure at a minimum. CGS brings motivated, highly skilled, and creative people together to solve the government’s most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: - The candidate will be knowledgeable of the most recent updates and developments and act as an advisor to our customer in reference to the cloud management strategies to be employed to take advantage of the benefits offered by cloud computing such as being able to function without any restrictions to the workload, initiate as many workstations as necessary per time period and pay only for what they actually use. - The candidate will also work with the IT Security team to manage and maintain cloud systems security of the data and network resources. - The candidate will also be responsible for engineering on customer premise applications and systems interconnected to cloud resources. - Designs and defines system architecture for new or existing complex computer systems. - Determines systems specifications, input/output processes, and working parameters for hardware/software compatibility and maintenance of system security. - Coordinates design of subsystems and integration of total system. Identifies, analyzes, and resolves program support deficiencies. - Develops and recommends corrective actions. - May provide technical guidance for database administrators and software developers. Qualifications: - Experience with and a complete understanding of the technology required for cloud computing. - Experience with the skills to migrate applications to the cloud. - Be able to build relationships between the customers and the team members. - The ability and the knowledge to integrate services and tools to any and all areas to be used such as networks and data processing. - The ability and the knowledge to implement security information and event management to keep the customer's assets safe. - Experience with meeting or exceeding the requirements of cloud provider service-level agreements Experience with AWS and Azure. - Knowledge of a multitude of programming languages including Python, PHP, Java, Node and Ruby on Rails. - Typically a Bachelor's Degree and 6 years work experience or equivalent experience. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client’s specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we’ve been growing our government-contracting portfolio, and along the way, we’ve created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package. - Health, Dental, and Vision - Life Insurance - 401k - Flexible Spending Account (Health, Dependent Care, and Commuter) - Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: https://cgsfederal.com/join-our-team/ For more information about CGS please visit: https://www.cgsfederal.com or contact: Email: info@cgsfederal.com #CJ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description We are seeking a Senior Data Scientist to join our Perception Verification and Validation team. The team is responsible for verifying and validating the perception stack of our autonomous driving system by building the metrics, datasets, and analyses that tell us how perception performance translates into driving behavior. As a senior member of the team, you will own the evaluation strategy for major perception capabilities from start to finish, partnering with perception and ML engineers, systems and safety engineers, and autonomy leadership to decide what to measure, how to measure it with statistical rigor, and what the results mean for release decisions. Your work will directly shape how Zoox safely and efficiently ships perception improvements to our fleet, connecting model-level performance to end-to-end system behavior. You will also help raise the bar for the team by mentoring other data scientists and setting technical direction for how we validate perception. In this role, you will... Lead the design of metrics and evaluation frameworks for new perception capabilities, partnering with perception engineers early in model development to define what "ready to ship" means and how it connects to end-to-end driving behavior. Drive cross-team validation projects, bringing together perception, systems, safety, and autonomy stakeholders to build consensus on metrics, evaluation datasets, and release criteria. Develop rigorous statistical methods for uncertainty quantification, error estimation, and error propagation (frequentist, bootstrap, and Bayesian) so teams know when changes in performance are real. Build evaluation datasets and analyze large-scale, highly geospatial fleet and simulation data to uncover perception failure modes, then turn findings into clear recommendations for engineering and executive leadership. Mentor and guide a small group of data scientists by defining tasks, reviewing their work, and raising the team's technical bar. Requirements: Master's degree with 7+ years of experience, or PhD with 3+ years of experience, in data science, applied science, or a related quantitative role (Statistics, Mathematics, Computer Science, or a related field). Expert proficiency with SQL and/or Spark (PySpark or Scala) and Python, with a track record of building production-quality analyses and pipelines on large-scale (terabyte+) distributed data. Deep expertise in statistical modeling, inference, and decision making, including uncertainty quantification, and a history of connecting point and uncertainty estimates to high-stakes decisions. Experience designing metrics and validating ML models, such as computer vision, sensor-based, or perception models, including discovering and measuring failure modes. Demonstrated track record of leading technical projects across teams, mentoring other data scientists or engineers, and presenting results and recommendations to senior leadership. Bonus Qualifications: Experience with autonomous driving, robotics, or other safety-critical systems, including system-level verification and validation or simulation. Experience analyzing geospatial data and/or working with embeddings (e.g., similarity search, representation learning). Skilled at using AI tools to improve development efficiency and quality. Compensation: There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Job Title: Application & AI Integration Engineer Department: Digital Development Supervisor: Senior Director, Digital Development & Innovation Job Classification: Full Time Job Type: Exempt Summary: The Application & AI Integration Engineer will be responsible for building full-stack web applications, backend infrastructure and best-in-class, custom AI services for use within the organization. This role will be focused on building user-facing systems that include custom, tailor-built AI tools, skills, MCP servers and seamless integrations between our internal backend systems and third-party enterprise tools. The ideal candidate is a forward-thinking engineer with a strong, foundational understanding of modern web application concepts and a deep understanding of large language models. This person will be responsible for connecting with other departments within the company to understand the various needs and areas of opportunity across the organization. This candidate should understand the unique security requirements of the tools they are building, as they will play a pivotal role in connecting our users with the right data at the right time while ensuring that our ecosystem and first-party data is handled responsibly. Responsibilities: • Design, build, and maintain robust web applications from the ground up to support internal business data needs and external, fan-facing engagement platforms., • Build and deploy AI-powered tools and services, including access-scoped knowledge bases and MCP servers to facilitate communication between AI models and our backend architecture, • Architect, optimize and audit secure cloud-based relational databases to effectively store and manage data, • Work closely with departments across the organization to turn complex business needs into intelligent and functional AI-augmented applications that meet the various needs of disparate groups, • Implement industry-standard security best practices at every layer of the development stack to ensure sensitive data is always protected while remaining accessible for use, • Comfortably navigate command line interfaces to help manage various operating system environments to support continuous integration and deployment pipelines. Qualifications: • Bachelor’s degree in computer science, information systems, or similar field, • Proven experience building enterprise-grade web applications, AI tools and skills, and MCP servers, • Experience with cloud-based platforms such as Amazon Web Services, • Strong, production-level proficiency in Laravel/PHP, HTML, CSS, JavaScript, TypeScript and Node, • Familiarity with APIs, data ingestion patterns, and data integration techniques, • Experience balancing large language model efficiency with token usage restrictions, • Exceptional attention to detail, • Strong problem-solving skills and ability to debug complex problems, • Deep understanding of relational databases and ORM schemas (Eloquent and PostgreSQL experience is a plus), • Proven ability to collaborate cross-functionally, • Self-starter who thrives in a fast-paced environment, • High comfort level working in the command line and administering Linux-based systems, • Demonstrated experience building web applications with strict security and data privacy practices in mind, • Ability to work flexible hours, including evening, weekends, and holidays, as needed The expected range of annual salary/hourly rate and potential commission, if applicable, is included below. Where an employee or prospective employee is paid within this/these range(s) will depend on, among other factors, actual ranges for current/former employees in the subject position, market and industry considerations, budgetary considerations, tenure, performance, and standing with the company (applicable to current employees), as well as the employee’s/applicant’s background, pertinent experience, and qualifications. Annual Salary Range: $95,000.00 - $125,000.00 Banner Seventeen, LLC is an Equal Employment Opportunity Employer. All employees and applicants for employment are afforded equal opportunity in every area of hiring and employment without regard to race, color, religion, creed, sex, pregnancy (and pregnancy related conditions), gender identity or expression, citizenship status, national origin, ancestry, sexual orientation, age, physical or mental disability, genetic disposition or carrier status, marital status, familial status, status as a victim of domestic violence, military or veteran status, or any other category protected under applicable federal, state, or local law. About Company: Throughout the Boston Celtics’ storied history, they have long stood for equality and respect, including drafting the first African American player, hiring the first African American coach, and playing the first all-black starting five. The Celtics have won a record 18 NBA Championships spanning six decades, including eight in a row from 1959-1966, and winning their most recent in 2024. In addition, 52 former Celtics players, management, coaches, or staff have been inducted into the Naismith Memorial Basketball Hall of Fame. The team has been operating under local ownership since 2002.

Job DescriptionAbout the Role Position: Deputy Assistant Chief Information Officer (DACIO) • The Executive Office of Health and Human Services (EOHHS) is seeking to hire an experienced Deputy Assistant Chief Information Officer (DACIO) to develop and manage the Department of Public Health Hospital System (DPHHS)and the Department of Mental Health’s (DMH) Clinical applications and data service offerings., • The Department of Mental Health (DMH), as the State Mental Health Authority, assures and provides access to services and supports to meet the mental health needs of individuals of all ages; enabling them to live, work and participate in their communities. The Bureau of Hospitals is a system of 4 multi-specialty hospitals and the State Office of Pharmacy Services (SOPS). Together, we maintain, protect, and improve the health and well-being of citizens of the Commonwealth., • The DMH/DPHHS DACIO will oversee development and maintenance efforts of Meditech, Meta Enterprise and other clinical applications. The DACIO will manage the Clinical Teams, while performing managerial and administrative guidance to other workgroups. The DACIO will also coordinate the work between IT Business Solution Teams to ensure timely and error free operation and support of all systems within the purview of the DMH and DPHH Facilities organization. The ideal candidate will seek to understand agency goals, challenges and opportunities to align IT systems accordingly. Modern management, planning, strategic forecasting, and the ability to work independently with minimal guidance, are hallmarks of this role., • The primary work location for this role will be at 40 Broad Street Boston, Massachusetts. The work schedule for this position is Monday thru Friday, 8:00AM to 4:00PM. This position would be expected to follow a hybrid model of reporting to work that combines in-office workdays and work from home days as needed. The analyst is expected to occasionally travel to Regional MA offices. Responsibilities: • Manage and establish processes, procedures and value delivery methodologies that result in robust, scalable, secure and cost-effective technology solutions for the Agencies, • Oversee Agency initiatives that have a clinical impact and partner with other Commonwealth technology services agencies such as Executive Office of Technology and Security Service (EOTSS) and EOHHS IT, • Recommend programs and applications while supporting full Systems Development Life cycle: Requirement Definition, Analysis, Design, Development, Testing and Conversion, • Analyze deliverables such as requirement documents, detailed design documents and use cases for thoroughness and detail, • Partner with DACIO for IT Business Solutions, as well as other EOHHS departments or Agencies, • Establish and maintain performance metrics for all associated services; Manage quality control and auditing processes, • Assist in determining staffing needs and proper allocation of staff to work functions, • Maintain departmental strategic plans, knowledge base, error correction strategies and tactical processes through batch log review, consultation with end users and programming and other technical staff, • Serve as liaison between users, developers, operations management, project manager and agency personnel to establish or adjust production priorities, • Analyze requests for new or enhanced systems by reviewing documentation and consulting with end users and technical personnel to assess user needs to determine feasibility of automating solutions to user issues, • Review changes in State and Federal regulations to determine the impact on existing systems and recommend system modifications to accommodate these changes, • Participate in overarching team goals and initiatives, offering innovative, constructive ideas to further the departments’ success and growth Preferred Qualifications: • Minimum 5-10 years of IT related experience with project management, development, operations, hardware and infrastructure preferably in a large, complex IT healthcare environment., • At least 3-5 years of leadership and supervisory experience with managing technical teams and the ability to complete the following tasks: performance appraisal, employee coaching, training, development, and performance management., • Strong knowledge and hands-on experience with change management and process improvement methodologies., • Extensive knowledge and hands on experience supporting and/or implementing electronic health records., • Hands on experience renovating and/or relocating a hospital a plus, • Experience with Cerner/Oracle Health and Meditech Client/Server required., • Strong knowledge and hands-on experience with Health Information Exchanges (HIE), • Strong knowledge and hands-on experience working with cloud-based computing platforms such as Amazon AWS and Microsoft Azure., • Extensive involvement with application development, information analysis and reporting, database architecture and state-of-the art information technology., • Demonstrated skills in the identification of business practice improvements and the application of technology to optimize business processes., • Dynamic interpersonal skills and the ability to effectively communicate and influence agency leaders and stakeholders, facilitating an understanding of security risks as they pertain to operational strategy and practices., • Strong critical thinking, problem solving, and cross group collaboration skills; adept at managing relationships both internally and externally., • Proficiency with Office 365 including Microsoft Teams., • Experience implementing Agile processes in a development environment a plus