QA Analyst/Tester

Test Engineer - Urban Autonomous Vehicles

Candidate possesses experience with testing and validating automotive systems, creating test plans, executing test cases, excellent communication skills, problem-solving, a valid driver’s license, and on-site availability.
 

Job Description:
If you're passionate about autonomous vehicles, we would love to hear from you! The Advanced Urban Autonomous Vehicles team is searching for an experienced test technician / engineer to support our new autonomous driving features development. We are the leading artificial intelligence computing company and are paving the way with innovations in gaming, visualization, supercomputing and self-driving cars. As a key member of our Autonomous Vehicles team, you will be supporting the software testing of our autonomous driving software stack. NVIDIA gives automakers, Tier 1 suppliers, automotive research institutions, and start-ups the power and flexibility to develop and deploy breakthrough artificial intelligence systems for self-driving vehicles. Today, we are working with over 270 partners that are using our platform in the development of autonomous cars, trucks, shuttles and taxis.

What you'll be doing:

• Support testing, quality assessment, and validation of AV and ADAS features
• Develop and document test procedures
• Perform in-car testing and record test results
• Work with operation team to arrange logistics for testing
• Report product issues in a timely and structured manner using issue management system (JIRA)
• Work closely with product team to keep a pulse on overall product health
• Work with engineering teams to define useful categorizations of issues and efficient triage methods for them

What we need to see:

• Experience with testing and validating automotive systems or similar robotic applications
• Proven track record of creating test plans, executing test cases to collect product health metric and reporting it back with detailed documentation
• Excellent communication skills
• Self-driven and on the go problem solving skills
• Valid driver’s license
• On-site availability
• Tech savvy and able to learn tools fast

Ways to stand out from the crowd:

• Experience with automotive Tier-1 supplier or OEM
• Deep knowledge of Autonomous Vehicle and ADAS features
• Degree in field of mechanical, electrical, automotive or computer engineering

Any computer language skills