Healthcare robotics engineers design, build, and validate robotic systems used in clinical and care settings, including surgical assistance, rehabilitation robotics, hospital logistics, and telepresence. On Rex.zone, these remote, full-time roles focus on safe autonomy, perception, motion planning, and rigorous verification to improve patient outcomes and operational reliability. You will collaborate with cross-functional teams to translate medical workflows into robotic behaviors, create simulation-to-real testing pipelines, and deliver production-ready software that meets performance, safety, and compliance expectations.
LinkedIn Job Metadata: Date Posted: 25-02-2026 | Company: Rexzone | Country: US | Workplace Type: Remote | Employment Type: FULL_TIME | Experience Level: Mid-Senior | Industry: Technology | Job Function: Engineering | Skills: Healthcare robotics, ROS 2, C++, Python, robot perception, SLAM, computer vision, motion planning, control systems, sensor fusion, simulation, verification and validation, medical device safety, IEC 60601, ISO 13485, risk management
You will develop and integrate robotics software for healthcare environments, balancing autonomy, safety, and usability. Work includes building perception and localization stacks, implementing motion planning and control, and creating simulation-based test coverage that transfers to real hardware. You will collaborate with product, clinical, and QA partners to convert clinical workflows into clear requirements, then deliver measurable improvements in task success rate, navigation reliability, and system robustness under real-world constraints such as dynamic obstacles, variable lighting, and network latency.
Own core robotics modules including perception, SLAM, navigation, manipulation, and task planning; Build and maintain ROS 2 nodes, message interfaces, and launch pipelines; Implement sensor fusion using cameras, depth sensors, LiDAR, IMU, and wheel odometry; Develop motion planning and control loops with safety constraints and fail-safe behaviors; Create simulation scenarios and regression tests for navigation, docking, pick-and-place, and human-aware behaviors; Establish data collection, labeling, and evaluation workflows for model and system performance improvement; Define and track metrics such as task completion rate, localization drift, collision rate, and mean time to recovery; Support verification and validation activities aligned to medical device expectations, including traceability, risk controls, and test evidence; Collaborate with hardware, embedded, and clinical stakeholders to debug field issues and improve reliability; Document architecture, interfaces, and operational procedures for deployment and support.
Mid-Senior experience shipping robotics software to production or real-world deployments; Strong C++ and Python for performance-critical robotics systems; Hands-on ROS 2 experience (nodes, TF, navigation, lifecycle, diagnostics); Understanding of perception pipelines, SLAM, and sensor fusion; Experience with motion planning, trajectory generation, and feedback control; Comfort with Linux, Git, CI/CD, and automated testing; Ability to translate domain constraints into engineering requirements and measurable acceptance criteria; Strong debugging skills across simulation and hardware logs, telemetry, and on-robot profiling.
Experience in healthcare robotics, assistive robotics, surgical robotics, or hospital logistics; Familiarity with medical device development practices (ISO 13485, risk management, traceability); Human-aware navigation, social compliance, and safety envelope design; Computer vision and deep learning for detection, segmentation, pose estimation, or tracking; Experience with Gazebo/Ignition, Isaac Sim, or similar robotics simulators; Knowledge of functional safety concepts, hazard analysis, and verification test planning; Exposure to secure deployment, fleet management, and remote monitoring for robots in the field.
ROS 2, C++, Python, Linux, Docker; OpenCV, PCL, Eigen; Navigation and planning libraries, behavior trees; Gazebo/Ignition or Isaac Sim; Git-based workflows, unit/integration testing, CI pipelines; Telemetry, logging, and performance profiling tools.
Ship at least one production-ready improvement to a core robotics module with documented performance gains; Increase stability of autonomy behaviors through new regression tests and simulation scenarios; Improve a key metric such as docking success rate, navigation uptime, or localization accuracy; Deliver a clear architecture note and runbook that improves cross-team velocity; Demonstrate reliable incident response by reproducing and fixing a field-reported issue with verified root cause.
Salary Range: USD 63360 to 126720 per year; Pay Period: YEAR; Final compensation depends on experience, role scope, and job-specific requirements.
Apply through Rex.zone by submitting your resume and a short summary of healthcare robotics projects you have shipped or validated. Include links to repositories, technical write-ups, simulation demos, or published work where available. We review applications on a rolling basis for remote, full-time placements.
Yes. This posting is explicitly Remote and is intended for remote, full-time hiring through Rex.zone.
Common systems include hospital logistics and delivery robots, rehabilitation and assistive devices, telepresence robots, and clinical robotics platforms that require reliable perception, navigation, manipulation, and safety behaviors.
Highlight ROS 2, C++/Python, robot perception, SLAM, sensor fusion, motion planning, control, simulation, test automation, and verification and validation. If you have medical device experience (ISO 13485, risk management, IEC 60601), include it clearly.
Typical metrics include task completion rate, localization accuracy and drift, collision and near-miss rate, docking success, mean time to recovery, autonomy uptime, and regression test pass rate across simulation and real hardware.
It is preferred but not required for all roles. Strong robotics engineering experience, robust testing practices, and the ability to work within safety constraints are essential.
Yes, it is FULL_TIME. The listed annual salary range is USD 63360 to 126720, paid YEAR.
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