Our Autonomous Vehicles Platform Team is searching for a hands-on software engineer to design ground-breaking solutions that will revolutionize the world of transportation and the growing field of self-driving cars! You will build replay tools & collaborate with hardworking and dedicated multi-functional teams to help validate & verify our AV software stack before it hits the road.
What you'll be doing:
Collaborate across platform software, infrastructure, and ADAS algorithm teams to translate requirements into replay framework architecture and design.
Drive technical solutions for new concepts related to replay 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).
12+ years of relevant experience working in software engineering and replay/simulation.
Excellent C and C++ programming skills.
Experience designing, developing, and debugging complex systems.
Strong understanding of QNX, Linux and real-time operating systems.
Solid understanding of replay/simulation concepts & strong foundation in mathematics.
Experience working on a large scale replay/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.
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive 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.Skills Required
- BS/MS in Computer Science, Electrical Engineering, or related engineering field (or equivalent experience).
- 12+ years of relevant experience in software engineering and replay/simulation.
- Excellent C and C++ programming skills.
- Experience designing, developing, and debugging complex systems.
- Strong understanding of QNX, Linux and real-time operating systems.
- Solid understanding of replay/simulation concepts and strong foundation in mathematics.
- Experience working on a large-scale replay/simulation system (open and closed loop) for an AV stack.
- Ability to self-manage and adapt in a dynamic environment.
- Excellent written and verbal communication skills.
- Knowledge of automotive systems, notably ADAS and autonomous driving systems.
- Embedded system and SW/HW cross-domain knowledge.
- Hands-on teamwork with attention to detail, data organization and presentation.
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.
NVIDIA Insights
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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