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:
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:
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
Required Qualifications:
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.
5+ years of experience (3+ with M.S degree, 2+ with Ph.D.) in the position offered, as a software engineer, software engineer intern, or a related state estimation engineer role.
5+ years of experience (3+ with M.S degree, 2+ 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.