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:

Hayden is seeking a Staff-Level Perception generalist to drive the full life cycle of our perception algorithms. In this pivotal role, you will contribute across all phases of the perception stack -- from early prototyping and validation to production deployment and real-world performance monitoring. You’ll work closely with cross-functional teams to support pilot programs critical to our market exploration, both locally and internationally. As part of a fast-paced startup entering a scale-up phase, you’ll play a foundational role in building reliable, scalable, and high-impact perception systems.

Responsibilities:   

• Software Engineering: Lead the development of robust, production-grade C++ perception modules. Deliver well-tested, high-performance code that is maintainable and scalable.
  

• Pilot Program Support: Develop deep familiarity with all perception submodules. Coordinate work across perception teams to deliver customized solutions for pilot programs and international launches.
  

• Cross-Functional Collaboration: Partner with front-end, back-end, embedded systems, and product teams to ensure seamless integration and monitoring of the perception stack in production environments.
  

• Technical Leadership: Act as a hands-on tech lead, providing architectural guidance, conducting code and design reviews, and mentoring both senior and junior engineers. Foster a culture of technical excellence and collaboration within the team.

Required Qualifications:

• Master’s degree in Robotics, Machine Learning, Computer Science, Electrical Engineering, or a related field, or equivalent practical experience.

• 10+ years of relevant experience with a proven track record in building and deploying real-world perception systems using a combination of Computer Vision, Machine Learning, and Robotics techniques. Experience in automotive or robotics domains is preferred.

• Proficiency in C++ and Python, with the ability to write performant, reliable, and maintainable software in production environments.

• Demonstrated skill in debugging and analyzing complex perception stacks across simulation, development, and real-world deployments.

• Expertise in at least one of the following areas, with familiarity in others:

  • Machine Learning & Deep Learning

  • Computer Vision (e.g., feature detection, tracking, geometric methods)

  • Robotics (e.g., SLAM, state estimation, Kalman Filters, Particle Filters)

• Excellent verbal and written communication abilities. Able to explain complex technical concepts clearly to both engineers and non-engineers.

Preferred Qualifications:

• Past experience in providing technical direction, conducting code/design reviews, and mentoring junior and mid to senior engineers is a plus.

• A strong academic track record in relevant fields (e.g., robotics, computer vision, machine learning) is a plus.