About The Position

The Automotive Vehicles team is searching for a creative and experienced Software Systems Engineer to help bring NVIDIA's next generation autonomous vehicle solutions to market! You will participate in a focused effort to develop and productize ground-breaking solutions that will redefine the world of transportation and the growing field of self-driving cars. You will work with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our AV SW platform, while achieving or exceeding all relevant NVIDIA and automotive standards & guidelines. You'll find the work is exciting, fun, and relevant. We have real-world product expectations, customers, and competition.

Requirements

  • BS, MS, or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or another related field, or equivalent experience.
  • 5+ years of proven industry experience
  • Strong analytics and architectural background in a development and production setting
  • Experience in systems engineering, robotics development, or systems integration and test
  • Strong leadership and interpersonal skills, with the ability to drive alignment between product development, engineering, and test teams.

Nice To Haves

  • Experience with complex hardware and software systems
  • Experience with Model-Based Systems Engineering methods and tools, especially with Magic Cyber Systems Engineer / Cameo
  • Experience with software and/or tool development with a focus on modelling, analysis, utility languages such as Python and the use of AI tooling to enhance requirement and test coverage analysis.
  • Success applying the systems V-Model to sophisticated engineering projects, ideally advanced driver assistance or autonomous vehicle systems and associated standards (e.g. ISO 26262)
  • Deep technical background in at least one focus area of robotic systems development (e.g. sensing, perception, motion control)

Responsibilities

  • Develop, evaluate, and build architectures for SAE Level 2 to Level 4 driver assistance and self-driving vehicle technologies
  • Characterize autonomous vehicle interactions relative to vehicle requirements to drive data collection for system training and verification
  • Drive autonomous vehicle system verification activities, including architecture and design verification, test strategy development working with the System Integration & Verification Test Leads, and reviewing and prioritizing test results
  • Lead and communicate data analysis, working with product and engineering teams to drive design decisions relative to requirements and system behavioral needs
  • Develop methods to analyze and compare the impact of ODDs on relevant performance metrics, translating data and analysis into impactful recommendations

Benefits

  • equity
  • benefits
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