Software Engineer

About Subaru

LOVE. It’s what makes Subaru, Subaru®. As a leading auto brand in the US, we strive to be More Than a Car Company®. Subaru believes in being a positive force in the communities in which we live and work, not just with donations but with actions that set an example for others to follow. That’s what we call our Subaru Love Promise®.

Subaru is a globally renowned automobile manufacturer known for its commitment to innovation, safety, and sustainability. With a rich history dating back to 1953, Subaru has consistently pushed the boundaries of automotive engineering to deliver vehicles that offer not only exceptional performance but also a unique blend of utility and adventure.

Subaru's company culture is built on collaboration, diversity, and a shared passion for our product. We foster an inclusive environment that encourages employees to bring their unique perspectives and talents to the table. Our team members are driven by a common goal: to create exceptional vehicles that inspire and delight our customers.

ROLE SUMMARY

Under the guidance of managers and senior engineers, the Software Engineer performs the following tasks accurately and in a 
timely manner: 
-Develops, researches, designs, implements, tests, and evaluates artificial intelligence (AI) algorithms and machine learning 
models to enhance vehicle safety features and automated driving capabilities. 
-Analyzes software requirements to determine, in collaboration with other engineers, the feasibility of designs within time and cost 
constraints, considering industry standards and regulatory compliance. 
-Collaborates with other engineering teams to evaluate interfacing, operational, and performance requirements of AI-driven 
systems. 
-Formulates and designs AI-powered software systems using scientific analysis and mathematical models to predict outcomes 
and optimize system performance. 
-Creates documentation to ensure reliability and accuracy. 
-Analyzes data from various sources, including sensor inputs, vehicle dynamics, and environmental factors, to refine AI model 
performance. 
Approximately, core duties will involve 70% programming and 30% project oversight.

MAJOR RESPONSIBILITIES

• Artificial Intelligence (AI): Designs, develops, tests, and maintains AI software applications that integrate with Subaru's 
  existing systems.
• Software Engineering: Develops high-quality, efficient, and scalable software solutions using various programming 
  languages and frameworks.
• Machine Learning Model Development: Develops and trains machine learning models using various algorithms and 
  techniques to improve Subaru's autonomous driving capabilities.
• Integration with Subaru Systems: Integrates AI-powered software applications with existing Subaru systems, including 
  sensors, cameras, and other technologies.
• Quality Assurance & Testing: Develops and executes test plans to validate AI software functionality, performance, and 
  reliability in various testing scenarios.
• Code Review and Pair Programming: Reviews code written by team members and participates in pair programming to 
  ensure high-quality coding standards and best practices.
• AI Model Deployment: Works with engineers from various disciplines (e.g., mechanical, electrical) to ensure successful 
  deployment of AI models into production vehicles.
• Collaboration with Cross-Functional Teams: Collaborates with engineers from various disciplines (e.g., mechanical, 
  electrical) to ensure successful integration of software solutions and meet Subaru's quality standards.

ADDITIONAL RESPONSIBILITIES

• Maintaining Technical Documentation: Updates and maintains technical documentation, including code comments, 
  design documents, and user manuals.
• Troubleshooting & Debugging: Troubleshoots and debugs software issues, collaborating with team members to resolve 
  problems efficiently.
• Staying Up to Date with Industry Trends: Stays current with industry trends, new technologies, and best practices in AI 
  and software engineering.
• Providing Technical Support: Provides technical support to colleagues as needed, including answering questions, 
  providing guidance, and offering suggestions for improvement.
   

REQUIRED SKILLS & PERSONAL QUALIFICATIONS

• Proficient in Windows and Linux (Ubuntu). Proficient in VSCode. 
• Proficient in Python. 
• Experience with machine learning. 
• Experience with computer vision. 
• Experience with data annotation. 
• Experience