Senior ASIC Front End Infrastructure Engineer

NVIDIA Ltd.
Austin, TX, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Compensation
$184,000.0 - $356,500.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Cyber Security Computer Programming Computer Engineering Continuous Integration Software Debugging Microprocessors Distributed Data Store Distributed Systems Perl (Programming Language) Formal Verification Network Topologies
+9 more
Python (Programming Language) Object-Oriented Software Development Systems Development Life Cycle Software Tools System Programming Application Specific Integrated Circuits Information Technology Build Tools Jenkins

Job description

  • 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 team productivity
  • Improve the speed, flexibility and extensibility of the GPU front end build flow
  • Keep the GPU Continuous Integration system at the cutting edge of source management methodologies
  • Guide compute farm, filer, and network topology requirements at cloud scale
  • Deploy and continuously improve compute farm technologies such as containers, volume cloning, distributed storage and distributed compute at cloud scale
  • 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!

Requirements

Do you have experience in Verification (System development task)?, Do you have a Master’s degree?, * 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

Benefits & conditions

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

About the company

NVIDIA is seeking elite ASIC Infrastructure engineers to deliver the tooling and environment that enables DV and RTL Design for the world’s leading GPUs. This position offers the opportunity to have a real impact on a dynamic, technology-focused company impacting product lines ranging from consumer graphics to artificial intelligence, 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, and others have given up? Rapidly learning and deploying best in class internal and industry solutions including AI harnesses in secure environments that you then use to build Skills and Agents for Infrastructure Automation? Instrumenting flows to measure performance and then improving efficiency? Can you do that at scale, seamlessly transitioning teams from old flows? Then join us!, 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!

Apply for this position

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