Senior Applied Scientist Amazon Robotics Perception Systems
Overview
Lead the development of perception systems harnessing radar and thermal imaging to enable robots to operate reliably in challenging conditions. Drive ML-driven perception pipelines for non-traditional sensing modalities at scale. This role defines the future of autonomous robotics through cutting-edge research and deployment.
What You'll Do11
- 1Lead the research design and development of ML-based perception pipelines for radar and thermal imaging modalities
- 2Develop deep learning models for object detection classification segmentation and tracking using radar data and thermal imagery
- 3Design and implement multi-modal fusion architectures combining radar thermal camera and depth data for robust perception
- 4Create novel representations and feature extraction methods tailored to radar and thermal sensor characteristics
- 5Build end-to-end perception systems from raw sensor data processing to real-time deployment
- 6Collaborate with hardware navigation planning and controls teams to define sensor configurations and integrate autonomy solutions
- 7Establish benchmarks datasets and evaluation frameworks for radar and thermal perception
- 8Mentor scientists and engineers fostering scientific rigor innovation and high-impact delivery
- 9Publish research findings in top-tier venues and contribute to patents
- 10Train ML models for deployment in simulation and real-world robots identifying post-deployment limitations
- 11Drive technical discussions to develop innovative solutions addressing identified limitations
Requirements15
- 15+ years of hands-on experience in computer vision including object detection segmentation tracking or scene understanding
- 2Strong expertise in developing deep learning models for visual perception tasks
- 3Experience processing and applying ML-based approaches to radar data and/or thermal/infrared imagery
- 4Proven track record of deploying perception systems from research to production
- 5Strong publication record in top-tier computer vision robotics or ML venues
- 6Experience in autonomous driving perception pipelines leveraging radar and/or thermal sensors
- 7Hands-on experience with 4D imaging radar processing radar signal processing or radar-camera fusion
- 8Familiarity with thermal/LWIR camera systems for pedestrian detection night-time perception or adverse weather sensing
- 9Knowledge of radar-specific challenges such as sparsity multi-path reflections clutter Doppler ambiguity and cross-modal calibration
- 10Experience with foundation models or large pre-trained representations adapted to non-RGB modalities
- 11Familiarity with sensor calibration synchronization and extrinsic intrinsic parameter estimation across heterogeneous sensor suites
- 12Experience with sim-to-real transfer and synthetic data generation for radar and thermal modalities
- 13Knowledge of relevant datasets including nuScenes Radiate FLIR ADAS DENSE Astyx RADDet Boreas
- 14Experience with real-time inference model optimization TensorRT ONNX and edge deployment
- 15Familiarity with ROS/ROS2 and real-time robotics middleware
Salary Insight
$192 - $260k per year
Location
Required Skills
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