
Autonomous Vehicle Test Engineer
Sustainable Talent · United States
- Hybrid
- Contract
- $100,000 / year
- United States
Job highlights
- Analyze autonomous vehicle test issues.
- Create and manage test suites and infrastructure.
- Perform root cause analysis on errors.
- Collaborate with engineering teams.
- Improve autonomous vehicle software quality.
About the role
About the Role
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. 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:
- 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.
Key skills/competency
- Autonomous Vehicle Test Engineer
- Python
- Test Engineering
- Robotics
- Automotive Engineering
- Software Testing
- Quality Analysis
- Root Cause Analysis
- Test Suites
- Issue Triage
Skills & topics
- Autonomous Vehicle Test Engineer
- Python
- Test Engineering
- Robotics
- Automotive Engineering
- Software Testing
- Quality Analysis
- Root Cause Analysis
- Test Suites
- Issue Triage
- NVIDIA
- Sustainable Talent
- Remote
How to get hired
- Tailor your resume: Highlight Python, test engineering, and autonomous vehicle experience.
- Showcase technical skills: Emphasize your background in Electrical, Automotive, Computer, or Software Engineering.
- Demonstrate problem-solving: Detail your experience with issue triage and root cause analysis.
- Express passion: Clearly articulate your interest in autonomous vehicle technology and software quality.
- Highlight collaboration: Mention experience working with cross-functional engineering teams.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Autonomous Vehicle Test Engineer role at Sustainable Talent supporting NVIDIA?
- The primary focus is on test creation, quality analysis, and issue investigation for autonomous vehicle software systems, supporting NVIDIA's autonomous vehicle testing team.
- Is this an on-site or remote position?
- This is a remote position based in the United States, offering flexibility for candidates not looking to relocate.
- What technical background is preferred for this Autonomous Vehicle Test Engineer role?
- A technical education or background in Electrical Engineering, Automotive Engineering, Computer Science, Software Engineering, or a related field is preferred.
- What programming skills are essential for this role?
- Proficiency in Python is a key requirement for this position, essential for test creation and analysis.
- What kind of experience is beneficial for an Autonomous Vehicle Test Engineer candidate?
- Experience in test engineering within a robotics or automotive environment, particularly with software testing for autonomous vehicles, is highly beneficial.
- How does Sustainable Talent support its clients like NVIDIA?
- Sustainable Talent partners with innovative organizations like NVIDIA to connect exceptional talent with meaningful opportunities through recruitment and workforce solutions.
- What are the key responsibilities for an Autonomous Vehicle Test Engineer at NVIDIA?
- Key responsibilities include analyzing test issues, executing problem analysis (triage, root cause analysis), creating test suites, and collaborating with engineering teams to enhance product quality.
- Does Sustainable Talent require specific software development experience for this role?
- While not strictly required, experience in software testing or development for autonomous vehicles is a strong plus that can make a candidate stand out.