GPU Platform Reliability Engineer

Beam; San Francisco (CA); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Meaningful equity

Health, dental, vision benefits

Fitness stipend

Learning budget

Events in cloud native community

Job summary

Beam is seeking a role-focused engineer to own the health and reliability of our GPU compute fleet in a fast-growing AI inference platform. You will build and own metrics pipelines, alerts, and a unified health view across thousands of GPUs in production.

You will automate deployment debugging, create a scalable firmware telemetry stack, and define the qualification process for new GPUs onboarded to our platform. Join Beam at the ground floor of a rapidly growing startup.

Qualifications

• Experience with firmware-level diagnostics and telemetry.
• Proven ability to design health dashboards.
• Experience with GPU compute hardware.

Responsibilities

• Own compute fleet health end to end with metrics pipelines and alerting.
• Automate deployment debugging from detection to triage.
• Design the GPU qualification platform including burn-in and performance baselining.
• Own firmware-level telemetry and log collection at scale.

Skills

Hardware fault analysis

Firmware debugging

GPU platforms

Open source

Tools

Telemetry pipelines

Logging at scale

CI/CD

Job description

Beam is seeking a role-focused engineer to own the health and reliability of our GPU compute fleet in a fast-growing AI inference platform. You will build and own metrics pipelines, alerts, and a unified health view across thousands of GPUs in production.

You will automate deployment debugging, create a scalable firmware telemetry stack, and define the qualification process for new GPUs onboarded to our platform. Join Beam at the ground floor of a rapidly growing startup.