Staff State Estimation Engineer | Hayden AI · Teeming.ai
Hayden AI
At Hayden AI, we’re pioneering real world problem solving powered by AI and machine learning. From bus lane and bus stop enforcement to digital twin modeling and more, our clients use our mobile perception system to speed up transit, make streets safer, and create a more sustainable future. Our privacy first approach ensures that our technologies comply with security and privacy regulations and protect personal information while fostering innovation.
At Hayden AI, we’re pioneering real world problem solving powered by AI and machine learning. From bus lane and bus stop enforcement to digital twin modeling and more, our clients use our mobile perception system to speed up transit, make streets safer, and create a more sustainable future. Our privacy first approach ensures that our technologies comply with security and privacy regulations and protect personal information while fostering innovation.
Headquarters / Founded: San Francisco; founded 2019
Core product: Vehicle-mounted vision AI and edge spatial analytics for transit zone enforcement and digital twin modeling
Security certifications: SOC 2 Type II and ISO/IEC 27001
Recent financing: Series C led by The Rise Fund (TPG) announced July 2024
Reported employees: Approx. 185
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Company Overview
Problem Domain
Urban mobility, transit enforcement, street safety, and spatial analytics for cities.
Founded
2019
Industry
Software Development
Funding Track Record
Series A
$20M
Series A participation included Autotech Ventures, BootstrapLabs, Modern Venture Partners
Series B
$53M
Described as oversubscribed
Series C- July 10, 2024
$90M
Announced as growth equity financing
Founders
What we do
Join the Team
Staff State Estimation Engineer
On-SiteSan Francisco, CA, US
On-Site • San Francisco, CA, US
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 Staff State Estimation Engineer will coordinate with cross-functional teams and drive the development of advanced mapping, localization, and SLAM (Simultaneous Localization and Mapping) solutions for embedded camera systems. They will derive and implement novel real-time pose estimation algorithms. Research, develop and implement algorithms to solve large-scale mapping. Collaborate with other engineers to develop algorithms for in-situ and in-factory multi-sensor calibration.
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
Required Qualifications
Preferred Qualifications
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.
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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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.