Join NVIDIA, a leader in artificial intelligence computing, where our innovations are revolutionizing self-driving cars, machine learning, supercomputing, gaming, and visualization. As a Senior System Software Engineer on the NvSci team, you will play an integral role in crafting NVIDIA's leadership in AI.
What you'll be doing:
Build and implement next-generation NvSci software to enable seamless cross-platform functionality and efficient integration with user applications, hardware acceleration libraries, and frameworks on various SoCs.
Collaborate with internal and external collaborators to improve APIs, simplify system architecture, enhance software flexibility and maintainability, and elevate developer experience.
Evaluate trade-offs in resource-constrained environments and work closely with hardware and firmware engineers to optimize performance and improve the potential of crucial middleware NvSci APIs.
Lead end-to-end feature development for NvSci that meets stringent automotive safety and security standards (ISO 26262, ASPICE, ISO 21434), aligning with product roadmaps and release cycles.
Research and integrate sophisticated software engineering practices, automation tools, and generative AI technologies to improve software reliability, maintainability, and scalability.
What we need to see:
BS, MS in CS/CE/EE or related engineering field or equivalent experience.
8+ years of relevant software development experience.
Proficiency in C/C++.
Experience in system architecture, embedded systems, building complex systems with multiple threads, CPUs, accelerators, and chips.
Strong understanding of Operating Systems.
Excellent written and verbal communication skills, ability to clearly convey complex technical concepts.
Problem-solving skills, with a track record of driving solutions from concept to production.
Ability to work effectively in cross-functional, distributed teams.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. Our team is composed of some of the most forward‑thinking minds in tech. If you are driven, creative, and passionate about shaping the future of autonomous vehicles, we would love to hear from you. Apply today and contribute to the groundbreaking technologies that are changing the world of self‑driving cars and AI!
Skills Required
- BS or MS in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
- 8+ years of relevant software development experience
- Proficiency in C/C++
- Experience in system architecture and embedded systems (multi-threaded, multi-CPU, accelerators, SoCs)
- Strong understanding of Operating Systems
- Experience working with hardware and firmware teams to optimize system performance
- Experience leading feature development to meet automotive safety and security standards (ISO 26262, ASPICE, ISO 21434)
- Excellent written and verbal communication skills
- Proven problem-solving skills and track record of delivering solutions to production
- Ability to work effectively in cross-functional, distributed teams
- Experience researching or integrating generative AI technologies and automation tools
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.”
