Full-Time
Senior ASIC Front End Infrastructure Engineer
Updated on 7/21/2026
NVIDIA
10,001+ employees
Designs GPUs and AI HPC platforms
Compensation Overview
$184k - $356.5k/yr
Company Historically Provides H1B Sponsorship
Austin, TX, USA + 3 more
More locations: Santa Clara, CA, USA | Durham, NC, USA | Westford, MA, USA
In Person
 DevOps & Infrastructure (1) |
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 Electrical Engineering (1) |
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 Hardware Engineering (1) |
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- Masters Degree in Electrical Engineering, Computer Engineering, Computer Science or related or equivalent experience
- 8+ years of relevant work experience
- Programming proficiency in Python, Perl, or other Systems Programming language. OO design preferred.
- Experience using AI tools for development and automation
- Experience with Make based build systems in large, distributed computing environments
- Continuous Integration pipeline and/or pre-submit verification flow experience, for example using Jenkins
- You should display a tenacity to root cause and fix Infrastructure problems, especially intermittent, hard to isolate issues in a complex computing environment
- Verification domain knowledge with complex ASICs or CPUs using techniques such as random stimulus, functional coverage and assertion-based verification methodologies
- Strong problem-solving, debugging and analytical skills
- Good interpersonal skills and ability & desire to work as a great teammate
- Deploy AI toolsets at scale in secure configurations for use by all HW Design teams
- Use ML/DL/AI techniques to automate Infrastructure work and improve Design teamproductivity
- Improve the speed,flexibilityand extensibility of the GPU front end build flow
- Keep the GPU Continuous Integration system at thecutting edgeofsource management methodologies
- Guide compute farm,filer, and network topology requirementsat cloud scale
- Deployand continuously improvecompute farm technologies such as containers, volume cloning, distributedstorageand distributed compute atcloudscale
- Forecast HW Design compute resource and EDA needs, with reporting up to the CFO’s office
- Deploy tracking metrics to resolve operational issues, drive forecasting, and improve design productivity
- Deploy information security methods for HW design
- Remove inefficiency wherever you can find it!
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
- Rubin delivers 5x faster inference and 3.5x faster training than Blackwell starting H2 2026.
- Major hyperscalers Microsoft, AWS, Google Cloud, and CoreWe confirmed Vera Rubin implementation ahead of Q3 2026.
- Rubin Ultra targets 15 ExaFLOPS FP4 inference with 1.5 PB/s NVLink bandwidth per rack in 2027.
What critics are saying
- HBM4 scarcity from SK Hynix and Micron forces Rubin production cut to 1.5M units in 2026.
- Kyber NVL144 rack delayed to 2028 due to TSMC 78-layer PCB yield failure, breaking annual cadence.
- Rubin Ultra cuts HBM4E stacks to 12-Hi, delivering only 2.66x instead of 4x performance gain.
What makes NVIDIA unique
- Vera Rubin is a six-chip extreme codesigned AI supercomputer platform, not just a GPU.
- NVIDIA shifted to annual architecture cadence with Rubin, Ultra, and Feynman releases through 2028.
- Vera CPU with 88 ARM cores enables per-GPU efficiency and 1/10 Blackwell operational costs.
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Growth & Insights and Company News
6 month growth
↑ 1%1 year growth
↓ -1%2 year growth
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Nvidia shares have climbed 18% over a ten-day winning streak, the longest since 2023. The stock is trading about 8% below its October all-time high of $212.19. CEO Jensen Huang revealed at last month's GTC conference that Nvidia has over $1 trillion in GPU orders through 2027, including Blackwell and next-generation Vera Rubin chips. Data centre revenue surged 75% year-over-year and now comprises 88% of the business, a dramatic shift from five years ago when gaming dominated. The rally follows major deals including Meta's February commitment to deploy millions of Nvidia chips across its global data centres. On Monday, Nvidia denied rumours it was pursuing acquisitions of PC makers Dell or HP. The company also unveiled Ising, a new family of open-source models for quantum computing.