Staff Robotics Test Engineer, AI/ML Software

Staff Robotics Test Engineer, AI/ML Software

Analog Devices' Edge AI team is on a mission to redefine how machines perceive and interact with the world. We're building real-time, intelligent systems that combine world-class sensor technology with cutting-edge AI — at the Edge, where milliseconds matter.

We're seeking a Staff Robotics Test Engineer to take ownership of hardware-based data collection and validation workflows, with a strong emphasis on real-world sensor data gathering, robotic use cases, and hardware-in-the-loop evaluation. This role will also involve testing and certifying simulation assets to ensure they meet the highest standards for deployment.

In this role, you will leverage your expertise in hardware and sensor validation to design and execute robust data collection pipelines and test cases for validating sensor assets. Collaborating closely with simulation and AI engineers, you will play a key role in ensuring that real-world sensor data and test results align seamlessly with simulation environments, helping to bridge the gap between simulation and reality.

Responsibilities

• Validation & Test Design: Utilize hands-on expertise with ToF, Tactile, RGB-D, and IMU sensors to develop test cases and define validation metrics for simulation assets, ensuring readiness for deployment.
• Sim-to-Real Integration: Collaborate with simulation and AI teams to align physical hardware outputs with virtual environments, driving improvements in sim-to-real transfer accuracy.
• ML-Driven Data Collection: Partner with machine learning engineers to define and execute data collection strategies that support training of state-of-the-art physics-informed neural networks and AI robotic policies.
• Safety Protocol Engineering: Develop and enforce safety protocols for deploying reinforcement learning agents on physical hardware, ensuring safe and reliable operation in real-world environments.
• Field Support & Troubleshooting: Provide on-site support for setup, testing, and debugging of robotic platforms and sensor arrays, ensuring smooth operation during field deployments.

Qualifications

• M.S. or Ph.D. in Robotics, Computer Science, Electrical Engineering, or related field.
• 5+ years of experience in sensor validation, hardware integration, or robotics hardware testing.
• Strong, hands-on experience with robotic sensors such as Tactile, ToF, RGB-D, LIDAR, IMU — both hardware setup and data characterization.
• Proven track record designing or executing structured data collection campaigns in physical environments.
• Experience with safety-critical systems or working with physical hardware in a controlled testing environment (e.g., collision avoidance, redundancy, error handling).

Bonus Experience

• Experience with fixed-arm robotics systems, humanoid systems and motion capture or pose estimation tools.
• Familiarity with ROS or ROS2, especially for integrating real-time data capture or managing sensor drivers.
• Exposure to simulation environments (e.g., Isaac Sim, Gazebo) to support hybrid testing or validation.
• Experience supporting AI/ML teams with structured, annotated, and high-quality ground-truth datasets.
• Experience with Reinforcement Learning (RL), particularly in the context of safe deployment of RL agents on physical robots, including the application of safety protocols and risk mitigation strategies.

Why Join Us?

Join ADI's Edge AI team to help create truly intelligent edge systems — where sensing, learning, and acting happen in real time. You'll work in a fast-paced, collaborative environment, solving hard problems with people who care about impact, reliability, and real-world performance.