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About the Role
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.
Responsibilities
- 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
- 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
- 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
Skills
- Python
- Perl
- Systems Programming
- OO design
- AI tools for development and automation
- Make based build systems
- Continuous Integration
- Jenkins
- Problem-solving
- Debugging
- Analytical skills
- Interpersonal skills
- Teamwork
Location
- Remote
Work Type
- Full-time
Experience Level
- 8+ years
Education Level
- Masters Degree
Salary/Compensations
- 184,000 USD – 287,500 USD for Level 4
- 224,000 USD – 356,500 USD for Level 5
Benefits
- Equity
- Benefits
About the Company
- NVIDIA is widely considered to be one of the technology world’s most desirable employers.
- We have some of the 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?
- NVIDIA uses AI tools in its recruiting processes.
Equal Opportunity
- NVIDIA is committed to fostering an inclusive 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.