System Verification Infrastructure Engineer – New College Grad 2023
About the job
- BS or MS in CS/CE/EE or related field (or equivalent experience)
- Experience with object-oriented C++ programming
- Understanding of computer and memory system architecture
- In this position, you will develop the environments to program and test next generation GPU and system features long before they are built into a product or driver software exists. Bring your love for solving significant problems, as every day is different!
- You will work alongside colleagues from architecture, hardware, and software to unlock the functionality and performance of next generation NVIDIA chips
- Our team participates in the entire chip development and release lifecycle, starting from the architectural specification through release to production
- Python skill are a plus
- Experience in software development lifecycle on Linux-based platforms preferred
- Experience with collaborating and communicating with global partners
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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-2%Taiwan plans to raise billions of dollars to build industrial parks in the US, creating a base for a full supply chain serving Nvidia Corp. and other makers of AI hardware. The headline project is a $4 billion complex in Texas, which Taiwan will fund.
Adobe and Nvidia have expanded their partnership, building on a March agreement covering creative and marketing workflows, including Firefly Foundry and enterprise digital twins. The companies have optimised a version of Adobe's Brand Concierge, an AI conversational product, using Nvidia's Nemotron open models. Nvidia positions those models for enterprise chatbots and copilots. The version is due for enterprise customers later in 2026. Nvidia has selected Brand Concierge for personalised website conversations.
A Motley Fool columnist says Nvidia, Alphabet, and Amazon are the three "Magnificent Seven" stocks he wants to buy more of, as each stands to gain from the artificial intelligence build-out. Amazon's data centre spending is expected to reach $220 billion in 2026, and Alphabet's about $200 billion. In Q2, Google Cloud revenue rose 82% with a 36% operating margin, backed by over $500 billion in backlog. Amazon Web Services grew 37%, producing 21% of revenue but 60% of operating profit. Nvidia supplies most of the chips behind this spending. It says the five big AI hyperscalers will spend nearly $800 billion on data centres this year and $1.3 trillion next year. Nvidia projects 70% revenue growth in 2027.
Cisco Systems and NVIDIA have announced a collaboration to bring 400G optical technology to AI data centres. The partners plan to commercialise a new ultra small form factor pluggable (USFP) standard designed to quadruple bandwidth density. The companies aim to build an open hardware ecosystem with other optical and networking vendors, including TE Connectivity and Amphenol, to support large AI workloads. The move targets the wiring bottleneck that could cap AI infrastructure spending. Cisco, which has a market capitalisation of about $453.7b, faces competition from Arista and Juniper in AI networking, and analysts flag hardware mix and memory costs as a margin risk.
Nvidia chief executive officer Jensen Huang says customers keep ordering more AI chips than the company can supply, even as a tech selloff raises doubts about how the industry will pay for its expansion. New orders arrive "almost weekly and daily," he told the BG2 podcast. US semiconductor stocks have lost roughly $1.64 trillion in market value over six sessions, Reuters reported, as investors worry about debt-funded AI spending. Nvidia shares fell 3.2% on Wednesday and traded lower again Thursday. Huang said power shortages, unfinished data centres, and component limits also restrict supply. He dismissed concerns that OpenAI and Anthropic must earn trillions, saying frontier labs account for 25% to 30% of Nvidia's computing activity. CoreWeave has about $50 billion in debt, and yields on some of its bonds have neared 16%. Nvidia owns roughly 10% of the cloud provider. Huang said it needs no extra financial support.