Our Autonomous Vehicles Platform Team is searching for a hands-on simulation engineer to design ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars. You will collaborate with hardworking and dedicated multi-functional engineering development teams across various vehicle subsystems to integrate their work into our autonomous driving platform.
What you’ll be doing:
Collaborate across platform software, infrastructure, and ADAS algorithm teams to translate replay and simulation requirements into replay/simulation framework architecture and design
Drive technical solutions for new concepts related to replay/simulation framework and infrastructure
Design, document and optimize software architectures and frameworks for real-world performance while matching or exceeding customer requirements
Engage in exciting, fun and challenging work involving a plethora of unsolved problems
What we need to see:
BS/MS in Computer Science, Electrical Engineering, or related engineering field (or equivalent experience)
8+ years of relevant experience working in software engineering and simulation
Excellent C and C++ programming skills
Experience designing, developing, and debugging complex systems
Solid understanding of QNX, Linux and real-time operating systems
Solid understanding of simulation concepts & strong foundation in mathematics.
Experience working on a large scale simulation system (open and close loop) for an AV stack
Ability to self-manage and adapt in a dynamic environment
Possess excellent written and verbal communication skills
Ways to stand out from the crowd:
Knowledge of automotive systems, notably ADAS applications and preferably autonomous driving systems
Embedded system, SW/HW cross-domain knowledge
Hands-on and work well within a team of system, software and infrastructure engineers, with a significant level of detail orientation and a penchant for data organization and presentation
Excellent communication, presentation, social, and analytical skills; the ability to communicate complex interaction concepts clearly and persuasively across different audiences and varying levels of the organization
NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can pursue, and that matter to the world. This is our life’s work: to amplify human creativity and intelligence. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you are creative, autonomous, and love a challenge, we would love to hear from you!
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
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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.”
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