Senior Software Engineer - Machine Learning & AI; ADAS

Position: Senior Software Engineer - Machine Learning & AI (ADAS)
Location: Belleville

Senior Software Engineer - Machine Learning & AI (ADAS)

Apply for the Senior Software Engineer - Machine Learning & AI (ADAS) role at Subaru of America
.

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 is a seasoned, independently working position balancing hands‑on ML development with technical leadership and cross‑functional collaboration.

Approximate Work Allocation

• 50-60% hands‑on machine learning and software development.
• 40-50% technical leadership, project oversight, and collaboration.

Core Responsibilities Machine Learning & Artificial Intelligence

• Design, develop, train, evaluate, and optimize ML models to support ADAS and automated driving.
• Apply computer‑vision and other ML techniques to real‑world vehicle data.
• Analyze sensor, vehicle dynamics, and environmental data to improve model performance.
• Support data annotation strategies and model validation.

Software Engineering

• Develop high‑quality, scalable, and maintainable software solutions (Python) per Subaru engineering standards.
• Integrate ML models into vehicle systems, sensors, cameras, and embedded platforms.
• Perform code reviews, participate in architecture discussions, and uphold best practices.

System Integration & Testing

• Collaborate with mechanical, electrical, and systems engineers for seamless integration.
• Develop and execute test plans validating ML software performance, safety, and reliability.
• Support evaluation and testing of advanced driver‑assist systems (ADAS).

Technical Partnership & Collaboration

• Mentor junior engineers and interns; review technical work.
• Support managers and lead engineers; contribute to presentations, program updates, deliver demos to SOA and S  leadership.
• Serve as key technical point of contact for ML initiatives with Subaru Corporation (Japan).

Continuous Improvement

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

Required Skills & Personal Qualifications

• Strong proficiency in Python for ML and software development.
• Hands‑on experience developing and deploying ML 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 in Windows and Linux (Ubuntu) environments.
• Proficiency with VSCode or similar 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).

Preferred Qualifications

• 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.

Education & Experience

• 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 learning (Master’s degree may offset required years of experience).

Work Environment

• Hybrid role: onsite 3 days per week / remote up to 2 days per week (after 90 days).
• Prolonged sitting and computer use.
• Occasional lifting of equipment up to 20 lbs.
• Travel:
  Approximately 20%.

Compensation

The recruiting base salary range for this full‑time position is $72,000 – $120,000 per year, depending on skills, experience, and qualifications.

Benefits

• Medical, Dental, and Vision coverage.
• Pension, Profit Sharing, and 401(k) match.
• Paid time off, company holidays, floating holidays, and sick time.
• Tuition Reimbursement Program.
• Vehicle Discount Programs.

Visit our Careers site to learn more about Subaru's total rewards and benefits.

About Subaru

Subaru is a globally renowned automobile manufacturer, committed to innovation, safety, and sustainability. We thrive on collaboration, diversity, and passion for our product.

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