Lead, State Estimation & SLAM Engineering

haydenai

San Francisco (CA)

On-site

USD 180,000 - 260,000

Full time

14 days+
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Job summary

Hayden AI is seeking an Engineering Manager, State Estimation to lead a high-performing team focused on mapping, localization, and SLAM for embedded camera systems. You will shape the technical roadmap and collaborate across device, cloud, and applied AI teams to deploy robust state estimation solutions.

Ideal candidates have 10+ years of industry experience with leadership, deep knowledge of Kalman/particle filters, multi-sensor fusion, and strong C++ development skills, and a track record of

Qualifications

  • Bachelor of Science in Electrical and Computer Engineering, Robotics, ML, CS, or related field.
  • 10+ years of industry experience with leadership responsibilities.
  • Experience leading teams on state estimation, localization, or SLAM.
  • Strong C++ development fundamentals and CV knowledge.
  • Familiarity with Kalman and nonlinear optimization methods.

Responsibilities

  • Build and mentor a team working on state estimation for embedded camera systems.
  • Define technical direction and prioritize projects aligned with company goals.
  • Drive cross-functional programs across research, hardware, and product teams.
  • Provide guidance on algorithm design and system architecture.
  • Foster innovation, rigor, and collaboration within the team.
  • Develop roadmaps, milestones, and technical documentation.
  • Partner with leadership to define long-term localization strategies.
  • Review designs and ensure scalable, high-quality implementations.
  • Lead recruitment, hiring, and performance management.

Skills

C++ development
Geometric computer vision
Stochastic processes
Optimization
Kalman filtering
Particle filters
Camera geometry
Structure from Motion
Multi-sensor fusion
Strong leadership

Education

BS in Electrical and Computer Engineering / Computer Science / Robotics
MS or PhD preferred

Job description

Hayden AI is seeking an Engineering Manager, State Estimation to lead a high-performing team focused on mapping, localization, and SLAM for embedded camera systems. You will shape the technical roadmap and collaborate across device, cloud, and applied AI teams to deploy robust state estimation solutions.

Ideal candidates have 10+ years of industry experience with leadership, deep knowledge of Kalman/particle filters, multi-sensor fusion, and strong C++ development skills, and a track record of

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