EDA Workflow Optimization Engineer jobs in United States
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NVIDIA · 4 hours ago

EDA Workflow Optimization Engineer

NVIDIA has been transforming computer graphics and computing for over 25 years, and they are seeking an EDA Workflow Optimization Engineer to improve chip design processes. The role involves collaborating with engineering teams to enhance workflows, build metrics, and contribute to the development of innovative chips.

AI InfrastructureArtificial Intelligence (AI)Consumer ElectronicsFoundational AIGPUHardwareSoftwareVirtual Reality
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Growth Opportunities
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H1B Sponsor Likelynote
Hiring Manager
Sarmita Chatterjee
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Responsibilities

Work in a diverse team performing fast paced investigations to empower our engineers to develop at the speed of light
Participate in the full life-cycle of tool development, test, and deployment
Work closely with other team members and chip engineers to understand and optimize how workflows use the compute and storage environments
Build metrics that are reliable and easy to use by hundreds of engineers around the world
Continuously improve our chip development process
Directly contribute to the overall quality and time to market for our next generation chips

Qualification

EDA toolsUNIX programmingASIC/VLSI designPythonData analysisFlexibility/adaptabilityPlanning skillsC/C++ programmingPerl programmingCommunication skills

Required

Strong experience investigating and debugging complex, multi-discipline problems in a UNIX engineering environment
Hands-on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on
Experience with ASIC, VLSI, CAD/EDA or mixed signal design workflow environments
Hands-on experience with EDA tools
Experienced in UNIX Systems programming and automation using Python and/or Shell
Authoritative level usage of UNIX and UNIX utilities
Excellent planning and communication skills
Experience in applying data analysis principles and influencing data-driven decisions
Flexibility/adaptability working in a dynamic environment with changing requirements
BS in Computer Science or equivalent experience; MS (preferred)
5+yrs of relevant experience

Preferred

Experience with job schedulers (in particular IBM Spectrum LSF and/or SLURM)
Hands-on experience running GPU-based workloads in a batch computing environment and a deep understanding of distributed system principles
Strong programming and debugging skills with C/C++, Python, and Perl on UNIX
A passion for improving engineering productivity and efficiency via data-driven philosophy

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1877)
2024 (1355)
2023 (976)
2022 (835)
2021 (601)
2020 (529)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
Founder and CEO
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Michael Kagan
Chief Technology Officer
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Company data provided by crunchbase