Senior Software Engineer - Machine Learning & AI; ADAS

Role Summary

The Senior Software Engineer – Machine Learning & AI plays a critical role in advancing Subaru’s artificial intelligence and machine learning capabilities, with a strong focus on ADAS, automated driving, and vehicle safety systems.

This role is designed for a seasoned software engineer with deep machine learning expertise who can operate with minimal supervision, own complex technical initiatives, and influence both technical direction and delivery. The position balances hands-on development of ML solutions with technical leadership, system design, and cross-functional collaboration.

The engineer will work closely with multidisciplinary teams across Subaru of America (SOA) and Subaru Corporation (S ) in Japan, contributing to global vehicle programs and serving as a technical liaison on machine learning–driven initiatives.

Approximate work allocation:

• 50–60% hands-on ML and software development
• 40–50% technical leadership, project oversight, and collaboration

• Design, develop, train, evaluate, and optimize machine learning models to support ADAS and automated driving capabilities.
• Apply ML techniques such as computer vision, supervised/unsupervised learning, and model evaluation to real-world vehicle data.
• Analyze sensor, vehicle dynamics, and environmental data to improve model performance and reliability.
• Support data annotation strategies and model validation efforts.

• Develop high-quality, scalable, and maintainable software solutions, primarily using Python, aligned with Subaru engineering standards.
• Integrate ML models into vehicle systems, including sensors, cameras, and embedded platforms.
• Perform code reviews, contribute to architecture discussions, and uphold software best practices.

• Collaborate with mechanical, electrical, and systems engineers to ensure seamless integration of ML solutions into vehicle platforms.
• Develop and execute test plans to validate ML software performance, safety, and reliability.
• Support evaluation and testing of advanced driver assist systems (ADAS).

• Provide guidance and mentorship to junior engineers and interns, including reviewing technical work and offering feedback.
• Support managers and lead engineers by contributing to technical presentations, program updates, and product demonstrations for SOA and S  leadership.
• Serve as a key technical point of contact for ML-focused initiatives with Subaru Corporation (Japan).

• Stay current with industry trends, emerging ML technologies, and best practices in AI and automotive software engineering.
• Share knowledge and insights with the broader engineering team to elevate overall technical capability.

• Strong proficiency in Python for ML and software development.
• Hands‑on experience developing and deploying machine learning models.
• Experience with computer vision and ML applied to real-world data.
• Experience with data annotation, model training, testing, and evaluation.
• Knowledge of ADAS development, testing, and evaluation.
• Experience working in Windows and Linux (Ubuntu) environments.
• Proficiency with VSCode or similar development tools.
• Familiarity with CAN protocol and vehicle data tools (e.g., Vector CANalyzer).
• Strong analytical, problem‑solving, and conceptual thinking skills.
• Excellent written, verbal, and presentation communication skills.
• Proficient in Microsoft Office (Word, Excel, PowerPoint).
• Valid driver’s license (required for vehicle testing activities).

• Experience with automotive development cycles.
• Exposure to CAD tools (Solid Works, Fusion
  360) and rapid prototyping (3D printing).
• Any level of Japanese language proficiency.
• Prior experience collaborating with global engineering teams.

• Bachelor’s degree in Computer Science, Software Engineering, Electrical Engineering, Mechanical Engineering, or related field OR equivalent combination of education and experience.
• 4–6+ years of relevant professional experience in software engineering with a strong emphasis on machine…