Top Robotics Engineer Jobs in Boston, MA

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, develop, integrate, validate, and maintain software for autonomous mobile robots and fleet management systems. Responsibilities include navigation, localization, path planning, robot control, multi-robot coordination, system integration, simulation, debugging, mapping, commissioning, and customer deployments. The role supports industrial robotics solutions through onsite troubleshooting, factory integration, supplier collaboration, and domestic and international travel.

Deploy, configure, calibrate, troubleshoot, and support robotic manipulation systems at customer sites and demonstrations. Triage fleet issues across hardware and software, analyze telemetry and logs, perform root-cause analysis, develop diagnostic tools and procedures, document field operations, and collaborate with engineering teams to improve reliability. The role travels more than 50% and requires independent technical leadership during deployments.

Designs, develops, integrates, tests, and troubleshoots electrical systems for uncrewed undersea vehicles, sensors, and command-and-control systems. Responsibilities include analog and digital circuit design, PCB development, board bring-up, sensor integration, embedded hardware-software interfaces, system testing, documentation, and at-sea support. The role collaborates with mechanical, software, and systems engineers to deliver rugged, reliable undersea robotic platforms.

Deploys, configures, commissions, tests, and supports robotics systems for Moderna’s drug product manufacturing operations. Responsibilities include robot programming, vision setup, workflow configuration, FAT and SAT execution, troubleshooting, validation documentation, system integration, and continuous improvement. The role collaborates with controls engineers, systems engineers, vendors, and site teams while ensuring safety, compliance, and data integrity. Travel may reach 25% during critical project phases.

Designs and develops electrical systems for uncrewed undersea vehicles, sensor payloads, and command-and-control systems. Responsibilities include analog and digital circuit design, PCB development, board bring-up, hardware debugging, sensor integration, embedded system interfaces, and lab, pool, and at-sea testing. The role collaborates with mechanical, software, and systems engineers while maintaining design and test documentation and contributing to electrical architectures and system requirements.

Leads electrical design, integration, verification, and validation of robotic medical-device electromechanical systems. Responsibilities include PCB and circuitry design, IEC 60601 compliance, root-cause analysis, manufacturing collaboration, design-for-manufacturing, risk analysis, team leadership, and production support. The role requires advanced laboratory debugging, cross-functional coordination, and up to 25% domestic and international travel.

Develop embedded robotics software for motion control, trajectory generation, multi-axis coordination, diagnostics, and EtherCAT-based distributed control systems. Collaborate with engineering, product, manufacturing, field service, and customers to define features, troubleshoot issues, design tests, and improve software quality through automated testing and DevOps practices.

Own end-to-end mechanical design of custom mobile manipulators by integrating robot arms with AMR/AGV bases. Create CAD models, mounting structures, cable routing, simulation-ready geometry, and mass, payload, and center-of-gravity analyses. Iterate multiple design concepts, document tolerances and assembly procedures, and support physical builds. Collaborate with simulation and platform evaluation engineers during validation. This is a hands-on mechanical and mechatronic design role focused on hardware integration rather than robotics software or controls.

Own the software infrastructure supporting robot data collection and experimentation. Build robot-side and backend services, data pipelines, telemetry, deployment systems, and operator tools. Improve observability, reliability, testing, recovery, and rollback while diagnosing failures across devices, Linux, networking, concurrency, and storage. Collaborate with researchers and operators to prioritize improvements, document systems, and deliver durable fixes that increase experiment throughput and data quality.

Lead architecture and hands-on development for dexterous robotics software and Physical AI infrastructure. Own manipulation use cases from definition through demonstration, integrating sensing, control, simulation, learned policies, data pipelines, testing, and deployment. Translate ambiguous R&D goals into delivery plans, establish production-grade reliability practices, coordinate cross-functional technical work, and mentor engineers. Develop core software in C++ and Python using ROS 2 while addressing timing, synchronization, safety, reproducibility, and performance constraints.

Develop and demonstrate AI-enabled robotic systems using robot arms, sensor-equipped hands, and application software. Integrate and troubleshoot mechanical, electrical, sensing, control, and AI components; evaluate robot behavior and sensor data; maintain reliable demonstration systems; and support customer evaluations, trade shows, and live troubleshooting. Translate customer feedback and research objectives into demonstrator requirements, test plans, and engineering improvements.

Design, prototype, test, and support rugged mechanical systems for robotic sensing and compute platforms. Responsibilities include CAD assemblies, structural and thermal analysis, sensor mounts, ingress protection, material selection, DFM/DFA, mechanical drawings, GD&T, BOMs, prototyping, shock and vibration testing, thermal validation, vendor coordination, QA, field debugging, and production scaling. The intern will collaborate across mechanical, electrical, compute, and systems engineering teams.

Perform static and dynamic FEA on robotic components, learn CFD and thermal-structural analysis, support physical testing, improve simulation workflows, automate tasks with Python or MATLAB, document results, and collaborate with mechanical design and manufacturing teams to optimize robotic hardware.

Manage the full deployment lifecycle for retail locations, coordinating installation, network setup, configurations, and troubleshooting, while building automation and ensuring quality.

Own safety-critical robotic arm control software, including motion limits, collision response, stopping behavior, control-loop monitoring, and real-time operation. Build hardware-in-the-loop test benches integrated with continuous integration, maintain safety evidence and stopping-time measurements, and document control designs. The role requires physical-system controls experience, strong C++ and Python skills, Linux real-time programming, physics and dynamics knowledge, mission-critical software experience, and hardware-in-the-loop testing expertise.

The Robotics Software Engineer will architect systems, implement navigation algorithms, develop software for UAS, and support prototype vehicle testing.

Develop advanced robot perception systems for automated warehouse robotics, including computer vision, deep learning, object detection, pose estimation, sensor fusion, dataset creation, and simulation. Integrate perception with planning and manipulation systems, improve real-time robotic decision-making, maintain high-quality software, and research sim-to-real techniques. Collaborate cross-functionally, solve complex engineering problems, and mentor junior engineers.

Designs, develops, tests, and maintains robotics middleware and application frameworks in modern C++ on embedded Linux. Owns platform components through deployment and fleet operation, improves reliability and performance, diagnoses complex concurrency and systems issues, and translates safety requirements into software behavior and verification. Collaborates across autonomy, systems, hardware, and software teams while leading technical reviews and mentoring engineers.

Join Hstar as a Mechanical Robotics Engineer focusing on robot design, integration, and testing, requiring strong skills in mechanical systems and robotics.

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.

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

Build realistic simulation environments, tools, and infrastructure for autonomous boats, drones, ground vehicles, and multi-agent systems. Develop configurable scenarios, sensor models, agent behaviors, closed-loop SIL and HIL workflows, replay and regression testing, and automated scenario evaluation. Integrate simulations with autonomy stacks, mission software, command-and-control systems, and data pipelines. Improve simulation scalability, fidelity, debugging, and developer workflows while helping engineering teams reproduce field failures and validate systems before deployment.

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

Develop robotics software bridging high-level orchestration and low-level machine control. Build scalable, reliable Python control systems, scheduling algorithms, simulations, and test suites. Integrate software with sensors, actuators, electronics, and mechanical systems; adapt software to new hardware; improve machine error handling; and own software components from concept through deployment and support while collaborating with software, hardware, and product teams.