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$13 - $13/hourpayVideo CapturingIMU (Inertial Measurement Unit)Attention to DetailAbout micro1micro1 connects domain experts to the development of frontier AI models. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. AI labs and enterprises use micro1 to train models and build reliable AI agents through advanced evaluations and reinforcement learning environments. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Our platform identifies and vets top talent through an AI recruiter, enabling high-quality contributions at scale.Our goal is to enable 1 billion people to do meaningful work by applying their expertise to AI. We’ve raised $40M+ in funding, and our AI recruiter has powered over 1 million AI-led interviews as our global network of experts grows into the human intelligence layer for AI. Job Title: Data-Video Generalist Job Type: Contractor Location: Remote - experts based in Alabama, Georgia, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Mississippi, New Hampshire, North Carolina, North Dakota, Oklahoma, Pennsylvania, South Carolina, Tennessee, Texas, Utah, and Wisconsin. Timeline: Applications close on May 22nd at 5 pm PST Job Summary: Join our customers' team as a Data-Video Generalist and play a pivotal role in shaping the future of activity recognition. We are seeking U.S.-based experts to help collect synchronized IMU and video data via smartphones, contributing to next-generation machine learning models. If you are passionate about robotics, detail-oriented, and thrive on consistent, high-quality output, this opportunity is for you. Key Responsibilities: • Capture precise motion data using your smartphone’s sensor suite (IMU) during specified physical tasks., • Supported devices include the iPhone 11 and later, Google Pixel 6 and later, and Samsung Galaxy S21 and later., • Record synchronized video footage to validate and enhance the integrity of collected sensor data., • Follow detailed technical protocols to ensure all submissions meet strict quality, labeling, and determinism standards., • Consistently contribute a minimum of 10 hours of approved video data per week throughout the project duration., • Communicate effectively with the team to clarify guidelines and provide feedback on data collection processes., • Ensure timely and reliable delivery of data outputs in accordance with project milestones., • Participate in required device compatibility checks and a custom AI-enabled interview process. Required Skills and Qualifications: • Access to a head strap to be able to record both hands within 48 hours of the start date., • Demonstrated adherence to standardized protocols and rigorous technical instructions., • Proven ability to manage and deliver reliable output in a fast-paced, data-driven environment., • Strong written and verbal communication skills; ability to document work and collaborate remotely., • Experience with mobile devices and a high level of digital literacy., • Physical capability to perform repetitive movement tasks safely and accurately., • Access to a compatible smartphone for high-fidelity sensor and video data collection., • Eligibility to work in designated U.S. states. Compensation Structure Compensation is output-based; experts are paid per recorded video that meets the project specifications. The time required to complete work may vary depending on the expert’s experience and workflow. Minimum submission requirements apply: videos must be at a specific length defined by the project, and experts must submit a minimum of 10 to 15 hours of video per week. Start Timeline & Availability We typically fill roles within 48 hours, so we’re looking for teammates who are ready to jump in. If selected, we’d love for you to start your first task as soon as you move forward with your application. The expectation is to begin within ~24 hours of completing onboarding. Tasks for this project must be performed from a mobile device (smartphone or tablet). Experts will record their workflow directly from the mobile device while completing tasks. Head Strap / Wearable: Tasks for this project must be performed using a head-mounted camera (head strap setup). Experts will record first-person video of physical tasks. The required head strap and any accompanying equipment specifications will be shared during onboarding.

TS/SCI with Polygraphs required.CSG is seeking analytic development skills to support a highly visible cyber sensor and analytic.This opportunity will allow for telework capabilities!.General knowledge and understanding of techniques, tools, behaviors and strategies used in.Experience with passive a

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ You will... • Be part of a team of multidisciplinary Research Scientists and Engineers working on building a cutting-edge offline perception and auto-labelling system leveraging computer vision, and machine learning., • Manage the end-to-end orchestration of the large-scale auto-labelling training, evaluation and automation eco-system., • Architect and scale the pipeline to handle large-scale data and user requests using distributed computing frameworks., • Collaborate with ML researchers and engineers to seamlessly deploy new architectures into the production environment. Qualifications: • Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study., • 3+ years of experience developing solutions in ML systems or the ML software stack., • Deep understanding of ML system architecture, performance analysis, and profiling tools to optimize complex workloads., • Experience with the end-to-end productionization of deep learning models, particularly large-scale online inference., • Proficient in Python with a track record of writing high-quality, well-structured, and well-tested "production-grade" code., • Open-minded and collaborative team player with the willingness to help others. Bonus/nice to have: • Familiarity with 3D data (LIDAR/Point Clouds) and multi-modal sensor fusion perception models., • Experience working with large Vision-Language Models (VLMs) The US yearly salary range for this role is: $170,000 - $220,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits: • Competitive compensation and equity awards., • Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only)., • Unlimited Vacation., • Flexible hours and Work from Home support., • Daily drinks, snacks and catered meals (when in office)., • Regularly scheduled team building activities and social events both on-site, off-site & virtually., • As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Salary: $80,000 – $120,000 Is this your perfect fit? • Are you a hands-on operations leader who thrives in a manufacturing environment—not behind a desk?, • This role is ideal for someone who enjoys solving mechanical challenges, leading from the floor, and building structure within a growing operation., • If you have a strong maintenance mindset and want to play a key role in stabilizing and scaling a facility during a major transition, this could be a great opportunity!, • This position will be located at our client's facility in Carlstadt, N.J. What your future day will look like: • Lead daily operations across production and warehouse teams, setting priorities and driving accountability, • Troubleshoot and repair mechanical equipment such as mixers, pumps, tanks, conveyors, and filling systems, • Support electrical troubleshooting (motor controls, sensors, panels) and coordinate with licensed electricians as needed, • Implement and manage the preventive maintenance program, including tracking downtime, repairs, and parts usage, • Maintain calibration schedules for instrumentation (temperature, pressure, flow, and weighing systems), • Act as the on-site lead for equipment installs, upgrades, and capital projects, • Support ongoing in-sourcing efforts by identifying facility gaps and helping implement scalable solutions, • Step in on the floor as needed—assist with batching, material handling, shipping/receiving, and forklift operation, • Enforce safety programs including LOTO, HazCom, PPE, and OSHA compliance, • Ensure quality standards are met, including batch documentation, deviation resolution, and product release readiness, • Oversee inventory accuracy, warehouse organization, and proper hazardous material handling and shipping, • Utilize ERP systems to manage batch records, inventory transactions, and reporting Benefits Offered: • Company offers a competitive package including health insurance, 401K and PTO Type: Direct Hire To be a champion in this role, you will need: • 5+ years of experience in manufacturing, industrial, or chemical operations, • 2+ years in a leadership or supervisory role, • Strong hands-on mechanical skills with the ability to personally troubleshoot and repair industrial equipment, • Working knowledge of electrical systems, including motor controls, panels, and sensor wiring, • Experience managing or executing a preventive maintenance program, • • Familiarity with OSHA standards (LOTO, HazCom, PPE) in a manufacturing environment, • Ability to lead and develop a small, cross-functional team, • Comfort working on the production floor and stepping into operational roles as needed, • Experience with inventory systems or ERP platforms (Datacor or similar preferred), • Forklift experience (or ability to obtain certification quickly) We know you are more than a resume and understand your next career move needs to be the right fit! If this is your first time considering Godshall as your trusted partner, welcome! Once you have applied, we will review your experience and skills. You will then hear back quickly with the next steps. If you have already spoken with Godshall, please reach out to your recruiter. We will happily update your file and make sure we are considering you for all roles your experience and skills are a perfect fit for. Godshall & Godshall Personnel Consultants, Inc. is an equal opportunity employer and gives consideration for employment to qualified applicants without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, status as a parent or protected veteran status.

Experience working with autonomous vehicle sensor data (e. This is a unique opportunity to make a meaningful impact at Motional by enhancing our data platform and accelerating development speed for our industry-leading autonomous vehicle metrics and capabilities ecosystem. Motional is a driverless t

Apiphany is a pioneering foundational AI company for physical product development. We empower global innovators in automotive, aerospace, medtech, and energy to transform mountains of unstructured technical data into real-time, actionable insights. Backed by world-class investors from Markforged, Databricks, GM, and Character, our mission is to revolutionize how engineering decisions are made, turning complexity into clarity for the world’s top manufacturers. Our models are built for the complexities of engineering and manufacturing. Our models understand physics principles, design specifications, and program constraints. We’re a small, elite team of builders from Stanford, Berkeley, MIT, UW, and CMU, alongside industry leaders from GM, Ford, and Genesis Therapeutics. We’re passionate about transforming hard-tech and building a category-defining company together. Develop AI-powered manufacturing applications: Build full-stack solutions that integrate real-time AI (Artificial Intelligence) models for predictive maintenance, anomaly detection, defect classification, and process optimization. Engineer for complexity and scale: Design and implement robust, distributed systems that handle large-scale data pipelines, streaming industrial sensor data, and real-time AI inference. Integrate with factory-floor systems: Work with Industrial Internet of Thing (IIoT), Manufacturing Execution System (MES), Supervisory Control and Data Acquisition (SCADA), Programmable Logic Controls (PLCs), and edge computing to deploy AI models that interact with manufacturing processes in real time. Bridge AI and human decision-making: Develop intuitive, high-performance interfaces that allow operators, engineers, and managers to interpret AI-driven insights and take action. Own the full-stack: Build and optimize front-end applications (React, TypeScript, etc.) and backend services (Python, Node.js, or similar), ensuring seamless end-to-end experiences. Ship in real-world production environments: Deploy software that runs in factories, on edge devices, or in the cloud, working within the constraints of industrial infrastructure. Iterate quickly in a high-uncertainty domain: Prototype, test, and refine solutions based on direct user feedback and real-world performance data. Bachelor’s degree in computer science, information technology, software engineering, or a related field. One year of experience as a Software Engineer or Developer or related that includes the following: 0-to-1 product development in building and shipping software from conception, navigating uncertainty and scaling from Minimum Viable Product (MVP) to production. Full-stack engineering, including front-end frameworks (React, TypeScript, or similar) and backend development (Python, Node.js, or similar). Industrial automation, predictive maintenance, process optimization, quality control, or smart factory technologies. AI/ML deployment, including integrating ML models into production applications using tools such as TensorFlow, PyTorch, or ONNX. Working with industrial data, including time-series sensor data, machine telemetry, and real-time control systems. Cloud and edge computing, including deploying applications on AWS, GCP, or Azure, and running AI models on edge devices. Salary: $136,000 – $160,000/year

At Tiger Data, formerly Timescale, we empower developers and businesses with the fastest PostgreSQL platform designed for transactional, analytical, and agentic workloads. Trusted globally by thousands of organizations, Tiger accelerates real-time insights, drives intelligent applications, and powers critical infrastructure at scale. As a globally distributed, remote-first team committed to direct communication, accountability, and collaborative excellence, we're shaping the future of data infrastructure, built for speed, flexibility, and simplicity. At Tiger Data, we turn PostgreSQL into the time-series data backbone for the physical world, from a single sensor to petabytes of machine and operational data,, and cloud providers (AWS, Azure, GCP) are one of the most important levers for scaling that impact. We’re hiring a Head of Cloud Alliances to own and define our hyperscaler partnership end-to-end. From how we show up in the ecosystem to how we drive real revenue through co-sell and marketplace. This is a builder role reporting into our VP of Product & Revenue. You’ll be responsible for turning cloud providers into a true growth engine. We’re not looking for someone to “manage partnerships.” We’re looking for someone who understands how AWS, Azure, and GCP actually work, how decisions get made, how field teams think, and how to position a product so it wins inside that ecosystem. You’ll start with AWS. When we get that right, you will build our Azure and GCP partnerships Location: This role is remote. We are open to candidates based in the United States. What you will be responsible for in this role: Owning and executing the AWS partnership strategy across co-sell, marketplace, and partner programs Defining how TigerData positions itself within AWS—including product alignment, messaging, and field engagement Building and scaling co-sell motions with AWS account teams and solution architects to drive qualified pipeline and revenue Driving AWS Marketplace strategy, including listing optimization, private offers, and deal acceleration Establishing a clear prioritization framework for AWS initiatives—what we invest in, what we ignore, and why Building deep, trust-based relationships with key stakeholders across AWS (partner org, field, product teams) Partnering with Product & Engineering to influence roadmap and integrations that strengthen our AWS position Aligning Sales, Marketing, and Product around a cohesive AWS-driven GTM motion Owning partner-sourced and partner-influenced revenue metrics and holding the company accountable to them Managing and mentoring a lean team (starting with 1 direct report) while staying deeply hands-on Identifying how AI within AWS (e.g., Bedrock, data/ML ecosystem) intersects with our product and partnership strategy Expanding into Azure/GCP eventually over time. You could be a great fit if you: Have 8+ years of experience in cloud partnerships, alliances, or strategic BD, ideally in infrastructure, data, or developer tools Have deep, first-hand experience working with AWS. You understand how partner, field, and sales motions actually work Have built or significantly scaled AWS co-sell and/or marketplace motions that drove measurable revenue Define clear targets for partner-led and partner-influenced revenue, track progress on a weekly basis, and take full ownership and accountability for delivering against those goals Are equally strong in strategy and execution. You can define the plan and also get deals across the finish line Have experience working with technical products (databases, data infrastructure, IoT, or similar) Can build credibility with both technical stakeholders and AWS business teams Are comfortable influencing exec-level stakeholders internally and externally Thrive in ambiguity and know how to prioritize high-leverage opportunities without overbuilding the process Have a clear perspective on how AI is changing the AWS ecosystem and how companies should adapt You might not be a great fit if: You’ve primarily worked on partner program execution rather than owning strategy and outcomes You haven’t worked closely with AWS field teams or driven co-sell deals directly You prefer managing large teams over being a hands-on operator You’re looking for a clearly defined playbook instead of building one We respond to every applicant. We review applications fairly and objectively, and shortlist based on relevant skills and experience. We ensure clear and timely communication throughout your candidate journey. We maintain a rigorous interview process with a high bar, designed to give you the opportunity to meet various team members you'll collaborate with across our organization. Tiger Data, formerly Timescale, sets the standard as the fastest PostgreSQL platform for modern workloads. Trusted by more than 2,000 customers across 25+ countries and powering over 3 million active databases, we enable developers and organizations to build real-time, intelligent applications at scale. Backed by $180 million from top-tier investors, Tiger Data is building the new standard for data infrastructure, built on PostgreSQL, designed for the future. 👉 👉 Want to get a feel for how we work and what we value? Check out our blog post:_ We embrace diversity, curiosity, and collaboration. Whether debating the perfect chicken nugget crunch 🍗, sharing workout routines 💪, or discussing your favorite plants 🌱 and pets 🐾, you'll find your community here. We don't require previous experience with our tech stack, but enthusiasm for learning is key. Our technologies include PostgreSQL, Tiger Cloud, AWS, Go, Docker, Kubernetes, Python, and innovative features like Hypertables, Hypercore, vector search, and real-time analytics. Learn more at or follow us on Twitter (Please note that benefits may vary based on country.) Flexible PTO and comprehensive family leave Fridays off in August 😎 Fully remote opportunities globally Stock options for long-term growth Monthly WiFi stipend Professional development and educational resources 📚 Premium insurance options for you and your family (US-based employees) Ready to join the future of PostgreSQL? We can’t wait to meet you. 🚀🐯

Why work at Nebius Nebius is leading a new era in cloud computing to serve the global AI economy. We create the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered in Amsterdam and listed on Nasdaq, Nebius has a global footprint with R&D hubs across Europe, North America, and Israel. The team of over 800 employees includes more than 400 highly skilled engineers with deep expertise across hardware and software engineering, as well as an in-house AI R&D team. Nebius is building the cloud infrastructure that will power the next generation of Physical AI—robotics, autonomous systems, simulation/world models, and embodied intelligence operating in the real world. The Principal, Business Development – Physical AI is a strategic market-creation role responsible for developing and driving the Go-To-Market (GTM) strategy for the entire Physical AI ecosystem. You will act as the founding commercial lead, bridging the gap between our infrastructure and the three pillars of the industry: Model Builders (Foundation Models), Robot Builders (Humanoids/Autonomous Systems), and ISVs (Simulation/Data Tools). You will own the ecosystem strategy, ensuring Nebius becomes the default infrastructure for embodied intelligence. Operating at the intersection of supply (Nebius technology) and demand (The Physical AI Ecosystem), you will architect the strategy for winning developer mindshare, validate it through "Lighthouse" wins, and scale it by enabling the broader field. This is a definitive "Zero to One" opportunity to define the commercial strategy for a new category of cloud infrastructure from the ground up. You’re welcome to work remotely from the United States (SF Bay Area, CA & Austin, TX Preferred) Your responsibilities will include: • Ecosystem GTM Strategy: Create and own the comprehensive Go-To-Market strategy for the Physical AI vertical. Define the segmentation, targeting, and positioning for Model Builders, Robot Builders, and ISVs, ensuring we have a cohesive narrative for the entire value chain., • Lighthouse Deal Execution: Identify and secure relationships with the top 10 most innovative companies in the ecosystem (e.g., Foundation Model builders, Humanoid startups), converting them into "Design Partners" whose successvalidates our platform., • Drive Ecosystem Revenue: Own the long-term revenue trajectory of the Physical AI domain, ensuring that early "Lighthouse" technical wins translate into massive, high-volume compute consumption as our customers scale their training and simulation workloads., • Field Enablement: Act as a force multiplier for the sales organization by codifying your market learnings into a scalable "Physical AI Playbook." Create battle cards, training modules, and positioning guides to enable the core Sales, Marketing, and Partnership teams to identify and close opportunities independently., • ISV & Partner Alignment: Map the critical software stack (Simulation platforms, Data Labeling, Middleware) and structure partnerships that create a frictionless developer experience. Ensure our GTM strategy aligns with these partners to drive co-sell motions., • Product Signal: Serve as the primary sensor for Product & Engineering, synthesizing complex customer requirements regarding simulation, synthetic data, and reinforcement learning into clear product signals., • Orchestrate Joint Value: Structure "first-of-their-kind" partnerships and design partner agreements that serve as templates for the rest of the organization, moving beyond standard cloud consumption contracts., • Ecosystem Evangelism: Evangelize our vision at industry events (e.g., CVPR, CoRL, ICRA) and executive briefings, positioning Nebius not just as a vendor, but as a fellow innovator in the stack., • Feedback Loops: Maintain structured internal feedback loops to ensure customer learnings, friction points, and unmet needs are tracked, communicated, and acted upon by leadership. We expect you to have: • 7+ years of experience in business development, strategic partnerships, or product strategy within Cloud, AI, or Robotics., • GTM Strategy Experience: Proven ability to define a strategy from scratch—segmenting a market, defining the pitch, and building the playbook for others to follow., • Market Maker Capacity: Experience taking new, complex technologies and finding their first foothold with technical early adopters before a playbook existed., • Deep Domain Fluency: You speak the language of the builders. You understand the difference between Sim2Real gaps, foundation model training, and inference latency. You know the key players (startups and ISVs) in the modern robotics stack., • Enablement Mindset: You enjoy teaching and scaling knowledge. You can take complex technical wins and distill them into simple, repeatable sales motions for a broader team., • Cross-Functional Orchestration: Proven track record of working across Sales, Marketing, Product Marketing, and Partnerships to align distinct teams behind a unified GTM strategy and execution plan., • Startup DNA: Experience working with (or within) high-growth, venture-backed startups. You understand the urgency, the technical depth, and the pivot-ready nature of this customer base., • Communication: Strong executive presence and communication skills, capable of holding your own with VC-backed founders and CTOs., • Comfort in Ambiguity: Experience operating in fast-moving environments where the sales motion is not yet defined and requires real-time iteration. Why Nebius: • Market Creation: You aren't just selling a commodity; you are validating and creating the market for specialized Physical AI infrastructure., • Strategic Impact: Operate with real influence over product direction, company-wide sales strategy, and ecosystem development., • Frontier Technology: Work at the bleeding edge of embodied intelligence, engaging with the companies defining the future of the physical world., • High Leverage: Focus on the top 10% of transformative customers and strategic partners that drive the next 90% of growth, • Mission: Help define how intelligence moves from the data center into the physical world. Key Employee Benefits: • Health Insurance: 100% company-paid medical, dental, and vision coverage for employees and families., • 401(k) Plan: Up to 4% company match with immediate vesting., • Parental Leave: 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers., • Remote Work Reimbursement: Up to $85/month for mobile and internet., • Disability & Life Insurance: Company-paid short-term, long-term, and life insurance coverage. Compensation We offer competitive salaries, ranging from $265k - $315k OTE (On Target Earnings) and equity based on your experience, skills, and location. Join Nebius Today! If you’re passionate about pushing the boundaries of AI infrastructure and want to be part of a team that’s shaping the future of AI, we’d love to hear from you. Apply now and become a driving force in our global mission. What we offer • Competitive salary and comprehensive benefits package., • Opportunities for professional growth within Nebius., • Flexible working arrangements., • A dynamic and collaborative work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us!

About Us: HavocAI is an innovative defense technology company making scalable maritime autonomy a reality. We are pioneering an end-to-end solution for planning, tasking and control of uncrewed surface vessels (USVs). As we continue to quickly grow, we are looking for motivated individuals that are inspired to work within an extremely energetic, creative, and innovative team that is passionate about maritime robotics and exploring the open ocean. We work in a highly dynamic environment where collaboration and idea sharing are a way of life. About the Role: We are seeking an Embedded Systems Software Engineer focused on Payload Integration for the integration, control, and networking of a wide range of sensors and communications payloads onboard our autonomous vessels. This includes working with camera systems (including ONVIF PTZ, Stereo Cameras, LWIR, etc.), radar, AIS, software-defined radios (SDRs), and networked data transport via MQTT, TCP/IP, and streaming platforms like MediaMTX. This role will help define the architecture and software that connects these systems to our autonomy stack and ensures reliable, real-time performance in field deployments. Key Responsibilities: • Develop embedded software and middleware to interface with and control payload systems such as:, • ONVIF pan/tilt/zoom (PTZ) cameras, • Maritime radar systems, • AIS transponders and receivers, • Software-defined radios (SDRs), • Implement and maintain communication over IP-based protocols (TCP/UDP, MQTT, RTSP) and integrate media transport systems such as MediaMTX., • Design abstraction layers to make sensor data available to autonomy systems, both onboard and remote., • Work closely with autonomy, networking, and hardware teams to ensure seamless integration and system robustness., • Lead field testing and validation of new payload configurations and upgrades., • Document payload interface specifications, deployment configurations, and software APIs. Qualifications: • Bachelor's degree in Computer Engineering, Electrical Engineering, or related field., • Strong embedded development experience with C/C++ on ARM platforms (e.g., STM32) and Linux-based systems., • Proven experience integrating networked sensors and streaming media payloads., • Familiarity with ONVIF protocols and IP camera control., • Proficiency with TCP/IP, MQTT, and media protocols like RTSP/RTMP., • Comfortable working with radar, SDRs, or similar RF-based systems., • Experience with Linux networking, shell scripting, and system debugging., • Must be a U.S. Citizen and eligible to obtain a Secret Clearance. Preferred Skills: • Familiarity with marine communication systems (CAN, NMEA2000)., • Familiarity with media streaming servers., • Experience with ROS2, DDS, or similar pub/sub frameworks., • Experience with autonomous systems and real-world sensor integration., • Field experiences deploying complex sensor platforms in marine or rugged environments. Location: • Greater Boston Area Compensation and Benefits: • The target salary range for this position is $120,000 - $180,000, • 100% Employer paid Health, Dental and Vision Insurance for you and your families, • Ability to participate in the companies 401k program, • Unlimited PTO policy with an enforced 2 week minimum, • Equity Package, • Work / Home Office Stipend, • Global Entry Re-Imbursement, • 16 Week Paid Parental Leave, • Monthly Health and Wellness Stipend Our Values: • Innovation: We are driven to break new ground. Every day presents an opportunity to challenge the status quo, think boldly, and deliver advanced solutions that transform the future of defense technology., • Integrity: We hold ourselves to the highest ethical standards, ensuring transparency, accountability, and trust in all our actions and partnerships., • Mission-Driven: We are focused on achieving impactful outcomes that align with our core mission—protecting lives through innovation., • Forward-Leaning: We continuously seek out new opportunities and remain at the forefront of technological advancements. We embrace change and anticipate the challenges of tomorrow with confidence and creativity., • Ownership of All Tasks: At HavocAI, no problem is too complex or too trivial. We believe that greatness comes from tackling the hardest challenges, but also in handling the smallest, sometimes thankless, tasks with the same level of commitment and care., • Servant Leadership: We lead by serving others, whether it’s supporting our employees, partners, or the broader community. Empowering those around us is key to achieving long-term success and making a lasting impact. HavocAI is an Equal Opportunity Employer and is committed to creating an inclusive and diverse workplace. We welcome applicants from all backgrounds and do not discriminate based on race, color, religion, gender, sexual orientation, age, national origin, disability, veteran status, or any other legally protected status.

About the Company At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. _, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet The Team: Torc’s Data Production team is a core enabler of our AV3.0 strategy. The team builds and operates the high‑scale data pipelines that transform raw multimodal sensor logs into structured, training‑ready datasets for machine learning, simulation, autonomy development, analytics, and system validation. We collaborate across vehicle integration, data collection, data systems, perception, ML, and release engineering to operationalize the full data loop that powers Torc’s autonomous‑driving stack. What You’ll Do: • Design and develop high‑performance data converters for multi‑sensor autonomous‑driving data (camera, lidar, radar), ensuring accurate time alignment and robust handling of raw sensor logs., • Design, build, and optimize large‑scale ingestion and transformation pipelines (ETL/ELT) capable of processing petabyte‑scale autonomous‑driving sensor data, and automate them for reliable, production‑grade deployment., • Work with data formats such as ROS bags, MCAP, and custom binary encodings; establish standards for schema evolution and metadata integrity., • Implement automated data validation, quality checks, and lineage tracking to ensure reliability of production datasets., • Collaborate closely with ML, annotation, simulation, and perception teams to ensure cross‑team ownership of data products and deliver datasets that are consistent, semantically correct, and ready for downstream consumption., • Proactively assess current capabilities to identify areas for improvement proposing solutions that align with core strategy and operation. What You’ll Need to Succeed: • Bachelor's or Master's degree in STEM related field with 5+ years of working experience with cloud technologies & data operations., • Experience building or maintaining converters, decoders, or transformation pipelines for sensor‑rich data (e.g., lidar point clouds, camera streams, radar detections)., • Understanding of multimodal data synchronization, timestamp alignment, and multi‑sensor calibration workflows., • Experience with distributed compute frameworks (Ray, Spark, Beam) and cloud‑based platforms like Anyscale and Databricks for large‑scale data‑pipeline execution., • Experience with high‑performance computing techniques, including vectorized data processing (NumPy), multithreaded or parallel execution, and GPU‑accelerated compute for optimizing large‑scale sensor‑data workloads., • Proficiency in Python, SQL, Shell Scripting., • Experience with major cloud providers like AWS, Google Cloud Platform (GCP) or Azure., • Operates with broad autonomy, leading complex technical work and driving alignment across team boundaries., • Owns key data‑pipeline and converter solutions end‑to‑end, setting direction and building consensus., • Provides project leadership and mentors less‑experienced engineers to ensure high‑quality execution. Bonus Points! • Working experience with design patterns & frameworks development for ML & operational data pipelines in the cloud, • Familiarity with 3D labeling and CV annotation workflows., • Experience optimizing I/O‑heavy workloads, including columnar formats (Parquet, Arrow)., • Knowledge of orchestration tools (Airflow, Argo, Prefect)., • Hands‑on experience designing CI/CD automation for data services, including GitHub Actions, Databricks pipelines, and cloud‑native deployment workflows, • Background in Agile Engineering Practices. Perks of Being a Full-time Torc’r Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers: • A competitive compensation package that includes a bonus component and stock options, • 100% paid medical, dental, and vision premiums for full-time employees, • 401K plan with a 6% employer match, • Flexibility in schedule and generous paid vacation (available immediately after start date), • AD+D and Life Insurance At Torc, we’re committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc’rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don’t meet 100% of the qualifications listed for this opportunity, we encourage you to apply. Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits Job ID: R-102555 Hiring Range for Job Opening US Pay Range $160,800 - $193,000 USD

Familiarity with robotics or Physical AI workflows: simulation, synthetic data, training pipelines, sensor data, deployment constraints, latency/perf needs. Experience explaining complex technical concepts to different audiences through writing, speaking, or training. Equip solutions teams with tech

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! This is a rare opportunity to lead foundational work at the intersection of large-scale pretraining and embodied AI. You’ll shape how Wayve curates and experiments with data to pretrain the next generation of multi-modal foundation models for autonomy. Working at the frontier of a still-undefined field, you’ll collaborate with research and engineering teams to define what “good data” looks like for embodied systems — and work with engineering teams to build the infrastructure to scale it. Your work will directly influence the performance, generalization, and capabilities of Wayve’s AI stack. Key responsibilities: • Lead data curation, enrichment, and filtering efforts for large-scale pretraining of embodied models, • Build and manage distributed data processing and ingestion pipelines across modalities, • Partner with research teams to run data-centric experiments and influence model training strategy, • Identify, integrate, and leverage third-party datasets to enhance pretraining and evaluation, • Manage and mentor a team of engineers and data scientists to deliver scientific and technical impact In order to set you up for success as a Tech Lead / Tech Lead Manager at Wayve, we’re looking for the following skills and experience: • Leadership in data-centric AI: Experience leading research or engineering teams focused on dataset curation, filtering, or enrichment at scale, particularly for large-scale model pretraining., • Contributions to data benchmarks or tools: Involvement in projects like DataComp, LAION, DINO, MOLMO, or equivalent initiatives that define or evaluate pretraining dataset quality., • Deep understanding of distributed data processing: Strong working knowledge of frameworks such as Ray, Spark, Dask, or equivalent, and designing scalable, fault-tolerant data pipelines., • Hands-on deep learning expertise: Strong proficiency in PyTorch and a solid grasp of how data quality, distribution, and structure impact training dynamics and model generalisation., • Experimental mindset: Demonstrated ability to run and interpret data-centric experiments (e.g., small-scale trials, ablations) to inform large-scale model training., • Collaboration with research: Experience working closely with ML researchers and contributing to experimental design, pretraining strategies, or evaluation design., • Minimum 5 years of relevant industry experience: Including at least several years in data-heavy, model-driven environments involving deep learning at scale., • Track record of research impact: Publications in top-tier conferences such as NeurIPS, ICML, CVPR, ICCV, CoRL, or equivalent, especially in data-centric learning, representation learning, or self-supervised learning., • People management experience: Track record managing ~5 direct reports in a research or research-leaning engineering environment; skilled in team development, prioritization, and technical alignment., • Experience with multi-modal or embodied systems: Familiarity with datasets involving video, language, lidar, radar and generally sensor fusion or embodied perception and control., • Tooling and infrastructure know-how: Familiarity with modern data versioning, annotation, and orchestration tools (e.g., Weights & Biases, ClearML, Labelbox, Airflow, Metaflow, etc.)., • Autonomous systems exposure: While prior AV or robotics experience is not required, a demonstrated interest in embodied intelligence or real-world agent learning is a plus., • Systems thinking and data-product intuition: Ability to reason about upstream data decisions and their downstream effects on models, infrastructure, and product goals., • Attractive compensation with salary and equity, • Immersion in a team of world-class researchers, engineers and entrepreneurs, • A unique position to shape the future of autonomy and tackle the biggest challenge of our time, • Bespoke learning and development opportunities, • Relocation support with visa sponsorship, • Flexible working hours - we trust you to do your job well, at times that suit you and your time, • Benefits such as an onsite chef, workplace nursery scheme, private health insurance, therapy, daily yoga, onsite bar, large social budgets, unlimited L&D requests, enhanced parental leave, and more! This is a full-time role based in our office in Sunnyvale. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

Robotics will have a massive positive impact on the world economy and global human productivity over the coming decade. At Foxglove, we're excited for this future, and we're building powerful open source and commercial tools to accelerate it. We're an experienced team of independent thinkers, with a passion for creating high quality products. We're looking for self-motivated and fast-learning individuals to join our mission. Foxglove is a robotics observability and visualization platform. We manage and provide access to large amounts of data across both our hosted platform and customer sites. We’re seeking a highly skilled product and Rust focused Software Engineer with professional experience delivering streaming and analytic workloads for robotics data. You’ll work with other engineers to design and develop our backend services, data processing pipelines, and interfaces. Foxglove is a remote-friendly company, with employees spread across many locations. We meet daily to connect socially, brainstorm, and share progress. For this position, we're looking for someone within 3 hours of Australian Eastern Time or Pacific Time Zone (US) with the ability to overlap 3+ hours with Pacific Time Zone (US). Ingesting massive volumes of sensor data through both batch and realtime offload Providing low-latency random-access (in device, time, sensors) playback over massive volumes of live or recorded data Multi-cloud architecture (we deploy in customer cloud accounts across GCP/AWS/Azure) Offloading data from remote devices in network constrained environments Building systems to manage petabytes of multi-modal data reliably and efficiently Our technical stack includes: Ingestion, streaming, and other compute services in Rust and Typescript PostgreSQL Managed Kubernetes environments in GCP Customer deployments in Azure and AWS Endpoint software on customer robots written in Rust 6+ years experience writing production software 2+ years experience using Rust professionally Experience writing highly performant, memory-efficient code Experience with binary data serialization or network communication protocols Experience shipping software in network-constrained environments Passion for building technical tools with engineers as the primary users Comfortable participating in on-call rotations Excellent written & verbal communication skills Ability to thrive in a fast-paced, small team environment Bonus points: Experience in robotics or autonomous vehicles Experience with public cloud services such as AWS, GCP, Azure, and/or Kubernetes Work remotely $400 AUD monthly remote budget to build your personal workspace Competitive equity grant in a Series B company 4 weeks vacation, plus holidays and winter break All expenses paid company off-sites 1-2× per year Impact: Own growth at a fast-growing, high-leverage moment for the company. Mission: Accelerate the development of the next generation of robotics and embodied AI. Team: Work with world-class engineers, designers, and researchers passionate about open-source and developer tools. Ownership: Drive initiatives end-to-end, with high autonomy and visibility.

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: _ The Localization team at Waabi is responsible for answering one of the most critical questions in autonomous driving: exactly where is the vehicle right now? As a Senior or Staff Software Engineer on the Localization team, you will be a domain expert architecting the highly precise, robust state estimation systems that keep our robotaxis and 80,000lb trucks safely on the road. You will design algorithms that seamlessly fuse data across a complex sensor suite to provide real-time, centimeter-accurate pose estimation, even in degraded or GPS-denied environments. You will collaborate with world-renowned engineers and scientists to merge traditional robotics state estimation with Waabi's AI-first approach. You will... • Act as a deep domain expert in state estimation, pushing the boundaries of what is possible in real-time vehicle localization., • Design, implement, and optimize robust algorithms for multi-sensor fusion leveraging IMU, LiDAR, Radar, Camera, GNSS, wheel encoders, etc., • Architect and develop mathematical models to be used in factor graph optimization, Kalman filters, etc., • Develop highly optimized, low-latency Rust code that runs directly on the vehicle's various compute devices in real-time., • Partner with the Perception and Mapping teams to tightly couple map data and semantic landmarks into the localization pipeline., • Build rigorous evaluation frameworks to measure localization accuracy, integrity, fault tolerance across millions of miles in Waabi World (our simulation platform) and on physical test tracks. Qualifications: • BS, MS, or PhD in Robotics, Computer Science, Aerospace/Electrical Engineering, or related field, with a minimum for 5 years of industry experience., • Deep, rigorous domain expertise in probabilistic robotics, state estimation, and 3D geometry (Gaussian estimation, filtering, smoothing, and mapping)., • Proven experience building and optimizing online and/or offline Simultaneous Localization and Mapping (SLAM) systems, including deep knowledge of point-cloud registration algorithms (e.g. ICP)., • Extensive hands-on experience processing and fusing data from physical sensors (IMU, LiDAR, Radar, GNSS, etc.)., • Exceptional systems-level programming skills in modern C++ and/or Rust, with a strong understanding of memory management, concurrency, and real-time computing constraints., • Proficiency in python for data analysis, prototyping, and tooling., • Strong mathematical foundation in linear algebra, calculus, and probability theory., • A proven track record of deploying complex state estimation algorithms onto physical robots or autonomous vehicles operating in the real world. Bonus/nice to have: • Familiarity with industry-standard optimization libraries (e.g., GTSAM, Ceres Solver, g2o)., • Experience with "learned localization" - applying deep learning and AI/ML models to improve traditional state estimation and feature matching., • Experience with high-speed highway autonomous driving constraints.The US yearly salary range for this role is: $141,000 - $242,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus. Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Ditto: Ditto is redefining how data moves at the edge. Our mission is to make it seamless for developers to build resilient, real-time applications, regardless of network conditions. Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ensures devices stay connected and data stays consistent, even without internet. With more than $145 million in funding and trusted by organizations like Chick-fil-A, Delta Airlines, and the U.S. military, Ditto powers mission-critical experiences across aviation, retail, travel, hospitality, defense, and more. As a globally distributed, fast-growing startup, we’re committed to building a diverse and inclusive team that reflects the wide range of perspectives needed to solve the world’s hardest connectivity problems. As a Forward Deployed Engineer (FDE), you are the technical tip of the spear. FDEs are elite, versatile engineers who work shoulder-to-shoulder with our most critical users to solve complex challenges in real time. Your primary mission is to radically decrease the time-to-value of our software by integrating it directly into the user's operational environment. Because you see firsthand how our technology performs in the wild, you will also act as a crucial conduit, feeding technical insights and feature requirements back to our core product engineering team. This role requires a highly adaptable problem-solver who is comfortable moving fast, navigating ambiguity, and figuring things out quickly in high-stakes environments. Integrate with Robotic Platforms: Lead the on-site software integration of our platform with unmanned ground, aerial, and maritime systems, building reliable data bridges between our synchronization layer and robotic autonomy stacks. Develop on ROS2 and DDS Middleware: Architect, build, and troubleshoot software nodes within ROS2frameworks, leveraging DDS (Data Distribution Service) for real-time, publish-subscribe communication between robotic subsystems and our core platform. Implement MAVLink Integrations: Build and optimize MAVLink-based communication pipelines for telemetry, command, and control of unmanned aerial systems (UAS), ensuring reliable data exchange between our platform and autopilot firmware. Solve Problems in Real-Time: Act as the first line of technical defense, rapidly diagnosing and resolving software, sensor, and communication issues on robotic platforms as they arise during field testing and live operations. Bridge the Gap: Translate the unique realities of robotic systems integration—sensor noise, real-time constraints, autonomy edge cases—into actionable technical requirements for the core product development team. Clearance Requirement: Must hold an active Secret clearance (Due to federal security clearance requirements, U.S. Citizenship is strictly required for this role). 5+ years of experience in robotics software engineering, autonomous systems development, or related fields. This includes hands-on experience developing, integrating, and testing software on physical robotic platforms (ground, aerial, or maritime). 2+ years of technical experience working with ROS2 (Robot Operating System 2), including node development, lifecycle management, launch files, and real-time communication via DDS middleware. Prior experience with MAVLink protocol for UAS telemetry and command/control, including integration with autopilot systems (e.g., PX4, ArduPilot) and ground control stations. Familiarity with motion planning concepts and algorithms, including path planning, trajectory optimization, and obstacle avoidance in real-world operational environments. A highly adaptable, problem-solving mindset, with the ability to navigate ambiguity, move fast, and balance immediate operational fixes with long-term technical fidelity. Strong communication skills, both written and verbal. As the crucial bridge between the operational edge and our core development team, you must be able to translate complex, edge-case technical realities and user workflows into clear, actionable requirements for product engineers. Experience with sensor fusion and perception pipelines, including integration of LiDAR, IMU, GPS, and camera data for localization and mapping (SLAM). Familiarity with simulation environments (e.g., Gazebo, AirSim, CARLA) for testing robotic software prior to field deployment. Prior experience with CRDTs (Conflict-free Replicated Data Types) or local-first software architectures to manage complex data synchronization without a central server. A background in systems programming (e.g., C++, Rust, or Python) with experience writing performant, real-time code for resource-constrained embedded platforms. Direct experience with DoD or defense-related robotic programs, including an understanding of safety, certification, and operational constraints for unmanned systems. Experience with edge computing and containerized deployments on robotic platforms, including lightweight orchestration (K3s, Docker) on ARM-based or embedded hardware. Familiarity with computer vision frameworks (e.g., OpenCV, TensorRT) and deploying inference models on edge devices for real-time perception tasks. Clearance: Active Secret We offer competitive salaries and meaningful equity. We believe everyone on the team should have a stake in what we’re building. Benefits vary by region to make sure you're covered in the ways that matter most. In the US, that includes health, dental, vision, life, and disability insurance, plus a 401(k) and flexible spending accounts. Regardless of where you live, everyone at Ditto can utilize flexible time off. And while we work remotely, our Atlanta and San Francisco offices are open if you ever want a place to work or meet up with teammates. At Ditto, we know game-changers don’t always come wrapped in a “perfect” resume. Years of experience? Every single bullet point checked? Meh. That’s not what drives us. What does matter? Grit. Curiosity. Adaptability. And a genuine spark for what we’re building. So if you’re fired up about our mission but not sure you tick every box - hit that apply button anyway. Use your application to show us how you’ll make an impact here. We’re always on the lookout for exceptional humans who want to grow, stretch, and build something meaningful with us. Ditto is proud to be an equal-opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Ditto is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let us know.

About Us: Innatera is a rapidly growing Dutch semiconductor company that develops ultra-efficient neuromorphic processors for AI at the edge. These microprocessors mimic the brain’s mechanisms for processing fast data streams from sensors, enabling complex turn-key sensor analytics functionalities, with 10,000x higher performance per watt than competing solutions. Innatera's technology serves as a critical enabler for next-generation use cases in the IoT, wearable, embedded, and automotive domains. We are currently seeking a talented Senior Field Application Engineer based in the USA to support our product development and customer implementation efforts. The ideal candidate is a technically hands-on problem solver who sits within the engineering team, actively supporting customers through complex integrations and translating field feedback into product improvements. Applicants must be currently authorized to work in the United States on a full-time basis. Please note that Innatera does not provide sponsorship for employment visas (e.g., H-1B, TN) at this time. This is a remote position; however, it requires frequent travel throughout North America to provide on-site support to our clients. Candidates must possess a valid passport and be able to travel internationally. WE WILL TRUST YOU WITH: Bridging the gap between the market and our internal teams by actively translating client feedback and usage scenarios into actionable product improvements. Build deep technical relationships with customer architects and engineering management, serving as their primary technical advisor Dealing with technical questions/issues from customers, and assisting our customers in accelerating their development of our technology Training customers (alongside the engineering teams) by organising workshops and training sessions Help and guide customers through the design process including architecture reviews, schematic reviews, design-in support and training customers on product features. Partner with Sales to identify opportunities and articulate the value of Innatera technology to secure wins Collaborating actively with the SDK/EDK, architecture, and Product owner teams YOUR EXPERIENCE INCLUDES: At least 7 years of experience in a technical customer-facing role (FAE, System Architect, or similar roles) within the Semiconductor industry Experience with AI Embedded Applications Experience working in a global environment, bridging the gap between customer requirements in North America and European/Western HQ engineering teams WHAT YOU NEED TO SUCCEED: Bachelor's degree in engineering, computer science, or a related field Great coding skills in Python, C/C++ Knowledge of ML/AI Framework(s): TensorFlow, PyTorch Knowledge of Embedded Development Kit(s), and an AI background Computer architectural knowledge is a big advantage Strong analytical and problem-solving skills Flexibility and outstanding communication & customer service skills WE OFFER YOU: A dynamic working environment around a fearless engineering culture, Ambitious teams with the freedom to innovate, A Flexible working environment (work from home policy, flexible working hours, advantageous holiday scheme), An inclusive company culture that embraces communication, diversity, and support around holistic and personal development. Whether you’re passionate about microarchitecture, excited by verification or physical design, driven by supporting operations, building strong teams, or mastering the details of accounting, we’d love to hear from you! If you're ready to shape the future of technology with us, click Apply and share your story. Innatera is proud to be an equal opportunity employer. We welcome applicants of all backgrounds and experiences and are committed to building a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, gender, gender identity or expression, sexual orientation, disability, age, or other protected characteristics. If you require accommodations during the recruitment process, please let us know – we’re happy to support you.

Are you ready to take the helm in shaping the future of tactical mission autonomy, standing shoulder-to-shoulder with trailblazers who are turning cutting-edge dreams into tangible reality? As a vital member of the growing EpiSci team, your influence will be immediate and transformative as we propel towards a future where security and autonomy unite in unprecedented ways. EpiSci isn't just another company; we're a rapidly ascending force of innovation, forging ahead with next-gen tactical mission autonomy technologies that span defense, aerospace, and commercial domains. At our core, we wield the latest advancements in artificial intelligence, autonomy algorithms, wireless communications, and digital signal processing to surmount the most formidable national security challenges. Our Tactical AI prowess is nothing short of extraordinary, offering robustness, dependability, and a rapid adaptability that thrives on the frontlines of emerging missions and obstacles. Picture developing AI aviators for cutting-edge aircraft like the F-22 and F-16, revolutionizing wireless tactical communication systems, and fueling the skies with swarms of autonomous UAVs supercharged by sensor fusion. As a Microservices Software Engineer at EpiSci, your role is pivotal, entailing dynamic endeavors that encompass designing and actualizing architectures and systems across a spectrum of Tactical autonomy applications. Here, you won't just follow the norm; you'll be crafting groundbreaking, hybrid autonomous algorithms that redefine the boundaries of both commercial and defense applications. The challenge is profound and the rewards are immeasurable, as you build superior systems that empower our military with unrivaled capabilities. We understand and cherish the richness that diverse perspectives and backgrounds bring to the table. At EpiSci, we wholeheartedly invite every exceptional individual, regardless of their journey, to join our ranks and become a driving force behind the secure and autonomous world of tomorrow. Your future at EpiSci awaits—ignite your potential and let's redefine what's possible, together. Don't meet every single requirement? At EpiSci, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at EpiSci. \n Responsibilities • Create and integrate software microservices that operate real autonomous aircraft systems including F16 fighter jets, group 1-5 unmanned aerial vehicles (UAVs), as well as simulated models to accomplish tactical military missions., • Collaborate with autonomy engineers to implement production level microservice architectures to control autonomous UASs., • Establish and improve software testing and debugging tools for autonomy solutions implemented as service-oriented architectures., • Implement, leverage and refactor, and improve state-of-the-art unmanned aerial system (UAS) autonomy algorithms in programming languages for the following autonomy categories to perform tactical military missions:, • Autonomy loops such as: “Sense, Make Sense, Decide, Act (SMDA)”, “Observe, Orient, Decide, Act (OODA)” loops., “Perceive, Decide, Act’ (PDA)” loops., • Sense: Environment sensing and modeling, computer vision, sensor processing, classification, anomaly detection., • Make Sense: Environment mapping, data interpretation, 3D voxel grids, GeoGrids, WGS84, aerospace coordinate systems and reference frames (north east down (NED), Geocentri & Geodetic latitudes, Earth-centered-inertial (ECI), earth centered earth fixed (ECEF)), no fly zones, keep-in/keep-out zones. Sensor fusion and target tracking, etc. Find, fix, track, target (F2T2)., • Decide: State machines, behavior trees, optimization algorithms, constraint solving, classic algorithms (A, RRT, DFS, BFS, Branch & Bound, Random Forests), heuristics, optimization, Kalman filters, particle filters, etc. Artificial intelligence techniques such as deep reinforcement learning, reinforcement learning, machine learning, neural networks, supervised learning, unsupervised learning, generic algorithms, Bayesian networks, fuzzy logic, etc., • Act: Autonomous 2D & 3D UAS trajectory/motion planning, route planning, SLAM. Classical controls systems, optimal control systems, adaptive control systems, model predictive control systems, especially for integration of 3rd party UAS autopilots. Guidance, navigation, and controls (GNC)., • Build, leverage, and improve robotic autonomy software architectures that can be deployed on real systems to accomplish military missions (including publish/subscribe architectures)., • Design autonomy software in collaboration with autonomy engineers that supports full integration with aircraft autopilots, datalinks, sensors, PNT/GPS/INS, ground control stations, etc., • Support live flight test of autonomy software on aircraft such as F16s, and group 1-5 unmanned aerial vehicles (UAVs)., • Collaborate with 3rd party UAS vehicle vendors on the integration of EpiSci autonomy software onto OEM UAS hardware., • Collaborate with domain experts and prior DoD warfighters (ex. DoD fighter pilots) to build software autonomy solutions for military missions. Minimum Qualifications • Education Requirements:, • Master’s degree in computer science/related engineering field., • 6+ years of hands-on experience developing Python, and Rust software for autonomous robotic systems., • Technical Requirements:, • Experience in developing software for autonomous robotic systems in Python, and Rust, • Strong procedural and object-oriented programming experience that employs clean code principles and good design patterns., • Strong software architecture design experience., • Experience developing in Docker and containerized development environments, and using Linux-based operating systems (e.g., RHEL, Ubuntu)., • Experience using git, Visual Studio Code, GitLab, SonarQube, Azure Container registry., • Experience using microservice development and testing tools such as Kubernetes, Pytest, Grafana, Postman, and Hoverfly., • Experience with cross-language schema development and maintenance using tools such as Protobuf., • Additional Requirements:, • Passion for solving complex problems with little supervision in a fast-moving team., • Ability to balance multiple priorities in a fast-paced, highly collaborative, frequently changing, and sometimes ambiguous environment., • Excellent analytical, communication, and documentation skills with demonstrated ability to collaborate across multiple teams., • Travel Requirements, • Must be willing to travel as projects requires. Estimated average travel is once every other month for between 2 days up to 1 week. (~20%), • Location Requirements, • Remote., • Security Requirements, • (MANDATORY) Must be a U.S. Citizen., • (MANDATORY) Must be eligible for a U.S. SECRET security clearance with Special Access Program (SAP) eligibility. Preferred Qualifications • Education Requirements:, • Master’s degree in computer science/related engineering field., • 9+ years of experience developing software for autonomous robotic systems in multiple programming languages., • Technical Requirements:, • Familiarity with software-in-the-loop (SIL) and hardware-in-the-loop (HIL) development and testing., • High proficiency in modern C++ (2011, 2017, 2020, smart pointers, etc.) w/CMAKE in Docker-based Linux environments., • Familiarity with military architecture standards such as OMS UCI., • Experience creating and modifying CI/CD pipelines to automate developer tasks., • Experience working projects related to national security for one or more government agencies., • Interdisciplinary background, with evidence of continual learning., • Security Requirements, • (MANDATORY) Current U.S. SECRET security clearance with Special Access Program (SAP) eligibility. \n$100,000 - $190,000 a year\n EpiSci is proud to be an equal opportunity and affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, sexual orientation, age, marital status, disability, gender identity or Veteran status. We value our differences and we’re excited to learn what you can add to our team. Don't meet every single requirement? At EpiSci, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at EpiSci.

About Ditto: Ditto is redefining how data moves at the edge. Our mission is to make it seamless for developers to build resilient, real-time applications, regardless of network conditions. Whether you're in a stadium, airplane, or remote military base, Ditto's peer-to-peer sync engine ensures devices stay connected and data stays consistent, even without internet. With more than $145 million in funding and trusted by organizations like Chick-fil-A, Delta Airlines, and the U.S. military, Ditto powers mission-critical experiences across aviation, retail, travel, hospitality, defense, and more. As a globally distributed, fast-growing startup, we’re committed to building a diverse and inclusive team that reflects the wide range of perspectives needed to solve the world’s hardest connectivity problems. As a Forward Deployed Engineer (FDE), you are the technical tip of the spear. FDEs are elite, versatile engineers who work shoulder-to-shoulder with our most critical users to solve complex challenges in real time. Your primary mission is to radically decrease the time-to-value of our software by integrating it directly into the user's operational environment. Because you see firsthand how our technology performs in the wild, you will also act as a crucial conduit, feeding technical insights and feature requirements back to our core product engineering team. This role requires a highly adaptable problem-solver who is comfortable moving fast, navigating ambiguity, and figuring things out quickly in high-stakes environments. Integrate with Military Avionics Data Buses: Lead the on-site integration of our software with airborne and ground-based platforms by engineering data ingest and translation layers for MIL-STD-1553 and ARINC 429 avionics buses. Implement Tactical Datalink Interfaces: Architect and deploy software interfaces to parse, transform, and route messages from tactical datalinks including Link 16 and Situational Awareness Data Link (SADL), ensuring reliable machine-to-machine interoperability in contested environments. Enable Cursor-on-Target (CoT) Data Flows: Build and maintain robust CoT event pipelines that bridge platform sensor data into the broader C5ISR ecosystem, ensuring operational relevance and low-latency dissemination. Solve Problems in Real-Time: Act as the first line of technical defense, rapidly diagnosing and resolving software, protocol, and integration issues as they arise on operational platforms. Bridge the Gap: Translate the unique, edge-case operational realities you observe (e.g., non-standard bus configurations, latency-sensitive datalink traffic, platform-specific firmware constraints) into actionable technical requirements for the core product development team. Clearance Requirement: Must hold an active TS/SCI clearance (Due to federal security clearance requirements, U.S. Citizenship is strictly required for this role). 5+ years of experience in software engineering, embedded systems engineering, or systems integration. This includes hands-on experience writing software that interfaces directly with military or aerospace data buses and protocols. 2+ years of technical experience working with avionics bus standards such as MIL-STD-1553 and/or ARINC 429, including message parsing, bus monitoring, and protocol-level debugging. Demonstrated experience with tactical datalink protocols (Link 16, SADL) and/or Cursor-on-Target (CoT) message formats. You should understand the structure of these data standards and how to translate between them. A highly adaptable, problem-solving mindset, with the ability to navigate ambiguity, move fast, and balance immediate operational fixes with long-term technical fidelity. Strong communication skills, both written and verbal. As the crucial bridge between the operational edge and our core development team, you must be able to translate complex, edge-case technical realities and user workflows into clear, actionable requirements for product engineers. Direct experience with C5ISR system-of-systems architectures, including an understanding of how sensor-to-shooter kill chains are constructed and maintained across platforms. Experience with real-time embedded operating systems and developing software under hard real-time constraints. Familiarity with flight test or operational test environments, including working with Developmental Test (DT) or Operational Test (OT) teams on military platforms. Experience with software-defined radios (SDRs) or waveform development for tactical communications. Previous experience working directly with DoD platform program offices (e.g., PMA, PEO), with an understanding of the certification and accreditation processes for airborne software. A background in systems programming (e.g., C, C++, Rust) alongside standard scripting, allowing for deep optimization of bus interfaces and protocol handlers. Familiarity with MIL-STD-461 (EMI/EMC) or DO-178C software assurance considerations as they relate to deploying software on airborne platforms. Clearance: Active TS/SCI We offer competitive salaries and meaningful equity. We believe everyone on the team should have a stake in what we’re building. Benefits vary by region to make sure you're covered in the ways that matter most. In the US, that includes health, dental, vision, life, and disability insurance, plus a 401(k) and flexible spending accounts. Regardless of where you live, everyone at Ditto can utilize flexible time off. And while we work remotely, our Atlanta and San Francisco offices are open if you ever want a place to work or meet up with teammates. At Ditto, we know game-changers don’t always come wrapped in a “perfect” resume. Years of experience? Every single bullet point checked? Meh. That’s not what drives us. What does matter? Grit. Curiosity. Adaptability. And a genuine spark for what we’re building. So if you’re fired up about our mission but not sure you tick every box - hit that apply button anyway. Use your application to show us how you’ll make an impact here. We’re always on the lookout for exceptional humans who want to grow, stretch, and build something meaningful with us. Ditto is proud to be an equal-opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristics. Ditto is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let us know.

Summary Description: Syntiant Corp., a leader in the high-growth AI software and semiconductor solutions space, is looking for an experienced and talented DevOps Machine Learning Infrastructure Engineer to take on a critical role with expansive responsibilities to enhance the Software Engineering function in a growing organization. This individual will play a crucial role in maintaining and enhancing our machine learning applications, specifically those deployed on AWS Elastic Kubernetes Service (EKS) and on-premises machine learning cluster. The ideal candidate will have experience with cloud infrastructure, containerization, and DevOps practices, as well as the ability to work on both on-premises and cloud environments. Specific Duties and Responsibilities: • Develop, maintain, and optimize RESTful APIs using Python and FastAPI., • Deploy & manage applications on AWS EKS, ensuring high availability, scalability, and performance., • Integrate with various data sources & services (e.g., MongoDB, Postgres) for efficient data storage and retrieval., • Implement CI/CD pipelines to automate testing and deployment processes., • Collaborate across teams to ensure seamless integration of cloud-native tools and practices., • Maintain on-premises servers running Ceph, PostgreSQL, and NFS services., • Troubleshoot & resolve issues across different environments (development, staging, production)., • Participate in code reviews, pair programming, and knowledge sharing sessions. Qualifications, Education, and Experience Required: • Bachelor's Degree in Computer Science or equivalent work experience., • Minimum of 5 years of relevant experience., • Proficiency in Python, with experience using FastAPI for API development., • Hands-on experience with AWS EKS, including deploying, scaling, and managing Kubernetes clusters., • Knowledge of containerization technologies (Docker, Kubernetes)., • Experience with cloud infrastructure services such as S3, RDS, and VPCs., • Familiarity with CI/CD tools like GitLab CI/CD or Jenkins., • Strong understanding of database systems, including MongoDB, PostgreSQL, and NFS., • Experience with on-premises storage solutions like Ceph., • Expertise in Linux system administration., • Ability to write clean, maintainable code and perform thorough testing., • Excellent problem-solving skills and a strong attention to deta., • Experience with cloud-native observability tools (Prometheus, Grafana) is a plus., • Familiarity with Kubernetes operators and Helm charts is a plus., • Knowledge of container orchestration on-premises using K8s or similar technologies is a plus., • Experience with DevOps best practices and infrastructure as code (Terraform, Ansible) is a plus. Benefits Summary: • Medical: Several plan options including PPO and HSA-compatible plans from Anthem Blue Cross, most of which are 100% paid by Syntiant Corp. for you and your family., • Dental: Company-paid dental PPO coverage from MetLife, including coverage for Orthodontia., • Vision: Company-paid vision PPO coverage from MetLife / VSP., • Life Insurance / AD&D: Company-paid basic Life / AD&D coverage in the amount of 3x your salary (up to $1,000,000). Additional supplemental life insurance with low group rates is available for yourself and your family., • Disability Coverage: Company-paid Short Term and Long-Term Disability coverage provides up to 60% income replacement protection., • Spending and Savings Accounts: Flexible Spending Account (FSA) benefits for Health Care and Dependent Care. Health Savings Accounts (HSA) for those enrolled in a qualified Medical plan., • 401K Retirement Plan: Administered by Empower, the 401(k) plan allows you to plan for your future by investing a portion of each paycheck., • Other Benefits: A company-provided Employee Assistance Program (EAP), as well as access to additional voluntary benefits including Accident, Critical Illness, Hospital Indemnity, Legal Support, and Identity Fraud Protection. About Syntiant: Founded in 2017 and headquartered in Irvine, Calif., Syntiant Corp. is a leader in delivering hardware and software solutions for edge AI deployment. The company’s purpose-built silicon and hardware-agnostic models are being deployed globally to power edge AI speech, audio, sensor and vision applications across a wide range of consumer and industrial use cases, from earbuds to automobiles. Syntiant’s advanced chip solutions merge deep learning with semiconductor design to produce ultra-low-power, high performance, deep neural network processors. Syntiant also provides compute-efficient software solutions with proprietary model architectures that enable world-leading inference speed and minimized memory footprint across a broad range of processors. The company is backed by several of the world’s leading strategic and financial investors including Intel Capital, Microsoft’s M12, Applied Ventures, Bosch Ventures, the Amazon Alexa Fund, and Atlantic Bridge Capital. More information on the company can be found by visiting_. Elements of our total compensation package include base pay, annual incentive plan, participation in our equity plan, and robust benefits program. Individual compensation decisions are based on a number of factors, including but not limited to previous experience and skills acquired prior to joining Syntiant, cost of living in the assigned work location, assigned schedule, and salaries of similarly situated peers at the company. It is to be expected that candidates will come to us with different sets of skills and experiences and therefore will be paid at different points in the stated range. We recognize that the person(s) we select for hire may be less experienced or more experienced than the role as posted; if this is the case, any updates to available salary ranges will be communicated with candidates during the recruitment process.

What We Do at Anno.ai Anno.ai is a mission-focused defense technology startup dedicated to accelerating the safe and effective development of next-generation autonomous systems. We specialize in building and operating advanced test ranges for low Technology Readiness Level (TRL) single- or dual- use autonomous platforms, providing a critical bridge between early-stage innovation and real-world mission requirements. Our ranges are designed to replicate complex, contested, and dynamic environments—giving innovators, researchers, and defense partners the ability to validate, stress-test, and mature their systems with speed and rigor. By combining deep technical expertise with a strong national security ethos, Anno.ai ensures that emerging autonomous technologies are tested not only for performance, but for resilience, adaptability, and operational relevance. Anno.ai is a growing company with a team drawn from diverse professional backgrounds, bringing together expertise in defense, technology, engineering, and operations. We intentionally build our teams on the foundation of trust. Our values including the trust rule, ownership, bias for action, never stop learning, and sustainable excellence, not only guide how we work internally, but also how we partner with customers and stakeholders. At Anno.ai, we believe that mission success depends on empowering innovation at the edge. We exist to help our partners move faster, fail smarter, and ultimately deliver autonomous capabilities that safeguard both national security and the future of global stability. Position Overview As a Senior Full-Stack Engineer at Anno.ai, you will design, build, deploy, and maintain production systems used for high-throughput data collection, fusion, and analytics across both cloud platforms and deployed edge environments. You will collaborate closely with infrastructure, data, product, platform, and field engineering teams, serving as a key technical contributor driving system performance, reliability, and usability. This role is part of a fast-moving technology development group. We seek individuals who thrive in ambiguity, take ownership, and deliver solutions with minimal oversight—while also contributing to engineering rigor and cross-team architecture. The ideal candidate for this role would reside in Minnesota. Candidates need to be able to obtain and maintain U.S. Governement security clearance (U.S. citizenship required). The company would pay for clearance costs. They also need to be able to travel up to 20% of the time. What You’ll Do • Build full-stack systems that enable data ingestion, fusion, analysis, and visualization across cloud and edge environments, • Develop distributed services that handle real-time and recorded sensor and media data at scale, • Shape system architectures to support mission-critical performance, reliability, and operational resilience, • Design data models and storage strategies that ensure integrity, performance, and efficient retrieval, • Integrate internal services and external partner systems to support end-to-end workflows, • Create intuitive operator-focused user interfaces and mission-support tooling, • Implement testing, monitoring, deployment, and observability practices to ensure stable and supportable systems, • Deploy and validate software on edge computing devices under lab environments and during field exercises, • Collaborate closely with other engineers, data teams, and field personnel to deliver production-ready autonomous system capabilities Required Qualifications • Bachelor's degree in a relevant field (e.g., Computer Science, Computer Engineering), • 5+ years of software development experience across UI, backend services, and data/storage layers, • 3+ years of Python development experience, • 3+ years of Typescript and React experience for frontend application development, • PostgreSQL or similar relational databases (schema design and optimization), • Designing and integrating secure APIs and web services, • Deploying and operating applications in AWS, familiar with ECS, EC2, Lambda, and S3, • Containerization and orchestration using Docker and Kubernetes, • Working effectively in both Linux and Windows environments, • Troubleshooting distributed systems and network-level interactions (e.g., TCP/IP, routing, VLANs, bandwidth constraints), • CI/CD pipelines and automated deployment workflows, • Communicating complex technical concepts to technical and non-technical stakeholders, • Operating with high ownership and autonomy across multiple concurrent projects, • Using modern collaborative development workflows (e.g., Git-based), • Ability to obtain and maintain U.S. Government security clearance (U.S. Citizenship required), • Ability to travel up to 20% Preferred Qualifications • Experience designing and deploying systems that handle real-time or high-volume sensor, media, or telemetry data, • Strong architectural design skills involving distributed systems, data synchronization, and networked compute environments, • Familiarity with edge computing, constrained compute deployments, or field-operated systems, • Experience with network video systems, streaming pipelines, or sensor fusion environments, • Ability to perform root-cause analysis and develop corrective design strategies, • Demonstrated ability to collaborate across multidisciplinary teams (software, hardware, field/ops) and drive outcomes to completion, • Familiarity with SBOM supply chain integrity, • Prior experience supporting U.S. Department of War programs, cUAS systems, or mission-critical autonomous platforms, • Proven ability to communicate clearly under operational constraints and evolving mission requirements Total Rewards Package for Our US Employees • Competitive salary, • Equity, • Comprehensive benefits package, • 401k with a 5% company match, • Paid holidays and generous paid time off offering, • Paid leave programs, • Patent bonus program, • Employee referral bonus program, • Learning and development program, • Opportunity to work with a team of highly skilled, creative and motivated team members Quick Note on Role Fit If you think you have what it takes to fulfill this opportunity, but don't necessarily check every box, please still connect with us at _. Feel free to send a cover letter so we can get to know you better!

To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. Sensor Tower will not pay any third-party agency or company th

To ensure your submission is considered, only apply for positions at Sensor Tower through our company website or through posts directly associated with Sensor Tower company profiles on sites such as LinkedIn, Indeed, BuiltIn or Hackajob. Sensor Tower will not pay any third-party agency or company th

Sensor Tower will not pay any third-party agency or company that does not have a signed agreement with Sensor Tower. Communications received from Sensor Tower are only sent by e-mail addresses ending in sensortower. To ensure your submission is considered, only apply for positions at Sensor Tower th

Key Responsibilities Analyze large-scale manufacturing data, including sensor, batch, recipe, and production line data Develop analytics solutions to identify defects, scrap, rework, and process deviations Perform root cause analysis and multivariate process analysis to uncover drivers of quality is

Kraken Robotics is hiring a Senior Data Scientist to drive innovation in marine data processing and analytics.

Practical experience with AI‑driven SEO and ASO tools (Surfer SEO, NeuronWriter, AppTweak, Sensor Tower, ChatGPT). Manage and optimize AI‑powered workflows for search optimization using tools such as Surfer SEO, NeuronWriter, ChatGPT (SEO), AppTweak, and Sensor Tower (ASO). Align SEO/ASO efforts

Job DescriptionJoin an elite team as a Senior Backend Engineer architecting the high-performance data backbone and ML infrastructure that powers autonomous manufacturing. You will build the low-latency systems that enable physical machines to process massive sensor streams, think in real-time, and operate with precision in high-stakes defense environments.Staff Backend Engineer Benefits — Starting Salary targeting $200K–$250K — Equity stake of 0.5% to 1.0% — Work on frontier vision-language-action models — Greenfield ownership — Comprehensive benefits Staff Backend Engineer Qualifications — 7+ years of Senior Backend Engineering experience, with a proven track record of architecting and deploying production-grade data pipelines in Python, Rust, or C++. — Large-scale Data Expertise in building high-throughput systems for sensor and video data, specifically handling the complexities of real-time ingestion and storage. — Deep Infrastructure Knowledge involving time-series databases, streaming systems (like Kafka or Flink), and the integration of ML infrastructure to support production-level model inference.

Job DescriptionAbout Sunrise Group Sunrise Group is building the future of sleep health by combining breakthrough technology with expert care. We started in 2015 with a straightforward idea: sleep diagnosis should happen in the comfort of your own home, not in a hospital. To make that possible, we created a first-of-its-kind chin sensor, carefully validated through clinical research, reviewed by leading sleep experts, and cleared by the FDA. Since then, Sunrise Group has grown from a single innovation into a complete sleep health company. We now design advanced diagnostic and treatment solutions, and we deliver care directly to patients through Dreem Health, our digital sleep clinic. By serving patients in all 50 states with reimbursed care, we are making sleep treatment more accessible, more personal, and much simpler than it has ever been. Your Opportunity We're hiring a Full-Time Nurse Practitioner to deliver exceptional sleep care as a vital member of Dreem Health's clinical team. Reporting to the Medical Director, you'll screen, diagnose, and treat patients struggling with sleep issues, directly shaping their health outcomes and quality of life. This is a hands-on, high-impact role where clinical excellence meets patient-centered care. This is a senior, high-impact role reporting directly to the Chief Growth Officer, operating at the intersection of: • A Patient-Focused Approach - This role requires a high level of empathy and understanding of patients' needs. You will strive to provide exceptional patient service and support throughout their care journey., • Excellent Communication Skills - Strong communication is key for interacting with patients, providers, and internal teams. Your ability to clearly relay complex medical information and accurately convey patient feedback is crucial., • Proactive, Innovative and Tech-Friendly - We seek a proactive, innovative thinker. You will identify areas for improvement, contributing to service enhancements., • Critical Thinking Skills - Always challenge the status quo. We can and we need to improve continuously the way we deliver care, and shape the patient experience, • Prioritization Skills - In this multifaceted role, strong prioritization and time management skills are crucial. You will be tasked with juggling various responsibilities, ensuring seamless service delivery and optimal patient satisfaction., • Flexibility in the role - We need someone who has the ability and willingness to adapt to changing circumstances, environments, tasks, and requirements. It involves being open-minded, versatile, and responsive to the evolving needs of the job and the organization. You'll have the opportunity to make a meaningful difference in each patient's health while contributing to a vibrant, supportive, and rapidly expanding clinical environment focused on redefining sleep health. At Sunrise Group, we work on a problem that affects millions: poor sleep and untreated sleep disorders. Our mission is to make diagnosis and care easier to access, and we're proud of the experience we provide to patients. We feel responsible for making it better every day. If you're looking for the autonomy to take ownership of your work, make an impact, and be part of a team where ideas move fast and everyone has a voice - this role is for you! What You'll Do • Providing comprehensive sleep medicine care via telemedicine, • Thoroughly documenting patient interactions using our customized EHR, • Applying appropriate billing procedures, • Participating in quality control and improvement activities, • Returning patient messages and calls in a timely fashion, • Facilitating referrals to other healthcare professionals and medical facilities, • Keeping current with and following AASM guidelines and clinic medical protocols in your clinical care and decisionsWhat You Bring, • A minimum of 5 years experience of direct patient care, • A minimum of 3 years of experience in sleep or sleep medicine is required for candidates who wish to start within one month., • Applicants without prior sleep experience must enroll in the Dreem Health Academy program — a paid, 4-week training course. Completion of this course is mandatory before beginning any work with patients., • A Master's or Doctoral degree in nursing from an accredited college or university, • A CA APRN License AND one or more additional state licenses are required, • An active CA Furnishing license and an active DEA license (eligible to DEA license), • Must be able to work full time, a minimum of 36 hours per week, 5 days per week, Monday through Friday.Our Core Values At Sunrise Group, we keep things clear and simple ✨, value trust and collaboration 🤝, and lead with optimism and compassion 🌞. These values guide everything we do. What We Offer • Meaningful work that directly improves people's lives, • Be part of an international team across the US, France, Belgium, • Annual team offsite, • Comprehensive health benefits (medical, dental, vision), • Continuing Medical Education (CME) to support your growth and ongoing professional development, • FREE One Medical membership, • 401(k) with company match, • 20 days PTO + 10 paid holidays + 80 hours paid sick leave, • Monthly phone and internet stipend Compensation $130,000 - $140,000 depending on experience. We hire humans, not bullet points. Don't meet every single qualification? That's okay. We care more about who you are than what's on your CV. We're looking for people who are curious, resourceful, and ready to roll up their sleeves — especially if you're excited about building something new in healthcare. So if you think you could make an impact here, reach out to us. Dreem Health / Sunrise is an Equal Opportunity Employer. We welcome people of all backgrounds and are committed to building a workplace where everyone feels included and respected. We do not tolerate discrimination or harassment of any kind.

Job Description Applied Physics is seeking a highly motivated Senior Electro-Optical Engineer to join our team. The successful candidate will be responsible for leading the development, design, and testing of optical systems for space-based applications. The ideal candidate will have a Bachelor's degree in Optical Engineering, Physics, or a related field and 5 or more years of professional experience, a Master's degree and 3 or more years of experience, or a related PhD. Qualifications: • Bachelor's degree in Optical Engineering, Physics, or related field; or equivalent combination of education and experience, • Experience fabricating, designing, or fielding tactical or space-based optical systems and relevant performance parameters, • Experience with integration, test, characterization, and/or verification of optical systems, • Active Top Secret security clearance or equivalent Requirements • Lead a small optical engineering team as the Certified Principal Engineer (CPE) for the build and test of prototype or high TRL optical sensor hardware, • Perform optical analysis to determine ability of designed optical systems to meet specifications, • Work with Systems Engineering to perform system level design and decomposition into optical system requirements, • Participate in studies and system trades for enhanced capabilities, • Lead development of materials for program technical reviews and present data throughout the product development and maturation processes, • Procure optical components to specification to meet performance goals, • Lead development of build documents, hardware assembly, integration, test planning, and test execution of optical systems, • Report progress periodically to program leadership and external customers and clients, • Support spacecraft integration within a program coordinating across multiple disciplines to ensure requirements verification, • Participate in failure investigations and anomaly resolution boards, • Work with Certified Principal Engineers (CPEs), Responsible System Engineers (RSEs), designers, and test engineers to ensure smooth integration at the system level, • Demonstrate effective verbal communication, develop concise and professional technical presentations, and deliver briefings to peers, leadership, and customers Benefits 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 DescriptionABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We're building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world's largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We're a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! OUR VALUES • Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters., • Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together., • High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company., • Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters., • Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work., • Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints., • Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.ABOUT THE JOB We're looking for a hands-on senior technical generalist who can move fluidly across the full stack of a retail deployment — from reader antenna placement and RF environment debugging, to understanding how location fixes propagate through our cloud pipeline. You'll be embedded in the work, not above it. The job is to unblock problems, make calls in the field, and keep the deployment moving forward. When RFID read rates are off, you're the person who figures out why and fixes it. You'll work closely with hardware engineers, firmware developers, backend and cloud engineers, and RADAR's own infrastructure team and you need to hold a real technical conversation with all of them. You'll be operating across this stack on a daily basis: RFID (UHF Gen2) · Indoor positioning · Reader firmware · RF propagation · MAC / physical layer · Cloud pipelines · Mobile SDKs · Store network / IT Responsibilities: • Walk a store and diagnose why RFID read rates are off — antenna angle, reader config, interference, multipath, tag placement — and make the call on the fix, • Triage location performance issues end-to-end: from physical layer through the cloud pipelines, • Translate what you're seeing in the field into precise, actionable bug reports and configuration changes for hardware, firmware, and backend engineers, • Work directly with internal partner teams, as well as the retailer's IT, facilities, and operations teams to get things done on the ground — cabling, network access, reader mounting, rollout sequencing., • Identify the real blockers, not the reported ones, and drive them to closure without waiting for perfect information, • Own the deployment plan for each store phase: what gets installed, in what order, how it gets validated, and what done looks like, • Build the institutional knowledge that makes the second and third store easier than the first — runbooks, failure modes, calibration playbooks, • Serve as the translation layer between Radar's full-stack engineering org and the retailer's technical teamsABOUT YOURequired:, • You have expertise with RFID systems — UHF Gen2, reader configuration, antenna selection and placement, tag behavior in complex RF environments, • You are familiar with physical layer and/or MAC layer fundamentals from wireless comms, base station work, or related RF systems, • You are familiar with indoor positioning — for example BLE, Wi-Fi, or sensor fusion at a working level, • You have experience in debugging and root cause analysis across hardware/firmware/software boundaries, • You have supported field deployments in real environments, not just labs, • You can work fluently across HW, FW, embedded, backend, and cloud engineering teams, • You are highly organized with exceptional attention to detail, able to maintain quality and thoroughness in environments that move fast, • You are a clear and confident communicator, comfortable translating technical details into actionable insights for both engineering teams and non-technical retail stakeholders, • You have hands-on experience coordinating project execution, handling competing priorities and ambiguity with composure and rigorPreferred:, • You have retail or supply chain environment exposure, • You are familiar with cloud telemetry pipelines and observability tooling, • You can perform RF measurements — spectrum analyzers, site surveys, signal mapping, • You have familiarity with data analysis, algorithm tuning, or signal processing concepts that translate to improving system performance in the field, • You are experienced working at a fast-paced startup or high-growth technology company where agility, ownership, and resourcefulness are essentialWHAT YOU'LL DOIn your first 30 days, you will:, • Learn Radar's mission, technology stack and core values., • Complete onboarding and security compliance training., • Visit one of RADAR's lab stores to experience the end-to-end system in operationIn your first 60 days, you will:, • Visit a pilot store installation, • Use existing analysis tools to assess the performance of the pilot store installation, • Work with project management and customer experience teams to define a test plan for the pilotIn your first 90 days, you will:, • Identify system bottlenecks or performance deficiencies and work with engineering teams to resolve them, • Create performance test reports to share with stakeholders, • Develop new analysis tools for assessing system performance At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $200,000 - $280,000. Individual pay is determined by work location and additional factors, including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan, flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Job DescriptionCompany Description SOCOTEC is a provider of niche consulting services within the architecture, engineering and construction industries focusing on high-performance buildings and specialty structures. Through an integrated, holistic approach, our professionals provide solutions for building envelope, energy efficiency, sustainability, code advisory and construction advisory projects SOCOTEC’s combination of expertise, experience and methods are increasingly recognized as best-in-class fueling significant growth. SOCOTEC is proud to announce that it has been officially certified as a Great Place to Work by the renowned global authority on workplace culture, Great Place to Work®. Job Description SOCOTEC Engineering is currently seeking a Senior Engineer with more than 5 years’ experience in laboratory testing for our Forensics Group based at the laboratory facility in Brooklyn, New York. This position requires working with our team to conduct materials and mechanical testing, field monitoring, and non-destructive evaluations of structures. Candidates with less experience, but exceptional background is encouraged to apply. The candidate will be responsible for: • Coordinating, planning, and conducting standard and custom mechanical and material testing in the laboratory, including tensile, Charpy V-notch, leak/pressure, long-term durability testing, and others, • Leading and completing field testing and monitoring including installation of sensors, deploying data acquisition systems, data collection and analysis, • Preparation of written reports of tests including analysis of data and interpretation of results, • Conducting field and site inspections, • Managing projects, pursuing new business opportunities, and communicating effectively with colleagues, technical and administrative staff, clients and other stakeholders, • Completing all duties as assigned by their managerQualifications The following qualifications and skills are required for this position: • Degree in Mechanical, Civil, Materials or other relevant fields of engineering, with familiarity/expertise in mechanical and material testing, instrumentation and data analysis. A masters’ degree is required at the minimum, although exceptional candidates with bachelors’ degree and relevant work experience will be considered, • Exceptional verbal and written communication skills, for both technical and non-technical audiences, • Specialized engineering knowledge and experience in mechanical and structural failures, sensor systems and setups, and materials characterization techniques is desired, • Professional Engineer license or the ability to obtain professional licensure is desired Additional Information Additional information For more information, please visit www.socotec.us Job Type: Full-Time All your information will be kept confidential according to EEO guidelines. Socotec is an equal opportunity employer committed to diversity and inclusion in the workplace. SOCOTEC is an Equal Opportunity Employer. SOCOTEC is an Equal Opportunity Employer.

Job Description About Power Survey, an Osmose Company Headquartered in Secaucus, NJ, Power Survey is the industry leader in providing mobile contact voltage detection services to major utilities in North America and Europe. Power Survey’s unique, groundbreaking technologies and services improve the safety, reliability, and efficiency of electric distribution systems. About Osmose Founded in 1934, Osmose Utilities Services, Inc. is the market-leading provider of critical inspection, maintenance and restoration services for utility and telecom infrastructure in North America. Osmose’s services include wood pole inspection, treatment and restoration, steel structure assessment and rehabilitation, structural engineering services, and other ancillary services. Osmose employs approximately 3,600 people including 3,000 field employees across the country, as well as professional engineers, corrosion experts and software developers at its headquarters in Peachtree City, Georgia. Overview Power Survey is currently seeking a Field Technician to work the night shift responsible for detecting and testing potential contact voltage hazards within assigned area using vehicle-mounted and hand-held equipment and devices. Typical work week is Sunday – Thursday nights from 8:30pm to 5:30am. Responsibilities • Read and interpret schematics of distribution equipment and develop appropriate survey route overlays., • Operate GPS mapping and tracking system; develop route plan within targeted geographic region., • Recognize when the sensor deviates from normal operations; calibrate and maintain system as needed., • Operate, maintain and use an array hand-held measuring equipment used to confirm and assess hazard voltages appearing on publicly accessible surfaces., • Interpret observations and follow standardized processes to locate the source of the stimulus that is triggering the voltage sensor system., • Take accurate measurements and communicate results to utility repair crews. Qualifications • Previous related experience in Field operations working in all weather conditions. Prior night shift experience is a plus but not required., • Must have previous experience working in positions that require self-direction and independent work as well as working in teams., • Excellent interpersonal skills including the ability to maintain perspective and respond in a professional manger when faced with challenging or stressful situations., • Solid oral and written communication skills., • Basic Microsoft Office skills utilizing Word, Excel, and Outlook., • Must pass background check, pre-employment drug test and have a clean driving record.Benefits Come grow with us! Full-time employees enjoy a comprehensive benefits package that includes: • Medical Insurance and Health Savings Account with company contribution, • Dental, Vision, Life Insurance, STD, LTD, Critical Illness Plan and more!, • 401(k) with excellent company match, • Paid time off Osmose is an Equal Opportunity employer. EOE M/F/Disabled/Vet

Job DescriptionBenefits: • 401(k), • Bonus based on performance, • Competitive salary, • Flexible schedule Sleep Technician Trainee (Paid Training Provided) Company: iSleep Management / Sleep Diagnostics Program Location: [Insert Location e.g., Fort Lauderdale, FL or Hybrid] Job Type: Full-Time / Part-Time Position Overview We are seeking a motivated and detail-oriented Sleep Technician Trainee to join our growing sleep medicine team. This is an excellent entry-level opportunity for individuals interested in healthcare, sleep diagnostics, and patient care. No prior experience required we will train the right candidate. Paid training is provided. This role offers a clear career path to a full Sleep Technician position with increased compensation upon successful completion of training. Key Responsibilities • Assist with setup and breakdown of sleep study equipment (in-lab and/or home sleep testing), • Prepare patients for sleep studies, including sensor placement and education, • Monitor patients during studies and ensure data quality, • Learn to score and analyze sleep data (training provided), • Maintain accurate documentation and patient records, • Clean, sanitize, and maintain equipment, • Communicate with patients regarding procedures and expectations, • Support CPAP setup and patient follow-up when needed Qualifications • High school diploma required; Associates or Bachelors degree preferred, • Interest in healthcare, respiratory therapy, or sleep medicine, • Strong attention to detail and ability to follow protocols, • Comfortable working overnight shifts (if applicable), • Basic computer skills, • Excellent communication and patient interaction skills Preferred (Not Required) • Background in healthcare (CNA, MA, Respiratory Therapy, etc.), • Bilingual (English/Spanish) strongly preferred, • Prior experience with patient care or medical equipment Training & Career Growth • Paid, hands-on training provided, • Structured pathway to become a Sleep Technician, • Promotion to Sleep Technician role with higher pay upon completion of training, • Opportunity to pursue RPSGT certification, • Long-term growth within a rapidly expanding sleep medicine organization Compensation & Benefits • Competitive hourly pay during training, • Salary increase upon promotion to Sleep Technician, • Performance-based growth opportunities, • Flexible scheduling (if applicable), • Health benefits (if applicable) Why Join Us • Clear entry into healthcare with no experience required, • Get paid while you learn a specialized skill, • Defined path to higher-paying role, • Supportive and team-oriented environment, • Make a direct impact on patient health and quality of life

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:Thea Energy is seeking a Director - Control, Instrumentation and Diagnostics (CID) Systems to lead CID system design and execution for the company’s upcoming Eos integrated stellarator. This leader will manage and grow three tightly coupled engineering groups:- Control Systems (Eos control system architecture and integration, including fast data acquisition, PLC automation, Safety and Interlock Systems)- Instrumentation Systems (instrumentation backbone across the facility, including sensors, signal architecture, wiring, grounding, shielding, tagging, and commissioning practices)- Diagnostics Systems (plasma diagnostics control and acquisition, including real time DAQ, timing and synchronization, and low latency data pipelines for plasma control) This role will own the end-to-end delivery of CID systems from architecture and requirements through detailed design, prototyping, vendor engagement, test, installation support, and commissioning readiness. The Director will serve as a key cross-functional partner to systems engineering, controls and software, mechanical engineering, safety, and program management, ensuring electrical designs are buildable, testable, safe, and integrated. As part of a rapidly growing team, you’ll be part of the organizational build-up of a leading fusion energy company. This role will have a high degree of autonomy and must be able to move quickly. The Thea Energy team is comprised of self-motivated, creative, and fun individuals with an excitement for solving complex problems.Key Responsibility Areas: • Lead and mentor a multi-disciplinary organization spanning control systems, instrumentation, diagnostics acquisition, embedded software, and real time integration, including hiring, performance management, career development, and team structure., • Establish engineering operating rhythm: planning, prioritization, technical reviews, staffing plans, and decision-making processes., • Set technical direction and ensure consistent engineering quality across requirements, architecture, implementation, verification, and documentation., • Own the Eos CID architecture, including functional, physical, communications, timing, and data flow boundaries across fast DAQ, supervisory control, PLC automation, safety interlocks, and diagnostics acquisition., • Lead technology selection for real time control, SCADA, networking, timing, and data management, and ensure consistency across integration protocols and data interfaces., • Own the technical interface to external vendors and collaborators providing controls hardware, diagnostics hardware, and instrumentation deliverables, including technical specifications, design reviews, and acceptance participation., • Oversee development and integration of the Eos control system across major subsystems, ensuring deterministic behavior, fault handling, and operational sequencing., • Own Safety and Interlock System philosophy, including safety class logic where required, participation in hazard analyses, and alignment to functional safety practices and standards., • Own instrumentation architecture across the facility: sensor selection, signal types, isolation strategy, signal conditioning, grounding, shielding, and segregation practices for noisy, high power environments., • Oversee diagnostic acquisition architecture end to end, from front end sensors and conditioning through digitizers, FPGA processing, data streaming, and archiving in support of plasma operations and feedback control., • Partner with systems engineering to translate device requirements into CID requirements, interface definitions, and verification plans., • Run evidence based technical gates and design reviews, with clear entry and exit criteria and configuration control., • Own delivery artifacts such as requirements, interface control documents, design packages, test plans, and acceptance evidence to support procurement, installation, and commissioning., • Maintain a strong safety culture including machine protection thinking, hazard analysis inputs, and design choices that support safe installation and operations., • Provide hands on leadership in lab and field environments, coordinating with technicians and test teams for build, wiring, installation support, and debug.Ideal Experience & Skillsets:, • Bachelor’s degree or higher in Electrical Engineering, Controls, Computer Science, Physics, or equivalent., • 10 or more years of relevant experience spanning two or more of the following: integrated control systems, industrial automation, fast data acquisition, instrumentation systems engineering, diagnostics acquisition, real time embedded software., • 5 or more years of engineering management experience leading multi team organizations, including hiring and performance leadership., • Demonstrated experience owning complex system development from architecture through prototype validation and integration., • Strong foundation in safety and high reliability engineering practices, including interlocks, alarms, fail safe design, and disciplined documentation., • Strong cross functional communication skills and experience driving technical decisions across physics, mechanical, electrical, safety, and program teams., • Exceptional work ethic and communication skills., • Experience delivering CID systems for fusion devices, accelerators, advanced nuclear, or other large scientific facilities with tight timing and data fidelity requirements., • Experience with EPICS or TANGO, and industrial integration protocols such as OPC UA, DDS, Modbus, and deterministic timing networks., • Experience with functional safety workflows and standards driven PLC systems engineering., • Experience with FPGA based acquisition and low latency streaming pipelines for real time feedback and machine protection., • Familiarity integrating AI and digital twin capabilities into supervisory control and operations workflows., • Control frameworks and integration: LabView, EPICS, TANGO, OPC UA, DDS, Modbus, TCP IP., • PLC platforms: Siemens TIA Portal, Beckhoff TwinCAT, Allen Bradley, Codesys, IEC 61131 3 practices., • Timing and synchronization: White Rabbit, IEEE 1588 PTP., • Data acquisition and diagnostics: PXIe digitizers, FPGA platforms, event and timestamping frameworks, data streaming infrastructure., • Embedded and middleware software: real time embedded Linux and real time operating systems, C and C++, distributed orchestration tooling., • Instrumentation design and documentation: AutoCAD Electrical, EPLAN, tag databases, input and output lists, cable schedules and loop diagrams.LI-RD1Company Benefits:, • Salary range $120,000-$240,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options, • 20 days PTORequirements:, • Ability to occasionally lift up to 50 lbs., • Ability to perform activities such as typing, standing, or sitting for extended periods of time., • Willingness to occasionally travel or work required nights/weekends/on-call., • Ability to work in a facility that contains industrial hazards including heat, cold, noise, fumes, strong magnets, high voltage, high current, pressure systems, and cryogenics.It’s not necessary to meet all of the skillsets outlined above. Please feel free to send us a note and tell us why you would still be a great fit for this role or Thea Energy. Diversity and Inclusion: Thea Energy is an equal opportunity employer committed to creating a company of diverse backgrounds. By creating a diverse environment, we will bring new ideas and approaches to solving some of the world’s hardest (and most important) problems. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity or expression, national origin, family or marital status, age, disability, veteran’s status, or other characteristic protected by applicable laws and regulations. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job 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 www.coreweave.com.What You'll Do To accelerate datacenter deployment and management, CoreWeave is expanding its firmware engineering team to focus on developing and maintaining OpenBMC-based firmware for our next-generation Baseboard Management Controllers (BMCs). As a Senior Firmware Engineer, you'll design, implement, and maintain embedded firmware features that enable secure, scalable, and reliable control across CoreWeave's high-performance compute infrastructure. You'll work independently on complex components, collaborate closely with cross-functional teams, and help set best practices for firmware quality and performance. Key Responsibilities • Design & Implement: Develop and enhance OpenBMC firmware in C++ for CoreWeave's custom server platforms, contributing to key subsystems such as sensor management, power and thermal control, networking, and system monitoring., • Integrate & Debug: Collaborate with hardware design, platform software, and reliability teams to integrate firmware with new hardware and validate performance across diverse environments., • Optimize: BMC Performance and Harden Security, • Root Cause Analysis: Perform deep system-level debugging using tools such as GDB, JTAG, or logic analyzers to resolve cross-layer issues between hardware, firmware, and OS., • Automate & Validate: Contribute to continuous integration and automated testing frameworks for OpenBMC build and validation., • Document & Share: Maintain clear technical documentation and participate in design reviews to ensure consistency and maintainability across the firmware codebase., • Collaborate Broadly: Partner with other ICs and technical leads across CoreWeave's infrastructure engineering, hardware design, and operations teams to align firmware capabilities with platform and datacenter goals. Who You Are Minimum Qualifications • Experience: 4+ of professional experience in firmware or embedded systems development, including direct work with Linux-based OpenBMC firmware., • Education: Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field. Technical Skills: • Proficiency in C/C++ for embedded systems., • Hands-on experience with OpenBMC, Yocto Project, and embedded Linux environments., • Familiarity with hardware interfaces and protocols (I2C, SPI, UART, GPIO, IPMI, DMTF Redfish), • Experience with hardware bring-up, board-level debugging, and sensor integration., • Comfort with Linux kernel configuration, device trees, and BSP-level integration., • Working knowledge of source code control system such as Git, • Comfort with debugging tools such as GDB JTAG and debugging over serial or remote consoles., • Basic scripting skills in Python or Bash for build automation and validation., • Strong problem-solving and analytical thinking; able to break down complex system-level issues., • Communicates effectively with peers across hardware, firmware, and operations teams., • Self-driven with a focus on delivering high-quality, maintainable code., • Thrives in a fast-paced environment and balances multiple priorities effectively.Preferred Qualification, • Experience developing CI/CD pipeline for firmware builds and regression testing, • Exposure to large-scale datacenter or HPC environments, • Contributions to open-source firmware projects or upstream Linux development The base salary range for this role is $153,000 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, • A work culture focused on innovative disruption Our Workplace 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: careers@coreweave.com. 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 Description In today's dynamic worksites, seamless collaboration between people and machines is essential. FORT's platform ensures safe, secure, and dynamic control that surpasses legacy systems and next-generation AI capabilities. While autonomous machines offer significant advantages, they also introduce new safety challenges. FORT addresses these concerns by providing solutions such as the Wireless E-Stop, which allows operators to instantly stop any machine from a safe distance, enhancing safety during emergencies. Additionally, FORT's Safe Remote Control enables operators to manage heavy machinery remotely, reducing the risk of accidents and improving visibility. By ensuring communications integrity across any network, FORT empowers customers to protect their most valuable assets—people, data, and machines—ensuring they remain safe and secure. The Sr. Product Manager for Ecosystem & Partnerships is a visionary, leadership role focused on the integration and partnership layer that connects FORT to the broader physical AI world: OEM robotics platforms, channel partners, infrastructure providers, system integrators, and the emerging AI platforms reshaping how autonomous machines are deployed. Strategic Leadership & Product Vision • Roadmap Ownership: Define and execute the 12-month ecosystem roadmap, prioritizing partner integrations, platform extensibility, and developer experience investments that drive platform adoption and market differentiation., • Partner Strategy: Build and maintain a structured view of the partner landscape: OEMs, system integrators, channel partners, and AI platform providers, identifying where FORT can become the embedded standard and sequencing investments accordingly., • Operator Interface Ecosystem: Own the product strategy for FORT's handheld operator interface ecosystem, ensuring the platform supports the full range of deployment environments: from warehouse floor operators to field integrators, with the right interface, SDK, and configurability story., • Market Intelligence: Track shifts in the physical AI, robotics, and industrial automation landscape, platform consolidations, new deployment verticals, regulatory changes, and translate them into proactive roadmap decisions before the market demands them.Technical Execution & Ecosystem Governance, • Integration Architecture: Define the integration specifications, API contracts, and data exchange standards that allow partners to embed FORT capabilities cleanly into their platforms: including hardware interfaces, telemetry pipelines, and operator-facing software., • Developer & Integrator Enablement: Build the product scaffolding that enables OEMs, channel partners, and system integrators to deploy FORT solutions at scale: SDKs, configuration tooling, onboarding frameworks, and developer documentation in partnership with the Technical Content Lead., • Cross-Platform Coordination: Serve as the integration layer between FORT's internal product pillars, Control, & Cloud, and external ecosystem requirements, managing cross-team dependencies and sequencing partner deliverables without breaking internal release cadences., • Quality & Validation: Partner with Engineering and QE to define integration acceptance criteria and validation protocols, ensuring partner integrations meet FORT's safety, reliability, and performance standards before they reach production deployments.Stakeholder & Lifecycle Management, • Executive Communication: Present ecosystem strategy, partner portfolio status, and integration progress to executive leadership, translating complex technical and commercial dynamics into clear business impact., • Partner Governance: Maintain structured oversight of the partner portfolio including integration status, roadmap dependencies, and commercial milestones. Surface blockers early and drive resolution across internal and external stakeholders., • Feedback Integration: Monitor partner deployment outcomes, field data, and support trends to identify systemic platform gaps. Feed structured market signal back into the product planning cycle., • Go-to-Market Support: Partner with Marketing and Sales to develop ecosystem narratives, partner launch playbooks, and technical collateral that position FORT as the platform of record for physical AI safety and control.Qualifications, • Experience: 5+ years of experience in Product Management, Technical Partnerships, or Business Development within robotics, industrial automation, IoT, or physical AI platforms, with a demonstrated track record of building and scaling partner ecosystems., • Platform Monetization: Proven ability to design and execute commercial models for embedded software/safety modules (e.g., licensing, per-robot, platform fees), focusing on translating safety capabilities into a revenue line within a partner's compute platform., • Technical Fluency: Comfortable making decisions at the intersection of APIs, sensor integration, telemetry, edge computing, and AI inference. Does not need to write code but must be credible in technical partner conversations., • AI-First Mindset: Understands how AI platforms connect to physical machine control and where FORT fits as the safety and control layer that makes autonomous systems trustworthy. Applies AI tools actively to accelerate their own work., • Embedded Ecosystem Experience: Expertise in integrating software or safety modules into third-party compute or silicon stacks. Proven ability to manage technical integration, commercial structures, and GTM strategies for edge AI and safety-rated platforms., • Technical Toolset: Proficiency in Monday.com and Jira for roadmap and project management; experience with API design review, partner integration documentation, and developer platform tooling., • Leadership: Strong collaborative skills with the ability to drive alignment across Engineering, Sales, and executive leadership without direct authority — through clarity, credibility, and consistent follow-through., • Drive: Deeply mission-aligned. Energized by the challenge of making the physical world safer and more productive through intelligent machine systems, and by building the ecosystem that makes that possible at scale.

Job DescriptionCareer Renew is recruiting for one of its clients an Applied ML Engineer - this is a hybrid role in Arlington, VA or Boston, SF Bay Area or NY. This role will require a security clearance. Salary range:190-250K USD yearly plus benefits plus equity. We are seeking a versatile and pragmatic Applied ML Engineer to contribute across a broad range of machine learning and perception tasks that power our edge-intelligent maritime systems. This role requires someone comfortable wearing many hats—from working with computer vision and sensor fusion models to building lightweight inference pipelines, designing experiments, and fine-tuning model behavior in production. You’ll work closely with a cross-functional team spanning hardware, software, and product to deliver real-world AI solutions that are robust, efficient, and reliable under challenging field conditions. This is an ideal position for someone who thrives on variety, rapidly shifting problem domains, and turning rough ideas into deployed systems. Key Responsibilities: Design, train, and evaluate models for tasks ranging from object detection and classification to anomaly detection and sensor-based inference. Optimize model architectures and inference pipelines for performance on embedded/edge hardware under compute and bandwidth constraints. Contribute to dataset development and labeling strategy, including data augmentation, synthetic data generation, and domain adaptation. Support prototyping and experimentation across a variety of AI subfields, including computer vision, signal processing, and multi-modal fusion. Implement real-time pipelines for processing sensor data on-device and in cloud environments. Develop tools and scripts for benchmarking, data visualization, and debugging ML model performance. Stay current with the latest research and tools in machine learning and evaluate their applicability to our product roadmap. Participate in code reviews, team knowledge sharing, and internal technical documentation. Must be eligible to obtain/maintain a security clearance. Qualifications (Preferred): Master’s or PhD in Computer Vision, Machine Learning, Robotics, or related field. Bachelors candidates considered on a case by case basis. 4+ years of experience building and deploying machine learning models in production environments. Proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow. Comfortable working with a range of data types (images, time-series, geospatial, RF, etc.). Experience with edge or embedded ML deployments, including model compression and hardware-aware optimization. Familiarity with common ML practices including cross-validation, hyperparameter tuning, and model monitoring. Excellent debugging, experimentation, and problem-solving skills. Strong collaboration and communication skills with both technical and non-technical team members. Bonus: experience in maritime, aerospace, or other remote sensing domains.

Job DescriptionTagup is a Series A defense technology company, founded at MIT, that is delivering logistics decision advantage with next-generation AI. It all started on a balcony at MIT, with an idea about monitoring asset data via the cloud using passive RFID tags (TAG) - sent up (UP) to the cloud. Our product Manifest— is the operating system for the physical world. We’re a team of engineers and data scientists driven by our mission to use reinforcement learning and probabilistic modeling to optimize military logistics and critical infrastructure, ensuring our customers get the best performance they can out of the resources. You make a real world impact where your code won't just optimize a shopping cart or a compute primitive. It will optimize supply chains for the U.S. military and prevent catastrophic failures in critical infrastructure. We do not use proprietary tooling or build systems and deployment pipelines. We build on modern, open standards you can apply in any space. You won't just own a slice of a service. You will own entire architectural domains—from API design and data modeling to deployment and monitoring strategies. You’ll work directly with PhD-level data scientists and former special operators. We value high-velocity decision-making over "approval chains." The Role You know how to operate at scale. You live by ownership and bias for action. But working within the confines of a massive company or cloud provider, your scope is often limited to a single service, proprietary internal tooling, and endless operational reviews. This is a "0 to 1" role. We don't need you to maintain a legacy service with 10 years of tech debt. We need you to architect the core platform that ingests, processes, and acts on billions of data points from the physical world. It's an opportunity to escape the service team grind.What You’ll Build • Tagup AI Agent: Optimize complex NL queries and time-series data storage to ensure sub-second latency for our AI models., • Core Architecture: Design and implement high-performance REST APIs and microservices that power the Manifest platform., • Data Ingestion at Scale: Build the "nervous system" of our platform—robust ETL pipelines that ingest high-frequency sensor data from diverse industrial assets., • Operational Excellence: Bring your "Bar Raiser" mentality to our infrastructure. Implement sophisticated monitoring, alarming, and automated CI/CD pipelines to ensure 99.99% availability without the bureaucracy.Required Skills, • You treat architecture as an evolving being that morphs as customers scale and storage/compute/security needs change., • You understand "Scale" vs. "Complexity": You know that scale isn't just about TPS; it's about handling complex data relationships., • You want to mentor: You are ready to take the "Tech Lead" mantle, mentoring junior engineers and setting the standard for code quality and design patterns.The Tech Stack, • AI: pyro, torch, MCP, Langchain using Claude., • Languages: Python (FastAPI, SQLAlchemy, Pandas) – We value your software engineering fundamentals and ability to learn over which specific languages you have experience in., • Data: PostgreSQL, Redis., • Infra: AWS (EC2, RDS, EKS), Kubernetes, Terraform.Salary and BenefitsThe estimated salary range for this position is between $140,000 to $180,000 annually plus early equity (through options) based on your level. As a rapidly expanding technology company, we extend part-ownership to all team members through an Employee Stock Option Plan. We strive to provide a competitive salary and benefits package that aligns with our employees’ experience and qualifications. Our primary objective is to attract and retain top talent, and we firmly believe in compensating our employees fairly for their invaluable contributions. Additionally, we offer comprehensive health insurance benefits, access to the company’s 401K plan, and foster a team-oriented work environment with regular company outings! Tagup is an equal opportunity employer and individuals seeking employment with us are considered without regard to race, color, religion, national origin, age, sex, marital status, physical or mental disability, veteran status, gender identity, sexual orientation, or any other characteristic protected by law. Citizenship: Due to the nature of our work with the U.S. Department of Defense, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor visas at this time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description ROLE DESCRIPTION The Logistics & Operations Coordinator is the operational backbone of Wesper’s fulfillment and logistics function, working directly alongside the Logistics Manager on a small, high-ownership team. This role is primarily focused on managing day-to-day 3PL communication, ensuring order accuracy across two daily push cycles, coordinating returns and RMA processing, and maintaining precise inventory records. The right person is hands-on, detail-oriented, and comfortable operating across multiple systems in a fast-paced environment. This role will work approximately 20 hours per week with core working hours between 10-6 pm ET. This is an in - person role at our LIC facility. WHAT YOU WILL BRING • Attention to detail catching order discrepancies before they ship, • 3PL fluency: you've worked with third-party logistics partners and know how to communicate clearly across email and WMS ticketing systems., • Warehouse and inventory experience, you've managed incoming and outgoing orders and kept inventory records accurate across systems., • Hands-on returns inspection, comfortable physically receiving, inspecting, and logging returned or damaged units one by one., • Quality mindset, • Deadline discipline you've worked in environments with hard daily cutoffs RESPONSIBILITIES 3PL Communication & Coordination • Serve as the primary daily point of contact for two active 3PL partners, with a third coming online in June 2025., • Communicate shipment instructions, schedules, and exception resolutions primarily via email and 3PL WMS ticketing systems., • Attend weekly 3PL coordination meetings and ensure follow-through on all action items., • Track inbound and outbound shipments, proactively resolve delivery exceptions, and keep the Logistics Manager informed., • Manage 3PL support tickets from open to close, maintaining clear documentation throughout.Inventory Management, • Maintain accurate inventory records across Salesforce and the 3PL WMS., • Use Excel to log internal inspection results and RMA tracking data., • Monitor 3PL component stock levels and proactively initiate replenishment shipments when thresholds are reached., • Support regular cycle counts and inventory reconciliation activities., • Coordinate stock movement related to RMA, refabrication, and order fulfillment. Refabrication Coordination • Conduct hands-on inspection and sorting of returned or defective units as part of the RMA workflow., • Coordinate with production and quality teams to ensure timely completion of repair or rework tasks., • Verify all refabricated units meet quality standards before re-shipment. RMA Handling & Returns Processing • 3PL RMA and Regular customer returns, • Maintain detailed RMA records in Excel and collaborate with quality and production teams to address recurring product issues., • Coordinate return, replacement, or repair actions according to Wesper’s RMA policyOrder Verification & Fulfillment, • Perform daily order sanity checks before each push cycle verifying product type, quantity, and destination., • Identify order discrepancies and manually post irregular orders between Salesforce and the 3PL WMS., • Communicate order issues promptly with sales, operations, and warehouse teams before shipment. REQUIRED SKILLS AND QUALIFICATIONS • 2+ years of experience in logistics coordination, warehouse operations, or order management., • Hands-on experience working with 3PL partners, including day-to-day communication and WMS ticket management., • Proficiency in Excel or Google Sheets for logging, tracking, and reconciliation tasks., • Strong attention to detail — comfortable catching and correcting order discrepancies before they escalate., • Excellent written communication skills; the majority of 3PL coordination is conducted via email., • Ability to lift 60 lbs, • Ability to manage multiple daily deadlines (order push cycles) and shifting priorities., • Based in or able to reliably commute to Long Island City, NY (on-site role).BONUS ITEMS, • Experience with CRM/ERP in an operations context., • Background in RMA processing, reverse logistics, or quality inspection., • Bachelor’s degree in Supply Chain, Logistics, Business, or a related field. OUR TEAM - Built for Good We pride ourselves on transparent communication— open discussion is critical to our performance and is how we continue to grow. We focus on accountability, humility, and constant learning. We believe in finding a better way through the use of data and attention to detail. We work towards making sleep medicine easy and we do it for our users. COMPENSATION & BENEFITS The rate range for this position is $17- 21 / hour plus benefits **This range provided is a guideline and not a guarantee of compensation. Other factors that are involved in offer decisions include and not limited to: Candidate experience, qualification, and internal equity of the team. • Competitive salary, • Global team, • Friendly, nerdy coworkers, • Daily stand-ups and open door policy, • Encouragement to pursue initiatives, • Flexible paid time off, • Casual dress, • Support for personal development, • Referral bonusesABOUT WESPER Mission driven startup aiming to make accurate sleep testing more convenient, affordable, and accessible. Sleep disorders are a hidden epidemic which reduces quality and length of life for more than 10% of the population. The difficulty in diagnosing and monitoring sleep conditions is a major obstacle to the health of 100Ms of people worldwide. Wesper is transforming the sleep industry by shrinking an entire sleep lab to a single wearable patch, helping millions live better, longer lives. Our platform delivers consumer comfort with clinical performance by using cutting-edge sensor design, a cloud-native suite of state-of-the-art algorithms and a sleek mobile app, creating a seamless experience for both patient and doctor. Please submit an online application only, our customer support team is unable to answer questions about the role. Powered by JazzHR XBtHRByWhc

Job DescriptionJob Summary We are hiring a Forward Deployed Software Engineer to build and deploy mission‑critical autonomous systems, C2 (Command and Control) software, and full‑stack applications used in real‑world defense and security operations. This role is ideal for engineers who want to work with AI/ML, autonomous platforms, sensor fusion, real‑time data, and front‑end systems built with React, Typescript, and modern JS frameworks. This is a high‑impact engineering role where your software will be deployed on edge hardware, integrated with radar, RF, EO/IR sensors, and used in operational environments. Why Candidates JoinHigh‑Impact Mission • Build autonomous defense systems that protect critical infrastructure, • Develop software that counters real‑world threats like drone attacks, • Work on systems that directly save lives and secure civilian/military sitesAdvanced Technology, • Radar, RF, EO/IR sensors, • AI/ML models, autonomy pipelines, agentic decision engines, • Edge computing, hybrid cloud, distributed systems, • Python, Rust, Java, C++, Typescript, ReactFull‑Stack Autonomy Work, • Sensor integration, • Real‑time data visualization, • C2 interfaces, • Edge deployment, • Robotics and UxV controlReal Deployment, • Your code runs on real hardware, • Tested in real operational environments, • No theoretical R&D—everything shipsKey Responsibilities, • Build, test, and deploy full‑stack C2 software for autonomous systems, • Integrate sensors, effectors, UxVs, and AI/ML decision systems, • Develop front‑end interfaces using React, Typescript, JavaScript, • Build real‑time data visualizations (WebSockets, streaming data), • Deploy software to cloud, on‑prem, and hybrid environments, • Work with sensor fusion, autonomy engines, and robotic control systems, • Solve integration, networking, security, and CI/CD challenges, • Collaborate with AI, robotics, UX, and systems engineering teamsRequired Skills & Experience, • 2+ years professional software engineering experience, • 2+ years deploying software to cloud/on‑prem/hybrid environments, • Strong proficiency in Typescript, JavaScript, React, Python, Rust, or Java, • Experience with front‑end frameworks (React required), • Experience with CI/CD, APIs, Linux, networking, authentication, • Bachelor's/Master's in CS, Robotics, EE, or equivalent experience, • Ability to obtain or hold a US Security Clearance, • Ability to travel 25–75%Preferred Skills, • Experience with 3JS or 3D visualization frameworks, • Experience with real‑time data rendering, • Familiarity with Docker, Kubernetes, containerized deployment, • Experience with AI/ML, autonomy, robotics, or sensor systems, • Strong interest in defense, national security, or mission‑driven engineeringIdeal Candidate Profile, • 2–4 years of front‑end or full‑stack engineering, • Strong React + Typescript background, • Comfortable with real‑time systems and streaming data, • Mission‑aligned and excited about defense‑related work, • Eligible for US Security Clearance

Job DescriptionJob Summary We are hiring a Forward Deployed Software Engineer to build and deploy mission‑critical autonomous systems, C2 (Command and Control) software, and full‑stack applications used in real‑world defense and security operations. This role is ideal for engineers who want to work with AI/ML, autonomous platforms, sensor fusion, real‑time data, and front‑end systems built with React, Typescript, and modern JS frameworks. This is a high‑impact engineering role where your software will be deployed on edge hardware, integrated with radar, RF, EO/IR sensors, and used in operational environments. Why Candidates JoinHigh‑Impact Mission • Build autonomous defense systems that protect critical infrastructure, • Develop software that counters real‑world threats like drone attacks, • Work on systems that directly save lives and secure civilian/military sitesAdvanced Technology, • Radar, RF, EO/IR sensors, • AI/ML models, autonomy pipelines, agentic decision engines, • Edge computing, hybrid cloud, distributed systems, • Python, Rust, Java, C++, Typescript, ReactFull‑Stack Autonomy Work, • Sensor integration, • Real‑time data visualization, • C2 interfaces, • Edge deployment, • Robotics and UxV controlReal Deployment, • Your code runs on real hardware, • Tested in real operational environments, • No theoretical R&D—everything shipsKey Responsibilities, • Build, test, and deploy full‑stack C2 software for autonomous systems, • Integrate sensors, effectors, UxVs, and AI/ML decision systems, • Develop front‑end interfaces using React, Typescript, JavaScript, • Build real‑time data visualizations (WebSockets, streaming data), • Deploy software to cloud, on‑prem, and hybrid environments, • Work with sensor fusion, autonomy engines, and robotic control systems, • Solve integration, networking, security, and CI/CD challenges, • Collaborate with AI, robotics, UX, and systems engineering teamsRequired Skills & Experience, • 2+ years professional software engineering experience, • 2+ years deploying software to cloud/on‑prem/hybrid environments, • Strong proficiency in Typescript, JavaScript, React, Python, Rust, or Java, • Experience with front‑end frameworks (React required), • Experience with CI/CD, APIs, Linux, networking, authentication, • Bachelor's/Master's in CS, Robotics, EE, or equivalent experience, • Ability to obtain or hold a US Security Clearance, • Ability to travel 25–75%Preferred Skills, • Experience with 3JS or 3D visualization frameworks, • Experience with real‑time data rendering, • Familiarity with Docker, Kubernetes, containerized deployment, • Experience with AI/ML, autonomy, robotics, or sensor systems, • Strong interest in defense, national security, or mission‑driven engineeringIdeal Candidate Profile, • 2–4 years of front‑end or full‑stack engineering, • Strong React + Typescript background, • Comfortable with real‑time systems and streaming data, • Mission‑aligned and excited about defense‑related work, • Eligible for US Security Clearance

Job Description Fairstead is a purpose-driven real estate firm dedicated to building affordable communities across the country. Headquartered in New York, with offices in Colorado, Florida, and Washington DC, Fairstead owns and manages a portfolio of more than 27,000 apartments across 28 states. As an integrated owner, operator, and innovator, Fairstead brings development, construction, and property management under one unified platform to deliver high-quality affordable housing that serves our residents at scale. At Fairstead, we believe affordable housing should be thoughtfully designed, professionally managed, and responsibly operated. We seek to create and preserve housing that serves residents while delivering long-term value to communities, partners, and stakeholders. Fairstead challenges industry norms through our tech-forward, entrepreneurial approach to affordable housing. In addition to core real estate capabilities, we operate innovative service lines designed to improve resident outcomes, strengthen communities, and drive operational efficiency. We embrace digital transformation, data-driven decision-making, and emerging technologies, including AI, to build scalable systems that support sustainable growth, grounded in a culture of entrepreneurship, innovation, partnership, dedication, and integrity. The Senior Full Stack Engineer, IoT will design, build, and own the end-to-end technology stack powering Fairstead's IoT platform — a proprietary system that connects sensors in our buildings to the data infrastructure that drives operational decisions across the portfolio. This role spans every layer of the stack: from device firmware and network configuration through message brokering and data normalization to storage, analytics, and user-facing applications. This is a foundational hire. Fairstead is building its IoT capability in-house to gain full visibility and control over its technology stack. The Senior Full Stack Engineer will be the technical lead responsible for architecting this platform — designing a modern, open-standards-based infrastructure that Fairstead owns and operates. The work starts with a live pilot and scales to a portfolio of 27,000+ apartments across 28 states. Beyond IoT, this role will help shape Fairstead's broader digital strategy, including integration with property management systems and other enterprise platforms. Responsibilities: • Architect and build Fairstead's proprietary IoT data pipeline from sensor to database — including LoRaWAN network server management, MQTT message brokering, event streaming, data normalization, and persistent storage, • Own the full stack: firmware configuration, network layer, ingestion layer, normalization layer, application layer, and data platform, • Design and implement a normalization framework that is device-agnostic and supports multiple IoT use cases (e.g., leak detection, air quality monitoring, submetering) without requiring schema changes, • Build and maintain application services, APIs, dashboards, and monitoring tools that surface IoT data to operations teams, • Evaluate build-vs-buy decisions across the stack, with a bias toward open protocols, portable data formats, and long-term flexibility, • Manage phased insourcing of platform capabilities — including data migration, device provisioning, and coordination with existing vendor partners during transition periods, • Establish end-to-end observability — monitoring device health, network performance, message delivery, and data integrity across every layer, • Integrate IoT systems with Fairstead's property management stack and other enterprise platforms, • Identify and adopt AI tools and emerging technologies across the stack — from AI-assisted development workflows to intelligent alerting, anomaly detection, and automation within the data pipeline Requirements: • 7+ years of professional software engineering experience spanning backend, frontend, and infrastructure, • Hands-on experience building IoT or connected-device systems — from the hardware/firmware layer through cloud infrastructure and user-facing applications, • Strong working knowledge of LoRaWAN, MQTT, and related IoT communication protocols, • Experience with message brokers and event streaming platforms (e.g., Kafka), • Proficiency in TypeScript/JavaScript and Python; familiarity with additional systems languages (C/C++, Go, Rust) is a plus, • Experience with PostgreSQL or similar relational databases; familiarity with time-series data patterns, • Comfortable with containerized deployments (Docker, Kubernetes) and cloud infrastructure (Azure preferred), • Experience with monitoring and observability tools (e.g., Grafana, Prometheus, Loki), • Familiarity with LoRaWAN network server platforms (e.g., ChirpStack) is strongly preferred, • Strong understanding of data pipeline architecture — ingestion, transformation, storage, and serving, • Demonstrated ability to work autonomously and make high-judgment technical decisions in ambiguous, early-stage environments, • Comfortable leveraging AI-assisted development tools and open to incorporating AI/ML capabilities into the platform over time, • Excellent communication skills — able to translate technical architecture into language that non-technical stakeholders understand Preferred Qualifications: • Bachelor's degree in Computer Science, • Prior experience in smart building, proptech, or multifamily IoT companies (e.g., SmartRent, StratIS IoT, Quext, Rently, RealPage, Yardi, or similar), • Experience designing systems with explicit auditability requirements — traceable data handoffs, structured logging, and clear ownership boundaries between layers, • Track record of scaling a system from pilot to production across multiple sites or buildings Exact compensation may vary based on skills, experience, and location. Salary Range$125,000—$185,000 USD Diversity in backgrounds and experiences is key to Fairstead's success. Being an equal opportunity employer is a central tenet of our philosophy that shapes who we are and the communities we serve. Our goal is to ensure competitive total compensation that is commensurate with experience, location, and other market benchmarks. For information about how we use your personal information, including information submitted for career opportunities, please review our Privacy Policy at https://fairstead.com/privacy-policy/

Job DescriptionABOUT US At RADAR, we're transforming the way the world thinks about physical retail. RADAR has raised over $104M from top investors, retailers, and strategics and works with some of the world's retail brands including American Eagle and Gap. We're building the future of in-store experience where every product and every person can be precisely located in real time. Our platform combines RFID and AI to unlock hyper-accurate product visibility and automation at scale. From real-time inventory tracking to seamless checkout experiences, our technology empowers some of the world's largest retailers to streamline operations, reduce loss, and elevate both employee and customer experiences. We're a fast-growing, mission-driven startup where bold ideas, collaboration, and impact are at the core of everything we do. Join us as we reshape the physical world with digital precision, starting with retail and expanding far beyond! OUR VALUES • Mission-Driven: We're transforming retail with cutting-edge technology and building something that truly matters., • Collaborative Team: We thrive on curiosity, shared goals, and solving complex problems together., • High Impact: You'll make meaningful contributions from day one and help shape the future of our product and company., • Clear Communication: We value honesty, humility, and respectful dialogue—everyone's voice matters., • Balanced Lives: We work hard, but not at the expense of well-being. We respect time, boundaries, and life outside of work., • Diverse Perspectives: We believe better ideas come from diverse backgrounds, experiences, and viewpoints., • Empathy-Driven Design: We build with deep respect for our end users, listening closely to their feedback and needs.ABOUT THE JOB This role owns one of RADAR's core product domains: either the platform layer that enables retailers to deploy and integrate RADAR's sensing infrastructure, or the shopper-facing product surface that translates real-time inventory data into in-store conversion outcomes. The scope spans technical platform work (APIs, data contracts, system reliability, retailer onboarding tooling) and applied ML features (behavioral inference, event detection, real-time classification). The work is cross-functional by nature. It requires enough technical depth to have credible conversations about data pipelines, model behavior, and integration architecture, and enough operational grounding to work effectively with the teams responsible for deploying proprietary hardware into live retail environments. Responsibilities: • Platform & Integration, • Own the roadmap for the platform layer that sits between RADAR's proprietary sensing infrastructure and the retailer's existing technology stack, including APIs, event streaming, tag lifecycle management (commission through decommission), zone configuration, and system health observability, • Define the integration model for third-party hardware that supports program enablement: RFID printers, POS systems, and peripheral devices that feed or depend on RADAR's sensing data, • Ensure the platform is designed for sensing modality extensibility beyond RFID; as next-generation hardware introduces additional sensing inputs, the platform's data model and integration contracts need to accommodate them without requiring retailers to re-integrate, • Own retailer onboarding as a product problem: reduce time-to-go-live by improving self-serve configuration tooling, simplifying the integration surface, and reducing the custom engineering work required for each new deployment, • Define API standards and data contracts that downstream retailer systems (WMS, OMS, ERP, POS) can build against reliably, and manage versioning and deprecation in a way that doesn't break active integrations, • Drive platform reliability from a product perspective, defining uptime expectations, degraded-mode behavior, alerting standards, and the accountability model for incidents that affect live retail environments, • Shopper Experience & Conversion, • Own the roadmap for product capabilities that use RADAR's real-time inventory and sensing data to improve the in-store shopper experience, including self-checkout enablement, frictionless returns, fitting room workflows, and in-store shopper analytics, • Define the product layer that connects RADAR's sensing data to shopper-facing activation channels: POS integration, retailer mobile apps, clienteling tools, and retargeting infrastructure, • Drive the shopper analytics product, defining what behavioral signals RADAR's platform can surface (dwell, zone traffic, conversion patterns) and how retailers can act on them through existing CRM, marketing, and operations systems, • Own requirements for ML-driven detection features (motion classification, exit event detection, shopper behavior inference), including evaluation criteria, accuracy thresholds, edge case handling, and the retailer-facing data format, • Define success metrics that bridge the physical sensing layer to measurable shopper outcomes: conversion rate, return rate, shrink reduction, and experience-level KPIs that retailers can attribute to RADAR's capabilities, • Manage the tradeoff between ML inference quality, latency constraints, and the configuration flexibility retailers need to deploy these features across varied store formats, • Cross-Functional Partnership, • Partner daily with engineering on scope, sequencing, and technical tradeoffs; this role requires genuine technical fluency, not just facilitation, • Work with data science to translate ML model outputs into production-ready product features, including threshold calibration, explainability requirements, and edge case handling, • Coordinate with Customer Experience and Deployment Operations on retailer onboarding timelines, integration requirements, and escalated platform issues that have product implications, • Work with Store Planning on deployment sequencing, hardware installation constraints, and the downstream effects of physical infrastructure on software product timelines, • Collaborate with commercial teams to ensure roadmap sequencing supports active retailer commitments and near-term pipeline, • Produce clear written artifacts (specs, decision memos, tradeoff analyses) ABOUT YOURequired:, • 10+ years of overall professional experience, with 5+ years in a product management role, • Demonstrated ownership of a technical B2B product, with platform, API, or integration scope preferred, • Experience taking data-driven or ML-adjacent features from problem definition to production, including defining evaluation criteria and managing model feedback cycles, • Ability to evaluate technical tradeoffs and have substantive conversations with engineering about system design, data contracts, and infrastructure constraints, • Strong written communication; produces clear, self-contained specs and decision documents, • Track record of operating independently across multiple concurrent workstreamsPreferred:, • Experience in retail technology, supply chain, or domains where physical-world sensor data feeds digital systems, • Familiarity with RFID, IoT, or hardware-adjacent sensing platforms, • Experience working alongside hardware engineering teams on next-generation sensor or device products, contributing to product definition, requirements scoping, and roadmap coordination across firmware and physical hardware disciplines, • Prior work on integration or middleware products serving enterprise customers with heterogeneous tech stacks, • Experience defining product metrics in environments where attribution across physical and digital channels is complex, • Comfort operating in environments where software delivery depends on physical deployment timelines and field operations constraintsWHAT YOU'LL DOIn your first 30 days, you will:, • Build a working understanding of RADAR's platform architecture, active retailer programs, and the current state of initiatives across the domain, • Meet and establish working relationships with your primary counterparts across engineering, data science, Customer Experience, and Deployment Operations, • Orient yourself to the existing roadmap, open decisions, and known gaps without yet trying to change directionIn your first 60 days, you will:, • Have a clear point of view on the highest-leverage opportunities and gaps in the domain, with supporting rationale, • Be actively contributing to roadmap planning and sprint-level decisions alongside engineering, • Have identified the metrics and reporting gaps that limit the team's ability to track progress, and have a plan to address themIn your first 90 days, you will:, • Own a domain roadmap that is sequenced, defensible, and aligned with engineering capacity and retailer commitments, • Have at least one initiative meaningfully advanced as a result of your direct involvement, • Be operating as a trusted counterpart to engineering, solutions, and commercial stakeholders, with no significant context gaps remaining At RADAR, your base pay is one part of your total compensation package. The expected base salary range for this position is $140,000-$200,000. Individual pay is determined by work location and additional factors, including job-related skills, experience and relevant education or training.You will also be eligible to receive other benefits including: equity, comprehensive medical and dental coverage, life and disability benefits, 401k plan, flexible time off, and paid parental leave. The pay range listed for this position is a good faith and reasonable estimate of the range of possible base compensation at the time of posting. Research has shown that women & underrepresented minorities are more likely to read lists of requirements and consider themselves unqualified if they don't meet every single one. This list represents what we're ideally looking for, but everyone has unique strengths & weaknesses, and we hire for strength & potential, not lack of weakness. Use of artificial intelligence or a LLM such as ChatGPT during the interview process will be grounds for rejection of your application process.

Job Description Title Cultivation Advisor Location U.S. Remote with Regular Travel Department Commercial Cultivation Advisory Reports To Director of Cultivation Science Job Type Full-Time | Exempt /Salary ABOUT HYDROBUILDER HOLDINGS Hydrobuilder Holdings partners with cultivators across the Controlled Environment Agriculture (CEA) spectrum — from large commercial facilities to independent and emerging growers. Our mission is to help growers improve yield, reduce operating costs and increase profitability by combining curated products, logistics, advisory expertise and integrated technology into one aligned ecosystem. Elevated, our commercial division, is a tech-enabled service platform for CEA operations. Through dedicated Account Executives, Cultivation Advisors, proprietary brands and AI-driven crop optimization tools, Elevated supports professional growers from facility build-out through harvest optimization. Hydrobuilder.com, “The Growers Marketplace,” serves smaller and mid-sized growers with a robust digital platform offering curated products, education and an expanding B2B portal experience. At the core of our innovation is our integrated AgTech program, applying AI, sensor data and lab analytics to deliver actionable insights that improve consistency, efficiency and margins across the cultivation lifecycle. . OVERVIEW OF POSITION The Cultivation Advisor (CA) is an advanced field-based technical authority responsible for optimizing plant health, yield consistency, operational stability, and cost efficiency within licensed commercial cultivation facilities. Building upon the Systems Technician foundation, the CA is authorized to independently execute all field data collection and documentation responsibilities, interpret collected data, and deliver structured cultivation recommendations within Elevated's AgTech Program framework. The CA functions as an embedded agronomic partner — prioritizing service integrity, data continuity, and repeatable optimization processes over transactional engagement. All recommendations must be grounded in documented data, traceable within reporting systems, and aligned with ongoing optimization cycles. KEY RESPONSIBILITIES Advanced Facility Diagnostics • Execute all Systems Technician field responsibilities including plant tissue, water, runoff, nutrient, and pathogen sampling; equipment diagnostics and system validation; environmental measurements and data capture; and facility documentation and asset tracking, • Conduct structured cultivation assessments that go beyond data collection to evaluate systemic performance and identify drivers of operational inefficiency Environmental Performance Analysis • Evaluate VPD, temperature, humidity, and airflow distribution across facility zones, • Identify microclimate inconsistencies and their impact on crop performance, • Assess lighting uniformity, PPFD mapping, and DLI alignment by growth stage, • Diagnose environmental drivers contributing to plant stress or yield inconsistency Water & Fertigation Validation • Assess source water quality across RO, municipal, and well sources, • Review nutrient solution chemistry and mixing accuracy against target parameters, • Validate fertigation system configuration, programming, and delivery timing, • Inspect irrigation distribution, emitter performance, and dosing system calibration Root Zone & Substrate Analytics • Conduct EC and pH sampling across media types and growth stages, • Perform dry-back and hydration pattern analysis to assess irrigation strategy alignment, • Identify root-zone stress indicators including salt buildup and oxygen limitation, • Diagnose irrigation strategy misalignment by cultivar and developmental phase Plant Health Diagnostics • Utilize testing data to identify macro and micronutrient deficiencies or toxicities, • Detect early indicators of pest or pathogen pressure before escalation, • Evaluate crop steering alignment across vegetative and flowering stages, • Assess cultivar-specific performance inconsistencies and recommend corrective adjustments IPM & Pathogen Risk Review • Evaluate sanitation protocols and identify workflow-level contamination risks, • Review spray schedules and biological control programs for efficacy and compliance, • Identify recurring pest pressure patterns and root causes, • Recommend corrective adjustments aligned with approved best practices Equipment Mapping & Lifecycle Documentation • Document lighting systems, environmental controls, fertigation systems, and facility infrastructure, • Record serial numbers, asset identifiers, system modifications, and upgrades, • Maintain equipment continuity records for diagnostic reference and lifecycle planning Data Interpretation & Optimization Strategy Design • Interpret plant tissue, water, runoff, nutrient, and pathogen lab reports, • Identify recurring patterns, systemic inefficiencies, and structural versus anomalous issues, • Correlate environmental, irrigation, and nutrient data to measurable performance outcomes, • Design corrective and preventative cultivation strategies grounded in documented data, • Recommend structured testing cadence aligned with facility goals and optimization cycles Cultivation Health Reporting • Produce a written Cultivation Health Report following each scheduled facility visit, • Summarize environmental, irrigation, and plant health findings with documented risks and priority corrective actions, • Outline measurable next steps, follow-up timelines, and historical performance trends, • Update CRM and internal systems to ensure continuity and data accuracy across all touchpoints Program Integration & Expansion • Recommend appropriate service tier within the Grow Optimization Program based on facility diagnostics, • Convert goodwill assessments into recurring testing or field service plans, • Identify trigger-based optimization tracks spanning plant health, irrigation, and IPM, • Reinforce structured subscription engagement over ad-hoc advisory interactions, • Ensure all operational recommendations align with Elevated standards and supported solutions — the CA does not operate as a product salesperson Cross-Functional Coordination • Collaborate with Commercial Account Executives, Lab Services teams, AgTech and data teams, Cultivation Strategists, Service Advisors, and Operations Coordinators • Align field findings with lab interpretation and communicate risks or escalation needs across departments, • Support coordinated account strategy and ensure data consistency across all functional touchpoints, • Identify performance gaps that justify expanded service engagement Professional Standards & Documentation Discipline • Maintain strict biosecurity and facility etiquette standards across all client sites, • Operate within defined advisory scope; avoid unsupported or undocumented recommendations, • Ensure all guidance is documented, traceable, and communicated professionally in regulated environments, • Protect customer trust through disciplined, data-driven advisory practiceKEY PERFORMANCE INDICATORS (KPIS), • Cultivation Health Report submission within 48 hours of facility visit: ≥ 95%, • Recommendation accuracy and data traceability: 100% of advisory outputs documented in CRM, • Reduction in recurring environmental or plant health issues across assigned accounts: measurable improvement within 90-day optimization cycles, • Structured testing cadence adoption rate: ≥ 90% of active accounts on recurring program track, • Program subscription retention across assigned client base: ≥ 90%, • Documentation completeness and accuracy rate: ≥ 98%, • Safety incident rate: 0 preventable incidentsKEY CHALLENGES, • Translating complex, multi-variable diagnostic data into clear, actionable cultivation strategies while maintaining full documentation discipline and traceability, • Balancing independent advisory authority with the requirement that all recommendations remain grounded in documented data and aligned with Elevated's program framework, • Managing a geographically distributed client portfolio with consistent visit cadence, reporting quality, and biosecurity compliance across diverse facility types and operational maturity levels, • Navigating client relationships in regulated commercial environments where trust, professionalism, and scope discipline are critical to service retention, • Distinguishing recurring systemic issues from isolated anomalies when correlating environmental, irrigation, and lab data across multiple concurrent accountsJOB KNOWLEDGE, SKILLS & EXPERIENCE, • Demonstrated experience in commercial cannabis or controlled environment agriculture required, • Advanced knowledge of plant nutrition, irrigation strategy, crop steering, and environmental control systems, • Experience interpreting lab data — including tissue, water, runoff, and pathogen reports — and translating findings into structured cultivation strategy, • Familiarity with AgTech sensor platforms, fertigation systems, and facility-level diagnostics, • Strong written communication skills; ability to produce clear, professional Cultivation Health Reports, • Experience with CRM systems and digital reporting platforms, • Ability to operate independently and with sound judgment in regulated commercial environments, • Valid driver's license and willingness to travel regularly across assigned service territory, • Ability to lift up to 50 lbs; comfortable working in humid, high-light, active production environmentsCOMPENSATION, • Base Salary: Starting at $75,000 annually, commensurate with experience, • Performance-based incentives, • Company vehicle provided, • Gas reimbursement, • Cell phone stipendBENEFITS, • Comprehensive health, dental, and vision insurance, • 401(k) plan with company match, • Paid time off and holidays, • Professional development and training opportunities, • Flexible work schedule and remote work options In addition to the responsibilities listed above, the employee may be asked to perform other duties as assigned by management.

A defense and science solutions company is hiring a Senior Imaging Scientist to develop both imagery simulation and image processing software.This role requires 8+ years of relevant experience, effective use of Python, and a Bachelor’s degree in related fields.The position is primarily remote but

Job DescriptionCareer Renew is recruiting for one of its clients a Staff Backend Engineer - AI - this is an onsite role in NYC. Salary range: 200-250K USD yearly plus benefits plus equity. We build autonomous manufacturing systems powered by AI and robotics to solve America's manufacturing workforce crisis. We're creating the intelligence layer that lets machines run autonomously so manufacturers can scale production without scaling headcount. You'll join a small in-person team in NYC with deep experience from defense tech and AI who've already shipped products to DoD customers. This is your chance to build the future of American manufacturing at the intersection of ML robotics and distributed systems. As Staff ML Backend Engineer you'll own the entire data pipeline for robotics sensor data and build foundational ML infrastructure. You'll make key technical decisions around storage processing and analytics while functioning as a research engineer to keep ML team iteration cycles fast. This Staff Backend Engineer will build the foundational infrastructure for our machine learning pipelines, focusing on creating robust, scalable backend systems for advanced robotics. The role involves owning the data collection and storage pipeline for robotics sensor data, making key technical decisions, and functioning as a research engineer for the ML team to accelerate their iteration cycles. This is a generalist software engineering role focused on the backend, particularly on building production systems for large-scale data and data pipelines, rather than internal tooling. Tech stack Python, Rust, C++, Distributed Systems, Data Pipelines, PyTorch, TensorFlow, Time-series Databases, GPU Requirements: 7+ years of experience in backend engineering building production data pipelines in Python, Rust, or C++ (Mandatory) Built production data pipelines for large-scale sensor/video data. (Mandatory) Experience with distributed systems handling low-latency, high-throughput data flows (Mandatory) Experience in latency-sensitive environments (e.g. trading systems, real-time industrial/robotics systems) (Nice-to-have) BS/MS in Computer Science or a related technical field. (Mandatory) Strong proficiency in Python, Rust, or C++ for backend / systems development (Mandatory) Experience with time-series or streaming data systems (e.g. sensor data pipelines, event streams) (Mandatory) Familiarity with ML infrastructure or supporting ML pipelines in production (not just model training) (Nice-to-have)

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.

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