The Automotive Vehicles team is searching for a creative and expert Software Systems Engineer to help us bring NVIDIA's autonomous vehicle solution out to the world. 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 deadlines, customers, and competition.
What you will be doing:
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Develop comprehensive, stable, traceable requirements to enable algorithm development with clear performance goals in mind.
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Lead and communicate data analysis to provide product and engineering teams with all the information vital to know why a particular decision is or is not acceptable
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Own the development of interfaces across abstraction layers with OEM partners to ensure stable and extensible algorithmic development
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Develop methods to analyze and compare the impact of ODDs on relevant performance metrics, translating data and analysis into impactful recommendations
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Prototype & pilot new/improved processes to unblock product execution, and mature them to the point where they can be mostly automated and/or delegated
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Drive autonomous vehicle safety system verification activities, including architecture and design verification, test strategy development working with the Safety System Integration & Verification Test Lead, and reviewing and prioritizing test results.
What we need to see:
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BS, MS, or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Physics, Computer Science, or another related field, or equivalent experience.
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8+ years of work experience in automotive, aerospace or defense industries
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Proven experience in systems engineering, robotics, systems analysis, data analysis, or statistical analysis
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Strong leadership and interpersonal skills, with the ability to drive alignment across large organizations
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Excellent communication and organization skills, with a logic approach to problem solving, good time management and task prioritization
Ways to stand out from the crowd:
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Experience with autonomous vehicles and/or machine learning
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You have experience working with large datasets, SQL and Python or C++
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Model Based Systems Engineering experience, especially with Magic Cyber Systems Engineer
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Familiarity or experience in automotive software development and ISO 26262
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Experience with start-ups and/or early-stage products
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative and autonomous, we want to hear from you.
The base salary range is 180,000 USD - 339,250 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”