Data Scientist

Sustainable Talent is searching for a Data Scientist to support our client’s Autonomous Vehicle team. This role will be supporting our client NVIDIA.

This is a W-2 full-time contract based in Santa Clara, CA with remote work options. We offer competitive pay $75-$110/hr+ based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

The Automotive Vehicles team is searching for a creative and experienced Software Engineer to help bring NVIDIA’s 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. 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.

What you will be doing:

• 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. 

What we need to see:

• 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 Qualifications:

• Ability to perform thorough analysis using ML techniques, quantifying qualities into actionable metrics, and leveraging data-driven insights.
• Proficiency in building data pipelines and understanding key performance indicators (KPIs) is crucial for success in this role.
• Experience in providing a data-driven approach through the development of dashboards, visualization tools, and reports is highly valued.
• Background or experience in Data Science and ML Ops, as well as Data Engineering, is highly desirable for this position. 

Ways to stand out from the crowd:

• 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.

Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.