Description
We are seeking a Principle Applied Scientist to join Compass. In this role, you will own the perception input into the Compass safety system, defining how robots perceive, interpret, and anticipate their surroundings in safety-critical @contexts. You will develop novel approaches to environment understanding that go beyond static scene representation, providing real-time, predictive models of how humans, objects, and dynamic obstacles may evolve over short time horizons. Your work will directly unlock robot performance by replacing conservative assumptions with precise, learned understandings of risk. You will set the scientific direction for perception within Compass, collaborate closely with controls, planning, and firmware teams, and influence the broader Amazon Robotics safety architecture.
Key job responsibilities
Define and drive the long-term scientific vision for safety-critical perception within Compass, spanning multiple robot platforms and deployment environments
Develop novel perception algorithms that provide real-time, predictive representations of dynamic environments including human motion forecasting, obstacle trajectory prediction, and scene evolution modeling
Design perception outputs that are tightly coupled to safety constraints, enabling control barrier functions to operate with minimal conservatism while maintaining formal safety guarantees
Research and develop methods to quantify and bound perception uncertainty, providing calibrated confidence estimates that safety systems can reason over
Architect perception pipelines that generalize across sensor modalities (LiDAR, depth cameras, RGB, radar) and robot morphologies without platform-specific retraining
Investigate the application of foundation models and large-scale pre-training to safety-critical perception tasks, establishing when and how learned representations can be trusted at safety-critical confidence levels
Collaborate with controls, motion planning, and firmware teams to define interface contracts between perception and downstream safety modules
Publish research at top-tier venues and represent Amazon Robotics in the broader academic and industry community
Mentor and develop a team of applied scientists and research engineers
Influence Amazon Robotics' safety architecture and perception strategy at the organizational level
About the team
Work with the inventors of control barrier functions on a novel, universal approach to safe autonomy. You'll push the boundary of safe performance by integrating safety with motion planning, RL, and foundation models, ensuring that safety is never a blocker to robot performance.
Basic Qualifications
PhD in Electrical Engineering, Computer Science, Mathematics, or a related technical field
6+ years of experience in perception research and development, with a significant portion in robotics or embodied AI
Deep expertise in one or more of: 3D scene understanding, object detection and tracking, motion prediction, occupancy forecasting, or semantic scene representation
Proven track record of publications at top-tier venues (e.g., CVPR, ICCV, ECCV, NeurIPS, ICRA, RSS, CoRL)
Experience deploying perception systems on physical robots operating in unstructured or human-shared environments
Proficiency in Python and C++ with experience writing production-grade perception code
Demonstrated ability to set technical direction and influence across teams at a senior level
Preferred Qualifications
10+ years of relevant work in industry or academia experience
Experience creating novel algorithms and advancing the state of the art
Have peer-reviewed scientific contributions in premier journals and conferences
Experience with safety-critical perception, including uncertainty quantification, out-of-distribution detection, or formal verification of learned perception models
Familiarity with control barrier functions, reachability analysis, or other formal safety methods and how perception feeds into them
Experience with real-time perception on resource-constrained hardware (edge compute, embedded GPUs)
Track record of building perception systems that generalize across multiple sensor configurations or robot platforms
Experience with foundation models or large-scale self-supervised learning applied to robotics perception
Knowledge of functional safety standards (e.g., IEC 61508, ISO 13849) as they relate to perception system design
Experience with human motion prediction, intent estimation, or social navigation
Demonstrated ability to build and lead a research team, including hiring, mentoring, and career development
Strong cross-functional collaboration skills with experience influencing product and architecture decisions at the organizational level
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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.
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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, PASADENA - 198,900.00 - 269,000.00 USD annually
