System Infrastructure​/Platform Engineer, HPC Technology Department

System Infrastructure / Platform Engineer

The National Energy Research Scientific Computing Center (NERSC) is seeking a System Infrastructure / Platform Engineer to help build and manage HPC systems and Linux-based infrastructure. NERSC operates some of the world's largest supercomputers, supporting thousands of researchers tackling major scientific challenges.

In this role, you will manage high-performance computing environments, including HPC systems, containers, virtual machines, and core infrastructure services. You'll work with cutting-edge technologies such as CPU/GPU clusters, parallel storage, high-speed networking, Slurm, and Kubernetes, balancing innovation with reliability, performance, and security at scale.

Collaborating with engineers, researchers, vendors, and open-source communities, you will help develop scalable solutions that advance scientific discovery and the future of HPC. If you have Linux experience, an interest in science, and enjoy fast-paced collaborative environments, NERSC would love to hear from you.

We're here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!

Why join Berkeley Lab?

We invest in our employees by offering a total rewards package you can count on:

• Exceptional health and retirement benefits, including pension or 401K-style plans
• Opportunities to grow in your career - check out our Tuition Assistance Program
• A culture where you'll belong - we are invested in our teams!
• In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
• Parental bonding leave (for both mothers and fathers)
• Pet insurance

What You Will Do if hired at a Level 3:

• Build and manage Linux systems and storage infrastructure
• Troubleshoot complex technical issues with team members
• Install, upgrade, and secure systems and services
• Develop and maintain scripts and automation tools
• Participate in a 24/7 on-call rotation
• Lead small projects, upgrades, and service rollouts
• Collaborate with vendors to improve technologies and user experience
• Support reliable operations of NERSC's Perlmutter supercomputer and Spin Kubernetes platform
• Develop and integrate services across NERSC and DOE facilities, including the upcoming Doudna supercomputer
• Present technical work to the HPC community at conferences and industry events

In Additional Responsibilities if hired at a Level 4:

• Solve complex technical problems with independent judgment
• Develop team strategies and project plans
• Provide technical leadership and mentorship
• Lead system improvements for performance, reliability, and security
• Evaluate emerging HPC technologies and capabilities
• Represent NERSC in HPC and DOE technical communities and advocacy groups

What is Required to be hired at a Level 3:

• Typically, 8+ years of related experience with a Bachelor's degree; alternatively, 6+ years with a Master's degree; or equivalent career experience
• 4+ years of experience managing large-scale Linux-based system deployments in a high-performance computing, cloud computing, or hyper-scale environment
• Mastery of Linux concepts and operations (processes, networking, system logs, performance)
• Proficiency with bash and Python scripting
• Experience with some or all of our key technologies:
• containers (such as Docker or Kubernetes)
• virtualization (such as Proxmox or VMware)
• cloud-based deployment (such as AWS, Azure or GCP)
• identity and access management
• database administration, tuning, and troubleshooting
• storage systems technologies (such as iSCSI and NAS appliances)
• parallel file systems (such as Lustre, GPFS, or VAST)
• high-speed networking/interconnect (such as Infini Band, Slingshot, or RoCE)
• advanced performance analysis and debugging tools (such as strace, lsof, ebpf, or gdb)
• Dev Ops tools (such as Gitlab or Jira) and processes (such as issues, merge requests, and API/automation)
• Familiarity with automated provisioning systems (such as Chef, Foreman, or Terraform)
• Familiarity with configuration management systems (such as Ansible or Puppet)
• Working knowledge of Linux…