Sr. 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

Taking ownership with minimal instructions and leveraging industry knowledge and technical expertise, the Senior 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 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 and recommend target performance goals for future products. 
The role also involves collaborating with and influencing Japanese engineering teams. The level of interaction with Subaru 
Corporation (SBR) in Japan is expected to be higher than that of Software Engineers.
The Senior Software Engineer reviews the work of Software Engineers and interns. The role also leads some mid-impact projects 
as a contact person, including communication with vendors.
Approximately, core duties will involve 30% programming and 70% 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.
• Supports managers and Lead Software Engineers in creating presentation materials of progress updates for upper level 
  management and facilitates product demonstrations for Subaru Corporation (SBR) and Subaru of America (SOA) 
  executives.
• Supports the day-to-day tasks of engineers and interns of lower-level seniority. Gives preliminary reviews of technical 
  reports, software codes, and other technical work submitted by engineers of lower-level seniority.

ADDITIONAL RESPONSIBILITIES

• 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. 
• Staying Up to Date with Industry Trends: Stays current with industry trends, new technologies, and best practices in AI and software engineering. Shares information with team members to help others in their learning.
   

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 with Controller Area Network (CAN) protocol (Vector CANalyzer).
• Proficient in Computer-Aided Design (CAD) software (Solidworks, Fusion360).
• Experience with 3D printing (fu