Top Robotics Engineer Jobs

Own full sales and partnership cycle to bring voice AI to mobile service robots: engage senior robotics decision-makers, qualify and prioritize opportunities, close deals, and shape the commercial playbook while operating autonomously within a small technical team.

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

As an ML Engineer - Robotics, you'll design, train, and deploy intelligent models for autonomous systems, focusing on perception, planning, and decision-making pipelines, while collaborating with robotics engineers to evaluate model performance.

Develop and maintain production software for robotics operations at live customer warehouses. Deploy and stabilize MothershipOS, build deployment and diagnostic tools, resolve full-stack production incidents, improve reliability and throughput, and maintain containerized services and cloud infrastructure. The role requires extensive customer-site travel, off-hours incident response, strong software development skills, and expertise in Python or C++, Docker, Linux administration, networking, APIs, and Git.

Design, develop, test, and deploy AI-powered features and tooling for the CORI robotic surgery platform using ML, generative AI, computer vision, and AI-assisted developer tools. Build integrations, services, APIs, automation, and CI/CD pipelines while ensuring cybersecurity, privacy, quality, and regulatory compliance. Collaborate on architecture, prototyping, evaluation, deployment, and continuous improvement across robotic software and cloud systems.

Develop robotics-focused integrations for FiftyOne, support the open source community, and create technical blogs, tutorials, videos, courses, and documentation. Apply computer vision and machine learning to robotics perception, navigation, manipulation, and autonomous systems. Organize and speak at robotics events, collaborate through GitHub and Slack, and work with robotics datasets, multimodal sensor formats, simulation environments, models, and perception frameworks.

Leads automation and robotics integration for advanced energetic-materials manufacturing. Responsibilities include designing automated workflows and robotic cells, integrating controls and manufacturing data systems, managing vendors, commissioning production equipment, developing technical documentation, supporting production readiness, and ensuring machine safety and compliance. The role directs technicians and coordinates multidisciplinary teams across production, operations, quality, safety, and external integrators.

Develop, test, validate, and deploy production-ready skills and workflows for humanoid robots. Responsibilities include scripting behaviors with behavior trees or state machines, integrating robot skills into customer workflows, designing test plans, reproducing failures, validating in simulation and on hardware, and supporting occasional customer-site deployments. The role requires hands-on hardware work, Python development, Linux experience, and understanding of robotics from low-level control through task planning.

Develop datasets, evaluation methods, validation tools, and quality standards for robotics and embodied AI systems. Translate research needs into dataset specifications, design collection protocols, audit multimodal robotics data, and run experiments analyzing how data quality and structure affect model performance. Collaborate with research, engineering, data providers, and customers to improve robotics data offerings.

Designs, integrates, and deploys mechanical and robotic automation solutions for manufacturing facilities. Responsibilities include defining problems, developing CAD designs, building tooling and fixtures, integrating robotics and vision systems, leading small project teams, conducting design reviews, supporting production-floor implementation, managing schedules and budgets, and developing team members.

Develops, integrates, tests, and verifies object-oriented software controlling robotic manipulators, precision motion systems, and other electromechanical equipment for radiation therapy products. The role involves hardware integration, control-system requirements, automated and system-level testing, troubleshooting, reliability analysis, production launches, documentation, and collaboration across software, mechanical, electrical, embedded, and systems engineering teams. Provides technical leadership, mentors colleagues, and supports safety, quality, and field-service escalations in a regulated environment.

Build and maintain systems software for robotic platforms, integrating onboard compute, sensors, networking, hardware interfaces, device drivers, and vendor SDKs. Develop provisioning, deployment, monitoring, diagnostics, and recovery tools. Debug software-hardware issues, improve reliability through testing and observability, and collaborate across robotics, autonomy, hardware, infrastructure, and deployment teams to deliver field-ready robotic systems.

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.

Develop and deploy reinforcement learning and imitation learning policies for whole-body humanoid locomotion and manipulation. Build high-fidelity simulation environments, improve sim-to-real transfer, conduct experiments, evaluate models, write reusable code, contribute to publications, and deliver policies to production customer sites. The role spans robotics research, computer vision, model development, and end-to-end deployment.

Design and build software and hardware for robotic teleoperation and large-scale data collection. Develop electromechanical devices, operator interfaces, backend processing, data-quality metrics, augmentation pipelines, and adaptation systems for robot learning. Work across robot arms and mobile manipulators, modern sensing hardware, robotics middleware, and manipulation policies. Collaborate with teleoperators, research teams, and customers to move robotic capabilities from prototypes into deployed products.

Develop production-grade robotic manipulation systems spanning foundation models, reinforcement learning, simulation, synthetic data, and real hardware. Train, adapt, evaluate, and deploy vision-language-action and related policies across robotic arms, mobile manipulators, and humanoids. Build scalable data and software pipelines, conduct end-to-end experiments, contribute to research publications and open source, and collaborate with customers to deploy manipulation capabilities.

Design, integrate, and optimize robotic control systems for additive manufacturing. Lead device development, commission EtherCAT/TwinCAT/TwinSAFE networks, configure Kuka robots, calibrate robot cells, design low-voltage enclosures, and support production and R&D automation troubleshooting and validation.

Deploy, integrate, test, and troubleshoot autonomous wheeled robotic systems in customer environments. Analyze field feedback, improve system reliability, implement monitoring and diagnostics, train customer operators, and collaborate across hardware, software, AI, product, and engineering teams. The role supports federal and commercial programs and requires hands-on work with complex robotic systems, field deployments, and customers.

Supports the design, modeling, testing, and improvement of precision electromechanical tape-drive and robotic storage systems. Responsibilities include servo and motor-control analysis, signal processing, experimentation, Python-based data analysis, statistical evaluation, root-cause investigation, telemetry analysis, and reliability modeling. The role collaborates across engineering disciplines and documents and presents technical findings.

Lead pre-release software validation for laboratory robotics and automation systems. Develop automated testing tools, unit tests, functional and integration test plans, quality metrics, and release criteria. Perform cybersecurity validation, defect analysis, and release readiness assessments. Operate and troubleshoot integrated automation equipment involving robotics, machine vision, conveyors, sensors, pneumatic systems, and serial devices. Establish testing processes and documentation while collaborating with software, hardware, controls, and quality teams.

Designs and maintains software integrating laboratory instruments, robotics, automation platforms, data systems, and decision tools. Builds APIs, experimental workflow orchestration, sample tracking, scheduling, state management, error recovery, monitoring, and diagnostic capabilities for reliable autonomous research. Collaborates with scientists, robotics and automation engineers, and data scientists to develop scalable software supporting scientific databases, machine learning models, and closed-loop experimentation. Applies testing, Git, CI/CD, documentation, and containerization practices.

Develop and deploy production robotics software across the stack, including real-time control, motion planning, machine learning, perception, compilers, firmware, and cloud services. Build data-labeling tools, integrate hardware and software across platforms, and install and tune systems at customer facilities. Collaborate closely in a small engineering team while taking ownership of technical outcomes and supporting products from initial development through live production use.

Lead software system architecture for complex robotics products spanning embedded systems, edge computing, robotics middleware, connectivity, cloud services, and fleet platforms. Define requirements, interfaces, performance metrics, testing, security, deployment, and OTA strategies. Partner with clients, technical project managers, and multidisciplinary engineering teams to manage risks, schedules, budgets, and delivery. Provide technical leadership, mentorship, and guidance on autonomy, AI, simulation, safety, and long-term serviceability.

Develop and integrate features for a robotic-assisted orthopedic platform across software, hardware, implants, and surgical instrumentation. Translate clinical needs into system requirements, design inputs, and acceptance criteria; develop prototypes; conduct experiments, testing, troubleshooting, and trade studies; analyze data; and maintain requirements traceability and design documentation. Collaborate with multidisciplinary engineering, verification, software, clinical, and customer teams throughout the product lifecycle.

Leads the full lifecycle of warehouse material handling and automation projects, including system design, throughput analysis, vendor selection, controls and software integration, FAT/SAT, commissioning, performance validation, and operational handoff. Provides technical leadership for conveyors, sortation, AS/RS, robotics, PLC systems, scanners, and warehouse software. Troubleshoots system issues, manages technical scope and risks, coordinates OEMs and integrators, establishes acceptance criteria, and mentors engineering staff. The role requires substantial travel to installation and startup sites.