EDA Workflow Optimization Engineer

at Nvidia
📍 Santa Clara, United States
USD 148,000-287,500 per year
MIDDLE SENIOR
✅ Hybrid

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Python @ 3 Communication @ 3 Networking @ 3 Perl @ 6 Data Analysis @ 5 Debugging @ 6 Agile @ 3 GPU @ 6

Details

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. As an engineer on the EDA Workflow Optimization team you will partner closely with engineering teams worldwide to understand and optimize the full chip design process—from inception through study, architecture, design, verification, emulation, layout, packaging, power-on and production. You will guide teams to improve and sometimes re-invent flows, enable engineers with best-in-class tools, perform investigations to understand flaws and opportunities, construct metrics to continuously measure performance of flows and services, and build new infrastructure in an agile production software environment.

Responsibilities

  • Perform fast-paced investigations to empower engineers to develop at high velocity.
  • Participate in the full life-cycle of tool development, testing, and deployment.
  • Collaborate with team members and chip engineers to understand and optimize how workflows use compute and storage environments.
  • Build reliable, easy-to-use metrics consumed by hundreds of engineers globally.
  • Continuously improve chip development processes and associated infrastructure.
  • Contribute directly to overall quality and time-to-market for next-generation chips.

Requirements

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

Ways to stand out

  • 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 a data-driven philosophy.

Compensation & Other Details

  • Base salary ranges by level:
    • Level 3: 148,000 USD - 235,750 USD
    • Level 4: 184,000 USD - 287,500 USD
  • You will also be eligible for equity and benefits.
  • Applications for this job will be accepted at least until October 6, 2025.

Equal Opportunity

NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. The company does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or other protected characteristics.