Nvidia EDA Infrastructure Engineer 

United States, Texas 

33700389

What you’ll be doing:

• 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.

• Collaborate with system administrators, database administrators, and security experts to ensure seamless integration.

• Use broad IT infrastructure skills to implement infrastructure innovations which accelerate chip development

• Develop automation in order to scale infrastructure easily

• Work in a diverse team performing fast paced investigations to empower our engineers to develop at the speed of light.

• Collaborate with EDA teams to help continuously improve how our chip development process utilizes our infrastructure environment

• Architect security mechanisms to protect intellectual property

• Directly contribute to the overall quality and improve time to market for our next generation chips.

What we need to see:

• Strong experience investigating and debugging complex, multi-discipline problems in a UNIX environment

• Hands on experience with architectural decisions in technologies (storage, networking, compute) our chip engineers depend on

• Experience with automation workflows such as Ansible and Jenkins

• Understanding of distributed UNIX system concepts such as NFS, autofs, DNS, LDAP and/or NIS

• 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

• Excellent planning and communication skills and a passion for improving the productivity and efficiency of other specialists

• History of using data analysis principles and influencing data-driven decisions

• 4+ years experience in a large, distributed UNIX environment

• MS (preferred) or BS in Computer Science, similar degree or equivalent experience

Ways to stand out from the crowd:

• Experience with chip design workflows, such as front end verification, back end workflows, or mixed signal workflows

• Extensive knowledge with job schedulers (in particular IBM Spectrum LSF and/or SLURM)

• Hands-on experience running workloads in a batch computing environment

• Deep understanding of distributed system principles

• Experience in crafting solutions that balance security and productivity for the end user