Full-Time Jobs

Location : Santa Clara, CA

Job Type : Contract to Hire

Duration : 12 months

Work From : Onsite

Interview : Over the Phone/Video

Top Skills & Years Of EXperience:

Required Skills with Experience:

• 3+ 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.
• BS, or MS in Engineering or Science field.

Description:

Job Description:  

Candidate 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. You'll find the work is exciting, fun, and relevant. We have deadlines, customers, and competition. We are at the forefront of technology, transforming the future of transportation through our commitment to developing self-driving vehicles. As a software engineer, your primary role will be to build robust and scalable simulation infrastructure that will enable us to test and validate our self-driving technology over millions of virtual miles. 

 

Roles & Responsibilities:

• 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.