Staff Software Engineer

• Spearhead the architectural design, implementation, and long-term ownership of next-generation perception systems, ensuring seamless transition from research prototypes to robust, scalable production solutions.
• Champion best practices in software development, delivering high-performance, meticulously tested, and maintainable C++ code optimized for heterogeneous edge and robotics computing platforms.
• Architect and optimize high-throughput, real-time perception pipelines, setting the technical direction for advanced techniques in object detection, tracking, and sophisticated sensor fusion.
• Drive the strategic selection, adaptation, and integration of state-of-the-art Machine Learning (ML) and Computer Vision (CV) models, including the development of novel, proprietary models tailored to complex, large-scale Hayden-specific problems.

This role directly contributes to transforming transit systems and government agencies' ability to address real-world challenges, accelerating transit, enhancing street safety, and driving toward a sustainable future through innovative computer vision technology.

• Advanced degree (MS or PhD) in Computer Science, Electrical Engineering, Robotics, or a related field.
• 10+ years of relevant experience in building and deploying perception systems; experience in automotive or robotics domains is a plus.
• Deep expertise in one or more of: robotics, state estimation, computer vision, or applied machine learning.
• Expert-level proficiency in modern C++, including experience with real-time and/or embedded systems.

Compensation and benefits not specified in the job posting.

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 enforcement to transportation optimization.