Top Robotics Engineer Jobs

Design, prototype, and validate mechanical systems for fielded robotics payloads including ruggedized enclosures, mounts, thermal management, and manufacturability. Perform CAD, FEA, thermal simulation, testing (vibration, ingress, thermal), vendor coordination, production support, and cross-functional integration with electrical and compute teams to ensure reliable field deployment.

The Robotics Perception Engineer will integrate real-time vision systems and perception infrastructure for UAS, develop camera pipelines, and implement sensor fusion algorithms for reliable performance across operating conditions.

Own and ship behavior and mission orchestration software that turns autonomy into repeatable, reliable field missions. Architect behavior orchestration, human-robot interaction, mission execution and fallback, validate on physical platforms, close the loop from field data to product, lead design reviews, and mentor cross-functional teams.

Own and scale the end-to-end provisioning pipeline for a fleet of outdoor robots: OS imaging, hardware configuration, EOL testing, deployment, monitoring, and field re-provisioning. Collaborate with manufacturing, R&D, and support to build operator-friendly tooling, diagnostics, and documentation to ensure reliable production and in-field operations.

Design and develop autonomous tractor software for navigation, task execution, and state management. Write production C++, Python, and Rust in a ROS2/Linux environment, review code, debug hardware/software issues across a global fleet, and collaborate with AI/ML teams to deliver safe, reliable, extensible robotics solutions.

Design, develop, and debug system software for NVIDIA Halos across QNX, Linux, and hypervisor environments. Build BSP, boot, drivers, device-management, and I/O virtualization for NVIDIA SoCs. Use formal methods and AI-assisted tools to develop safety- and security-compliant software (ISO 26262/21434). Perform platform bring-up, performance analysis, debugging, and cross-team integration for mixed-criticality, real-time embedded systems.

Build and maintain data pipelines and core robotics software for perception, spatial reasoning, teleoperation, simulation, and deployment. Support ML training datasets, write high-performance systems code (C/C++/Rust), improve simulation workflows, and collaborate across robotics, ML, and hardware teams to deliver reliable, production-ready autonomous systems.

Build and maintain data pipelines and core robotics software to support teleoperation, training, deployment, and simulation. Write high-performance systems code (C/C++/Rust), prepare datasets for ML training, improve simulation workflows, and collaborate cross-functionally to increase reliability, performance, and automation of deployed robots.

Architect and implement robust bimanual manipulation algorithms and learning-based robot policies (diffusion, imitation, RL). Build end-to-end autonomy connecting perception to low-level control, write and maintain production Python/C++ code, and scale performance across a fleet in industrial environments.

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.

Own prototype lifecycle for electromechanical subsystems: CAD design, fabrication, assembly, testing, and troubleshooting. Integrate motors, sensors, and electronics; build test fixtures; collaborate cross-functionally; maintain design documentation and run validation tests.

Develop and evaluate robot perception components on real-world data: build datasets and evaluation harnesses, run experiments, integrate modules into the live robot stack, and demo on hardware. Work spans pose estimation, VLMs/VLAs, 3D reconstruction, object detection, and multimodal learning; opportunity to publish and attend conferences.

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.

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.

Build and integrate ROS/ROS2 modules, collect and maintain ML training/test datasets from robots and mobile apps, implement end-to-end ML workflows, analyze data from internal databases, monitor data/model quality in production, and write maintainable Python/C++ code while collaborating across ML, engineering, product, and research teams.

Design, develop, and debug system software for NVIDIA Halos across QNX, Linux, and hypervisor environments. Build BSPs, I/O virtualization, drivers, boot and diagnostics for mixed-criticality NVIDIA SoC platforms. Apply formal methods and safety standards (ISO 26262/21434), optimize platform bring-up, and implement debugging, tracing, logging, and performance-analysis solutions. Collaborate with ASIC, firmware, OS, safety, security, and platform teams.

Architect, develop, and debug system software for NVIDIA Halos across QNX, Linux, and hypervisor environments. Build BSP, boot, drivers, I/O virtualization, and platform software for NVIDIA SoCs. Ensure safety and security compliance (ISO 26262/21434), use formal methods, optimize platform performance, and collaborate with ASIC, firmware, OS, safety, and security teams. Employ AI-assisted engineering tools to accelerate development, testing, and documentation.

Design and validate mechanical systems for deployment machines: chassis, drivetrains, manipulators, and end effectors. Produce CAD, detailed drawings, GD&T, and DFM handoff. Run FEA and fatigue analysis, build and test prototypes, and drive vendor relationships to scale prototypes into field-deployed fleets in harsh outdoor environments.

Lead machine-level systems engineering for robotics: derive requirements from deployment targets, define use cases and interfaces, build error/performance budgets, run verification/validation, own safety architecture, support integration, field-commission devices, and drive cross-functional alignment.

Design and own electrical systems for off-grid deployment robots: end-to-end PCB design, power electronics and battery systems, motor drives integration, sensor and compute integration, EMI/EMC and safety, field bring-up and debugging, and manufacturer handoff for production.

Design and integrate electrical and firmware systems for heavy mobile robots: motor control, power distribution, sensing (encoders, IMU, RTK-GNSS), embedded real-time control (CAN/EtherCAT), safety interlocks, bench and field bring-up, and ruggedization for harsh environments. Support prototype-to-fleet transition through harness DFM, supplier coordination, and field debugging.

Build and own hardware test function for robotic systems: design fixtures and rigs, create test plans, instrument DAQ systems, run environmental and durability tests, diagnose root causes, build reliability models, and automate test reporting to qualify machines for field deployment.

Design, build, and manage hardware test and quality-control infrastructure for robotic systems. Execute mechanical, electrical, and sensor validation, support certifications, develop IQC/OQC processes, monitor fleet reliability (MTBF/MTTR), and lead failure analysis and field maintenance to ensure production readiness and durable deployments.

Lead design and delivery of rugged sensor modules for field robots: select and integrate LiDAR, cameras, GNSS and gas sensors; own calibration, time sync, ruggedization, validation, and data pipelines; coordinate cross-functional teams and mentor junior engineers to scale production-ready reality-capture payloads.