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Senior State Estimation Engineer

Hayden AI

San Francisco, CA · HybridFull-time$200–261K/yrPosted 5mo agoStill listed 4 days ago

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At a glance

Compensation
$200–261K/yr
Location
San Francisco, CAHybrid
Schedule
Full-time
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Master's degree

Job overview

Hayden AI seeks a Senior State Estimation Engineer to develop novel real-time pose estimation algorithms, conduct large‑scale mapping research, and collaborate across deep‑learning, device, and cloud teams while mentoring junior engineers.

Skills & qualifications

RequiredNice to have

Skills

C++PythonClassical MLLinear AlgebraStochastic ProcessesGeometric Computer VisionOptimizationKalman FilterMAPSequential Monte CarloNonlinear Least SquaresIRLSMHTGPSIMUCameraWheel OdometrySLAM/VIOMulti‑Sensor Calibration

Qualifications

Master of Science Degree or the Foreign Equivalent in Electrical and Computer Engineering Robotics Machine Learning Computer Science Electrical Engineering or a Related FieldFive+ Years Experience in the Position Offered as a Software Engineer Software Engineer Intern or a Related State Estimation Engineer Role

Full 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.

What the job involves

As a Senior State Estimation Engineer at Hayden AI, you will be asked to 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

  • Contribute to high impact, multidisciplinary projects across teams

  • Program and develop software in C++ and/or python

  • Derive and implement novel, real-time pose estimation algorithms

  • 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

  • Provide mentorship to our junior engineers

Required Qualifications

  • Master of Science degree or the foreign equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field.

  • Five (5)+ years of experience in the position offered, as a software engineer, software engineer intern, or a related state estimation engineer role.

  • Five (5) years of experience with all of the following: programming in C++; designing and developing software; classical ML, Linear Algebra, Stochastic Processes, Geometric Computer Vision and Optimization (Convex, Nonlinear); Kalman Filter, MAP, Sequential Monte Carlo (particle filter), Nonlinear Least squares, IRLS and MHT; GPS, IMU, camera and wheel odometry.

  • Experience deploying SLAM/VIO estimators in a real-world application.

  • Work with multiple sensors such as GPS, IMU, camera, LIDAR, and wheel odometry.

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