Engineering Manager, State Estimation
Hayden AI
full-time
Posted on:
Location: California • 🇺🇸 United States
Visit company websiteSalary
💰 $220,000 - $270,000 per year
Job Level
SeniorLead
Tech Stack
Cloud
About the role
- Lead a high-performing team developing advanced mapping, localization, and SLAM solutions for embedded camera systems
- Oversee the research, development, and deployment of large-scale mapping and localization solutions
- Shape the technical roadmap and set technical direction and project priorities aligned with 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; ensure 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 to ensure technical excellence and scalability
- Lead recruitment, hiring, and performance management to grow a world-class engineering team
Requirements
- Bachelor of Science degree (M.S. or Ph.D. preferred) in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, or a related field
- 10+ years of industry experience (8+ years with an M.S., 6+ years with a Ph.D.) including significant leadership or management responsibilities
- 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
- Deep understanding of filtering algorithms (e.g., Kalman, particle filters) and optimization-based methods (e.g., nonlinear least squares)
- Familiarity with camera geometry, structure from motion, multi-sensor fusion, factor graphs, and related state estimation concepts
- Experience deploying SLAM/VIO estimators and integrating multi-sensor systems (GPS, IMU, camera, wheel odometry)
- Exposure to integrating deep learning with classical state estimation approaches (preferred)
- Strong record of published research or contributions to the robotics and computer vision community (preferred)
- Experience scaling and leading multi-disciplinary engineering teams (preferred)
- Exceptional communication skills and ability to collaborate across engineering, research, and product functions
- Experience in technology transfer and delivering research innovations into production systems
- Authorized to work in the United States (employer will verify eligibility)
- Willingness/ability to commute to the San Francisco office up to three days each week and relocate if required