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NVIDIA

Designs the chips and software that power AI

Senior Software Engineer - C++ and CUDA, Analytics and Data Intelligence

Full-Time
$184k - $356.5k/yr+ Equity
Senior, Expert
Master's, PhD
Washington, USA+5 moreMore locations: California, USA | Texas, USA | Santa Clara, CA, USA | New York, NY, USA | Massachusetts, USA
Hybrid
Software Engineering
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • At least 8 years of experience in Computer Science or Software Engineering.
  • An MS degree or PhD in computer science, engineering, or a related field, or equivalent experience.
  • Strong Modern C++ programming skills.
  • Ability to develop robust, readable, high-performance code.
Responsibilities
  • Own development for UcxExchange in Velox, including GPU-to-GPU communication in Presto.
  • Drive the UcxExchange feature roadmap, improve performance, and ensure correctness.
  • Optimize multi-node performance for analytical queries with Presto GPU across on-premises clusters and public cloud servers.
  • Lead projects in Presto, Velox, and cuDF, including operator completeness, GPU memory oversubscription, and efficient CPU fallback.
Desired Qualifications
  • Expertise in high-performance communication protocols such as UCX and NCCL and distributed algorithms for query engines.
  • Familiarity with RAPIDS cuDF.
  • Experience in distributed workflow development and debugging.
  • Open-source software development experience and publishing work in technical blogs and conferences.

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 Jobs

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

Growth & Insights and Company News

6 month growth

1%

1 year growth

0%

2 year growth

-1%
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