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Sr. Distinguished AI Engineer At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. Team Description: The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. In this role, you will: * Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. The Ideal Candidate: * You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good. * Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production. * You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven. * You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enable you to see and exploit optimization opportunities that others miss. * You are a resilient trail blazer who can forge new paths to achieve business goals when the route is unknown. Basic Qualifications: * Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 10 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies * At least 10 years of experience programming with Python, Go, Scala, or Java Preferred Qualifications: * 9 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * Experience architecting, designing, developing, integrating, delivering, and supporting complex enterprise AI systems * Demonstrated ability to lead and mentor an engineering organization and influence cross-functional stakeholders up to the SVP level * Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang * Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Experience building and deploying multi-modal models for technologies like computer vision, speech recognition, optical character recognition, or other sensor systems in application such as robotics, digital assistants, industrial automation, autonomous driving, or related Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $314,800 - $359,300 for Sr. Distinguished AI Engineer Richmond, VA: $286,200 - $326,700 for Sr. Distinguished AI Engineer New York, NY: $343,400 - $392,000 for Sr. Distinguished AI Engineer Cambridge, MA: $314,800 - $359,300 for Sr. Distinguished AI Engineer San Francisco, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer San Jose, CA: $343,400 - $392,000 for Sr. Distinguished AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Scale is a vital part of bringing AI-enabled technologies to the world, from autonomous driving to drones, robots, and large language models. For example, Scale works with the world's top self-driving car and robotics ML teams as well as the largest companies in the generative AI space. As our customer base is growing, you will be on the front lines of our field engineering efforts for our federal AI projects, having the opportunity to meaningfully impact millions of dollars in revenue by working closely with our largest public sector customers and ensuring that they become passionate, lifelong Scale customers. Our Field Engineers ensure customers' experiences with Scale's technology are seamless and optimized to build a successful, long-term partnership. Field Engineers partner closely with Product, Engineering, and Operations to lead existing customers through building production-grade data pipelines. We do this by knowing our customer's use-cases inside and out, and creating the tooling and documentation needed to scalably support their growth. Field Engineers in general are experts on Scale's products and codebase, and have general technical knowledge on web development, using APIs, and working with large volumes of data. Field Engineers are strong relationship builders, great project managers, and always fun to work with. The ideal person is a software engineer generalist who enjoys working with clients directly, taking ambiguous requirements and issues, and quickly designing and building sustainable solutions in close collaboration with the Product and Engineering teams. This role is at the intersection of customer delivery, product, and engineering, giving you a breadth of experience and fully leveraging both sides of your brain. If this sounds like you, we invite you to apply! You will: • Implement end-to-end data integrations, syncing customer's data to Scale's platform and back, • Work closely with our customer's engineering teams to optimize data pipelines, including providing input towards designing API endpoints and input/output schemas, • Design, develop and maintain playbooks, internal tools, Scale's documentation and SDKs to quickly get customers set up for long-term success, • Partner with Software Engineers and Operations to remove any technical hurdles customers may face / Debug technical issues impacting delivery and own technical escalations coming from the customer, • Be accountable for the customer's technical experience throughout their time with Scale, • Work with AEs and PMs to identify customer-specific feature requests, • Develop technical domain expertise in areas of Large Language Models, 2D Image Annotation, and working with API integrations, • Evangelize Scale and interact with customers at major events, • Have an active TS/SCI clearance Ideally you'd have: • Track record of success as a hybrid customer-facing engineer or similar function, wearing multiple hats along the way, • Prior technical hands-on experience working with clients in a pre or post-sales capacity to realize business goals, • Prior experience developing with Python and JavaScript, or other modern software languages, • Strong engineering background preferably in Computer Science, Mathematics, or other quantitative fields, • Strong project management and interpersonal skills, • Presentation skills with a high degree of technical credibility when speaking with executives and front-line engineers, • High level of comfort communicating effectively across internal and external organizations, • Intellectual curiosity, empathy, and ability to operate with high velocity Nice to haves: • Experience in AI, • Experience working in classified environments, • Previous experience as a technical go-to-market resource, • Understanding of DevSecOps principles, including secure software delivery, infrastructure as code, and continuous integration/deployment, • Hands-on knowledge of container orchestration with Kubernetes and experience with Helm charts for application deployment, • Experience automating infrastructure and configuration management using Ansible or similar tools Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You'll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:$190,000—$290,000 USDThe base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:$170,000—$260,000 USDThe base salary range for this full-time position in the location of St. Louis is:$140,000—$220,000 USD PLEASE NOTE:Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants. About Us: At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at . Please see the United States Department of Labor's ___ for additional information. We comply with the United States Department of Labor's ___. PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants' needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our ___ for additional information.

Practical experience applying machine learning with deep learning frameworks, such as PyTorch, to solve real-world problems Proficiency in Python and comfort with at least one systems language (e. We’re looking for a highly motivated engineer with experience deploying machine learning algorithms t

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Software Engineer working on platform, you'll design and build the internal backbone that makes Radical AI run: the services, frameworks, deployment primitives, developer workflows, and reliability systems that allow product engineers, scientists, and ML teams to ship faster - without breaking things. This is not a "tickets and toil" DevOps role. We're looking for a strong backend engineer who's spent years building real systems, and now wants to own the platform that makes every team faster.Mission • Build and operate core platform services that power production systems, • Design internal APIs, service patterns, and shared libraries that enable teams to ship quickly and safely, • Own reliability in real-world environments: deployments, failures, observability, incident response, and debugging, • Improve our developer experience: CI/CD, testing workflows, environment management, and self-serve tooling, • Aid in production hardening: rollout strategies, safe migrations, incident playbooks, reliability testing, • Service orchestration primitives: queues, schedulers, retries, idempotency, cancellations, and long-running workflows, • Partner closely with backend, ML, robotics, and science teams to turn platform needs into clean abstractionsAbout you, • 5+ years of experience building backend systems in production environments., • Strong software engineering fundamentals (design, implementation, testing, reliability)., • Fluency in at least one backend language: e.g., Python, Go, Rust, TypeScript, etc., • Experience with Infrastructure-as-Code (IaC) tools such as Terraform or CloudFormation., • Comfort operating services in the real world: on-call, debugging, performance bottlenecks, failure modes., • Experience with CI/CD tools (e.g., GitHub Actions, Jenkins, CircleCI) and integrating security checks within them., • Ability to build clean abstractions that other engineers actually want to use., • Solid understanding of Linux/Unix systems administration., • Experience with monitoring, logging, and tracing tools (Datadog, Prometheus, Grafana, Splunk, ELK, etc.)., • Understanding of network security concepts (e.g., firewalls, VPNs, network segmentation, Tailscale)., • Strong ownership and bias toward action: you find the sharp edges and sand them down.Pluses, • Exposure to machine learning lifecycles or MLOps concepts., • Experience with distributed systems (queues, schedulers, event-driven architectures, consistency tradeoffs)., • Background in scientific computing, robotics, or automation-heavy environments., • Solid understanding of security principles, practices, and common security tools (e.g., vulnerability scanners, intrusion detection systems)., • Experience with security and compliance software (e.g., Drata, Apptega).What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family covered at 100%, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job DescriptionAbout Us: Voyant Photonics, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting edge research in silicon photonics. The Opportunity: We are seeking a Senior Electrical Test Engineer to lead the electrical characterization, validation, and production test development for Voyant’s LiDAR modules. This role bridges analog design and test engineering, requiring a strong foundation in schematics, PCB layout, and analog/mixed-signal design. You’ll own the electrical test infrastructure from early prototype validation to production bring-up, ensuring each LiDAR module meets performance, reliability, and manufacturability targets. The role is deeply cross-functional, collaborating with Electrical Design, Photonics, Firmware, and Manufacturing partners to drive end-to-end electrical integrity across the product life cycle. Key Responsibilities: * Develop and execute electrical test plans for LiDAR modules and subassemblies (silicon photonics components, AFEs, ADCs, TIAs, power rails, timing, and system interfaces). * Design and build test fixtures and PCBAs to support bench and production test (signal integrity, noise, calibration, and functional testing). * Analyze and debug analog/mixed-signal circuits, including current drivers, amplifiers, ADC front ends, and power conditioning networks. * Define test coverage and validation criteria for electrical subsystems across temperature, vibration, and power conditions. * Collaborate with design engineers to translate schematic and layout intent into robust, testable hardware. * Drive noise characterization and signal integrity improvement, including grounding, shielding, and analog isolation strategies. * Develop automated test scripts and data collection pipelines (Python preferred) to ensure repeatability and yield traceability. * Work with vendors and CMs to bring up test stations, validate instrumentation, and qualify electrical boards for production. * Lead failure analysis and root-cause investigations, closing the loop between design, test, and manufacturing. * Maintain calibration, documentation, and data integrity for all electrical test infrastructure. * Up to 30% travel to supplier sites, contract manufacturers, or partner facilities. Qualifications: * Bachelor’s or Master’s in Electrical Engineering or related discipline. * 5+ years of experience in hardware validation, test, or electrical design for complex systems (LiDAR, imaging, radar, sensors, or instrumentation). * Proficiency in schematic design and PCB layout review (Altium or similar). * Strong foundation in analog design, AFE development, ADC/DAC interfaces, and low-noise/high-speed circuit techniques. * Experience with test instrumentation (oscilloscopes, SMUs, AWGs, DAQs, network analyzers) and automated control via Python or LabVIEW. * Demonstrated ability to debug at the board and system level — probing, reworking, and iterating on test hardware. * Familiarity with statistical process control, yield tracking, and test data analysis. * Experience interfacing with vendors, CMs, and test equipment suppliers to stand up production test lines. Preferred Qualifications: * Background in FMCW LiDAR, coherent sensing, or other precision analog front ends. * Experience with power distribution design, transient suppression, and EMI mitigation. * Exposure to photonic systems, optical receivers, or mixed photonic/electrical integration. * Experience with manufacturing analytics, MES systems, or factory test automation. Benefits Package: * Competitive base salary and a meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job Description About Voyant Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. The Opportunity Voyant Photonics is seeking a Senior Manufacturing Production Test Engineer to join our Manufacturing Operations team and lead component- through module-level, in-line and End-of-Line (EOL) production test systems at contract manufacturers (CMs). This role partners closely with the Electrical Engineering, Mechanical, Systems, Photonics, and SW/FW teams, as well as contract manufacturers (CMs), to translate bench- and lab-level validation methods into robust, production-ready tests and fully high-throughput test systems spanning wafer, die, subassembly, and final module stages. You will own the deployment, validation, and continuous improvement of in-line test processes, ensuring consistent yield, reliability, and data integrity across all manufacturing stages. Key Responsibilities * Partner with Electrical, and Module Test Engineering teams to translate lab-level methods into robust, repeatable CM production tests * Own the deployment, validation, and sustainment of in-line test systems spanning wafer, die, laser, subassembly, and final module stages * Lead test industrialization for photonics, lasers, PCBAs, and amplifiers with foundries, OSATs, and CMs, including ATE, probe card, and optical alignment validation * Define test coverage, acceptance criteria, and yield targets for all production phases * Drive CM collaboration on test fixture design, equipment qualification, calibration, and maintenance to ensure repeatability and uptime * Implement automated test scripts, calibration routines, and data pipelines for traceability and real-time yield monitoring * Apply SPC, Cp/Cpk, DOE, and root cause analysis to improve process capability and test stability * Manage CM test audits, cross-site correlation, and calibration reviews to maintain consistency across factories * Qualify new CMs and test vendors in partnership with Supply Chain and Quality * Serve as primary escalation point for production test issues and lead cross-functional resolution * Travel up to 30% for test bring-up, validation, and continuous improvement Qualifications * Bachelor’s or Master’s in Electrical, Manufacturing, or Systems Engineering (or related field). * 7+ years of experience in manufacturing/production test engineering for semiconductor, photonic, lasers, or sensor-based systems. * Proven experience transferring engineering test processes into high-throughput, in-line production test systems. * Hands-on experience with wafer/die-level test, optics, amplifiers, PCBA (ATE, probe cards, parametrics, optical alignment) and module-level system testing. * Proficiency in Python or LabVIEW for test automation, data collection, and analysis. * Strong understanding of analog/mixed-signal test, signal integrity, and noise reduction. * Experience with SPC, DOE, root cause analysis, and yield improvement. * Strong CM management skills with the ability to influence test execution, throughput, and quality. Preferred Qualifications * Background in silicon photonics, FMCW LiDAR, or precision analog front ends. * Familiarity with in-line optical/electrical test for wafer-level packaging and photonic integration. * Experience scaling test operations across multiple CMs from NPI to volume production. * Knowledge of MES, manufacturing analytics, and automated factory data systems Benefits * Competitive salary and meaningful equity package * Comprehensive health benefits (Medical, Dental, Vision) * Unlimited PTO and paid company holidays * Team events and company meetups * Hybrid or remote work environment with monthly travel for remote employees. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job Description:\n\nAbout Phaidra Phaidra is building the future of industrial automation. The world today is filled with static, monolithic infrastructure. Factories, power plants, buildings, etc. operate the same they've operated for decades — because the controls programming is hard-coded. Thousands of lines of rules and heuristics that define how the machines interact with each other. The result of all this hard-coding is that facilities are frozen in time, unable to adapt to their environment while their performance slowly degrades. Phaidra creates AI-powered control systems for the industrial sector, enabling industrial facilities to automatically learn and improve over time. Specifically:We use reinforcement learning algorithms to provide this intelligence, converting raw sensor data into high-value actions and decisions.We focus on industrial applications, which tend to be well-sensorized with measurable KPIs — perfect for reinforcement learning.We enable domain experts (our users) to configure the AI control systems (i.e. agents) without writing code. They define what they want their AI agents to do, and we do it for them. Our team has a track record of applying AI to some of the toughest problems. From achieving superhuman performance with DeepMind's AlphaGo, to reducing the energy required to cool Google's Data Centers by 40%, we deeply understand AI and how to apply it in production for massive impact. Phaidra's ability to achieve its mission is determined by our ability to work together — as defined by our core values: Transparency, Collaboration, Operational Excellence, Ownership, and Empathy. We seek individuals who embody these values, as they are instrumental in ensuring our team consistently delivers excellence and fosters an engaging and supportive culture Phaidra is based in the USA, but we are 100% remote with no physical office. We hire employees internationally with the help of our partner, OysterHR. Our team is currently located throughout the USA, Canada, UK, Sweden, Spain, Portugal, the Netherlands, Singapore, Australia, and India.The Opportunity At Phaidra, security is the bedrock of trust for our customers operating the world's most critical infrastructure. We are looking for a Senior Product Security Engineer to partner directly with our Agentic AI department. This team is at the forefront of our mission, building autonomous agents responsible for optimizing the operational fabric of AI factories. These agents don't just chat; they act. They make real-time decisions to optimize power usage, cooling efficiency, and hardware health, creating a more stable and efficient environment for massive-scale compute. This is a high-stakes environment where the integrity and security of AI-driven decisions are paramount. You will tackle the unique security challenges of deploying autonomous agents that interact directly with physical control systems. Security failures here don't just mean data leaks; they could mean operational downtime or physical degradation of critical hardware. We need a security expert who thrives working hand-in-hand with AI researchers and engineers. Your role is to embed security into the DNA of our Agentic platform, ensuring that as our agents learn and explore, they do so within unbreakable safety boundaries. We are seeking a team member located in the following areas: UK or US (central and eastern time preferred)ResponsibilitiesChampion Secure Agentic AI Development: Drive the adoption of Phaidra's Secure AI/ML Development Lifecycle (SAIDL) within the Agentic AI team. Adapt security practices to fit the iterative and experimental nature of Reinforcement Learning and agent development.Agentic Threat Modeling: Partner with researchers to model threats specific to autonomous agents. Beyond standard AI risks, you will analyze risks unique to agents, such as goal misalignment, reward hacking, infinite looping, and insecure tool execution (e.g., an agent executing a command that exceeds safety limits).Secure Agent Architecture & Safety Boundaries: Design secure-by-default architectures for autonomous agents. Crucially, this involves defining deterministic safety guardrails that sit between the probabilistic AI model and the physical hardware controls. Ensure "Zero Trust" applies to the agent—it should only have the minimum permissions needed to adjust specific parameters.Secure Agent Tools & Memory: Architect security controls for the "tools" the agent uses (APIs to read sensors or change settings) and the agent's long-term memory. Ensure the agent cannot be manipulated into using a tool to perform unauthorized actions or "poisoned" via its memory context.MLSecOps for RL Pipelines: Secure the training and simulation pipelines used for Reinforcement Learning. Ensure the integrity of the simulation environments (Digital Twins) used to train agents, preventing attackers from influencing agent behavior during the training phase.Adversarial Testing & Red Teaming: Lead AI Red Teaming exercises focused on behavioral manipulation. Can you trick the agent into making a suboptimal decision? Can you manipulate the observations the agent receives?Incident Preparedness: Develop incident response playbooks tailored for autonomous systems, focusing on "Kill Switches" and rapid rollback capabilities in the event of rogue agent behavior.Cross-Functional Partnership: Build strong relationships with the Agentic AI researchers, SREs, and Data Scientists. Act as an enabler who helps them deploy powerful agents safely, rather than a blocker.Key QualificationsAgentic AI & RL Security: Proven understanding of the security risks associated with Reinforcement Learning, Autonomous Agents, or automated decision-making systems.AI Partnership: Demonstrated experience working embedded with AI system developers and researchers. You understand the difference between "probabilistic" (AI) and "deterministic" (Code) and how to secure the bridge between them.Core Experience: 5+ years of work experience in product security, application security, or a closely related security engineering role.Safety Engineering Mindset: You understand that in physical systems, "Availability" and "Safety" often outrank "Confidentiality." You are familiar with concepts like fail-safes and human-in-the-loop controls.Technical Depth:Strong programming experience, ideally with Python (essential for ML/AI ecosystems) or Go.Familiarity with agent frameworks (e.g., LangChain, AutoGPT) or RL libraries (e.g., Ray RLLib).Proven experience securing Cloud infrastructure (GCP) and Kubernetes.Deep understanding of Authentication & Authorization (specifically non-human identities/workload identity).Advanced MLOps: Direct, hands-on experience securing MLOps tooling (e.g., Kubeflow, MLflow) and deep understanding of securing complex data and model-training pipelines.Preferred Skills & ExperienceIndustrial / OT Context: Experience working with systems that interface with the physical world (IoT, Robotics, ICS/OT). Understanding of the "IT/OT convergence."Formal Verification for AI: Experience using mathematical methods to prove that an AI model or agent will not violate specific safety constraints.Sim-to-Real Security: Experience securing simulation environments (Digital Twins) and managing the security risks of transferring policies from simulation to the real world.Protocol Fuzzing: Ability to test industrial protocols (e.g., Modbus, BACnet) for robustness against automated or adversarial inputs.AI Governance: Familiarity with emerging standards like the NIST AI RMF or ISO 42001.Critical Systems: Experience securing "closed loops" or control systems where latency and reliability are critical.Certifications: Relevant advanced certifications, such as GICSP (Global Industrial Cyber Security Professional), ISA/IEC 62443 Cybersecurity Expert, NVIDIA Agentic AI, OSEP (Offensive Security Experienced Penetration Tester), CISSP, or OSCP.Our StackAI/ML: PyTorch, TensorFlow, Ray (RL), LangChain, Gemini/OpenAI/Anthropic models.Languages: Python, Go.Infrastructure: Docker, Kubernetes, Terraform.Cloud: GCP (GKE, PubSub, BigTable)Onboarding In your first 30 days — (Foundation and AI Landscape Familiarization)Understand the Mission: Deep dive into "Building AI for AI Factories." Understand the specific physical parameters (power, cooling, airflow) our agents are optimizing.Build Trust: Sit with the Agentic AI researchers to understand their workflow. How do they train agents? How do they simulate environments?Initial Review: Conduct a high-level review of the current "Safety Layer" that sits between the Agent and the control systems. In your first 60 days — (Threat Modeling & Guardrails):Agent Threat Model: Lead a detailed threat modeling session for a specific Agentic workflow. Focus on the Interface between the Agent and the Physical Hardware.Guardrail Implementation: Propose and begin implementing technical controls (guardrails) that enforce deterministic safety rules, ensuring the AI cannot exceed operational limits regardless of its intent.Secure the Tools: Review the security of the internal APIs (Tools) that the agents use to sense and act on the environment. In your first 90 days — (Strategy & Automation):Reference Architecture: Publish a "Secure Agent Reference Architecture" for future agent development.Driving Initiatives: Drive the implementation of the secure reference architectures and remediation of key findings from the threat modeling exercises.Demonstrable Impact: Showcase measurable improvements in the security of the AI/ML pipeline (e.g., implementation of runtime monitoring for anomalous model behavior, reduction of AI-specific vulnerabilities).Strategic Contributions: Establish yourself as the key security partner and expert for the Agentic AI Department.General Interview Process All of our interviews are held via Google Meet, and an active camera connection is required.Meeting with People Operations team member (30 minutes)Meeting with Hiring Manager (30 minutes)Technical Interview with our Senior Product Security Engineer (60 minutes)Meeting with Agentic AI team member (45 minutes)Culture fit interview with Phaidra's co-founders (30 minutes)Base Salary US Residents:Tier 1 (Largest highest-cost metros): 146,200 USD - 199,600 USDTier 2 (Other major metros): 138,640 USD - 189,370 USDTier 3 (Mid-sized metro areas): 131,080 USD - 179,140 USDTier 4 (All other locations): 123,520 USD - 168,910 USD UK Residents:Tier 1 (London): 95,200 GBP - 142,000 GBPTier 2 (Manchester, Birmingham, Edinburgh, Bristol): 89,600 GBP - 134,400 GBPTier 3 (Other areas): 84,000 GPB - 126,000 GBP In addition to base salary, this position is eligible for equity. Final salary will be determined based on several factors, including a candidate's qualifications, skills, competencies, experience, expertise, education and location. In some cases, final compensation may fall outside the posted range. Salary ranges are regularly reviewed and may be adjusted in response to market trends. Benefits & PerksFast-paced, team-oriented environment where your work directly shapes the company's direction.We are a 100% remote company. Competitive compensation & meaningful equity.Outsized responsibilities & professional development.Training is foundational; functional, customer immersion, and development training.Medical, dental, and vision insurance (exact benefits vary by region).Unlimited paid time off, with a required minimum of 20 days per year.Paid parental leave (exact benefits vary by region).Flexible stipends to support your workspace, well-being, and continued professional development.Company MacBook. Please note: Not all of Phaidra's benefits and perks listed above apply to temporary employees such as interns.On being Remote We take a thoughtful and intentional approach to remote collaboration. Inspired by pioneers like GitLab, we embrace proven best practices to foster an exceptional remote work environment. Our culture is documentation-first, and we prioritize asynchronous communication to support focus and flexibility across time zones. While we value independence, we stay closely connected through tools like Slack and video conferencing. Weekly all-hands meetings help us align and build strong relationships, and we regularly host virtual team-building activities and social events to maintain a sense of camaraderie.Equal Opportunity Employment Phaidra is an Equal Opportunity Employer; employment with Phaidra is governed on the basis of merit, competence, and qualifications and will not be influenced in any manner by race, color, religion, 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 welcome diversity and strive to maintain an inclusive environment for all employees. If you need assistance with completing the application process, please contact us at Notice Phaidra participates in E-Verify, an employment authorization database provided through the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA). As required by law, we will provide the SSA and, if necessary, the DHS, with information from each new employee's Form I-9 to confirm work authorization for those residing in the United States. Additional information about E-Verify can be found here. #LI-Remote To be considered for any position at Phaidra, you must submit an online application. This role will remain open until it is filled. Phaidra only hires individuals who are legally authorized to work in the specified location(s) above. We do not provide employment sponsorship. Candidates requiring visa sponsorship, either now or in the future, are not eligible for hire. WE DO NOT ACCEPT APPLICATIONS FROM RECRUITERS.

Job Description Applied Physics is seeking a talented Electromechanical Engineer to join our team. As an Electromechanical Engineer at Applied Physics, you will work on a variety of exciting and challenging projects in fields ranging from energy storage to space exploration. Responsibilities: • Design and develop electromechanical systems from concept to production, • Conduct feasibility studies, simulations, and prototyping, • Collaborate with cross-functional teams to integrate electromechanical systems into larger products, • Develop and conduct tests and analyze data to ensure product reliability and performance, • Identify and troubleshoot problems during the product development phase, • Bachelor's or Master's degree in Electrical Engineering or a related field, • At least 3 years of experience in electromechanical design and development, • Proficient in CAD software such as SolidWorks, AutoCAD, or equivalent, • Familiarity with electrical and mechanical components such as motors, sensors, controllers, and actuators, • Strong problem-solving and analytical skills, • Experience with PCB design and assembly is a plus, • Experience with mechatronics or robotics is a plus, • Familiarity with international standards and regulations for electromechanical systems is a plus We offer a competitive salary and benefits package, flexible work hours, and opportunities for growth and career development. Join our dynamic and passionate team and help us make a positive impact on the world. If you are a talented, motivated, and empathetic individual who shares our passion for making a difference, we encourage you to apply for this exciting opportunity to work with our team at Applied Physics. Applied Physics is an equal opportunity employer.

Job Description Who we are: Formic is on a mission to reshape American manufacturing by making automation accessible to every factory. As labor constraints rise, costs increase, and global competition intensifies, automation is no longer optional for manufacturers that want to stay competitive. We deliver automation through a Robotics-as-a-Service model that combines industrial robotics, proprietary software, and full-service support into a single, integrated solution. By removing the traditional barriers of cost, complexity, and risk, we enable manufacturers to deploy automation quickly and realize measurable gains in throughput, safety, and operational efficiency without large upfront capital investment. Backed by leading investors including Lux Capital, Initialized Capital, Blackhorn Ventures, and Mitsubishi HC Capital North America, Formic is scaling rapidly and building the foundation for a new era of high-performance, Made in America production. About the team: The Fleet Operations Team drives uptime and operational performance across Formic's growing fleet of deployed robotic systems. Working inside live manufacturing environments, the team diagnoses issues, restores production, and continuously improves system reliability at scale. Fleet Operations operates at the intersection of robotics, controls, and real-world factory execution, ensuring Formic's automation delivers consistent, measurable performance across diverse industrial applications. About the role: As a Robotics Field Service Engineer, you are the front line of technical ownership across Formic's deployed robotic cells. You will diagnose failures, restore systems to production, perform preventative and corrective maintenance, and represent Formic directly within customer facilities. This is a hands-on, high-accountability role in uptime-critical environments. Success requires strong troubleshooting discipline, calm execution during production interruptions, and structured documentation. Your work directly impacts fleet performance, customer satisfaction, and long-term system reliability. In this role you will: • Perform preventative, corrective, and predictive maintenance on robotic manufacturing cells, • Respond to remote and on-site escalations, diagnose root causes, and restore systems quickly, • Provide hands-on technical support to customer operators and maintenance teams, • Log service activity, asset updates, and spare part requirements in CMMS systems, • Coordinate field scheduling and support with customers, vendors, and internal stakeholders, • Monitor system performance remotely using Formic dashboards and fleet tools, • Document service work, root cause analysis, and follow-up actions with clarity and precision, • Identify recurring failure patterns and escalate systemic risks for broader improvement, • Build professional, trusted relationships with plant managers and site personnel, • Operate with strict adherence to safety standards, including LOTO and industrial compliance, • Participate in RCA sessions, audits, and continuous improvement initiatives, • 3+ years of hands-on field service experience supporting robotic or industrial automation systems, • Strong troubleshooting skills across electrical, mechanical, PLC, or robotic control systems, • Ability to read electrical schematics, wiring diagrams, and pneumatic drawings, • Experience using CMMS platforms to track and report maintenance activity, • Comfortable with local travel up to 80% and overnight travel up to 50%, • Clear written and verbal communicator capable of producing structured service documentation, • Experience with 6-axis robot brands such as Fanuc, KUKA, Yaskawa, ABB, or Universal Robots, • Familiarity with palletizing, case packing, pick-and-place, or conveyor systems, • Experience in food, beverage, packaging, CPG, or other high-speed manufacturing environments, • Prior customer-facing field experience, • Equity in Formic: Participate in our stock option program and share in the success of a fast-growing start-up backed by leading global investors, • Competitive & Uncapped Commission Structure: Designed to reward performance and impact in commission-eligible roles, • Comprehensive Healthcare Coverage: Medical, dental, and vision insurance through Blue Cross Blue Shield and Unum, with 99% of employee premiums covered and 75% coverage for dependents, with optional buy-up plans available, • Additional Insurance Benefits: FSA and DCFSA, life insurance, short-term disability, and long-term disability through Unum, all 100% employer-paid, • Employee Assistance Program (EAP): Fully funded by Formic, offering support when you need it most, • Paid Parental Leave Program: Up to 12 weeks of paid parental leave, • Company-sponsored 401(k): Invest in your future with our company-facilitated retirement savings plan, • Home Office Stipend: A one-time allowance for fully remote and hybrid employees to support an at-home or on-the-road work setup, • Monthly Cell Phone Reimbursement: Monthly stipend toward personal phone and internet expenses Final offers are customized based on experience, geographic location, market considerations, and a candidate's preferred balance of cash and equity. Our goal is to attract and reward top talent who will have significant impact, and we are open to thoughtful discussions to align on the right structure. Compensation Range:$29—$44 USD What we look for: We're building this company from the ground up, and every person we hire has an outsized impact on our culture, performance, and trajectory. While each team member brings unique strengths and perspectives, we look for people who align with our Operating Principles and embody them in action. If this sounds like you, Formic may be the right place for you! • Fearless Optimism: You make bold bets and default optimistic. You believe in the mission, aren't paralyzed by risk, and fear inaction more than failure. You see ambiguity as opportunity and bring energy to building what doesn't yet exist., • Create the Magic: You absorb complexity so customers don't have to. Whether your customer is external or internal, you focus on delivering experiences that are clear, fast, value-added, and outcome-driven. You don't say "not my job." You make things work., • Today, Not Tomorrow: You have a bias to action. You close the loop. You take extreme ownership. You understand that speed compounds, and you don't confuse activity with results., • Seek Truth: You think from first principles. You value data over ego and strong opinions loosely held. You're willing to challenge assumptions, including your own, in pursuit of the best answer., • Made of Rubber: You are resolute and adaptable. When things break or priorities shift, you rebound stronger. You treat setbacks as learning moments and move forward with grit. Formic is an equal opportunity employer. We do not discriminate on the basis of race, color, religion or religious creed, sexual orientation, gender, gender identity, marital status, family or parental status, disability, military or veteran status, or any other basis protected by law. All employment decisions are based on a person's merit, business needs, and role requirements. If you require further accommodations or have questions regarding accessibility of our roles, please reach out to . AI Use: At Formic, fairness and transparency are at the heart of our hiring process. We use AI-powered tools in some interviews to help our teams evaluate candidate responses, but all final hiring decisions are made by humans. You can learn more about how AI is used in our recruitment process by reviewing our AI Hiring Disclosure linked here.

Job DescriptionCoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at . What You'll Do The Field Engineering team at Weights & Biases plays a vital role in ensuring customer success and adoption of our platform. As part of this team, we partner with Sales, Support, Product, and Engineering to lead technical success after the sales process. We work closely with some of the most advanced AI teams in the world, helping them build, optimize, and scale their ML and GenAI workflows across industries such as computer vision, robotics, natural language processing, and large language models (LLMs). About the Role We're hiring an AI Solutions Engineer, Post-Sales to help customers solve real-world problems by enabling them to implement and scale ML pipelines and agentic workflows using Weights & Biases. In this role, you'll collaborate with engineering teams to ensure smooth onboarding and adoption, act as a trusted advisor on best practices, and represent the voice of the customer internally. You will partner directly with leading AI teams to optimize workflows, share technical expertise, and influence our product roadmap based on real-world customer feedback. This is an ideal opportunity for ML practitioners who are customer-focused and eager to work with top AI companies globally. Who You Are • 3–5 years of relevant experience in a similar role, • Strong programming proficiency in Python, • Hands-on experience enabling production-grade ML systems, with a focus on training and inference pipelines, experiment tracking, deployment patterns, and observability using deep learning frameworks (TensorFlow/Keras, PyTorch/PyTorch Lightning) and MLOps tooling (e.g. Airflow, Kubeflow, Ray, TensorRT)., • Familiarity with cloud platforms (AWS, GCP, Azure), • Experience with GenAI/LLMs and related tools (e.g. LangChain/LangGraph, HuggingFace Transformers, Pinecone, Weaviate), • Strong experience with Linux/Unix, • Excellent communication and presentation skills, both written and verbal, • Ability to break down and solve complex problems through customer consultation and execution, • Background in robotics, • TypeScript experience, • Proficiency with Fastai, scikit-learn, XGBoost, or LightGBM, • Background in data engineering, MLOps, or LLMOps, with tools such as Docker and Kubernetes, • You love collaborating with top AI teams to solve real-world ML and GenAI challenges, • You're curious about how to optimize AI workflows at scale, • Be Curious at Your Core, • Act Like an Owner, • Empower Employees, • Deliver Best-in-Class Client Experiences The base salary range for this role is $165,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility). What We Offer The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location. In addition to a competitive salary, we offer a variety of benefits to support your needs, including: • Medical, dental, and vision insurance - 100% paid for by CoreWeave, • Company-paid Life Insurance, • Voluntary supplemental life insurance, • Short and long-term disability insurance, • Flexible Spending Account, • Health Savings Account, • Tuition Reimbursement, • Ability to Participate in Employee Stock Purchase Program (ESPP), • Mental Wellness Benefits through Spring Health, • Family-Forming support provided by Carrot, • Paid Parental Leave, • Flexible, full-service childcare support with Kinside, • 401(k) with a generous employer match, • Flexible PTO, • Catered lunch each day in our office and data center locations, • A casual work environment While we prioritize a hybrid work environment, remote work may be considered for candidates located more than 30 miles from an office, based on role requirements for specialized skill sets. New hires will be invited to attend onboarding at one of our hubs within their first month. Teams also gather quarterly to support collaboration. California Consumer Privacy Act - California applicants only CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information. As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: . Export Control Compliance This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. The opportunityAs a Software Engineer in the Robotics and Automation group at Radical AI, you will design and deploy systems to automate our material science research and discovery laboratory. You will specialize in robotics, automation, and perception software development. Your experience and vision will shape both the physical and systematic implementation of lab automation. You will collaborate closely with Mechatronics, Mechanical Engineering and Material Scientists to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. Mission • Architect and develop software systems that control and orchestrate robotic workcells for autonomous materials experimentation, • Design scalable control frameworks for flexible automation involving robots, motion systems, sensors, and lab instruments, • Collaborate with hardware, mechatronics, and science teams to translate experimental workflows into reliable automated processes, • Build and maintain APIs and services for scheduling, execution, monitoring, and data capture, • Develop simulation, testing, and validation tools to accelerate development and ensure system reliability, • Integrate 2D and 3D vision systems (cameras, lighting, depth sensors) with robotic manipulation, motion planning, and execution, • Optimize system performance, robustness, and throughput under rapid iteration cycles, • Contribute to technical direction, architecture decisions, and best practices across the robotics, perception, and automation software stack, • Mentor junior engineers and help establish engineering standards in a fast-growing organization, • Bring an attitude of collaboration and open-mindedness, to facilitate fearless and creative problem solving skills that empowers our team to ship world class technology at an unprecedented speed.About you, • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field, • Four+ years of professional software engineering experience, with significant work in robotics or automation systems, • Strong proficiency in modern programming languages such as Python and C++, • Experience with robotic control frameworks (e.g., ROS/ROS2 or equivalent custom systems), • Experience with physical simulation environments (e.g. MuJoCo, IsaacSim), and hardware-in-the-loop testing, • Solid understanding of motion planning, state machines, real-time or near-real-time control systems, • Experience integrating hardware systems including robots, sensors, vision systems, and industrial equipment, • Ability to work independently in a hands-on, development-oriented environment., • Strong communication skills and ability to collaborate across engineering and scientific disciplines.Pluses, • Experience deploying autonomous systems in laboratory, manufacturing, or industrial environments, • Experience deploying autonomous mobile robots and working with simultaneous localization and mapping (SLAM), • Experience with reinforcement learning and computer vision applied to robotics, • Familiarity with machine learning applied to robotics, experimentation, or optimization, • Prior startup experience or ownership of systems from early prototype through productionWhat we offer, • A competitive compensation package also includes the best in benefits., • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job DescriptionWho you areAs a Copia employee, you’ll solve challenging, unique, and meaningful problems alongside passionate coworkers while we change the way everything gets built.As a Senior Platform Engineer, you bring experience across Site Reliability Engineering, DevOps, and Infrastructure Engineering. You take ownership of technical projects (ideally with prior experience solving similar problems) and provide thought leadership. You’re comfortable making architectural decisions, guiding other engineers, and helping set the technical direction of the product.Building products for the industrial automation space requires knowledge uncommon to most software engineering jobs. In your day-to-day, you’ll learn about a wide variety of industrial automation topics. About usCopia Automation provides best-in-class disaster and recovery technology for industrial automation.Our product brings modern developer tools to the OT space through our novel Git-based source control for automation professionals, with multiple delivery methods including self-hosted and fully hosted options. We are a well-funded startup with a growing list of happy customers throughout the industrial space.As a Copia employee, you’ll solve challenging, unique, and meaningful problems alongside passionate coworkers, while we change the way everything gets built. Why industrial automation?Manufacturing is powered by industrial automation—computerized systems and robotics running on PLCs. This ecosystem uses a unique graphical language that doesn’t work with typical developer tools like GitLab or GitHub. Instead, automation professionals rely on physical storage devices, incompatible tools, and incomplete solutions. When minutes of downtime can cost tens of thousands of dollars, better development tools are urgently needed. Engineering at CopiaThe Copia engineering team solves problems through collaboration, experimentation, and ownership. We pair on tough issues and look for ways to test our assumptions. You’ll join a team that encourages ownership and values pragmatic solutions, weighing short-term needs and long-term goals.Finally, we’re optimistic. We celebrate successes, support each other through unexpected challenges, and approach problems with a positive attitude.What you'll do: • Take ownership of challenging technical projects across cloud, on-prem, and bare metal environments, • Deploy and test our web application across various cloud providers and self-hosted infrastructures across Linux and Windows Server, • Develop tools that enable an efficient SDLC capable of delivering to cross-platform targets, • Work with modern infrastructure stacks, including Kubernetes, virtualization platforms, and hybrid cloud/on-prem, • Solve scaling and reliability challenges in our cloud offering as we onboard new customers, • Maintain a high bar for service availability and performance while handling customer data with best-in-class security practices, • Apply cloud-native design principles to architect infrastructure supporting real-world industrial workloads, • Provide technical guidance and help define the roadmap with time for deep engineering work and minimal interruptions, • Support our self-hosted customers as they onboard and operate our platformWhat you'll need:, • 3–5 years of SRE/DevOps/Infrastructure experience, • Experience architecting and operating infrastructure on major cloud providers (AWS or similar), • Experience with modern container platforms such as EKS, AKS, or GKEExperience with one or more programming/scripting languages including Go, Python, or Typescript, • Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation, • Knowledge of cloud security best practices, • Experience monitoring infrastructure using log/monitor/alert suites such as Datadog, Prometheus, OpenTelemetry, GrafanaNice to haves:, • Experience using Service Level Objectives (SLOs), • Experience operating secure multi-tenant environments or multi-tenant architectures, • Experience running workloads on bare metal or Talos OSExperience with virtualization platforms such as VMWare or Nutanix, • Experience with configuration management tools such as Packer and AnsibleInterest or experience in manufacturing and hardware innovation (EE or ME), • Interest or experience in industrial automation and PLCsExperience working in compliant environments including SOC2 or ISO27001Benefits include unlimited PTO, employer-subsidized healthcare through Aetna, commuter benefits, in-office lunches, and more! Full-time, permanent employees also receive generous equity packages.Come join us!Copia is growing extraordinarily fast! Join a best-in-class start-up with huge amounts of upside and impact. Our headquarters is in New York City.

Job Description About the Field Service Team The Field Service Team ensures Aniai builds lifelong customers across the globe. With the rapid deployment of our flagship product, Alpha Grill, our Field Service Engineers (FSEs) are out at customer sites training kitchen teams, leading installations and solving the unpredictable issues that happen in the startup environment. The Field Service Team has 8 members right now, 7 in Korea and 1 in our NYC HQ. We’re looking for another rock star to join our team in the early stages within the US market. About the Field Service Manager (FSM) Role We are looking for a rock-star FSM to build the field engineering team from the ground up. You will come in with some ready-to-go playbooks from our team in Korea, but we’re expecting you to bring rich experience in leading installations and maintenance for high tech machines, training and managing external service technicians, and building processes and infrastructure for how the team operates. You will manage our FSE from day one, and you will become the go-to expert for our customers and internal teams, lending your knowledge and skillset to optimize performance, provide technical support and education, and deliver exceptional customer service. Here’s the fine print: Customers • Deployments: Install Alpha Grill in customer sites, ensuring proper configuration and calibration for optimal performance., • User Training: Provide comprehensive training and guidance to customers on how to use Alpha Grill and what common issues they can self-resolve., • Maintenance: Monitor Alpha Grill performance KPIs, identify areas of improvement, and promptly address customer concerns or issues. Troubleshoot issues remotely or conduct site inspections as needed. Carry out repairs, ensuring we meet standard service level agreements set. Service Providers & Technicians • Trainings: Develop and lead training programs for onboarding 3rd party service technicians., • Service Network Dispatch: Manage nationwide service network and dispatching service calls to appropriate technicians., • SLA Management: Ensure service technicians meet SLAs and provide escalation training and response support when technicians do not achieve desired targets. Team Infrastructure • Field Service Playbook: Build the team playbook, creating and managing KPIs against standard installation processes, site visits and general service calls., • Service Manual: Build our first service manual, creating a comprehensive document which serves as the technical resource for all technicians. Miscellaneous • Demo Unit Maintenance: Support our test kitchens and tradeshows with technical deployment setup and assistance., • Product Recipe Testing: Support sales team by testing recipes coming from potential and existing customers on the Alpha Grill. We ask Everyone at Aniai to: • Have a bachelor's degree., • Be excited to work at our NYC HQ 5 days per week. We pride ourselves in building community through our in-person culture., • Love burgers. What is your favorite burger? We want to know!, • Communicate effectively and love cross-collaborative efforts. Our teams span across the US and Korea, which takes patience, kindness and communication to make it work., • Have a hustle mentality, solve problems and act quickly. We’re a rapidly growing startup, we don’t have time to waste., • (Bonus) Have experience in early-stage startups., • (Bonus) Have experience in robotics, kitchen equipment manufacturing, or restaurants. We ask FSMs at Aniai to: • Have an educational background in mechanical or electrical engineering., • Have made incredible impacts in their prior experience. We think this takes the equivalent of roughly 5+ years in Field Service to do. You will be the most accomplished field engineer on our team and your prior experience should show this., • Have trained and led field service teams, including managing external technician networks nationwide., • Deep experience building 0-1 processes and playbooks. Assume nothing exists today, we need you to build it., • Have some experience or general awarenss of managing P&L for the field service team. You may not have had direct control of the P&L in your prior experience but you’ve had exposure to it and understand how to reduce team costs., • Be top tier communicators. You not only possess a deep understanding of technical concepts, but you also know how to communicate these to non-technical audiences with ease., • Travel at least 50% to customer locations across the United States. We require a valid US Driver's License with a clean record., • Solve problems every day. You most likely love puzzles and have a knack for finding creative solutions to the toughest issues., • Be organized in their approach to customer deployments and maintenance. Startups are chaos so we aim to find someone methodical and logical in everything they do., • (Bonus) Have experience in deploying and servicing robotic products! Don’t meet all our requirements? Don’t worry! We still want to meet you even if you find yourself only nailing 50%. So, if this feels like an incredible opportunity, apply anyways. Benefits We’re focused on one thing and one thing only – growth. Our benefits reflect our ability as an early-stage startup to give our employees the space and resources they need to focus on growth and be successful here at Aniai. We hope to continue expanding our benefits as we expand our business, but today we offer the following: • Compensation at $80-100k based on prior experience, • Meaningful Equity, • 100% Covered Top-Tier Medical, Dental & Vision insurance, • 15 Days PTO + 5 Paid-Sick Days + 8 Company Holidays, • NYC HQ Loft with free coffee, snacks, drinks and more!, • Apple Macbook + other equipment necessary to do the job, • Team bonding activities, • Access to Alpha Grill, and we guarantee plenty of food!

Job Description We are seeking a Senior Robotics Engineer to lead advances in perception, sensor fusion, and sensor calibration that directly impact the growth and success of our business. As we expand, your role will evolve to meet new challenges and priorities. Key Responsibilities: • Lead SLAM development to improve product quality and consistency across diverse operating conditions, including GPS-degraded environments., • Enhance sensor fusion and calibration processes by integrating multi-user, multi-session point cloud maps and automating LiDAR and imagery alignment for consistent large-scale scene generation., • Drive scalability and reliability by eliminating the need for extrinsic sensor measurements in the field and proactively identifying and correcting data quality issues., • Collaborate closely with a mission-driven team of robotics and enterprise software experts to revolutionize fieldwork in the energy sector., • Develop and implement perception solutions, focusing on LiDAR, sensor fusion, and SLAM mapping for building accurate environmental maps. Required Experience & Qualifications: • 4+ years of experience in perception and mapping in robotics., • Proven background working with mobile platforms such as cars, drones, or robots performing large-scale mapping using LiDAR and other sensors., • Hands-on experience with systems integration—understanding how cameras, sensors, vehicles, and perception software work together., • Experience with SLAM solutions involving ground-based LiDAR and extensive sensor calibration (intrinsic and extrinsic), including automated data-driven techniques., • Proficiency in multimodal sensor fusion and working with ultra-wide-angle cameras., • Track record of succeeding on small, fast-moving engineering teams. Technical Skills: • Strong proficiency in C++ and Python., • Deep expertise in SLAM, sensor calibration, and sensor fusion techniques. Soft Skills: • Mission-first mindset focused on delivering strong customer and business outcomes., • Curiosity and adaptability with a willingness to learn and pivot as needed.

Job DescriptionAbout Us: Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting edge research in silicon photonics. Why Join us? At Voyant, you’ll help build some of the world’s most complex silicon photonics chips, reimagined for high-performance 3D sensing. Our chips are at the heart of our LiDAR systems, and your work has a direct impact on our core product and roadmap. As a Senior Silicon Photonics Engineer, you’ll play a key role in defining photonic architecture and developing new passive and active components. In your first year, you’ll own simulations, and design system PICs, working hands-on from concept through implementation. You’ll join a small, fast-growing team that collaborates tightly across photonics, systems, packaging, and electronics. The role offers both deep technical ownership and real growth potential — from leading component design to eventually overseeing full tapeout efforts across disciplines. If you're excited by cutting-edge technology and meaningful challenges, this is a rare opportunity to shape a core system in a company that’s bringing photonics innovation to market. Key Responsibilities: * Design and simulate photonic components and system-level functionality and performance * Design schematics, draw layout, as well as work with layout engineers to create photonic systems and component test structures. * Own and drive complex tapeouts to completion on time * Work closely with external manufacturing partners to inform component design, process integration, and performance monitoring. * Develop component and system-level optical testing plans and collaborate with the test team to develop optoelectronic testing setups, perform hands-on photonic component and optical system-level testing. * Work with the product team to transition/scale testing for performance evaluation. * Collaborate with cross-functional teams to integrate our photonic chips into the LIDAR system and evaluate their performance * Contribute to the expansion of our IP portfolio through patent filing Qualifications: * Ph.D. with research in silicon photonics with 2+ years’ experience * Proven track record leading one or more successful silicon photonics foundry tapeouts * Strong understanding of planar waveguide optics, both passive components such as waveguides, multiplexers/demultiplexers, tapers, couplers and active such as waveguide detectors, lasers and optical amplifiers * Strong understanding of photonic system-level design concerns * Strong understanding of photonic component-level design concerns * Experience in photonic fabrication * Good understanding of CMOS manufacturing process steps and constraints on the design of photonic devices * Proficient with mainstream photonic components and systems simulation packages such as Lumerical, Tidy3D and COMSOL * Proficient with complex optoelectronic lab testing techniques and equipment, necessary to validate designs, including high speed detectors, oscilloscopes, spectrum analyzers, precision positioning setups * Collaborative in a multi disciplinary startup environment, ability to work both with local and remote team members as well as with our manufacturing partners * Independent, analytical thinker, comfortable in a fast-paced dynamic frontier technology environment Benefits Package: * Competitive base salary and meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office. Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job DescriptionAbout Voyant: Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting-edge research in silicon photonics. Position Overview: We are seeking a highly motivated and self-driven Photonics Test Engineer to take ownership of test development and operations for our cutting-edge silicon photonics FMCW LiDAR technology. This is a hands-on role where you will develop and execute advanced test methodologies, ensure rigorous validation of our photonics devices, and work closely with a multidisciplinary engineering team. You will set a high standard for test execution, troubleshooting, and process improvements, leading by example through direct contributions and technical expertise. Key Responsibilities: * Develop and execute design verification tests, analyze results, and provide feedback to improve device performance. * Define and implement both die-level and wafer-level test solutions in collaboration with design, product, and packaging teams. * Develop production test solutions for silicon photonics components to ensure manufacturability and scalability. * Optimize and standardize test and analysis methodologies to improve repeatability and accuracy. * Bring up, manage, and operate automated wafer-level test (WLT) probers for silicon photonics devices. * Perform routine setup calibrations and ensure quality control in test processes. * Identify and mitigate test challenges, ensuring the execution of large-scale technical projects in a timely and efficient manner. Qualifications: * Education: Bachelor's, Master’s, or PhD in Electrical Engineering, Photonics, Optics, Physics, or a related field. * Experience: Minimum 2 years of hands-on lab experience testing silicon photonics devices or related photonics/optics components. * Technical Expertise: * Strong understanding of optical integrated circuit (PIC) design, testing, and its impact on product yield and performance. * Hands-on experience with optical test and measurement equipment (e.g., optical spectrum analyzers, power meters, interferometers, high-speed photodetectors) and optomechanical alignment tools. * Proficiency in Python for test automation, data analysis, and instrument control. * Knowledge of automated wafer-level testing (WLT) and test methodologies for silicon photonics. Practical experience in WLT is highly preferred. * Experience with fiber alignment automation or active alignment techniques. * Problem-Solving: Strong analytical and troubleshooting skills, with the ability to resolve complex system issues and propose corrective actions. * Communication & Collaboration: * Strong verbal and written communication skills to effectively convey complex test results, analysis, and technical insights. * Ability to work cross-functionally with design, manufacturing, and packaging teams. * Work Ethic & Adaptability: * Highly self-motivated and capable of managing multiple tasks with attention to detail. * Comfortable working in a fast-paced environment with evolving technical challenges. Benefits Package: * Competitive base salary and meaningful equity package. * Comprehensive health benefits (Medical, Dental, Vision). * Unlimited PTO and paid company holidays. * Team events and company meetups. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job Description About Voyant Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. The Opportunity We are seeking a Senior Production Test Engineer to lead the development and implementation of scalable, high-throughput test infrastructure for end-of-line testing for our integrated LiDAR sensor. You will be responsible for engineering and developing robust test methodologies with the goal of mass production for our LiDAR units. This is a highly cross-functional role working closely with Systems, Photonics, Electrical, Firmware, and Manufacturing Engineering teams to ensure performance, yield, and reliability from prototype to volume production. Key Responsibilities * Design and implement end-of-line (EOL) test strategies for LiDAR sensors, validating system-level performance (range, velocity, reflectivity, etc.). * Develop automated test fixtures and software to support both in-line and EOL testing in a production setting. * Translate lab-level validation methods into robust and scalable production tests across optical, electrical, and mixed-signal domains. * Partner with external contract manufacturers and test vendors to stand up and scale production test infrastructure; support factory bring-up and operator training. * Drive test coverage, throughput, and cost optimization in both low- and medium-volume manufacturing. * Lead root cause investigations for test failures across the stack and work cross-functionally to implement fixes. * Own and continuously improve statistical process control (SPC), yield tracking, and test data analytics across the production lifecycle. * Support reliability and environmental testing (e.g. thermal cycling, vibration, shock) for product qualification. Qualifications * Bachelor’s or Master’s degree in Electrical Engineering, Optical Engineering, Physics, or a related discipline. * 5+ years of experience in production test engineering with a focus on LiDAR systems or optical sensors. * Proven expertise in system-level testing for LiDAR, imaging, or other complex optical systems. * Hands-on experience developing and deploying automated test setups (Python preferred), including test instrumentation and DAQ systems. * Proven track record in statistical process control, yield analysis, and high-volume data-driven decision-making. * Demonstrated experience owning test strategy and implementation in a manufacturing or pilot-line environment. * Experience interfacing with contract manufacturers and external test vendors. Preferred Qualifications * Experience with test and validation FMCW LiDAR or coherent optical systems. * Exposure to MES systems, manufacturing analytics platforms, or test data infrastructure. Benefits * Competitive salary and meaningful equity package * Comprehensive health benefits (Medical, Dental, Vision) * Unlimited PTO and paid company holidays * Team events and company meetups * Hybrid or remote work environment with monthly travel for remote employees. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Mechatronics Engineer at Radical AI you will serve as the bridge between Mechanical Engineering and Software to operationalize a suite of novel robotic and autonomous systems to drive a first of its kind material science research and discovery laboratory. You will help ideate scalable designs for driving and automating state of the art lab equipment in part by specifying motors, motor drivers, actuators, encoders, sensors, and control systems. You will drive the integration of electromechanical systems and the foundational power and control systems, equipment, and hardware to operate our equipment safely and reliably. Your experience and vision will shape both the physical and systematic implementation of a lab-wide autonomous integrated control scheme. You will collaborate closely with Mechanical Engineering and Software to meet rigorous and sometimes dynamic design requirements at a profound deployment speed. You will maintain and optimize control system performance to meet throughput and reliability metrics that are critical to the success of the technology. Mission • Contribute to and actualize the vision of the Mechanical Engineering team as we tackle solving complex and interconnected material handling challenges, and innovate novel solutions to automating the operation of existing equipment and systems., • Leverage your industry experience to instill team-wide adoption and utilization of ‘right tool for the job’ off-shelf solutions to accelerate the deployment of control, power, safety, and sensing systems., • Execute on the design and implementation of precision motion control systems and associated sensors and encoders., • Design and assemble the power and control cabinets to drive our systems with a focus on design flexibility and industry standard best practices for safety systems to protect our people and our technology., • Swiftly debug and trouble shoot electromechanical systems to maximize facility and equipment uptime. Help shape the culture of the hardware team by leading from the front and demonstrating a disciplined sense of organization, eye for detail, and an impeccable level of polish and craftsmanship., • Bring an attitude of collaboration and openmindedness, to facilitate fearless and creative problem solving that empowers our team to ship world class technology at an unprecedented speed.About you, • Minimum B.S. in Electrical, Mechanical, or Mechatronics Engineering or a closely related field., • 3-5 years industry experience in robotics, industrial automation, or a closely related field., • A strong fundamental understanding of electrical engineering and industry best practices., • Competency with CAD software, we use SOLIDWORKS., • Experience with PLCs, motor drivers, and industrial automation., • Knowledge of control systems, embedded systems, and automation technologies., • Excellent communication and interpersonal skills.Pluses, • Familiarity with programming languages like Python., • Familiarity with 6 DOF arms cobots, and their implementation., • Hands on experience with rapid prototyping and machine fabrication techniques., • Experience or exposure to the design and utilization of material handling systems (AMRs, ASRS, conveyance systems, etc)What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description About the Field Service Team The Field Service Team ensures Aniai builds lifelong customers across the globe. With the rapid deployment of our flagship product, Alpha Grill, our Field Service Engineers (FSEs) are out at customer sites training kitchen teams, leading installations and solving the unpredictable issues that happen in the startup environment. The Field Service Team has 8 members right now, 7 in Korea and 1 in our NYC HQ. We’re looking for another rock star to join our team in the early stages within the US market. About the Manager, Field Engineering Role We are looking for a rock-star Manager to build the field engineering team from the ground up. You will come in with some ready-to-go playbooks from our team in Korea, but we’re expecting you to bring rich experience in leading installations and maintenance for high tech machines, training and managing external service technicians, and building processes and infrastructure for how the team operates. You will manage our FSE from day one, and you will become the go-to expert for our customers and internal teams, lending your knowledge and skillset to optimize performance, provide technical support and education, and deliver exceptional customer service. Here’s the fine print: Customers • Deployments: Install Alpha Grill in customer sites, ensuring proper configuration and calibration for optimal performance., • User Training: Provide comprehensive training and guidance to customers on how to use Alpha Grill and what common issues they can self-resolve., • Maintenance: Monitor Alpha Grill performance KPIs, identify areas of improvement, and promptly address customer concerns or issues. Troubleshoot issues remotely or conduct site inspections as needed. Carry out repairs, ensuring we meet standard service level agreements set. Service Providers & Technicians • Trainings: Develop and lead training programs for onboarding 3rd party service technicians., • Service Network Dispatch: Manage nationwide service network and dispatching service calls to appropriate technicians., • SLA Management: Ensure service technicians meet SLAs and provide escalation training and response support when technicians do not achieve desired targets. Team Infrastructure • Field Service Playbook: Build the team playbook, creating and managing KPIs against standard installation processes, site visits and general service calls., • Service Manual: Build our first service manual, creating a comprehensive document which serves as the technical resource for all technicians. Miscellaneous • Demo Unit Maintenance: Support our test kitchens and tradeshows with technical deployment setup and assistance., • Product Recipe Testing: Support sales team by testing recipes coming from potential and existing customers on the Alpha Grill. We ask Everyone at Aniai to: • Have a bachelor's degree., • Be excited to work at our NYC HQ 5 days per week. We pride ourselves in building community through our in-person culture., • Love burgers. What is your favorite burger? We want to know!, • Communicate effectively and love cross-collaborative efforts. Our teams span across the US and Korea, which takes patience, kindness and communication to make it work., • Have a hustle mentality, solve problems and act quickly. We’re a rapidly growing startup, we don’t have time to waste., • (Bonus) Have experience in early-stage startups., • (Bonus) Have experience in robotics, kitchen equipment manufacturing, or restaurants. We ask Managers, Field Engineering at Aniai to: • Have an educational background in mechanical or electrical engineering., • Have made incredible impacts in their prior experience. We think this takes the equivalent of roughly 5+ years in Field Service to do. You will be the most accomplished field engineer on our team and your prior experience should show this., • Have trained and led field service teams, including managing external technician networks nationwide., • Deep experience building 0-1 processes and playbooks. Assume nothing exists today, we need you to build it., • Have some experience or general awarenss of managing P&L for the field service team. You may not have had direct control of the P&L in your prior experience but you’ve had exposure to it and understand how to reduce team costs., • Be top tier communicators. You not only possess a deep understanding of technical concepts, but you also know how to communicate these to non-technical audiences with ease., • Travel at least 50% to customer locations across the United States. We require a valid US Driver's License with a clean record., • Solve problems every day. You most likely love puzzles and have a knack for finding creative solutions to the toughest issues., • Be organized in their approach to customer deployments and maintenance. Startups are chaos so we aim to find someone methodical and logical in everything they do., • (Bonus) Have experience in deploying and servicing robotic products! Don’t meet all our requirements? Don’t worry! We still want to meet you even if you find yourself only nailing 50%. So, if this feels like an incredible opportunity, apply anyways. Benefits We’re focused on one thing and one thing only – growth. Our benefits reflect our ability as an early-stage startup to give our employees the space and resources they need to focus on growth and be successful here at Aniai. We hope to continue expanding our benefits as we expand our business, but today we offer the following: • Compensation at $80-100k based on prior experience, • Meaningful Equity, • 100% Covered Top-Tier Medical, Dental & Vision insurance, • 15 Days PTO + 5 Paid-Sick Days + 8 Company Holidays, • NYC HQ Loft with free coffee, snacks, drinks and more!, • Apple Macbook + other equipment necessary to do the job, • Team bonding activities, • Access to Alpha Grill, and we guarantee plenty of food!

Job DescriptionRadical AI, Inc. is an artificial intelligence company that is accelerating scientific research & development. We are at the forefront of innovation in the field of materials R&D, a critical driver for advancing our most cutting-edge industries and shaping the future. Breaking away from the traditionally slow and costly R&D process, Radical AI leverages artificial intelligence and machine learning to pioneer generative materials science. This innovative field blends AI, engineering, and materials science, revolutionizing how materials are created and discovered. Radical AI's approach speeds up R&D and addresses global challenges, setting new benchmarks in technology and sustainability. As a Software Engineer at Radical, you’ll build the core software that powers our autonomous lab and AI platform. This is a generalist role: you might work on backend services, agent tooling, data + orchestration, internal platforms, and the infrastructure that keeps everything secure, observable, and reliable in production. We work in a deeply technical and cross-discipline domain—robotics, ML, and experimental automation—and your software will directly control and monitor systems in the real world. You may not have done all of the things we mention on this posting, but the prospect of learning and owning these technologies excites you.About You • Strong fundamentals: you can design, build, and ship production software end-to-end., • Experience with modern backend development (Python, Go, Rust, or similar)., • Familiarity with concurrent and asynchronous programming, including event loops, cancellation semantics, bounded queues, and task orchestration under failure modes. You know how to handle timeouts, retries, and device-level race conditions., • Comfort with distributed systems realities: timeouts, retries, async/concurrency, partial failure, debugging in production., • Experience designing and operating fault-tolerant distributed systems, where retries, idempotency, dead-letter queues, and safe rollback are all table stakes., • Familiarity with Kubernetes and containerization., • Strong engineering taste: you prioritize correctness, maintainability, and clear interfaces., • Agent capabilities and “tools” (e.g., internal/external API integrations, code execution, scientific literature retrieval, workflow automation)., • Scientific workflow orchestration (e.g., Bayesian optimization loops, experiment scheduling, long-running job execution, retries/idempotency)., • Pipelines for ingesting, storing, and transforming data used by models and LLMs., • Internal platforms that make engineers faster: developer tooling, SDKs, shared services, service templates., • Observability and reliability systems: structured logs, metrics, tracing, debugging workflows (OpenTelemetry, Prometheus/Grafana, etc.)., • Hybrid infra (cloud + on-prem), containerization, orchestration, and infrastructure-as-code.Pluses, • Experience with agentic systems / LLM workflows (LangChain, PydanticAI, tool-calling, context management)., • Infrastructure experience: Docker, Kubernetes, Terraform/CloudFormation, cloud + on-prem deployments., • Experience with CI/CD systems (GitHub Actions, Jenkins, CircleCI) and/or DevSecOps practices., • Experience with embedded protocols (e.g., serial, I²C, Modbus), device virtualization, or microcontroller firmware., • Strong observability experience (Datadog, Prometheus, Grafana, ELK, tracing) ., • Contributions to systems for robotics, automation, or manufacturing infrastructure., • Frontend engineering experience with Svelte, React, or similar frameworks. You’ve built responsive, real-time interfaces and care about state management, testing, and usability. You’ve worked with structured APIs and understand browser performance implications., • Comfort designing reproducible and testable systems for devices that don’t always behave perfectly.What we offer, • A competitive compensation package also includes the best in benefits:, • Medical, dental, and vision insurance for you and your family, covered at 100%, • Mental health and wellness support, • Unlimited PTO and 14+ company holidays per year, • 401K, • Work closely with a team on the cutting edge of AI research. Disclosure Radical AI is committed to equal employment opportunity regardless of race, color, ancestry, national origin, religion, sex, age, sexual orientation, gender identity and expression, marital status, disability, or veteran status.

Job Description About Voyant Photonics Voyant Photonics, based in the heart of New York City, is transforming machine perception with a new class of LiDAR devices that are compact enough to fit in the palm of your hand and powerful enough to measure range, velocity, and reflectivity with unparalleled accuracy. By leveraging cutting-edge silicon photonic chips smaller than your fingertip, we deliver sensors that are not only revolutionary in performance but also affordable enough to integrate into any system. Our technology disrupts the status quo of bulky, expensive, and power-hungry LiDAR systems, making high-precision sensing accessible for widespread adoption in robotics, autonomous vehicles, drones, industrial automation, and beyond. With Voyant, the next generation of machines can see, understand, and navigate the world like never before. Discover how we’re redefining what’s possible by making real products out of cutting edge research in silicon photonics. The Opportunity We are seeking a Senior Engineer with a strong background in Embedded Systems to join our engineering team. In this critical role, you will be instrumental in designing, developing, and optimizing the embedded software interfaces that power our advanced FMCW LiDAR. You will work across the entire product lifecycle, from architecture to implementation, testing, and deployment. If you are passionate about building robust, real-time embedded systems for groundbreaking LiDAR technology and thrive in a collaborative, fast-paced environment, we encourage you to apply. Key Responsibilities * Design, develop, and optimize embedded software and firmware for real-time operation of LiDAR systems * Collaborate closely with hardware engineers, optical engineers, and signal processing experts to define system requirements, integrate hardware and software components seamlessly, and ensure optimal system performance * Develop and implement APIs for both prototypes and products for embedded imaging sensors * Implement 3D data visualization for lidar data from our sensors * Optimize embedded code for performance, memory usage, and power consumption * Contribute to system-level architecture discussions, identifying key trade-offs and proposing innovative solutions. * Design and implement efficient monitoring and control algorithms Required Qualifications * Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field. * Strong proficiency in C/C++ for embedded systems development. * Experience with performant data serialization protocols * Experience with live visualization of complex data sets * Proficiency with version control systems (e.g., Git). Preferred Qualifications * Experience with protocols for inter-component communication (e.g., Ethernet, SPI, UART) * Familiarity with various microcontroller architectures (e.g., ARM Cortex-M/R/A, DSPs) and System-on-Chips (SoCs). * Experience with FPGA/CPLD development (VHDL/Verilog) and hardware description languages is a strong plus. * Experience implementing DSP algorithms in embedded C++ Linux environments * Experience with PCL or ROS2 * Experience with Python for scripting, testing, and data analysis. * Knowledge of sensor fusion techniques. Benefits package * Competitive salary and meaningful equity package * Comprehensive health benefits (Medical, Dental, Vision) * Unlimited PTO and paid company holidays * Team events and company meetups * Hybrid or remote work environment with monthly travel for remote employees. * Complimentary lunch provided daily at our NYC office Equal Opportunity Employer Voyant Photonics is an equal opportunity employer committed to building a diverse and inclusive workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, gender identity or expression, sexual orientation, pregnancy, marital or partnership status, age, national origin, citizenship, veteran or military status, disability, medical condition, genetic information, caregiver status, or any other characteristic protected by law.

Job DescriptionSenior Software Engineer Heat pump and other HVAC failures cost billions in emergency repairs and wasted energy annually, and are managed by an increasingly short-handed labor pool. That’s where we step in: Thalo is transforming the HVAC industry with next-generation sensing and AI-powered intelligence. Our AI-powered platform transforms static assets into self-monitoring, high-performance systems, empowering technicians to shift from reactive fixes to proactive service. Our team has built self-driving cars at Waymo, worked on satellite imagery at Google, designed systems for John Deere, developed space missions for NASA, led manufacturing design for Boom Supersonic jets, and more. We are united by our shared goal of making products that help us leverage the built environment to decarbonize today and accelerate drawdown globally! About the Role: As a Senior Software Engineer at Thalo Labs, you’ll operate as a hands-on builder, working directly with our head of Software Engineering to execute a software vision and roadmap. Software engineering isn’t just a part of what Thalo Labs does, it’s our most important product. You’ll work with our small SWE team and report directly to our Director of SWE to define and drive our product roadmap and integrate ML models into Thalo’s platform. What we offer: • Own and execute Thalo’s software product strategy in partnership with your software engineering peers, and the hardware, leadership, and GTM teams- Architect and develop AI enabled HVAC monitoring and analytics products that deliver automated insights to customers- Research, develop, and implement ML models in production environments - Continuously build and improve software infrastructure for large-scale data ingestion, storage, transformation, and analysis. What you have:

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Bachelor's degree in Civil Engineering, Structural Engineering, Mechanical Engineering, Architectural Engineering, or a related technical field (or equivalent experience). Our mission is to accelerate the advancement of smart building design & construction by providing unique and cleverly engine

Unlike roles at larger firms where you may act as an assistant, this position requires an engineer with "hands-on" experience capable of designing systems independently. Must be highly proficient in AutoCAD and able to design HVAC systems independently rather than as an assistant to a lead

Work at the intersection of design and engineering in a design-driven team. Hands On Design Engineer | NYC Onsite | $200K–$300K + Equity. Hands On Design Engineer | NYC Onsite | $200K–$300K + Equity.

Professional Engineer (PE) will have expertise in electrical systems including electrical distributed power generation, feeds, distribution, lighting, fire alarm, emergency power, UPS, and low voltage systems. The PE is responsible for overseeing the engineering of these systems for major capital pr

Cambridge, MA: $161,800 - $184,600 for Senior AI Engineer McLean, VA: $161,800 - $184,600 for Senior AI Engineer New York, NY: $176,500 - $201,400 for Senior AI Engineer San Francisco, CA: $176,500 - $201,400 for Senior AI Engineer San Jose, CA: $176,500 - $201,400 for Senior AI Engineer Candidates

Masters Degree in Electrical Engineering or other related engineering or scientific field. Bachelor Degree or higher in Electrical Engineering or other related engineering or scientific field. We are seeking an experienced Electrical Engineer to support multiple programs in the Integrated Warfare Sy

Bachelor’s Degree in Electrical Engineering from an ABET-accredited college or university. Prepare detailed engineering reports with clear recommendations for mitigation, labeling, and operational safety. Excellent opportunity for career advancement within a growing mission-critical engineering te

Bachelor's degree or higher in Electrical Engineering, Systems Engineering, Computer Science/Engineering, Physics or related STEM degree with minimum 2 years' related experience. Radar Systems Engineering within Rotary & Mission Systems (RMS) is seeking a candidate to support the design, integration

Bachelor's degree or higher in Electrical Engineering, Systems Engineering, Computer Science/Engineering, Physics or related STEM degree with minimum 5 years' related experience. Advanced degree in Electrical Engineering, Computer Science/Engineering, Physics or equivalent. Mentor early career engin