ADAS Software Validation Engineer

Join Sony Honda Mobility of America Inc.

Sony Honda Mobility of America Inc. is a proud subsidiary of Sony Honda Mobility Inc., a 50/50 joint venture between Sony and Honda, headquartered in Tokyo, Japan. Our American headquarters in Culver City, California, established in March 2023, is at the forefront of bringing the innovative electric vehicle, AFEELA, to the US market. AFEELA embodies the essence of "FEEL," creating an interactive relationship where people and mobility connect through advanced sensing and network technologies.

At Sony Honda Mobility of America, we are dedicated to moving people through innovative solutions inspired by diversity. Join us in shaping the future of mobility with creativity, technology, and a commitment to excellence. Apply now to make a difference!

Sony Honda Mobility of America (SHMA) is seeking an ADAS Software Validation Engineer to strengthen our Autonomous Systems team. In this engineering‑driven role, you will validate and troubleshoot advanced driver‑assistants systems (ADAS) features on SHMA’s software‑defined vehicle platform.

Your mission is to transform raw telemetry into actionable defect reports, accelerating bug‑fix cycles and ensuring a premium customer experience. You will triage complex field issues, reproduce them in lab and vehicle environments, and collaborate with cross‑functional and global teams to support timely resolutions.

This role is ideal for a technically strong engineer who thrives on debugging, validation, and working across embedded systems, automotive software, and in‑vehicle networks.

• Write and debug embedded software for ADAS functions in real‑time environments.
• Conduct and support in‑vehicle and bench testing, validation, and data collection.
• Triage complex field issues by analyzing logs, isolating fault domains, and reproducing issues on benches or vehicles.
• Analyze sensor and system data logs; perform root cause analysis and recommend improvements.
• Develop tools and dashboards to streamline log analysis, telemetry review, and trend detection.
• Contribute to system architecture discussions and requirements documentation.
• Collaborate with validation engineers, system architects, and global development teams to ensure high‑quality ADAS validation.
• Document clear and actionable defect reports in Jira to accelerate bug‑fix cycles.
• Ensure testing activities align with SHMA safety, compliance, and quality standards.

• Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
• 4+ years of experience in development and/or validation within the automotive industry.
• 3+ years of software development and/or validation experience on Linux platforms and/or embedded systems.
• Hands‑on experience with autonomous driving (AD) or ADAS technologies.
• Familiarity with sensors such as cameras, radar, and lidar.
• Proficiency with tools such as Jira, Confluence, and defect tracking workflows.
• Ability to work on‑site in the San Francisco Bay Area at least 4 days a week.

• Familiarity with CI/CD pipelines and automated testing frameworks.
• Exposure to ADAS or autonomous vehicle validation environments.
• Experience with AWS, Open Telemetry, or log aggregation pipelines.
• Knowledge of Robot Operating System (ROS) for software development.
• Background managing or contributing to large‑scale systems development.
• Ability to communicate in both English and Japanese.
• Work Arrangement:
  Primarily on‑site in San Francisco Bay Area, CA.
• Travel Requirements:
  Occasional domestic and international travel may be required for validation or global collaboration.
• Visa Sponsorship:
  Not available for this position

The anticipated annual base salary for this position is $150,000–$170,000. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses…