GPU Infra Engineer: Scale Massive Clusters & Observability

Exa; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A cutting-edge tech company in San Francisco seeks infrastructure engineers to enhance the tooling and systems that power its AI applications. Responsibilities include building GPU orchestration, scaling cloud batchjob systems, and designing efficient scheduling software. Candidates should have experience with large-scale infrastructure and a strong focus on reliability and observability. This position is in-person, and international sponsorship is available.

Qualifications

• Experience with large-scale infrastructure, such as GPU clusters or cloud batchjob systems.
• Obsessive focus on reliability, observability, and optimization.

Responsibilities

• Build GPU cluster orchestration.
• Scale AWS batchjob systems to handle extensive jobs.
• Design GPU scheduling software for maximum utilization.
• Develop observability tooling for production systems.

Skills

Designing and operating large-scale infrastructure

Reliability and observability mindset

Optimization across the entire stack

Tools

Kubernetes

AWS batchjob systems

GPU scheduling software

Job description

A cutting-edge tech company in San Francisco seeks infrastructure engineers to enhance the tooling and systems that power its AI applications. Responsibilities include building GPU orchestration, scaling cloud batchjob systems, and designing efficient scheduling software. Candidates should have experience with large-scale infrastructure and a strong focus on reliability and observability. This position is in-person, and international sponsorship is available.