Top Robotics Engineer Jobs

The Solutions Engineer will engage with clients, develop technical solutions in Robotics, and guide customer pilots, ensuring satisfaction and driving commercial growth.

Design and build scalable, fault-tolerant ML serving platforms for robotics. Optimize computer-vision and foundation-model pipelines for cloud GPUs, develop observability and monitoring, conduct architecture reviews, and lead end-to-end projects integrating research and production.

Develop and refine a next-generation medical robotics platform: learn and extend existing codebase, collaborate with controls/mechanical teams, design experiments to characterize performance, turn prototypes into production-quality software, architect modular distributed systems, and maintain design-control documentation to meet medical device standards.

Lead architecture, design, development, deployment, and support of robotics and automation applications. Define standards, select platforms, lead integrations and validations, mentor teams, manage vendors, and deliver scalable, compliant solutions that meet business needs.

Design, implement, and deploy autonomy software across perception, localization, sensor fusion, navigation, planning, and embedded inference. Work from prototype through simulation, HITL, flight test, and deployment, collaborating with hardware, sensing, and ML teams. Develop evaluation pipelines, metrics, and tooling; optimize for real-time embedded compute under SWaP and latency constraints; design for degraded operation, fault detection, and uncertainty-aware decision-making.

Design, implement, and tune locomotion, whole-body control, and manipulation software for bi-dexterous robots. Integrate subsystems across actuators, sensors, and motor controllers, develop real-time C++ control, validate in simulation, debug hardware failures, and contribute to fleet tooling and CI/CD pipelines.

Develop and ship production-quality robotics software for the MoveIt Pro platform, spanning robot hardware integration, motion planning, APIs, and platform features. Integrate learned models (VLA/foundation models) with classical planning and control, debug performance, test hardware compatibility, and collaborate cross-functionally. Work includes ROS 2 development, driver and trajectory controller work, CI/testing, and customer site visits.

Provide manufacturing and process engineering for electro-mechanical fuze assemblies, designing and maintaining automation cells, integrating robotics, vision and testing, leading PFMEAs, troubleshooting, supplier coordination, and implementing manufacturing best practices to ensure high-quality, cost-effective production.

Own and ship the perception stack for autonomous mobile robots, integrating LiDAR, cameras, IMUs and other sensors. Design detection, segmentation, localization, mapping, and sensor-fusion pipelines; build datasets and CI/CD for perception models; debug deployed systems on-site; collaborate with navigation, controls, and hardware teams to deliver reliable production performance in real freight facilities.

Develop and optimize path planning, trajectory generation, and motion controllers for heavy-payload autonomous mobile robots. Integrate localization and perception, validate sim-to-real behavior, implement obstacle avoidance and safety behaviors, analyze field telemetry, and collaborate across hardware, perception, and cloud teams to deploy reliable navigation in production.

Own the hardware-software interface for production robotic platforms: develop sensor and actuator drivers, manage communication buses and Linux configurations, integrate new hardware, monitor system health, build edge/cloud device management, and support field-deployed robots through diagnostics and validation.

Lead integration and execution of mechatronic robotic systems: design electrical architectures, wiring, and packaging; select and integrate sensors, actuators, and compute; prototype and fabricate hardware; debug system-level issues across electrical, mechanical, and software domains; execute integration testing, verification, validation, and field testing; manage integration risks and translate MBSE diagrams into buildable solutions.

Design, train, and deploy robotic manipulation policies for deformable textiles. Build end-to-end pipelines integrating perception, state estimation, planning, and control. Integrate multi-modal sensors, develop large-scale deformable simulations for sim-to-real transfer, and produce reliable production-level Python/C++ deployments while collaborating with cross-functional teams to scale solutions to manufacturing.

Lead the development of core systems for intelligent robotic platforms, design and optimize performance-critical components, and integrate machine learning into real-time systems.

Lead design, development, and implementation of robotics software systems and algorithms, focusing on navigation and integration with robotic platforms.

Design and build end-to-end Real2Sim pipelines and neural 3D reconstruction systems that convert multi-sensor data into simulation-ready scene and object assets. Integrate outputs with mapping, localization, and multi-sensor fusion, collaborate with ML researchers, deploy and optimize large-scale data-generation and augmentation pipelines, and validate and monitor production reconstruction and simulation services.

Analyze and validate multi-modal robotics data, build automated validation pipelines and visualization tools, define quality metrics and schemas, synchronize cross-modal timestamps, catalog failure modes, and work with collection teams to trace and fix data issues.

The Technical Marketing Engineer will analyze market trends in industrial robotics, translate technical capabilities into value propositions, support customer engagements, and participate in go-to-market execution.

The Robotics & AI Systems Development Engineer II develops robotic systems and AI solutions for manufacturing, focusing on autonomy, fleet management, and system integration.

The role involves designing, developing, and supporting advanced robotic manipulation software, integrating with hardware, mentoring junior engineers, and ensuring performance in production environments.

As a Mechanical Engineer III, you will support automation projects, manage vendor requirements, perform testing, and ensure quality for robotic systems used in semiconductor manufacturing.

The Senior/Staff Linux Software Engineer will design and implement a vision compute pipeline on an embedded Linux platform and optimize controls for medical robotic systems.

Develop and scale learning models for behavior cloning and reinforcement learning. Build data pipelines and evaluate model performance for integration into autonomous systems.

Develop software for robotics, focusing on autonomy and systems integration. Responsibilities include building, validating, and maintaining robotics capabilities and tools.

Design and write software for surgical robots, ensuring reliability and precision in high-stakes medical applications, while collaborating in a meritocratic environment.