Engineering Manager, State Estimation

About the Company

At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges. Our innovative mobile perception system empowers clients to accelerate transit, enhance street safety, and drive toward a sustainable future.

Responsibilities

• 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
• Provide technical guidance on algorithm design, system architecture, and implementation
• Foster a culture of innovation, technical rigor, and collaboration
• Develop and maintain project roadmaps, milestones, and technical documentation
• Partner with senior leadership to define long-term strategies for localization and multi-sensor calibration
• Lead recruitment, hiring, and performance management

Requirements

• Bachelor of Science degree in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, or related field
• 10+ years of industry experience (8+ years with M.S., 6+ years with Ph.D.)
• Proven experience leading engineering teams in state estimation, localization, or SLAM
• Strong foundation in C++, geometric computer vision, stochastic processes, and nonlinear/convex optimization
• Deep understanding of filtering algorithms (Kalman, particle filters) and optimization-based methods
• Familiarity with camera geometry, structure from motion, multi-sensor fusion, and factor graphs
• Experience in technology transfer and delivering research innovations into production systems

Preferred Qualifications

• Demonstrated success deploying SLAM/VIO estimators in real-world applications
• Experience with multi-sensor systems (GPS, IMU, camera, wheel odometry)
• Exposure to integrating deep learning with classical state estimation
• Published research or contributions to the robotics and computer vision community