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# Software Engineer, Perception

- **Company:** Hayden Ai Technologies Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $161,637.0 - $175,000.0
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Clean Code Principles, Algorithm Design, Data Analysis, Computer Vision, Python (Programming Language), Machine Learning, NumPy, OpenCV, Operational Databases, Cloud Services, SciPy, Software Deployment, Software Engineering, Backend, Pandas, Information Technology, Production Code, Data Analytics, Software Version Control
- **Published:** June 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b2289ab550877bc1

## About the Role

Do you have experience in Version control systems?, Do you have a Master of Science?, 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 all of the following: software engineering experience in the automotive industry; programming in Python; one of the following algorithm and data analysis tools: OpenCV, NumPy, SciPy, or Pandas; conducting root cause analysis and propose innovative, data-driven solutions; developing industrial-grade software and writing production-quality code, with a focus on backend or full-stack systems; and software engineering principles, including version control, testing, and deployment best practices.

## Description

POSITION DUTIES: 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.


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