Autonomous Vehicle Test Engineer

Sustainable Talent

United States

Remote

USD 96,432 - 110,208

Full time

14 days+

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Benefits offered by this job

Full benefits
PTO
Great company culture

Job summary

A recruitment agency is seeking a Test Engineer to support an Automotive Vehicles team in a remote capacity. The role involves creating test strategies, collaborating with engineering teams, and contributing to autonomous driving solutions. Ideal candidates should have a BS or MS in relevant fields and 2+ years of experience in system testing. Competitive pay is offered, ranging from $70/hr to $80/hr, along with comprehensive benefits.

Qualifications

  • 2+ years of experience in system testing, automation, and root-cause analysis.
  • Experience in contexts as complex as autonomous driving.
  • Substantial experience in software-driven environments.

Responsibilities

  • Create test strategies and test plans for new features.
  • Identify gaps in tools and request new features.
  • Triage, prioritize, and propose resolutions to testing problems.
  • Maintain dashboards to communicate software performance.
  • Collaborate with engineering and data science teams.

Skills

Python
C++
SQL
Test strategy development
Root-cause analysis

Education

BS or MS in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science or related field

Job description

Base pay range

$70.00/hr - $80.00/hr

Sustainable Talent is partnering with Nvidia, a global leader 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 based in Santa Clara, CA. We offer competitive pay of $70/hr - $80/hr based on factors like experience, education, location, etc., and provide full benefits, PTO, and a great company culture.

The Automotive Vehicles team is seeking a creative Test Engineer to help bring NVIDIA's autonomous vehicle solution to the world. You will scale and expand testing frameworks to productize solutions in the field of autonomous driving, working with multi-functional engineering teams across vehicle subsystems to integrate their work into our AV software platform while meeting NVIDIA and automotive standards and guidelines.

The work is exciting, with deadlines, customers, and competition.

What you will be doing
  • Create test strategies and test plans for new features and develop robust simulation tests.
  • Identify gaps in tools and request new features to improve tool quality and user experience.
  • Triage, prioritize, and propose resolutions to problems in simulated or on-road testing environments.
  • Identify test coverage gaps and work on expanding and maintaining tests.
  • Root-cause analysis to identify issues that commonly affect builds and collaborate with engineering to implement protections.
  • Provide insights from analysis to improve the quality of new features.
  • Create and maintain dashboards to communicate software performance.
  • Collaborate with engineering, data science, and release teams 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.
What we need to see
  • BS or MS in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or related field (or equivalent experience).
  • 2+ years of experience in system testing, automation, and root-cause analysis in contexts as complex as 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 scaling autonomous vehicle testing frameworks.
  • Experience with start-ups and/or in gaming industry.

Sustainable Talent is an equal employment opportunity and affirmative action employer for all qualified applicants, including women, people with disabilities, and veterans.

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