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NVIDIA

Designs the chips and software that power AI

ASIC Design Engineer

Full-Time
$116k - $218.5k/yr+ Equity
Junior, Mid
Bachelor's, Master's
Santa Clara, CA, USA
In Person
Hardware EngineeringSilicon & ASIC Design
Company Historically Provides H1B Sponsorship

About the job

Requirements
  • A Bachelor of Science or Master of Science degree, or equivalent experience, in Electrical Engineering, Computer Engineering, or Computer Science.
  • At least 2 years of relevant RTL design work experience.
  • Strong knowledge of microarchitecture and RTL development using Verilog, including front-end flows such as logic synthesis, power analysis, and timing analysis.
  • Exposure to digital systems and VLSI design, computer architecture, and computer arithmetic.
  • Strong coding skills in Perl, Python, or other industry-standard scripting languages.
  • Ability to work effectively in a team.
Responsibilities
  • Draft microarchitecture documents and implement high-performance, area-efficient, and power-efficient RTL to meet defined development targets and specifications.
  • Analyze architectural trade-offs based on features, performance requirements, and area and power constraints.
  • Craft microarchitecture, implement it in RTL, and deliver fully verified, synthesis-clean, and timing-clean builds.
  • Collaborate with architects, designers, and pre-silicon and post-silicon verification teams to deliver RTL builds.
  • Work on IPs including GPU time-distribution systems, engine schedulers, interrupt controllers, and copy engines.
  • Assist the silicon bring-up team with debugging and post-silicon validation activities.
Desired Qualifications
  • Strong C and C++ skills.
  • Experience with multiple clock domains, asynchronous logic, interface protocols, and arbitration schemes.
  • Strong debugging, problem-solving, and analytical abilities.

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

Headcount

6 month growth

0%

1 year growth

-1%

2 year growth

-2%
Yahoo Finance
Oct 16th, 2026
Nvidia's $108B revenue outlook still rests on hardware as paid software remains unproven

Nvidia is pushing paid software to make its earnings less reliant on hardware sales. AI Enterprise lists at $4,500 per GPU annually, and Mission Control automates workload scheduling and recovery. Hardware still drives results. Second-quarter revenue grew 106%, and management expects third-quarter revenue of $108 billion. Gross margin is forecast to ease from 75% to 74%. Nvidia trades at 25x forward earnings, against 39x for Advanced Micro Devices. First-half free cash flow was $69.9 billion, but supply and capacity commitments reached $279 billion. Nvidia does not separately disclose recurring software revenue or renewal rates. Free alternatives exist, and some GPUs include five-year licences.

Yahoo Finance
Oct 16th, 2026
Nvidia shares slip 0.7% to $215.7 as RTX Spark laptops launch from $2,599

Nvidia launched RTX Spark laptops on October 16, bringing local AI agents and its CUDA software platform to premium Windows machines. Its shares traded at $215.7, down 0.7%, at 9:40 ET. Six manufacturers are selling systems that start at $2,599. TechRadar reported configurations with up to 128GB of unified memory, but cautioned that memory alone does not guarantee real-world AI performance. The test for investors is whether the features persuade buyers to spend more and lift chip sales. Nvidia has not disclosed its revenue per device. Analysts will watch sales volumes, purchases of higher-end configurations, and sustained developer usage.

Yahoo Finance
Oct 16th, 2026
Nvidia expands Nemotron models as Taiwan backs $4B Texas park and CoreWeave debt worries grow

Nvidia has expanded its Nemotron 3.5 open AI model lineup, adding variants aimed at higher efficiency and performance. It also partnered with Mindbeam to tune the models for open-source use and improve inference on Nvidia hardware. Separately, Taiwan backed a $4 billion industrial park in Texas to strengthen Nvidia-linked AI supply chains inside the US. Not all the news was positive. CoreWeave, a major Nvidia-aligned AI cloud customer, faces debt pressure that is unsettling confidence in AI infrastructure funding. If credit stays tight, orders could slow.

Yahoo Finance
Oct 16th, 2026
NVIDIA RTX Spark laptops launch from $2,599 with 128GB memory and 1 petaflop of AI power

NVIDIA today launched RTX Spark laptops, bringing its RTX graphics and AI platform to slim Windows PCs. They are available globally from ASUS, Dell, HP, Lenovo, Microsoft, and MSI, with more systems to follow. Each laptop runs on a single superchip that combines a Blackwell RTX GPU and a Grace CPU. It offers up to 128GB of unified memory and up to 1 petaflop of AI performance, enough to run large AI models locally. NVIDIA says the machines can render 3D scenes up to 90GB and edit 8K video, even when unplugged. Adobe's Photoshop and Premiere offer native support in beta. Prices start at $2,599 and vary by region.

Yahoo Finance
Oct 16th, 2026
Nvidia rises 0.4% premarket as Micron, Intel and AMD slip in chip selloff

Nvidia (NVDA) shares rose 0.4% in premarket trading on Friday, even as Micron Technology, Intel, and Advanced Micro Devices fell 0.2% to 1.1% amid a broader chip selloff. The stock has gained 16.8% so far this year. On Thursday, Nvidia unveiled three open-weight Nemotron 3.5 AI models built for agentic AI applications. Chief executive officer Jensen Huang also said on the BG2 Pod podcast that the company receives AI chip orders almost daily. "We keep increasing more supply and the order books keeps going up," he said. Strong results from Taiwan Semiconductor Manufacturing Co. and ASML Holding earlier in the week eased fears of slowing AI chip demand. Still, investors continue to weigh AI spending against rising infrastructure costs.