Top Robotics Engineer Jobs

Design and lead development of robotics software foundations connecting sensing, planning, control, actuation, middleware, operating systems, and hardware accelerators. Build APIs, SDKs, diagnostics, testing workflows, and production-ready reference platforms for Arm-powered devices. Optimize real-time performance, reliability, safety, and resource usage while mentoring engineers and collaborating across robotics, AI, hardware, product, and customer teams.

Provides technical leadership for designing, integrating, validating, and deploying robotic automation systems for data center operations. Leads transition of robotics concepts from R&D to production, coordinates internal and external partners, guides verification and validation, troubleshoots full-stack systems, and develops scalable software, hardware, and fleet-management capabilities. The role also mentors engineers, influences technical direction, evaluates emerging technologies, and supports deployment across partner and manufacturing sites.

As a Technical Lead, you will provide leadership in vehicle dynamics and controls systems, leading software engineering practices, mentoring engineers, and defining technical visions for GMs Super Cruise system.

As a Senior Robotics Engineer, you will develop vehicle dynamics and controls software for GM's Super Cruise system, lead technical reviews, establish validation strategies, and ensure high-quality software delivery through best practices and teamwork.

Leads robotics and automation strategy, standardization, integration, programming, commissioning, and optimization across North American manufacturing facilities. Evaluates automation opportunities, develops business cases and proof-of-concept solutions, and supports robotic cell design, PLC and vision integration, troubleshooting, safety compliance, and continuous improvement. Provides technical guidance and training to engineering teams while deploying advanced robotics, cobots, smart manufacturing, simulation, and virtual commissioning technologies across multiple plants.

Lead development of perception, mapping, sensor fusion and calibration for field robotics. Improve SLAM for GPS-degraded environments, automate LiDAR/imagery alignment, fuse multi-session point-clouds, and eliminate reliance on manual extrinsic measurements to increase scalability and data quality.

Develop and deploy machine learning systems for humanoid robot manipulation, covering data collection, annotation, synthetic data generation, model training, simulation, hardware deployment, and fine-tuning. Diagnose vision, calibration, sensor fusion, model, and data bottlenecks to improve reliability. Build real-time robotic software using modern computer vision and deep learning, while mentoring engineers and driving architectural excellence across the robotics organization.

Own and expand robotics systems for automated biological research workflows. Integrate robotic arms, instruments, cameras, and sensors; develop reliable software and workflows; apply computer vision and AI for monitoring and autonomy; troubleshoot, calibrate, validate, and improve long-running systems. Collaborate with scientists, engineers, vendors, and hardware developers while creating intuitive tools, documentation, training, and reusable capabilities across robotics platforms.

Design, build, and integrate software for autonomous robots across sensor integration, perception, localization, motion planning, control, and behavioral systems. Develop production robotics software using C++, Python, ROS, simulation environments, and real-time systems. Support hardware integration and field testing, debug concurrent systems, collaborate cross-functionally, conduct design and code reviews, and mentor junior engineers.

Lead development of perception, mapping, sensor fusion, and calibration systems. Improve SLAM for GPS-degraded environments, automate LiDAR and imagery alignment across sessions, eliminate field extrinsic measurements, and improve data quality and scalability for large-scale mapping and analytics delivery.

Design, prototype, test, and iterate in-house four-wheeled and quadruped robotic platforms. Lead mechanical, electrical, and embedded hardware development from rapid prototypes to manufacturable, deployable products, incorporating customer feedback and overseeing reliability and production readiness.

Design and deploy vision and robotics systems for automated wire-harness production. Build perception pipelines (classical CV and/or ML), perform camera/hand-eye calibration, develop and tune robot motion for pick/place, routing, insertion, and termination, and deploy and harden systems on the production floor. Collaborate with mechanical, controls, and production teams to improve cycle time, yield, and reliability.

Leads the physical automation architecture for scalable, self-driving discovery laboratories. Defines robotics, controls, safety, sensors, workcell integration, facility interfaces, simulation, reliability, maintainability, vendor governance, and engineering standards. Provides technical authority across complex automated systems, challenges integrators and vendors, establishes acceptance criteria and lifecycle strategies, supports technology evaluations, and mentors engineers. Partners with scientists, AI, IT/OT, facilities, quality, procurement, and operations teams in regulated research environments.

Designs, integrates, tests, troubleshoots, and improves robotic workcells for automated laboratory discovery workflows. Responsibilities include robot and equipment integration, sensors, actuators, controls interfaces, safety systems, simulation, reliability improvements, FAT/SAT execution, technical documentation, vendor coordination, and root-cause analysis. The engineer collaborates with laboratory scientists, EHS, facilities, IT/OT, operations, and vendors to deliver safe, maintainable, and reliable automation systems.

Supports the design, assembly, testing, deployment, troubleshooting, documentation, and maintenance of automated laboratory and robotic systems. Responsibilities include configuring workcells, testing equipment, supporting FAT/SAT/UAT activities, troubleshooting mechanical and control issues, applying safety and contamination-control practices, improving equipment reliability, and collaborating with laboratory automation scientists, vendors, and engineers in regulated research environments.

Design, develop, test, and deploy AI-powered features and tooling for the CORI robotic surgery platform using ML, generative AI, computer vision, and AI-assisted developer tools. Build integrations, services, APIs, automation, and CI/CD pipelines while ensuring cybersecurity, privacy, quality, and regulatory compliance. Collaborate on architecture, prototyping, evaluation, deployment, and continuous improvement across robotic software and cloud systems.

Provides technical leadership for robotics and automation platforms supporting high-throughput scientific research. Responsibilities include system architecture, robotic and instrument integration, automation software and controls development, requirements definition, risk assessment, verification and validation, and technical advising. The role partners with scientific and engineering teams, improves research workflow reliability and throughput, mentors engineers and scientists, and contributes to robotics standards and platform strategy. This is a full-time, site-based position.

Designs, assembles, integrates, tests, troubleshoots, and improves laboratory instruments, prototypes, fixtures, and automation-enabled research systems. The role combines mechanical, electrical, and mechatronic engineering, experimental testing, documentation, researcher support, and mentoring junior team members. It is a full-time, site-based position supporting biotechnology research at Moderna.

Leads automation and robotics integration for advanced energetic-materials manufacturing. Responsibilities include designing automated workflows and robotic cells, integrating controls and manufacturing data systems, managing vendors, commissioning production equipment, developing technical documentation, supporting production readiness, and ensuring machine safety and compliance. The role directs technicians and coordinates multidisciplinary teams across production, operations, quality, safety, and external integrators.

Design, build, and integrate software for autonomous robots across perception, localization, motion planning, control, sensor fusion, and behavioral systems. Develop production robotics software using C++, Python, and ROS, support real-time systems, simulations, field testing, and hardware integration. Collaborate cross-functionally, translate ambiguous requirements into solutions, conduct code and design reviews, and mentor junior engineers.

Leads robotics and automation technology projects across shipyard facilities, including feasibility studies, business cases, vendor selection, system development, programming, testing, installation, and operational support. Manages multidisciplinary teams, schedules, budgets, procurement, facilities integration, and Navy customer engagement. Provides hands-on robotic development, technical documentation, mentoring, and subject-matter expertise for manufacturing automation systems.

Designs, integrates, and deploys mechanical and robotic automation solutions for manufacturing facilities. Responsibilities include defining problems, developing CAD designs, building tooling and fixtures, integrating robotics and vision systems, leading small project teams, conducting design reviews, supporting production-floor implementation, managing schedules and budgets, and developing team members.

Develop and deploy reinforcement learning and imitation learning policies for whole-body humanoid locomotion and manipulation. Build high-fidelity simulation environments, improve sim-to-real transfer, conduct experiments, evaluate models, write reusable code, contribute to publications, and deliver policies to production customer sites. The role spans robotics research, computer vision, model development, and end-to-end deployment.

Design and build software and hardware for robotic teleoperation and large-scale data collection. Develop electromechanical devices, operator interfaces, backend processing, data-quality metrics, augmentation pipelines, and adaptation systems for robot learning. Work across robot arms and mobile manipulators, modern sensing hardware, robotics middleware, and manipulation policies. Collaborate with teleoperators, research teams, and customers to move robotic capabilities from prototypes into deployed products.

Develop production-grade robotic manipulation systems spanning foundation models, reinforcement learning, simulation, synthetic data, and real hardware. Train, adapt, evaluate, and deploy vision-language-action and related policies across robotic arms, mobile manipulators, and humanoids. Build scalable data and software pipelines, conduct end-to-end experiments, contribute to research publications and open source, and collaborate with customers to deploy manipulation capabilities.