Groq
Storage Engineer, Deployment & Support
$270K–$402K
San Francisco, United States +2 · On-site · Full-time · Posted Oct 7, 2026
- Location
- San Francisco, United States
Dallas, United States
New York, United States - Experience
- 4+ years in storage engineering, systems engineering, network engineering, datacenter operations, or related infrastructure roles.
- Visa sponsorship
- For U.S. postings, candidates must qualify as U.S. Persons for export control purposes or be eligible for an applicable export license. For non-U.S. postings, candidates must meet relevant export control eligibility criteria.
About the job
Deploys, validates, operates, and maintains storage infrastructure supporting Groq’s large-scale AI/HPC workloads.
What you'll do
- Bring up, configure, validate, and hand off storage systems for production, coordinating onsite technicians and vendors.
- Monitor storage health and performance; troubleshoot failures and conduct root cause analysis across storage, Linux, networking, and hardware.
- Coordinate expansions, upgrades, maintenance, and operational tooling while maintaining deployment procedures and documentation.
What they ask for
- Hands-on experience deploying, operating, or troubleshooting storage systems in large-scale distributed or high-performance environments.
- Strong Linux administration, storage protocol, performance, and high-performance networking fundamentals.
- Experience with deployment or operational tooling using Python, Bash, Ansible, APIs, or similar technologies.
- Ability to travel to global datacenter locations.
Nice to have
- Experience with platforms such as VAST, WEKA, DDN, Lustre, Ceph, or comparable distributed storage solutions.
- Experience in storage engineering, systems engineering, network engineering, datacenter operations, or related infrastructure roles.
Pay
$270,400–$401,600 USD total cash salary (inclusive of potential bonus value)
Tools
VAST, WEKA, DDN, Lustre, Ceph, Linux, NFS, NFS over RDMA
AI focus
Deploys and supports high-performance storage infrastructure for AI/HPC workloads.
Model-written summary · the original posting is authoritative