Member of Technical Staff - GPU Infrastructure
- Location
- San Francisco, CA · On-site
- Job type
- Full-time
- Level
- Senior
- Listed
- 23 days ago
Skills & highlights for this role
- bare-metal provisioning
- GPU scheduling and orchestration
- Terraform
- CUDA
- cloud-init
Also useful
- InfiniBand
- RoCE
- Ceph
- distributed storage
About the Role
We're seeking a very senior Infrastructure Engineer to help build and scale Hyperbolic's GPU Cloud Marketplace, by building a multi-tenancy provisioning and virtualization solution. This is a foundational role where you'll be responsible for transforming raw GPUs from diverse global suppliers into a programmable, orchestrated pool that serves thousands of AI developers and researchers. You'll work at the cutting edge of cloud infrastructure, building the core orchestration layer that enables our platform to deliver up to 75% cost savings compared to traditional cloud providers.
Who You Are
- Deep understanding of bare-metal provisioning and lifecycle management, including IPMI/Redfish, BMC-based remote management, PXE boot, and automated OS deployment workflows
- Deep understanding of GPU scheduling and orchestration, including GPU type awareness, memory management, topology considerations, placement strategies for multi-GPU jobs, and fragmentation minimization
- Strong infrastructure and DevOps engineering skills with proficiency in Terraform or Pulumi, CI/CD for infrastructure, secrets management, configuration management, and observability stack implementation
- Experience with storage and data infrastructure for AI/ML workloads, including object storage, high-IOPS block storage, and distributed file systems for training data and checkpoints
- Proficiency with API design and cloud-init for automated provisioning and configuration
- Solid understanding of GPU architecture, CUDA, and GPU compute optimization
- Highly collaborative team player with excellent communication skills across technical and non-technical stakeholders
- Proven ability to work effectively with hardware vendors and vendor engineering teams to troubleshoot issues and optimize integrations
- Experience building and scaling cloud infrastructure or distributed systems in production environments
Preferred Qualifications
- Familiarity with high-performance networking technologies such as InfiniBand and RoCE (RDMA over Converged Ethernet)
- Experience with distributed storage systems such as Ceph, Weka, or VAST Data
Who We Are
Hyperbolic Labs is on a mission to democratize AI by breaking down the barriers to computing power with our Open-Access AI Cloud. By making better use of idle computing resources across the globe, we offer an innovative GPU marketplace and AI inference service that promise affordability and accessibility for all.
As pioneers at the intersection of AI and open-source technology, we believe in an open future where AI innovation is limited only by imagination, not by access to resources. We're looking for forward-thinking individuals who share our passion for making AI universally accessible, secure, and affordable. Join us in building a platform that empowers innovators everywhere to turn their visionary AI projects into reality.
Equal opportunity and legal notices
Hyperbolic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
From Hyperbolic's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
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Common questions
Where is the Member of Technical Staff - GPU Infrastructure job at Hyperbolic located?
This Member of Technical Staff - GPU Infrastructure position at Hyperbolic is located in San Francisco, CA (On-site). Always check Hyperbolic's application page for specific state eligibility or relocation policies.
What qualifications are required for Member of Technical Staff - GPU Infrastructure at Hyperbolic?
For the Member of Technical Staff - GPU Infrastructure role, Hyperbolic highlights experience with bare-metal provisioning, GPU scheduling and orchestration, Terraform, CUDA, cloud-init. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Member of Technical Staff - GPU Infrastructure position at Hyperbolic?
This listing links directly to Hyperbolic's Ashby application page. You can apply directly on Hyperbolic's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.