Senior Site Reliability Engineer - Infrastructure

About the position

As an SRE or with equivalent experience, you'll collaborate with various teams to improve our infrastructure environment within NVIDIA's Hardware Infrastructure team. You will enable our engineers to have the best environment on the planet to make the most innovative chips in the world. You will work with your team of EDA and software experts to build new infrastructure in an agile environment. You will continuously innovate and improve scalable, reliable, high performance systems and tools to enable the next generation of chips!

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.

Nice-to-haves

• 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.

Benefits

• Equity and benefits eligibility.