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Engineering Manager, State Estimation
Engineering Manager, State EstimationHayden AI • Springfield, MA, US
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Engineering Manager, State Estimation

Engineering Manager, State Estimation

Hayden AI • Springfield, MA, US
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  • [job_card.full_time]
[job_card.job_description]

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.

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.
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