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Job Type
Full Time -
Experience
6-8 year -
Salary
$124,000 - $345,000 / Year -
Location
Austin, TX, USA -
Job Function
-
Industry
Information Technology -
Qualification
Degree in Artificial intelligence- AI
Degree in Computer Engineering
Key Skills
Aartificial intelligence, GPUs, Infrastructure as code, Machine learning techniques, Perl Programming, Python Programming, RTL design
Job Description
NVIDIA is seeking elite ASIC RTL/Verification ASIC engineers to develop the core Verification and RTL infrastructure of the world's leading GPUs. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting product lines ranging from consumer graphics to artificial intelligence to self-driving cars and supercomputers.
Our team of dedicated Infrastructure engineers continuously upgrades the NVIDIA Hardware design environment. We focus relentlessly on Infrastructure improvement so that HW designers can focus relentlessly on their jobs, with Infrastructure that “just works” at worldwide scale and peak performance. Do you like root causing a flow failure, even if it’s rare and hard to reproduce? Learning and deploying best in class internal and industry solutions? Instrumenting flows to measure performance and then improving efficiency? Can you do that at scale, seamlessly transitioning teams from old flows? Then join us!
What you'll be doing:
- Define and deploy ML/AI techniques to improve Infrastructure efficiency and support
- Improve the speed, flexibility and extensibility of the GPU front end build flow
- Keep the GPU Continuous Integration system at the cutting edge of industry techniques
- Guide compute farm, filer, and network topology requirements
- Deploy new compute farm technologies such as containers, volume cloning, distributed storage and distributed compute at scale
- 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!
What we need to see:
- Masters Degree in Electrical Engineering, Computer Engineering, Computer Science or related or equivalent experience
- 5+ years of relevant work experience
- Programming proficiency in Python, Perl, or other Systems Programming language. OO design preferred.
- 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
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you creative and autonomous? Do you love the challenge of crafting the most sophisticated chips in the world? If so, we want to hear from you.
The base salary range is 124,000 USD - 345,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
Company Info.
NVIDIANVIDIA’s invention of the GPU sparked the PC gaming market. The company’s pioneering work in accelerated computing—a supercharged form of computing at the intersection of computer graphics, high performance computing and AI—is reshaping trillion-dollar industries, such as transportation, healthcare and manufacturing, and fueling the growth of many others.
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IndustryCloud computing,Video games,Computer software,Semiconductors,Computer hardware,Consumer electronics,Artificial intelligence
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No. of Employees22,473
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Location2701 San Tomas Expressway, Santa Clara, CA 95050, USA
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Website
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Jobs Posted
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