Engineering Manager, State Estimation
Company: Hayden AI
Location: San Francisco
Posted on: April 1, 2026
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Job Description:
About Us 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. From bus lane
and bus stop enforcement to transportation optimization
technologies and beyond, our innovative mobile perception system
empowers our clients to accelerate transit, enhance street safety,
and drive toward a sustainable future. Job Summary: 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. 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, 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.
Required Qualifications: 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. Strong track record of technical execution combined with
leadership and team-building skills. Exceptional communication
skills, with the ability to collaborate effectively across
engineering, research, and product functions. 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, including GPS, IMU, camera,
and wheel odometry. Exposure to integrating deep learning with
classical state estimation approaches. Strong record of published
research or contributions to the robotics and computer vision
community. Experience scaling and leading multi-disciplinary
engineering teams
Keywords: Hayden AI, Novato , Engineering Manager, State Estimation, Engineering , San Francisco, California
