Senior ML Infra Architect — Large-Scale GPU Training

Hark, Inc.; San Jose (CA); On-site; USD 180,000 - 450,000; Full time

Job summary

Hark, Inc. is seeking a Member of Technical Staff, Infrastructure Compute in San Jose, California to lead the development of large-scale GPU computing clusters. The ideal candidate should have significant experience in systems engineering and machine learning.

Your responsibilities will include designing Infrastructure as Code, optimizing deployment pipelines, and collaborating with ML researchers. A competitive salary range of $180,000 - $450,000 is offered, reflecting your expertise in this vital role.

Qualifications

• 5+ years of experience in infrastructure, systems, or platform engineering.
• At least 2 years working in ML or HPC environments.
• Demonstrated experience managing GPU clusters.

Responsibilities

• Design, implement, and maintain Infrastructure as Code (IaC) best practices.
• Enhance and harden CI/CD deployment pipelines.
• Monitor system health and define SLOs.

Skills

Infrastructure engineering

Systems engineering

Machine learning infrastructure

GPU clusters

Networking fundamentals

Education

5+ years experience in relevant field

Tools

Kubernetes

Pulumi

Rust

Go

PyTorch

Ray

Job description

Hark, Inc. is seeking a Member of Technical Staff, Infrastructure Compute in San Jose, California to lead the development of large-scale GPU computing clusters. The ideal candidate should have significant experience in systems engineering and machine learning.

Your responsibilities will include designing Infrastructure as Code, optimizing deployment pipelines, and collaborating with ML researchers. A competitive salary range of $180,000 - $450,000 is offered, reflecting your expertise in this vital role.