Senior State Estimation Engineer

Hayden AI; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A tech company specializing in computer vision seeks a Senior State Estimation Engineer in San Francisco to develop algorithms for real-time pose estimation and mapping. The ideal candidate holds a Master's degree and has over 5 years of experience in software engineering, especially in C++ programming and machine learning. You will collaborate across teams and mentor junior engineers while contributing to impactful projects aimed at optimizing transit systems. Join us to advance safety and sustainability in public transport.

Qualifications

• Master of Science in a relevant field such as Electrical Engineering or Robotics.
• 5+ years of experience as a software engineer or similar roles.
• Experienced in C++ and software development.

Responsibilities

• Contribute to multidisciplinary projects across teams.
• Develop software in C++ and Python.
• Implement real-time pose estimation algorithms.
• Collaborate with teams to improve system architectures.
• Mentor junior engineers.

Skills

C++ Programming

Python Programming

Machine Learning

Geometric Computer Vision

Kalman Filter

GPS and IMU integration

Education

Master's Degree in Electrical and Computer Engineering or related field

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.