Apply modern ML-based perception techniques (learned features, depth estimation, neural odometry) to complement and improve classical geometric approaches
Build and maintain calibration, evaluation, and benchmarking infrastructure for perception systems
Collaborate with hardware, controls, and navigation teams to integrate perception outputs into the robot’s autonomy stack
Lead technical projects from research prototyping through production deployment
3+ years of building models for business application experience
Experience in patents or publications at top-tier peer-reviewed conferences or journals
Experience programming in Java, C++, Python or related language
Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
Hands-on experience developing and deploying Visual Inertial Odometry or visual-inertial SLAM systems
Strong understanding of multi-sensor fusion (cameras, IMUs, odometry) and state estimation (EKF, factor graphs)
Experience optimizing perception algorithms for embedded or resource-constrained hardware
Demonstrated hands-on experience with real sensor data, calibration, and physical robot platforms
Familiarity with modern ML approaches to perception (learned feature extraction, depth prediction, end-to-end odometry)
Experience using Unix/Linux
Experience in professional software development
Publication record at major robotics or computer vision conferences (e.g., ICRA, IROS, RSS, CVPR, ECCV)
Experience with real-time systems programming and performance profiling on ARM/GPU platforms
Experience with state estimation on legged robots
Experience with stereo vision systems, camera-IMU calibration, time synchronization, and sensor characterization
Track record of shipping VIO or SLAM systems to production on physical robots at scale
Experience with NVIDIA Jetson, Qualcomm RB5, or similar embedded AI platforms
Familiarity with ROS/ROS2
Experience integrating learned perception modules (e.g., neural depth, feature matching networks) into geometric estimation pipelines
History of technical leadership and cross-functional collaboration
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Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including 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), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, NY, New York - 172,400.00 - 223,400.00 USD annually
