Conduct original research in embodied AI, robotic manipulation, and world modeling—including perception, planning, and control.
Compensation
Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, or relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only. It does not include discretionary bonus, equity, or benefits.
Responsibilities
Conduct original research in embodied AI, robotic manipulation, and world modeling—including perception, planning, and control.
Develop and evaluate large-scale multimodal models that integrate vision, language, proprioception, and tactile inputs for real-world robotic tasks.
Create and prototype algorithms for dexterous robotic hands, contact-rich manipulation, and adaptive task generalization.
Explore methods for sim-to-real transfer, self-supervised physical interaction learning, and reinforcement learning in dynamic environments.
Collaborate with hardware and systems teams to translate research into real robotic systems—from simulation to physical deployment.
Requirements
Master’s or Ph.D. in Robotics, Computer Science, Artificial Intelligence, Mechanical/Electrical Engineering, or related fields.
Nice to have: Ph.D. (or Ph.D. candidate expecting graduation within 6–12 months).
Nice to have: Track record of publications in top AI or robotics conferences (CoRL, ICRA, IROS, RSS, NeurIPS, CVPR, ICML).
Lead the development of sensor calibration, mapping, and localization systems for a multi-vehicle fleet, ensuring accurate perception and planning models.
Compensation
$200,000 - $300,000
Responsibilities
Design and implement sensor calibration systems (camera, LiDAR, radar, IMU) for factory and in-field use
Build and maintain mapping pipelines, including map creation, versioning, and drift detection
Develop and improve localization algorithms, including sensor fusion, odometry, and SLAM
Define accuracy, latency, and reliability requirements for outputs consumed by downstream teams
Build tooling to validate calibration and localization quality at fleet scale
Develop and optimize Visual Inertial Odometry and sensor fusion systems for Amazon’s intelligent robots.
Compensation
USA, NY, New York - 172,400.00 - 223,400.00 USD annually
Responsibilities
Design and implement Visual Inertial Odometry algorithms for robust real-time state estimation on robotic platforms
Develop multi-sensor fusion pipelines integrating cameras, IMUs, and other sensing modalities for accurate pose tracking
Optimize perception and tracking algorithms for deployment on embedded hardware (e.g., ARM, GPU-accelerated edge devices) under strict latency and power constraints
Apply modern ML-based perception techniques to complement and improve classical geometric approaches
Build and maintain calibration, evaluation, and benchmarking infrastructure for perception systems
Requirements
Nice to have: Unix/Linux
Nice to have: professional software development
Nice to have: publications at major robotics or computer vision conferences
Nice to have: real-time systems programming
Nice to have: performance profiling on ARM/GPU platforms
health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
