Senior State Estimation Engineer
Quick Summary
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…
Master of Science degree or the foreign equivalent in Electrical and Computer Engineering, Robotics, Machine Learning, Computer Science, Electrical Engineering or a related field.
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.
Responsibilities
~1 min read- →
Contribute to high impact, multidisciplinary projects across teams
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Program and develop software in C++ and/or python
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Derive and implement novel, real-time pose estimation algorithms
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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
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Collaborate with deep learning, device, and cloud teams to improve overall system architectures
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Provide mentorship to our junior engineers
Requirements
~1 min readMaster 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.
Location & Eligibility
Listing Details
- Posted
- April 21, 2026
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 32%
- Scored at
- May 6, 2026
Signal breakdown
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