Test Engineer - Autonomous Vehicles REMOTE

Sustainable Talent•Austin, TX

11h•$60 - $85•Remote

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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