Senior AI Infra Platform Engineer - GPU Scale (Equity)
Hamilton Barnes Associates Limited
San Francisco (CA)
On-site
USD 300,000 - 350,000
Full time
14 days+
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Benefits offered by this job
Equity
Job summary
A stealth-mode startup is seeking a Senior Infrastructure Product Engineer to architect large-scale GPU platforms for training and inference. The candidate will build automation frameworks and identify systemic bottlenecks. The ideal applicant should have over 7 years of experience in relevant engineering roles, with expertise in Kubernetes and High Performance Computing. This is a unique opportunity to influence how AI infrastructure is built. The position offers a salary range of $300,000 to $350,000 per year with equity benefits.
Qualifications
7+ years of experience in Infrastructure Engineering, Platform Engineering, SRE, or Systems Architecture roles.
Proven experience designing and operating large-scale GPU or HPC platforms.
Deep hands-on expertise with Kubernetes and Slurm, including scheduler behaviour and workload optimisation.
Responsibilities
Architect and evolve large-scale GPU platforms to support training, inference, and emerging AI workloads.
Build scalable automation frameworks for provisioning, scheduling, and lifecycle management.
Identify systemic bottlenecks across compute, network, and storage layers.
Skills
Infrastructure Engineering
Platform Engineering
SRE
Systems Architecture
Kubernetes
Linux systems
Python
Go
Bash
Observability platforms
Job description
A stealth-mode startup is seeking a Senior Infrastructure Product Engineer to architect large-scale GPU platforms for training and inference. The candidate will build automation frameworks and identify systemic bottlenecks. The ideal applicant should have over 7 years of experience in relevant engineering roles, with expertise in Kubernetes and High Performance Computing. This is a unique opportunity to influence how AI infrastructure is built. The position offers a salary range of $300,000 to $350,000 per year with equity benefits.