We are searching for an extraordinary Sr. System SW Engineer for an exciting and fun role in our Deep Learning Accelerator (DLA/NPU) team. Our team is responsible for the end-to-end DLA system sw stack including user mode drivers, kernel mode drivers, and the firmware, as well as the DLA compiler toolchain stack. DLA supports a growing range of deep-learning use-cases, ranging from self-driving cars, smart embedded systems, video game frameworks, and content creation.
You will be responsible for developing and maintaining system software drivers for next generation NVIDIA deep-learning hardware. A strong candidate will have good leadership, communication, organizational, and problem solving skills. Experience developing low level software drivers for programming rich HW acceleration engines is required. Familiarity with deep learning is desired.
What you'll be doing:
Design and maintain low-level drivers for next generation NVIDIA hardware
Layout and maintain software driver verification
Design and sustain performance and precision modeling
What we need to see:
You should have a Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)
12+ years of experience developing and leading complex low-level or system software projects
Strong interpersonal, verbal, and written communications skills with a capability to achieve objectives under tight deadlines
Experience designing, developing, and maintaining complex system software stacks
Need to demonstrate strong C programming skills with experience working with large codebases
Background with operating system interfaces for threads, process control, and virtual memory
Experience writing and debugging multithreaded programs
Ways to stand out from the crowd:
Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
Experience with kernel mode development
Experience with Linux, Windows, or macOS driver development
Familiarity with Deep Learning
Some familiarity with C++
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial 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 hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
Skills Required
- Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field
- 12+ years of experience developing and leading complex low-level or system software projects
- Strong C programming skills with experience working with large codebases
- Experience designing, developing, and maintaining complex system software stacks
- Background with operating system interfaces for threads, process control, and virtual memory
- Experience writing and debugging multithreaded programs
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.”
