NVIDIA
Designs GPUs and AI HPC platforms
Manager – Asic Chip - Gpu
+ Equity
Working from Santa Clara is required.
About the job
- A Bachelor of Science in Electrical Engineering or equivalent experience is required.
- A minimum of 10 years of overall industry experience is required, including at least 5 years of leadership in GPU or key subsystems.
- In-depth knowledge of system-on-chip architectures, including central processing unit, graphics processing unit, and memory subsystems, is required.
- Expertise in silicon process technology, yield analysis, and cost modeling is required.
- Proficiency in front-end design flow, microarchitecture, unit partitioning, and pipelining is required.
- Proficiency in design verification techniques, tools, and methodologies is required.
- Strong written, verbal, and technical communication skills are required.
- Coordinate all aspects of GPU application-specific integrated circuit development from concept through mass production.
- Engage in architectural definition, silicon process and package selection, performance modeling, power budgeting, register-transfer-level development, and test implementation.
- Define and track project achievements and dependencies while coordinating activities across intellectual property development, software, emulation, integration, physical development, and very-large-scale integration teams.
- Collaborate with packaging, system design, design-for-test, test engineering, test software, and chip logistics teams to support silicon bring-up.
- Ensure flawless project execution by identifying and mitigating key technical risks.
- A Master of Science in Electrical Engineering or Master of Science in Computer Engineering is preferred.
- A proven track record of successfully implementing complex GPU application-specific integrated circuit projects is preferred.
- Demonstrated ability to lead and encourage cross-functional teams is preferred.
- Experience with artificial intelligence and datacenter products is preferred.
About the company
NVIDIA designs and manufactures graphics processing units (GPUs) and computing platforms used for gaming, data centers, and artificial intelligence. These products work by using parallel processing to handle complex mathematical calculations much faster than standard computer processors, supported by a software ecosystem that allows developers to build and run AI models. Unlike competitors that may focus solely on hardware, NVIDIA integrates its chips with specialized software and cloud services to create a complete environment for high-performance tasks. The company’s goal is to provide the underlying technology necessary to power advanced computing, from realistic video game graphics to autonomous vehicles and large-scale data analysis.
Company Size
10,001+
Company Stage
IPO
Headquarters
Santa Clara, California
Founded
1993
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Simplify's Take
What believers are saying
- August 2026 revenue hit $96.2 billion; data center revenue reached $89.0 billion.
- Management guided Q3 fiscal 2027 revenue to $108 billion, showing relentless demand.
- NAVER, Brookfield, and Nvidia expanded Korea’s AI factory to 200 megawatts in July 2026.
What critics are saying
- Taiwan indicted nine people on August 24, 2026 for illegal Nvidia chip exports to China.
- Memory costs cut Q3 gross margin guidance to 71%-72%, pressuring profitability in 2026.
- China export controls can erase a major market if Washington tightens rules further.
What makes NVIDIA unique
- CUDA, Blackwell, and Nemotron lock developers into Nvidia’s full-stack AI ecosystem.
- AWS and Nvidia announced 2 million additional GPUs for 2027-2028, deepening platform dependence.
- NVIDIA DSX combines chips, software, and facilities for sovereign AI factories.
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Growth & Insights and Company News
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↓ -2%Nvidia CEO Jensen Huang has countered hedge fund manager Michael Burry's concerns about the useful life of AI semiconductors. Burry, known for predicting the 2008 subprime market crash, argues that companies overestimate GPU lifespans at six years rather than two to three years, thereby inflating profits. However, Nvidia's Ampere A100 chips, launched in mid-2020, remain in demand six years later. Neocloud CoreWeave recently contracted to rent these processors through 2029, nine years after their introduction. Rental prices for the newer Hopper H100 chips have increased 22% month over month, suggesting continued strong demand. Huang shared this pricing data on social media this week, reinforcing his position against Burry's bearish outlook on AI semiconductor longevity.
Nvidia guided fiscal Q3 2027 revenue to $108 billion, an 18.7% increase from the prior quarter's guidance. The company expects revenue to grow approximately 70% in fiscal 2028, though supply constraints remain a factor. The stock gained 7% following the announcement, adding roughly $14.93 per share. However, rising memory costs driven by AI infrastructure demand are squeezing margins. Nvidia guided gross margin 0.9 percentage points lower for Q3, expecting it to bottom at 71-72% in Q4 2027 before stabilising at 72-73% in fiscal 2028. Operating expenses were also guided higher. The company's data centre business shows strong demand, with its ACIE segment growing 138% year-over-year to $40 billion in Q2 2027.
Verily Health has secured additional investment from NVIDIA and existing backer CU Healthcare Innovation Fund II. The funding extends Verily's March fundraising round. Current investors include Alphabet, Series X Capital, and UCHealth. The investment supports scaling of Verily's Pre Platform, a data and AI platform helping healthcare organisations deploy AI across research and care. It also backs Verily Me, the company's patient engagement offering. Verily and NVIDIA previously announced a collaboration in October 2025. Researchers using the Pre Platform can leverage NVIDIA AI libraries and B200 GPUs. Verily developed Forecast 1.0, a foundation model integrating genomics and electronic health record data to predict long-term health risks, using NVIDIA's AI stack.
NVIDIA has delivered a 14,460% return over the past decade, turning $10,000 into approximately $1.45 million. The company's stock currently trades near $226.18, with analysts setting a 12-month price target of $308.85, implying 36.55% upside. NVIDIA reported fiscal Q2 FY27 revenue of $96.22 billion, up 105.85% year-over-year, with data centre revenue hitting $89.02 billion. The company projects Q3 revenue of $108 billion at 74% gross margins. CEO Jensen Huang stated that demand significantly exceeds NVIDIA's current supply capacity. Management guided fiscal 2028 revenue growth of approximately 70%, describing it as supply-constrained. Top-five hyperscaler capital expenditure is projected at nearly $800 billion in 2026 and $1.3 trillion in 2027.
Nvidia CEO Jensen Huang declared over the weekend that artificial general intelligence has arrived, citing OpenAI's newest model Astra. Markets responded tepidly: Nvidia shares fell 2% whilst companies leveraged to OpenAI, like CoreWeave and SoftBank, saw gains. Gil Luria of D.A. Davidson suggests Nvidia is "too big to grow" despite reporting $96 billion in quarterly revenue. Economist Basil Halperin argues real interest rates, not stock prices, would signal true AGI. Real rates have risen three to four percentage points since 2021, partly due to AI infrastructure spending, but remain far from levels that would indicate transformative AI impact. Most experts expect AI to add only about half a percentage point to GDP growth. Halperin forecasts the next five years will resemble "the dot-com boom, but twice as fast and twice as hard.