Software Engineer, Perception

Job summary

LOCATION San Francisco HQ Office EMPLOYMENT TYPE Full time LOCATION TYPE Hybrid DEPARTMENT Research & DevelopmentPerception DEADLINE TO APPLY July 4, 2026 at 7:00 AM UTC COMPENSATION - $161,637 – $175,000 ABOUT US At Hay***, 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.

Benefits

Qualifications

• Master of Science degree or the foreign equivalent in Electrical
• Engineering, Computer Science, or a related field of study.
• EXPERIENCE
• 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.
• OTHER SPECIAL
• Two (2) years of experience with all of the following: software engineering experience in the automotive industry; programming in Python; one of the following algorithm and data analysis

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.
• DEGREE

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