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 (SBR) 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

Core Responsibilities

Machine Learning & Artificial Intelligence


* 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.

Software Engineering


* 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.

System Integration & Testing


* 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).

Technical Partnership & Collaboration


* 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 SBR leadership.


* Serve as a key technical point of contact for ML-focused initiatives with Subaru Corporation (Japan).

Continuous Improvement


* 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.

Required Skills & Personal Qualifications


* Str...