Principal Software Engineer - CSP Engagements
About the job
- Extensive experience designing scalable, high-performance server systems at the software/hardware interface, with expertise in server system architecture and its impact on application performance.
- Proven leadership skills and strong project ownership in complex software and hardware environments.
- Deep understanding of computer architecture and microprocessor concepts, with expert knowledge of ARM (aarch64) and x86 architectures.
- Proficiency in system software design, operating system fundamentals, Linux kernel device drivers, and low-level hardware/software interfaces.
- Skill in complex system-level debugging, performance analysis, and test design.
- A BS or MS in Computer Engineering, Computer Science, or a related field, or equivalent experience with over 15 years in system software architecture and development.
- Drive system software architecture alignment and technical deep dives, serving as the primary software engineering contact for new product introduction projects with key customers.
- Collaborate with major customers to understand their roadmaps, use cases, and requirements and align them with NVIDIA’s roadmap.
- Lead cross-functional efforts to resolve complex, high-profile customer issues during the new product introduction phase.
- Make key technical decisions amid ambiguity and mitigate execution risks by following a left-shift strategy.
- Build and maintain customer trust by understanding and addressing customer needs.
- Work with cross-functional architects to define system software architecture for complex server platforms.
- Knowledge of cloud- and cluster-level deployment and management systems.
- Expertise in out-of-band and in-band management architectures, and experience with GPU computing (CUDA) and deep learning workloads.
- Knowledge of memory fabric and Compute Express Link (CXL) architectures.
About the company
NVIDIA designs the chips and software that power artificial intelligence and sells complete data center systems to cloud providers, AI labs, and other businesses, along with GeForce graphics cards for gamers. Its GPUs, chips that perform thousands of calculations at once, became the main hardware for AI after researchers used them to train the AlexNet image-recognition model in 2012. NVIDIA connects many GPUs with its own processors and networking gear into servers and rack-sized computers, and developers program them through its CUDA software. These systems bring in most of its sales, and it also makes chips for cars and robots. Jensen Huang co-founded NVIDIA in 1993, and it is based in Santa Clara, California.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
1993
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Simplify's Take
What believers are saying
- AI demand is still surging: data center sales rose 117% to $89 billion in the quarter ending July 2026.
- Stock grants are worth more: shares hit a record in October 2026, up 28% for the year.
- Engineering dominates hiring: 1,722 of NVIDIA's 2,686 job listings in October 2026 were in engineering.
What critics are saying
- Big buyers are hedging: Meta's February 2026 agreement covers 6 gigawatts of AMD chips.
- Financing its buyers is getting harder: lenders pushed back on NVIDIA's $500 billion chip-backed loan plan in October 2026.
- Staff described long hours: Bloomberg's August 2024 interviews reported seven-day weeks, late nights and shouting matches.
What makes NVIDIA unique
- Rivals must match its software too: over 7.5 million developers use CUDA and other NVIDIA tools to program its chips.
- The CEO has a broad direct staff: Jensen Huang says over 60 people report to him, without one-on-ones.
- People rarely leave: NVIDIA's yearly staff turnover is 3.7%, versus a 21.9% average across the tech industry.
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Benefits
- Company Equity
- 401(k) Company Match