CAD Engineer

3 Weeks ago • 2 Years + • Research & Development

Job Summary

Job Description

NVIDIA's VLSI Productivity and Infrastructure team seeks a self-sufficient CAD Engineer to automate workflows for chip design engineers. Responsibilities include designing, developing, deploying, and improving scalable workflows and automation platforms for compute-intensive workloads. This involves understanding user workflows, planning automation strategies, working with legacy and new systems (Perl, Python, Make), using version control (Perforce, Gitlab), and collaborating with chip designers to standardize and improve their processes. The ideal candidate possesses strong programming fundamentals, experience with enterprise workflow automation, and an understanding of UNIX processes, concurrency, and load balancing. EDA/C++ experience is a plus.
Must have:
  • M.S. CS or equivalent
  • 2+ years experience
  • Strong programming skills
  • Workflow automation experience
  • Enterprise setting experience
  • Understanding of UNIX processes
Good to have:
  • EDA/C++ Tools development
  • Perl, Make, VLSI flow experience
  • Problem-solving in large systems
  • NFS and job-scheduling (LSF)
Perks:
  • Industry-leading salaries
  • Generous benefits package

Job Details

We are looking for self-sufficient full-time software engineers with a strong desire to build high-quality, long-lasting workflows. The VLSI Productivity and Infrastructure team supports hundreds of chip design engineers by building internal tools and platforms that supercharge their everyday work. From build automation to machine learning, databases to web applications, and on-prem compute to cloud workloads, this team handles it all!

Although every member of our team is multi-faceted, the focus for this role is on automating workflows for user-friendliness, maintainability, and extensibility. You will work closely with chip designers to thoroughly understand their daily work and help standardize, automate and improve their process, which will then be deployed using our custom build system. You won't be designing chips or running hardware flows (except to test your automation). On a typical day, you might work with both legacy and new systems in Perl, Python, and Make, using Perforce and Gitlab to deploy your work. You should also be proactive in improving our own team's productivity, championing software development best-practices, and sharing that knowledge with the larger team. If you embrace abstraction and have an intuition for decomposing ambiguous, highly coupled systems, we believe you will fit right in.

What you will be doing:

  • Responsible for current and next-generation workflow automation for VLSI chip engineers

  • Design, develop, deploy, and improve highly scalable, long shelf-life workflows and automation platforms for compute and memory-heavy workloads

  • Deconstruct user workflows into actionable tasks and plan a pathway to automation

What we need to see:

  • M.S. CS/related (or equivalent experience) with 2+ years developing engineering-facing workflows in an enterprise setting

  • Solid programming fundamentals in algorithms/data structures with a multi-year history of maintaining platforms in production

  • EDA / C++ Tools development experience is a plus

  • Excellent grasp of polyglot systems and the intertwining of workflows and UNIX processes, concurrency and load-balancing

Ways to stand out from the crowd:

  • Experience seeking and solving problems in partitioning and optimizing existing interconnected systems

  • Understand NFS and job-scheduling within the constraints of IT-managed LSF infrastructure

  • Exposure to Perl, Make and VLSI flows, alongside robust design ideals

With industry-leading salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. The most forward-thinking engineers in the world do their life’s work at NVIDIA. If you're creative and autonomous, with a real passion for technology, we want to hear from you!

#LI-Hybrid

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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