2 months ago
Base Salary
$172k - $223k/yr
Responsibilities
- Design and implement real-time Visual Inertial Odometry algorithms for robotic platforms.
- Develop multi-sensor fusion pipelines using cameras, IMUs, and other sensing modalities for pose tracking.
- Optimize perception and tracking algorithms for embedded ARM and GPU-accelerated hardware under latency and power constraints.
- Apply learned features, depth estimation, and neural odometry alongside classical geometric perception methods.
- Build calibration, evaluation, and benchmarking infrastructure for perception systems.
- Integrate perception outputs with hardware, controls, navigation, and robot autonomy teams.
- Lead projects from research prototyping through production deployment.
Requirements
- At least 3 years of experience building models for business applications.
- PhD, or a master's degree plus at least 4 years of experience in computer science, computer engineering, machine learning, or a related field.
- Patents or publications in top-tier peer-reviewed conferences or journals.
- Programming experience in Java, C++, Python, or a related language.
- Experience with algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, or high-performance computing.
- Hands-on experience developing and deploying Visual Inertial Odometry or visual-inertial SLAM systems.
- Strong understanding of multi-sensor fusion and state estimation, including cameras, IMUs, odometry, EKF, and factor graphs.
- Experience optimizing perception algorithms for embedded or resource-constrained hardware.
- Hands-on experience with real sensor data, calibration, and physical robot platforms.
- Familiarity with modern machine-learning approaches to perception, including learned feature extraction, depth prediction, and end-to-end odometry.
- Preferred experience with Unix/Linux, professional software development, real-time systems programming, performance profiling, ARM/GPU platforms, legged robots, stereo vision, camera-IMU calibration, time synchronization, and sensor characterization.
- Preferred track record of shipping VIO or SLAM systems to production robots at scale.
- Preferred experience with NVIDIA Jetson, Qualcomm RB5, or similar embedded AI platforms and familiarity with ROS/ROS2.
- Preferred publication record at robotics or computer-vision conferences and history of technical leadership and cross-functional collaboration.
Benefits
- Amazon offers health insurance including medical, dental, vision, prescription, life and AD&D coverage, an Employee Assistance Program, mental health support, a medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement.
- Benefits include 401(k) matching, paid time off, and parental leave.
- The position is based in New York, New York, USA.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.