- Lead a team of 8–12 Applied Scientists, Research Scientists and Software Development Engineers developing novel navigation and state estimation algorithms, including Kalman filtering (EKF/UKF, error-state), tightly and loosely coupled GNSS/INS integration, multi-sensor fusion and observability analysis, integrity monitoring (RAIM, fault detection and exclusion), and visual navigation (VIO/VSLAM).
- Drive day-to-day execution across the full development lifecycle: prototyping, modeling, simulation testing, hardware-in-the-loop testing, flight test and deployment to the production fleet.
- Lead the team in a scrum-style agile process: set sprint priorities, manage dependencies and deliver against program milestones.
- Build mechanisms that capture operational learnings from our delivery network, such as flight data, anomalies and performance trends, and feed them into the requirements and design of each new generation of algorithms.
- Set technical direction and raise the bar on scientific rigor.
- Partner with Flight controls, Perception, Hardware, Safety, Simulation and Flight Operations teams to define interfaces, requirements and verification evidence.
- Hire, mentor and develop Applied Scientists, Research Scientists and SDEs, building a diverse, high-performing team with a strong safety culture.
- Communicate technical strategy, trade-offs, risks and results clearly in writing and in reviews with senior leadership.
- PhD, or Master's degree and 6+ years of applied research experience
- Experience directly managing scientists or machine learning engineers
- Experience with the Scrum methodology (or similar alternatives) for agile software development
- Experience programming in C++, Python, or related language
- Experience communicating with users, other technical teams, and management to collect requirements, describe software product features, and technical designs
- Experience hiring and growing top talent
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations
- Proficient in navigation related algorithm development (EKF/UKF, tightly vs. loosely coupled GNSS/INS), sensor fusion, observability, and integrity monitoring (RAIM, fault detection and exclusion).
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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, WA, Seattle – 183,800.00 - 248,700.00 USD annually
