Top Robotics Engineer Jobs

Build AI tools, agent workflows, APIs, automation systems, and evaluation capabilities for robotic research and engineering. Automate model training, experiment management, simulation and real-robot testing, logging, analysis, debugging, and failure evaluation. Design statistically rigorous experiments, integrate emerging AI technologies, and deliver reliable, secure, human-approved systems. The role requires hands-on robotics experience, strong Python engineering, Linux, CI/CD, Docker, APIs, distributed systems, and collaboration with machine learning, simulation, and robotics teams.

Develop and train learning-based policies for robotic manipulation and embodied tasks using imitation learning, reinforcement learning, diffusion policies, and VLA models. Design data collection and training pipelines, deploy policies on physical robots, evaluate robustness and generalization, debug real-world performance, analyze failures, and improve models and datasets. Collaborate with infrastructure, simulation, and data teams to advance robot learning research.

Own customer-facing AI, robotics, and autonomous driving projects from discovery through delivery. Translate technical and data requirements into scalable solutions, define workflows and project plans, coordinate internal and external stakeholders, resolve risks, and ensure quality delivery. Support technical proposals, statements of work, pricing, account expansion, and product feedback while building long-term customer relationships.

The Robotics Engineer will design, configure, troubleshoot robotic systems and support electrical/software design, ensuring compliance with safety standards and optimizing production processes.

Develop and deploy machine learning, computer vision, and data-driven features across embedded, cloud, and application platforms. Responsibilities include building sensor-data pipelines, integrating models into user interfaces, evaluating performance on edge devices, developing APIs, supporting proof-of-concepts, maintaining CI/CD infrastructure, and collaborating with machine learning, UX/UI, data operations, and software engineering teams.

Develop and deploy machine learning, computer vision, and data-driven features across embedded, cloud, and app platforms. Build sensor-data pipelines, integrate models into user-facing products, evaluate performance on edge devices, and contribute to prototypes, APIs, CI/CD, testing, documentation, and code reviews. Collaborate with machine learning, data operations, UX/UI, and software engineering teams while identifying technical risks and supporting reliable product delivery.

Conduct independent research and structured projects in robotics and autonomy for aerospace applications. Develop robotic manufacturing automation and autonomous vehicle technologies involving sensing, localization, navigation, mission planning, and execution. Build technical expertise through mentorship, coursework, stretch assignments, and collaboration while contributing to GE Aerospace Research’s Robotics & Autonomy Lab.

The Sr Robotics Engineer leads the development and integration of autonomous mobile robot systems, focusing on software for navigation and control while collaborating across functions to deliver automation solutions.

Deploy AI and robotics models on real-world hardware, optimizing inference for constrained edge systems and integrating sensors, controls, middleware, and legacy systems. Diagnose failures across calibration, dynamics, timing, and perception; evaluate model performance rigorously; and collaborate with research teams, customers, and partners to move systems from simulation and prototypes into production.

Build and maintain robotics software for simulation and real robotic arm hardware across motion planning, control, perception, and manipulation. Prototype ideas, harden successful systems for deployment, and develop tests and metrics to measure robot performance and prevent regressions. The role requires ownership, cross-functional collaboration, and practical expertise in robotics software development.

Build platform infrastructure for deploying and evaluating learned robotics policies on physical robots. Responsibilities include on-robot inference and tuning, policy benchmarking, partner-facing deployment tools, orchestration across robot stations, LLM and foundation-model integration, containerized software packaging, and cloud-to-robot system integration.

Build and maintain robotics software for robotic arms, mobile robots, sensors, grippers, and laboratory instruments. Develop motion planning, perception, safety logic, task execution, simulation, and recovery workflows for automated biology labs. Integrate hardware and instruments, debug physical systems, support material handling and sample tracking, and collaborate with scientists and engineers to automate laboratory processes. Evaluate AI, computer vision, and autonomy techniques for reliable robotic execution.

Build and validate robotics simulation and digital-twin systems for laboratory automation. Develop Real2Sim and Sim2Real workflows, integrate perception, motion planning, AI models, sensors, and robot control systems, and create synthetic-data, telemetry, and evaluation tools. Benchmark performance, debug physical and simulated systems, support new equipment installations, and collaborate with robotics, software, AI, automation, and scientific teams.

Develop simulation technology for physical AI and robotics, integrating learning environments with engineering-grade simulators for dynamics, structures, fluids, and thermal applications. Build workflows combining simulation and AI-driven learning to accelerate robotics deployment. Preferred expertise includes machine learning, reinforcement learning, vision-language models, and vision-language-action models.

Designs, prototypes, debugs, and brings up custom PCBs and electrical hardware for warehouse robots. Responsibilities include schematic capture, PCB layout, electrical architecture, hardware testing, design documentation, rapid prototyping, firmware integration, and collaboration with mechanical, firmware, and software teams. The engineer also supports EMC-compliant production releases and works with fabrication houses and contract manufacturers to transition boards from prototype to production.

Develop simulation algorithms for physical AI and robotics, including many-body dynamics, finite element analysis, and contact modeling. Validate simulations on robotics hardware, compare simulated and real-world behavior, and improve algorithms using experimental results. Apply control theory and controller optimization to support simulation and hardware validation.

Develop and implement vehicle control architecture and real-time control systems for industrial mobile equipment using ROS2 and embedded controllers. Implement ros2_control interfaces, firmware/drivers for CAN-FD/I2C/SPI/UART/RS485, design and tune closed-loop controllers (PID/MPC/LQR), integrate sensors for state estimation, and model/control electro-hydraulic systems.

Define and build manufacturing, component, returned-part, and factory acceptance tests for electromechanical robots. Create procedures, fixtures, automated scripts, diagnostic tools, and failure-analysis processes. Debug hardware on the production floor, analyze manufacturing and field failure data, improve test coverage, drive corrective actions, and ensure results are traceable through MES and serial numbers.

Develop physics-based robotics simulations, digital twins, software- and hardware-in-the-loop test benches, regression tests, scenario-generation methods, and synthetic data workflows. Build tools that enable engineers to run simulations and parameter sweeps, compare virtual models with real-world data, and evaluate robotics and Physical AI systems. Collaborate across mechanical, electrical, controls, software, and AI engineering teams to improve simulation fidelity and identify failure modes.

Leads enterprise-scale robotics systems integration, interoperability, commissioning, reliability, and platform engineering across multi-vendor fleets. Designs resilient distributed and edge-cloud systems, fleet observability, orchestration, deployment, and lifecycle management. Provides technical leadership, resolves complex deployment challenges, shapes vendor requirements, mentors engineers, and partners with architects and domain owners. The role supports clinical, surgical, logistics, mobile, environmental services, and patient-facing robotics platforms.

Provides enterprise-wide technical leadership for robotics systems integration, fleet observability, cross-vendor orchestration, and interoperability. Designs and operates scalable robotics, autonomous-system, IoT, edge, and cloud platforms; establishes technical direction for distributed systems, cybersecurity, resilience, telemetry, deployment, and lifecycle management. Integrates heterogeneous robotic fleets across regulated, mission-critical environments while partnering with enterprise architects and vendors. This is a senior individual-contributor role without direct reports.

The role involves developing algorithms for robotic task and motion planning, collaborating with engineers, and enhancing software solutions for robotics systems.

Design, implement, and optimize robotics and machine-control software for industrial additive manufacturing and automated production. Build real-time, reliable control systems integrating robots, sensors, vision, PLCs, and factory equipment. Lead architecture, troubleshoot integrations, improve throughput and uptime, and collaborate with cross-functional engineering teams to deploy production-ready automation solutions.

Develop and optimize robotics task and motion planning and computer vision software. Implement algorithms for symbolic task planning, kinematics, collision detection, optimization, and constraint satisfaction. Integrate and test planning and vision components, maintain development best practices, and collaborate across teams to deliver robust robotic software.

Design, build, and integrate software for autonomous robots across the robotics stack, including sensor integration, perception, localization, motion planning, control, and behavioral systems. Develop production systems using ROS/ROS 2, real-time and concurrent programming, sensor fusion, and simulation environments. Collaborate with cross-functional teams, support field tests and hardware integration, conduct code and design reviews, and mentor junior engineers.