Sustainable Talent
Overview
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 contract based in Santa Clara, CA with Remote and Hybrid work options. We offer competitive pay
$70/hr - $80/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 Test Engineer to help us bring NVIDIA\'s autonomous vehicle solution out to the world. 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. You\'ll find the work is exciting, fun, and relevant. We have deadlines, customers, and competition.
Responsibilities
Create test strategies and test plans for new features and work on creating robust simulation tests. Identify gaps in tools and request new features to improve the tool quality and user experience. Quickly triage, prioritize, and propose resolutions to problems in simulated or on-road testing environments. Identify test coverage gaps and work on expanding the coverage and maintaining the tests. Root cause areas that most commonly break our builds and work with engineering teams to ensure protection moving forward. Provide concrete insights from analysis to improve the quality of new features. Create and maintain dashboards that allow others to understand software performance. Collaborate with engineering, data science, and release to monitor and enforce robust criteria for measuring and gating releases. Represent test tooling and infrastructure needs to prioritize and test early deliveries of new tools.
Qualifications
BS or MS in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or another related field (or equivalent experience). 2+ years of experience in system test, automation and root-cause analysis in fields similar in complexity to autonomous driving. Substantial experience with Python/C++ and SQL in a software-driven environment. Strong interpersonal skills, with the ability to drive alignment across large organizations.
Ways to stand out
Experience with scaling the use of autonomous vehicles testing frameworks. Experience with start-ups and/or in gaming industry.
Sustainable Talent is an equal employment opportunity and affirmative action employer.
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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 contract based in Santa Clara, CA with Remote and Hybrid work options. We offer competitive pay
$70/hr - $80/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 Test Engineer to help us bring NVIDIA\'s autonomous vehicle solution out to the world. 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. You\'ll find the work is exciting, fun, and relevant. We have deadlines, customers, and competition.
Responsibilities
Create test strategies and test plans for new features and work on creating robust simulation tests. Identify gaps in tools and request new features to improve the tool quality and user experience. Quickly triage, prioritize, and propose resolutions to problems in simulated or on-road testing environments. Identify test coverage gaps and work on expanding the coverage and maintaining the tests. Root cause areas that most commonly break our builds and work with engineering teams to ensure protection moving forward. Provide concrete insights from analysis to improve the quality of new features. Create and maintain dashboards that allow others to understand software performance. Collaborate with engineering, data science, and release to monitor and enforce robust criteria for measuring and gating releases. Represent test tooling and infrastructure needs to prioritize and test early deliveries of new tools.
Qualifications
BS or MS in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or another related field (or equivalent experience). 2+ years of experience in system test, automation and root-cause analysis in fields similar in complexity to autonomous driving. Substantial experience with Python/C++ and SQL in a software-driven environment. Strong interpersonal skills, with the ability to drive alignment across large organizations.
Ways to stand out
Experience with scaling the use of autonomous vehicles testing frameworks. Experience with start-ups and/or in gaming industry.
Sustainable Talent is an equal employment opportunity and affirmative action employer.
#J-18808-Ljbffr