EDA Workflow Optimization Engineer

at Nvidia
📍 Santa Clara, United States
USD 272,000-471,500 per year
MIDDLE
✅ On-site

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 in the EDA Workflow Optimization team you will partner closely with engineering teams worldwide to understand and improve workflows covering 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 re-invent flows, 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 to enable next-generation chips.

Responsibilities

  • Perform fast-paced investigations to empower engineers to develop at high speed.
  • Participate in the full lifecycle of tool development, testing, and deployment.
  • Work closely with team members and chip engineers to optimize EDA workflows and the compute architecture.
  • Build reliable metrics usable by hundreds of engineers worldwide.
  • Continuously improve the chip development process and contribute to quality and time-to-market for next-generation chips.
  • Build scalable, reliable, high-performance systems and tools alongside EDA and software experts.

Requirements

  • 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) that chip engineers depend on.
  • 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 level usage of UNIX and UNIX utilities.
  • Excellent planning and communication skills.
  • Experience applying data analysis principles and influencing data-driven decisions.
  • Flexibility and adaptability in a dynamic environment with changing requirements.
  • PhD in Computer Science or equivalent experience.
  • 12+ years of relevant experience.

Preferred / 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.
  • Passion for improving engineering productivity and efficiency via a data-driven philosophy.

Compensation & Other Details

  • Base salary ranges (dependent on level and location):
    • Level 6: 272,000 USD - 425,500 USD
    • Level 7: 308,000 USD - 471,500 USD
  • You will also be eligible for equity and benefits.
  • Applications for this job will be accepted at least until September 28, 2025.
  • NVIDIA is an equal opportunity employer committed to diversity and inclusion.