NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and heterogeneous hardware architectures. We are now looking for a Senior Integration Engineer, Autonomous Vehicle.
What you'll be doing:
Defining functional software architecture NVIDIA's L2/L3/L4 autonomous driving solutions.
Integrating modular software components (e.g. perception, planning, etc.) together to implement customer-required self-driving functions.
Optimizing product implementation to achieve target performance goals.
Diagnosing system software & functional driving issues reported on our target driving platforms, including on-road & simulation.
Create efficient mechanisms to improve utilization on computers with multiple heterogeneous hardware engines.
Performing in-vehicle tests, collecting data and completing autonomous drive missions.
Developing system tests, documentation of product functions, evaluating quality and proposing corrective actions.
Developing highly efficient product code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA).
Follow quality and safety standards such as defined by MISRA.
What we need to see:
PhD with 1+ year, MS with 3+ years, or BS (or equivalent experience) with 5+ years of relevant experience in Computer Science, Computer Engineering, or a related technical field.
Excellent C and C++ programming skills.
Experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc. Profound knowledge of programming and debugging techniques.
Experience on developing software in heterogeneous architectures, including GPUs.
Background with version control systems GIT and build system like CMake/Bazel.
Be hands-on and work well within a team of algorithm, software and hardware engineers, with a significant level of detail orientation and a penchant for data organization and presentation.
Solid understanding of Linux, and/or other real-time operating systems.
Ways to stand out from the crowd:
Understanding of parallel, embedded and distributed architectures.
Great at writing low latency, highly performant code.
Great communication and analytical skills.
Self-motivated and a great teammate.
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 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.Skills Required
- PhD with 1+ year, MS with 3+ years, or BS with 5+ years of relevant experience in Computer Science or related field
- Excellent C and C++ programming skills
- Experience developing and debugging multithreaded/distributed applications
- Experience on developing software in heterogeneous architectures, including GPUs
- Background with version control systems GIT and CMake/Bazel
- Solid understanding of Linux and/or other real-time operating systems
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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