Eda Infrastructure Engineer

at Nvidia

📍 Durham, United States

$148,000-276,000 per year

SENIOR
✅ On-site

SCRAPED

Used Tools & Technologies

Not specified

Required Skills & Competences ?

Security @ 4 Ansible @ 4 Jenkins @ 4 Python @ 4 Communication @ 4 Networking @ 4 Perl @ 4 Data Analysis @ 6 Debugging @ 7 API @ 3

Details

NVIDIA has continuously reinvented itself over two decades. Our invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing. NVIDIA is a "learning machine" that constantly evolves by seeking new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work, to amplify human creativity and intelligence. Make the choice to join us today!

Responsibilities

  • Develop automation in order to scale infrastructure easily and reliably.
  • Use broad IT infrastructure skills to implement infrastructure innovations which accelerate chip development.
  • Design and implement network architecture, storage solutions, virtualization, and services specific to EDA workflows.
  • Work closely with EDA teams to understand their requirements and translate them into infrastructure solutions.
  • Work in a diverse team performing fast paced investigations to empower engineers to develop at the speed of light.
  • Collaborate to improve how our chip development process utilizes our infrastructure.
  • Directly contribute to the overall quality and improve time to market for our next generation chips.

Requirements

  • Experience with automation workflows such as Ansible and Jenkins.
  • UNIX Systems programming and automation using industry standard languages and familiar with API calls. Python experience preferred.
  • Authoritative level usage of UNIX and UNIX CLI utilities such as sed, awk, grep.
  • Hands on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on.
  • Understanding of distributed UNIX system concepts such as NFS, autofs, DNS, LDAP and/or NIS.
  • Excellent planning and communication skills and a passion for improving the productivity and efficiency of other specialists.
  • Strong experience investigating and debugging complex, multi-discipline problems in a UNIX environment.
  • 5+ years experience in a large, distributed UNIX environment.
  • History of using data analysis principles and influencing data-driven decisions.
  • MS (preferred) or BS in Computer Science, similar degree or equivalent experience.

Ways to stand out from the crowd:

  • Extensive knowledge with job schedulers (in particular IBM Spectrum LSF and/or SLURM).
  • Experience with perl.
  • Deep understanding of distributed system principles.
  • Experience with chip design workflows, such as front end verification, back end workflows, or mixed signal workflows.
  • Experience in crafting solutions that balance security and productivity for the end user.