Engineering Manager (State Estimation)

The Engineering Manager, State Estimation will lead a high-performing team focused on developing advanced mapping, localization, and SLAM (Simultaneous Localization and Mapping) solutions for embedded camera systems

You will oversee the research, development, and deployment of large-scale mapping and localization solutions, while shaping the technical roadmap and ensuring successful collaboration across device, cloud, and applied AI teams

Build, mentor, and manage a team of engineers developing state-of-the-art mapping, localization, and SLAM algorithms

Set technical direction and project priorities, aligning them with broader organizational goals

Drive high-impact, cross-functional projects from conception through deployment, coordinating with research, hardware, and product teams

Provide technical guidance on algorithm design, system architecture, and implementation, while ensuring best practices in software development and performance optimization

Foster a culture of innovation, technical rigor, and collaboration across the team

Develop and maintain project roadmaps, milestones, and technical documentation

Partner with senior leadership to define long-term strategies for localization, state estimation, and multi-sensor calibration

Review and approve designs, architectures, and implementations, ensuring technical excellence and scalability

Lead recruitment, hiring, and performance management to grow a world-class engineering team

Bachelor of Science degree (M.S. or Ph.D. preferred) in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, or a related field

Proven experience leading engineering teams working on state estimation, localization, or SLAM technologies

Strong foundation in C++ development, geometric computer vision, stochastic processes, and nonlinear/convex optimization

Experience in technology transfer and delivering research innovations into production systems

10+ years of industry experience (8+ years with an M.S., 6+ years with a Ph.D.), including significant leadership or management responsibilities

Familiarity with camera geometry, structure from motion, multi-sensor fusion, factor graphs, and related state estimation concepts

Deep understanding of filtering algorithms (e.g., Kalman, particle filters) and optimization-based methods (e.g., nonlinear least squares)

Exceptional communication skills, with the ability to collaborate effectively across engineering, research, and product functions

Strong track record of technical execution combined with leadership and team-building skills

Demonstrated success deploying SLAM/VIO estimators in real-world applications

Experience with multi-sensor systems, including GPS, IMU, camera, and wheel odometry

Strong record of published research or contributions to the robotics and computer vision community

Exposure to integrating deep learning with classical state estimation approaches

Experience scaling and leading multi-disciplinary engineering teams