CoreWeave
Senior Specialist Field Engineer - Compute Infrastructure
$188K–$275K
Sunnyvale, CA / San Francisco, CA / Bellevue, WA +3 · Senior · Full-time · Posted Jun 11, 2026
- Location
- Sunnyvale, CA / San Francisco, CA / Bellevue, WA
Bellevue, WA
San Francisco, California, United States
Sunnyvale, California, United States - Experience
- 7+ years; no stated alternative.
- Education
- B.S. in Computer Science or a related technical discipline, or equivalent experience.
- Visa sponsorship
- Applicants must be a U.S. person, eligible to access export-controlled information without export authorization, or eligible and reasonably likely to obtain the required U.S. government export authorization. CoreWeave may decline to pursue export licensing for legitimate business reasons.
About the job
Leads customer-facing delivery of bare-metal compute infrastructure, from facility and rack design through GPU cluster validation, operations, and production readiness.
What you'll do
- Serve as the primary technical contact and lead customer technical meetings, workshops, and proof-of-concept initiatives.
- Lead GPU cluster bring-up, acceptance, fabric validation, and HPC performance benchmarking; resolve hardware, firmware, and network issues.
- Define bare-metal fleet operating models and coordinate infrastructure readiness with operations and networking teams.
What they ask for
- B.S. in Computer Science or a related technical discipline, or equivalent experience.
- 7+ years in solutions architecture, field engineering, infrastructure/systems engineering, or technical account management in cloud infrastructure, distributed systems, or HPC/cloud services.
- Experience with rack-scale GPU server hardware, high-speed interconnects, and firmware/BMC/BIOS.
- Hands-on large GPU cluster bring-up and operation; Linux administration, networking fundamentals, and integration with Kubernetes or Slurm.
Nice to have
- Experience with security-sensitive, air-gapped, or locked-down environments; bare-metal automation using Python, Bash, Ansible, or similar.
- Experience designing AI supercomputers from MEP designs, delivering infrastructure at scale, or working across multi-cloud or hybrid environments.
Pay
$188,000 to $275,000 USD (base salary)
Tools
NVIDIA HGX, GB200/GB300, Vera Rubin NVL72, InfiniBand, RoCE, NVLink, Kubernetes, Slurm
AI focus
Delivers and validates large-scale GPU compute infrastructure for AI training and inference, including AI supercomputers and strategic customer environments.
Model-written summary · the original posting is authoritative