Full-Time
Senior Software Architect
GPU Networking Research
Updated on 9/4/2026
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
No salary listed
Company Historically Provides H1B Sponsorship
Remote in USA
Hybrid
Hybrid work model: on-site in Zurich, Switzerland, and remote work allowed.
Master's, PhD
 Software Engineering (1) |
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- Hold a M.Sc. or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience).
- 8+ years of industry experience (or equivalent) in systems architecture or related fields.
- Experienced in virtualization, networking and storage.
- Experienced in either Windows or Linux drivers, with a very good background of the other OS.
- Deep understanding of performance profiling and optimization techniques, together with defining and using HW offloads.
- A teammate with a can-do attitude, high energy and excellent interpersonal skills.
- Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
- Enhance NVIDIA's future GPU Networking offerings for accelerating AI workloads.
- Lead vision, architecture and design of such technologies.
- Lead proof-of-concept development to evaluate and drive such technologies.
- Identify and evaluate new technologies, innovations and partner relationships for alignment with our technology roadmap and business value.
- Work with the community and maintainers to drive strategic technologies
- Shown research track record.
- Have experience and passion for system architecture, CPU/GPU/memory/storage/networking.
- Stellar communication skills.
- Knowledge in Deep Learning frameworks
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
- Amazon ordered 2 million GPUs for 2027-2028, validating hyperscaler demand.
- August 2026 Lancium investment secured 4 GW leased capacity and 15 GW pipeline.
- Blackwell Ultra and Vera Rubin shipments began; production ships in late 2026.
What critics are saying
- Taiwan prosecutors indicted NVIDIA staff August 24, 2026 over illegal China server exports.
- China’s antitrust probe still threatens fines, remedies, and slower mainland sales.
- China export controls and ASIC substitution can cut NVIDIA off from a trillion-dollar market.
What makes NVIDIA unique
- CUDA and NVLink lock developers into NVIDIA’s full-stack AI platform.
- FY2026 revenue hit $215.9 billion, with data center revenue $193.7 billion.
- Rubin launched February 2026, targeting 10x lower inference costs than Blackwell.
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Growth & Insights and Company News
6 month growth
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↓ -1%2 year growth
↓ -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.