Software Development Engineer, Test

The Automotive Vehicles team is searching for a creative and experienced Software Engineer to help us bring autonomous vehicle solution out to the world. You will participate in a focused effort to develop and productize ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our AV SW platform, while achieving or exceeding all meaningful and automotive standards & guidelines.

Job Duties

• Design, develop, and maintain software and data infrastructure that supports large-scale, high-fidelity simulation of autonomous driving systems.
• Collaborate across engineering, data science, test engineering, and release to build and scale test solutions that address gaps in coverage and frameworks and mitigate risks to the project.
• Build, improve and maintain tools that automate the testing and data analytics process, enabling a culture of test-driven development across the company.
• Create/Lead and maintain dashboards, reports, and data visualization tools that allow others to understand software performance.
• Mentor and guide junior engineers, promoting a culture of technical excellence and collaborative problem solving.
• Identify, troubleshoot, and resolve system-level issues that affect the performance and reliability of our simulation infrastructure.
• Build simulation test cases from these.
  
  

Qualifications

• BS (or equivalent experience), MS, or PhD in Engineering or Science field.
• 2+ years of software engineering and/or data analysis experience, preferably in the field of simulation, autonomous systems, robotics, artificial intelligence or related areas.
• Proficiency in Python, SQL, C++ or similar high-level programming languages.
• Strong understanding of software testing methodologies and test-driven development.
• Excellent problem-solving, analytical skills, and technical troubleshooting skills.
• Strong communication and collaboration skills.
• Demonstrated ability to perform in situations with high ambiguity and competing priorities.
• Curiosity and a desire to “get into the weeds” of a problem.
  
  

Preferred

• Experience with scaling the use of autonomous vehicles simulation frameworks.
• Experience with or knowledge of AI/ML systems, or a background in working with AI-native systems.
• Experience in large-scale simulation for hardware or software validation of any robotics solution