Autonomous Vehicle Operator – Autonomous Vehicle Test Engineer

Autonomous Vehicle Operator – Autonomous Vehicle Test Engineer

Location: Remote, United StatesEmployment Type: Contract / TemporaryWork Location: US, CA, Remote

Sustainable Talent is partnering with NVIDIA, a global leader that has been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for an Autonomous Vehicle Operator – Autonomous Vehicle Test Engineer to support our client’s autonomous vehicle testing team. This role is remote and will focus on test creation, quality analysis, and issue investigation for autonomous vehicle software systems. This is a W-2 full-time REMOTE contract role. We offer competitive pay $70/hr-$97/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!

We are seeking a highly technical and detail-oriented professional who is passionate about autonomous vehicle technology and excited to work at the intersection of software, hardware, and vehicle testing. In this role, you will analyze issues reported from vehicle testing, create and manage test suites, support testing infrastructure, and help improve the quality and accuracy of autonomous vehicle software.

What You’ll Be Doing

As a member of the Autonomous Vehicle Test team, you will support end-to-end problem analysis for issues identified during daily vehicle testing. You will work closely with software and hardware engineering teams across multiple disciplines to help deliver a high-quality autonomous driving product.

Responsibilities include:

• Analyze issues reported from routine autonomous vehicle testing.

• Execute problem analysis processes, including issue triage, root cause analysis, issue categorization, reporting, and summary documentation.

• Create test suites, manage test configurations, and support infrastructure for running tests.

• Analyze test accuracy and investigate root causes of errors that lead to inaccurate test results.

• Communicate with development teams to understand functional design and stay current on evolving technologies.

• Develop documentation and tools to support issue analysis.

• Collect test data from routine in-car testing and provide feedback on software performance after testing and analysis.

• Collaborate with automotive software testing, software engineering, and hardware engineering teams to improve product quality.

What We Need to See

• Technical education or background in Electrical Engineering, Automotive Engineering, Computer Science, Software Engineering, or a related field.

• Experience and proficiency with Python.

• Experience in test engineering within a robotics or automotive environment.

• Strong analytical and problem-solving skills.

• Ability to perform issue triage, root cause analysis, and technical documentation.

• Self-motivated mindset with a willingness to learn new technologies and adapt in a fast-moving environment.

• Strong communication skills and the ability to collaborate with cross-functional engineering teams.

• Passion for autonomous vehicle technology and software quality.

Ways to Stand Out from the Crowd

• Experience in software testing or software development for autonomous vehicles or autonomous driving systems.

• Experience creating test suites or managing test infrastructure.

• Familiarity with vehicle data analysis, robotics testing, or automotive software validation.

• Ability to work across both software and hardware teams in a technical testing environment.

About Sustainable Talent

Sustainable Talent is a certified woman-owned company specializing in recruitment, consulting, and workforce solutions. We partner with innovative organizations to connect exceptional talent with meaningful opportunities across technology, engineering, operations, and professional services.

Equal Opportunity Statement

Sustainable Talent is proud to be an equal opportunity employer. We are committed to building a diverse and inclusive workforce and welcome applicants from all backgrounds, experiences, and perspectives.