Staff AI / ML Robotics Engineer - Environmental Perception

What You'll Do

• Design, prototype, and deploy algorithms for SLAM, visual odometry , and multi-sensor fusion (e.g., camera, IMU, LiDAR, encoders) in robotics and edge computing applications.
• Develop AI-driven methods for mapping, pose estimation, localization , and semantic perception , with an emphasis on performance and generalization.
• Train and evaluate deep learning models for spatial understanding, integrating with classical perception pipelines when needed.
• Work with real-world and simulated sensor data to test and refine models; contribute to internal datasets and benchmarking tools.
• Collaborate with embedded, systems, and software teams to bring perception solutions to production on resource-constrained edge platforms.
• Participate in project planning, code reviews, and architectural discussions; take ownership of technical areas and deliver high-quality, reliable implementations.
• Stay current with trends in AI for robotics (e.g., transformer-based perception, self-supervised learning, foundation models), and help integrate relevant advancements into our workflows.
• Qualifications 6+ years of experience in AI, robotics, or computer vision, including 4+ years focused on SLAM, sensor fusion, or perception systems .
• Bachelor’s degree in a relevant field (e.g., Robotics, Computer Science, Electrical Engineering); M.S. or Ph.D. preferred.
• Strong understanding of 3D geometry, motion estimation, sensor fusion , and real-time system design.
• Hands-on experience building and deploying SLAM or VIO systems (e.g., ORB-SLAM, RTAB-Map, DSO, OpenVINS, Cartographer).
• Proficient in Python and C++ , with practical experience using PyTorch , TensorFlow , or ROS .
• Comfortable working with real-world sensor data (e.g., stereo cameras, LiDAR, IMU) and simulation tools like Gazebo, Isaac Sim, or Unreal.
• Experience with DevOps/MLOps tools : Docker, CI/CD pipelines, cloud platforms (Azure, AWS), version control (Git).
• Skilled at communicating technical insights, collaborating with multi-disciplinary teams, and contributing to shared architectural decisions.
• Bonus Experience Experience integrating perception models with control loops, path planning , or robot operating systems (ROS2) .
• Knowledge of self-supervised or foundation model-based perception techniques .
• Familiarity with industrial robotics, AMRs, or autonomous systems in structured environments.
• Contributions to open-source robotics or AI frameworks.
• 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. #LI-BF1 For positions requiring access to technical data, Analog Devices, Inc. may have to obtain export licensing approval from the U.S.
• Department of Commerce - Bureau of Industry and Security and/or the U.S.
• Department of State - Directorate of Defense Trade Controls.
• As such, applicants for this position – except US Citizens, US Permanent Residents, and protected individuals as defined by 8 U.S.C. 1324b(a)(3) – may have to go through an export licensing review process.
• We foster a culture where everyone has an opportunity to succeed regardless of their race, color, religion, age, ancestry, national origin, social or ethnic origin, sex, sexual orientation, gender, gender identity, gender expression, marital status, pregnancy, parental status, disability, medical condition, genetic information, military or veteran status, union membership, and political affiliation, or any other legally protected group.
• Job Req Type: Experienced Required Travel: Yes, 10% of the time Shift Type: 1st Shift/Days