Haydenai
Senior State Estimation Engineer
2mo ago
200454 –260590 USD / yearUSASeniorRemotec++pythonpose estimationsensor calibrationmapping
Develop and implement real-time pose estimation algorithms and large-scale mapping solutions to enhance transit and street safety systems.
About the company
- 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
Requirements
- 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.