Software Engineer, Perception

Hayden AI • San Francisco, CA

5d • $161,637 - $175,000 • Onsite

About The Position

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.

Requirements

• Master of Science degree or the foreign equivalent in Electrical Engineering, Computer Science, or a related field of study.
• Two (2) years of experience in the position offered, as a Software Engineer, Software Engineering Intern, Research Assistant, Undergraduate Researcher or a related software engineer role.
• Two (2) years of experience with software engineering experience in the automotive industry.
• Two (2) years of experience programming in Python.
• Two (2) years of experience with one of the following algorithm and data analysis tools: OpenCV, NumPy, SciPy, or Pandas.
• Two (2) years of experience conducting root cause analysis and propose innovative, data-driven solutions.
• Two (2) years of experience developing industrial-grade software and writing production-quality code, with a focus on backend or full-stack systems.
• Two (2) years of experience with software engineering principles, including version control, testing, and deployment best practices.

Responsibilities

• Exhibit proficiency in software development, consistently delivering clean, efficient, and maintainable code.
• Contribute across all stages of Hayden’s Computer Vision (CV) and Machine Learning (ML) algorithm pipelines—from initial prototyping to production refinement—ensuring robustness, efficiency, and accuracy.
• Lead and execute comprehensive software testing efforts focused on CV/ML algorithms, spanning prototype validation, performance assessment, integration, and deployment readiness.
• Perform thorough root cause analysis on algorithm- related failures, identify trends in field behavior, and provide strategic recommendations to guide design and process improvements.
• Design, implement, and deploy cloud-based software pipelines for monitoring algorithm and device health across staging and production environments; proactively identify systemic issues and drive resolution.
• Build and maintain cloud services to support the deployment of post-processing AI algorithms that enhance overall system accuracy, as well as internal tooling to aid algorithm development and performance analysis.
• Collaborate closely with device software, cloud, and algorithm teams to prototype and implement software changes that improve algorithm performance based on production data insights.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level