Job Description
Sustainable Talent is partnering with Nvidia a global leader who’s been transforming computer graphics, PC gaming, and accelerated computing for over 25 years. We are looking for a Test Engineer to support our client’s Automotive Vehicles team. This is a W-2 full-time REMOTE contract role. We offer competitive pay $60/hr - $85/hr based on factors like experience, education, location, etc. and provide full benefits, PTO, and amazing company culture!
This role focuses on system-level testing, simulation triage, and technical debugging within a complex autonomous vehicle environment. You will participate in a focused effort to scale and expand the testing frameworks that will help productize ground-breaking solutions redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering teams across various vehicle subsystems to integrate their work into our AV SW platform, while achieving or exceeding all meaningful NVIDIA and automotive standards & guidelines.
What You’ll Be Doing
- Investigate and triage failures in simulation and vehicle system testing environments
- Perform system-level QA and validation testing across complex software and hardware systems
- Debug issues using logs, telemetry, and system data to identify root causes of failures
- Analyze system behavior and performance to determine whether outcomes meet expected validation criteria
- Build small automation tools or Python scripts to improve testing workflows and efficiency
- Contribute to the development and maintenance of testing frameworks, dashboards, and internal tooling
- Identify testing coverage gaps and help improve overall test infrastructure
- Collaborate with engineering teams to troubleshoot issues and drive root cause resolution
- Document findings, test results, and issue tracking through Jira or similar systems
What We Need to See
- 3+ years of experience in systems testing, QA, or validation within complex software AV environments
- Hands-on experience with Python scripting or automation to support testing or debugging workflows
- Experience debugging system behavior using logs, telemetry, or similar data sources
- Familiarity with test frameworks, simulation environments, or system-level testing tools
- Strong problem-solving and root cause analysis skills
- Experience using issue tracking tools such as Jira to document and manage testing work
Ways to Stand Out
- Experience in autonomous vehicles, robotics, or simulation platforms
- Experience improving workflows through automation or internal tooling
- Exposure to sensor systems (LiDAR, cameras, radar)
- Experience with C++ or systems-level debugging
Sustainable Talent is a M/F+, disabled, and veteran equal employment opportunity and affirmative action employer.
