We are seeking an Applied Scientist to focus on Robotics Localization, Mapping, and Geometric Reconstruction. In this role, you'll research and build advanced SLAM and World Reconstruction algorithms that enable robots to know its pose in the world and fulfill various tasks in complex and dynamic home environments. You'll work across a broad spectrum of visual inertial odometry, 3D pose estimation, mapping, and geometric reconstruction problems to build robust solutions that support autonomous decision making, task planning, navigation, and manipulation.
Key job responsibilities
- Develop and implement robust robot state estimation, pose estimation, mapping, and reconstruction algorithms.
- Build simulation-based and on-robot evaluation frameworks with comprehensive benchmarks and metrics for systematic evaluation of our spatial intelligence stack.
- Lead scientific and technical projects across the spatial intelligence team.
- Collaborate with navigation, manipulation, and other teams to ensure seamless integration of localization, tracking, and mapping capabilities.
- Mentor junior scientists and engineers to solve real-world robotics problems.
BASIC QUALIFICATIONS
- PhD, or Master's degree and 6+ years of applied research experience
- Experience leading technical initiatives and key deliverables
- 6+ years of building Localization and Mapping algorithms experience.
- Strong publication record at major Robotics/ML/AI conferences (e.g., RSS, CoRL, ICRA, IROS, NeurIPS, ICML, ICLR)
- Experience programming in Python, C++,or related language
PREFERRED QUALIFICATIONS
- Hands-on experience with modern solutions in the field of Localization, Mapping, and reconstruction such as Gaussian Splatting, Foundation Models (e.g. VGGT), etc.
- History of impactful first-author publications at major journals or conferences
- Experience bridging research with practical engineering implementation in robotics systems
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, Sunnyvale - 192,200.00 - 260,000.00 USD annually