Job Description
Ensure the reliability, safety, and performance of autonomous mobile robots (AMRs) through hands-on physical testing and field validation of robotics software and hardware.
Scope of Work:
Develop tools and processes for robot system bring-up, testing, deployment, and monitoring.
Integrate and validate robot software modules (perception, planning, control) with robotic hardware components into a cohesive robotic system.
Collaborate closely with hardware, perception, and controls teams to ensure system-wide reliability, robustness, and safety.
Debug integration issues involving sensors, compute hardware, real-time systems, and robotics middleware.
Testing and Validation:
Design and execute test plans in real-world and simulated environments.
Evaluate system behavior under diverse conditions.
Ensure the robot performs reliably in practice, not just in theory.
Conduct structured field trials and analyze performance data.
Diagnose issues that arise in physical deployments.
Key Responsibilities:
Perform in-depth system-level testing, identify performance bottlenecks, and develop solutions for real-time robotics operation.
Set up and run on-robot tests.
Analyze performance data and diagnose issues.
Develop tools and processes for testing and deployment.
Collaborate with cross-functional teams to ensure system reliability and safety.
Required Qualifications:
Bachelor's, Master's, or Ph.D. in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related technical field.
5 + years of Strong experience in system-level robotics integration, particularly with AMRs or similar real-world robot deployments.
Proficiency in ROS/ROS 2, Linux, C++, and Python.
Hands-on experience with sensor integration (e.g., LiDAR, cameras, IMUs), and embedded computing platforms.
Strong system debugging skills: experience with networking, profiling, performance tracing, and log-based issue analysis.
Familiarity with real-time operating constraints, safety, and reliability considerations in robotics.
Preferred Qualifications:
Experience with simulation tools and hardware-in-the-loop (HIL) testing.
Background in deploying robotic systems in production or operational environments.
Exposure to SLAM, localization, or multi-robot coordination.
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