Our team is a diverse group of scientists and engineers passionate about building intelligent machines. We value curiosity, rigor, and a bias for action. We believe in learning from failure and iterating quickly toward solutions that matter.
- Experience programming in Java, C++, Python or related language
- PhD in computer science, electrical engineering, or related field
- 5+ years of hands-on experience in Computer Vision — including object detection, segmentation, tracking, or scene understanding
- Strong expertise in developing and deploying deep learning models for visual perception tasks
- Experience processing and applying ML-based approaches to radar data and/or thermal/infrared imagery
- Strong experience with deep learning frameworks (PyTorch, TensorFlow, or equivalent)
- Proven track record of delivering perception systems from research to production
- Strong publication record in top-tier computer vision, robotics, or ML venues
- Experience in the autonomous driving industry, particularly in developing perception pipelines that leverage radar and/or thermal sensors for self-driving vehicles
- Hands-on experience with 4D imaging radar processing, radar signal processing, or radar-camera fusion in AV stacks
- Experience with thermal/LWIR camera systems for pedestrian detection, night-time perception, or adverse-weather sensing conditions
- Familiarity with radar-specific challenges: sparsity, multi-path reflections, clutter, Doppler ambiguity, and cross-modal calibration
- Experience with foundation models or large pre-trained representations adapted to non-RGB modalities (radar, thermal, SAR)
- Knowledge of sensor calibration, synchronization, and extrinsic/intrinsic parameter estimation across heterogeneous sensor suites
- Experience with sim-to-real transfer and synthetic data generation for radar and thermal modalities
- Familiarity with relevant datasets (nuScenes, Radiate, FLIR ADAS, DENSE, Astyx, RADDet, Boreas)
- Experience with real-time inference, model optimization (TensorRT, ONNX), and edge deployment
- Experience with ROS/ROS2 and real-time robotics middleware
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position.
These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, SAN FRANCISCO – 192,200.00 - 260,000.00 USD annually
USA, CA, Sunnyvale – 192,200.00 - 260,000.00 USD annually