Hayden AI · 2 months ago
Staff State Estimation Engineer
San Francisco, CA
Full-time
Hybrid
Lead/Staff
$221K/yr - $260K/yr
10+ years expHayden AI is on a mission to harness the power of computer vision to transform transit systems and government agencies. The Staff State Estimation Engineer will lead the development of advanced mapping, localization, and SLAM solutions, collaborating with cross-functional teams to implement real-time pose estimation algorithms and manage complex projects.
AnalyticsArtificial Intelligence (AI)Big DataComputer VisionGeospatialMachine Learning
Responsibilities
Lead high-impact multidisciplinary projects across teams and work independently to define the scope and work requirements
Derive and implement novel, real-time pose estimation algorithms and share the work across a multidisciplinary team
Research, develop, and implement algorithms to solve problems such as large-scale mapping, probabilistic object tracking, online/offline sensor calibration, and/or vision-based localization
Collaborate with deep learning, device, and cloud teams to improve overall system architectures
Manage complex, cross-functional projects from conception to delivery
Create and maintain comprehensive project roadmaps and technical documentation
Program and develop software in C++ and perform detailed code reviews for other team members
Qualification
Required
Bachelor of Science degree (M.S. or Ph.D. preferred) or the foreign equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field
10+ years of experience (8+ with M.S degree, 6+ with Ph.D.) in the position offered, as a software engineer, software engineer intern, or a related state estimation engineer role
10+ years of experience (8+ with M.S degree, 6+ with Ph.D.) with all of the following: programming in C++; designing and developing software; classical ML, Linear Algebra
Understanding of stochastic processes, geometric computer vision techniques, and nonlinear/convex optimization algorithms
Understanding of various filtering algorithms (Kalman filters, particle filters, etc.) and nonfiltering techniques (nonlinear least squares, IRLS, etc.)
Understand numerical stability, sensor modeling, and system/noise identification concepts
Understand theoretical shortcomings in modern algorithms and problem solve to overcome them
Understanding of camera geometry, bundle adjustment, stereo vision, structure from motion, feature tracking, multi-object tracking, IMU integration, factor graphs, etc
Published research in computer vision and robotics (if M.S. or Ph.D.)
Strong leadership and communication skills
Experience in technology transfer and commercialization
Preferred
Experience deploying SLAM/VIO estimators in a real-world application
Experience with multiple sensors such as GPS, IMU, camera, and wheel odometry
Experience utilizing/interacting with deep learning approaches to improve results
Experience leading a small team of engineers
Company
Hayden AI
Automated Traffic Enforcement Platform
51-200 employees
H1B Sponsorship
Hayden AI has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (20)
2024 (4)
2023 (6)
2022 (1)
2021 (2)
Funding
Current Stage
Growth StageTotal Funding
$193.41MKey Investors
The Rise FundBarcelona Innova Lab MobilityAlumni Ventures
2024-07-10Series C· $90M
2024-07-03Grant· $0.11M
2023-12-08Series B
Leadership Team
Marty Beard
Chief Executive Officer
Recent News
Morningstar.com
2025-10-23
Business Wire
2025-08-04
Company data provided by crunchbase