Top Robotics Engineer Jobs

Design, develop, integrate, deploy, and validate robotics software for AMRs and Fleet Management Systems. Implement navigation, localization, path planning, fleet coordination, traffic management, and mission execution algorithms. Support system commissioning, onsite deployments, troubleshooting, simulation and lab validation, and collaborate with cross-functional teams, suppliers, and customers.

Lead development of the local mobility and safety stack: build high-performance C++ pipelines that consume AI costmaps, architect real-time optimization-based local planners (MPC/MPPI), enforce center-of-mass and traction constraints, implement deterministic safety fallbacks, and interface planned trajectories with Whole-Body Control for field-deployed humanoid robots.

Design, build, test, and maintain the mission behavior engine for robots across the stack: core behavior capabilities, scalable APIs, cloud integrations, AI/NLP configuration, and backend infrastructure. Own projects from design through deployment, collaborate with cross-functional teams, ensure quality via testing and CI, and drive architectural decisions.

Leads the architecture, development, optimization, integration, and testing of robotics software and autonomy algorithms for perception, planning, control, and navigation. Provides technical leadership through mentoring and code reviews, collaborates with hardware and product teams, documents systems, and contributes to research publications and industry advancements. The role requires extensive deployed robotics software experience, strong C++ skills, robotics simulation proficiency, and knowledge of computer vision, machine learning, and control theory.

As a Robotics Engineer, you'll operate and test robot platforms, integrate sensors, manage data pipelines, and debug issues to improve model evaluation.

The Robotics Engineer will develop and maintain software for robotic arm solutions, troubleshoot issues, and require hands-on experience with robotics frameworks.

The Senior Robotics Engineer will develop advanced robotics systems for agriculture, collaborating on design, testing, and research to enhance autonomous technology.

The Robotics Engineer will develop software solutions for robotic manipulation, design algorithms, and collaborate with the ML team on real robot deployments.

Train, integrate, test, optimize, and monitor machine learning models and autonomy software on autonomous vehicles. Coordinate real-world vehicle testing, diagnose field issues, design data collection strategies, and develop tools and visualizations for analyzing behavior and control subsystem performance. The role requires robotics software development, sensor interface knowledge, Linux programming, and software debugging expertise.

Own the architecture and technical direction of autonomy and vehicle software for autonomous underwater vehicles. Lead cross-disciplinary robotics challenges spanning onboard software, GNC, state estimation, sensing, fault management, testing, field operations, and fleet-scale deployment. Improve unattended mission reliability through FDIR, safe-state behaviors, telemetry, logging, sensor synchronization, OTA updates, and rollback. Mentor engineers, establish quality standards, manage the roadmap, support on-call operations, and drive practical AI adoption.

Develop and maintain robotics software, scripts, and real-time systems for prototype robotic hardware. Integrate sensors and external devices, develop autonomy, teleoperation, perception, simulation, and control capabilities, and test complex robotic platforms. Support multidisciplinary R&D programs, technical proposals, customer demonstrations, new business efforts, and research projects involving commercial and government applications.

Design, develop, test, and deploy autonomy algorithms and systems for aerial vehicles. Implement perception, state estimation, controllers, sensor integration, CI/CD pipelines, and conduct flight testing while leading and mentoring engineering teams.

Lead the end-to-end autonomy stack for aerial and manipulation platforms: perception, state estimation, planning, control, flight-controller integration, robotic arm kinematics and motion planning, sensor-fusion, sim-to-real validation, system integration, testing, and mentoring a small team through prototype bring-up and field deployment.

Integrate humanoid hardware and software subsystems into a cohesive, deployable robot stack. Own bring-up, calibration, diagnostics, validation, and system-level debugging across perception, planning, locomotion, manipulation, controls, sensors, compute, and networking. Develop integration and regression tests, telemetry tools, dashboards, and release workflows while partnering with cross-functional teams to harden research into maintainable, field-ready modules.

Leads multidisciplinary teams developing and transitioning robotic manufacturing automation and vehicle or mission autonomy from TRL 2–6. Responsibilities include embodied AI, sensing, perception, controls, planning, policy learning, scalable software, prototyping, research strategy, external collaboration, publications, demonstrations, and intellectual property development. The role requires robotics expertise, C/C++, ROS, industrial automation experience, occasional travel, relocation to Niskayuna, and eligibility for U.S. government security clearance.

Defines system requirements and architectures, integrates software onto autonomous vehicles and defense systems, and deploys and validates robotics, sensor, perception, communication, and autonomy systems. The role includes field testing, simulation, troubleshooting, system modeling, cross-functional collaboration, and technical documentation in operationally challenging environments.

Deploy and support robotics software in live warehouse environments. Responsibilities include configuring containerized services, cloud infrastructure, networking, certificates, monitoring, and edge devices; troubleshooting robot, API, database, and infrastructure issues; managing production incidents and go-lives; and improving system uptime, throughput, and reliability. The role requires extensive customer-site travel, off-hours availability, and strong ownership in high-pressure environments.

Develop and integrate robotics algorithms and machine-learning systems for perception, state estimation, localization, mapping, sensor fusion, planning, control, and learned behaviors. Build and deploy autonomy software across mobile robots, robotic arms, quadrupeds, and humanoids. Integrate camera, LiDAR, and IMU data, optimize software for embedded and edge platforms, support real-robot testing and demos, and debug system-level autonomy issues.

Design and deploy autonomous greenhouse robotics software using ROS2, C++, simulation, computer vision, and intelligent decision-making. The role covers navigation, manipulation, perception, control integration, resilient offline architectures, and over-the-air robot updates. Engineers collaborate with AI/ML, mechanical, and crop science teams to deliver production-ready systems for harvesting, deleafing, and crop monitoring. The position welcomes candidates from recent graduates through staff-level engineers.

Develop and maintain real-time kinematics algorithms and a shared kinematics library for 6+ DoF robotic systems, own calibration tools/methodologies using industrial metrology, and serve as the SME for kinematics, motion modeling, and multi-axis synchronization across robotics products.

Own the sim-to-real and real-to-sim engineering function for physical robots and simulation. Design experiments, instrumentation, data capture, system identification, model integration, and hardware validation. Build production C++ and Python software for modeling, simulation, benchmarking, and regression testing. Establish quantitative metrics, diagnose simulation errors, improve robotics platforms, and lead cross-functional technical contributors without formal management authority.

Develop and integrate features for a robotic-assisted orthopedic platform. Translate clinical needs into system requirements, prototypes, acceptance criteria, and design documentation. Evaluate integrated robotic systems, troubleshoot issues, analyze test data, and collaborate with software, controls, mechanical, platform, and verification engineers. Support products from concept through launch while engaging surgeons and clinical stakeholders. Contribute to requirements traceability, design controls, testing, trade studies, and technical decision-making.

Design, implement, and maintain high-performance kinematics algorithms and a shared kinematics library for 6+ DoF robotic systems. Develop calibration tools and methodologies using industrial metrology and localization hardware. Act as SME for robot kinematics, motion modeling, and multi-axis synchronization while owning projects from design through deployment in a cross-functional R&D manufacturing environment.

Develop and deploy motion-control systems for 6-DOF robotic arms used in commercial kitchens. Responsibilities include kinematic and dynamic modeling, trajectory generation, control-loop tuning, sensor and perception integration, real-time software development, simulation, hardware testing, calibration, safety mechanisms, fault recovery, and performance optimization. The engineer will collaborate across disciplines, validate systems on physical robots, support field deployments, and improve reliability in demanding restaurant environments.

Design, implement, tune, and verify real-time robotic control systems spanning actuators, hardware interfaces, state estimation, motion control, and whole-robot behavior. The role involves hands-on robot commissioning, debugging, experimentation, and testing, while collaborating with mechanical, electrical, software, and machine learning teams to integrate reinforcement learning and optimize real-world robotic performance.