Senior ML Infra Engineer: GPU-Optimized Kubernetes Platform

Hamilton Barnes Associates Limited; San Francisco (CA); On-site; USD 225,000 - 275,000; Full time

Benefits offered by this job

Stock options

Job summary

Hamilton Barnes Associates Limited is seeking a Senior ML Infrastructure Engineer to help build and scale Kubernetes-based machine learning platforms. This role focuses on workload orchestration, GPU scheduling, and ensuring system reliability, working with highly technical teams in the AI space.

The ideal candidate will have a strong ML engineering background, as well as hands-on experience with both training and inference infrastructure. The position offers a competitive salary and stock options.

Qualifications

• Strong ML engineering background with hands‑on experience supporting both training and inference infrastructure.
• Experience with infrastructure engineering, platform engineering, or software engineering environments.
• Deep experience with Kubernetes, including operators and GPU scheduling.

Responsibilities

• Build and scale internal ML infrastructure platforms focused on AI training and inference workloads.
• Develop systems for workload orchestration and job scheduling across Kubernetes environments.
• Collaborate with infrastructure teams to maximise GPU utilisation and operational reliability.

Skills

ML engineering background

Experience with Kubernetes

Strong programming skills in Python

Linux operating skills

CI/CD pipeline experience

Distributed systems design

Job description

Hamilton Barnes Associates Limited is seeking a Senior ML Infrastructure Engineer to help build and scale Kubernetes-based machine learning platforms. This role focuses on workload orchestration, GPU scheduling, and ensuring system reliability, working with highly technical teams in the AI space.

The ideal candidate will have a strong ML engineering background, as well as hands-on experience with both training and inference infrastructure. The position offers a competitive salary and stock options.