ML Infrastructure Engineer — Scale Frontier LLMs on GPUs

Harrison Clarke; San Francisco (CA); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Strong equity package

Job summary

Stealth Frontier AI Lab in the Bay Area is seeking a Member of Technical Staff to push the boundaries of frontier models and scale AI systems in production. You will architect and optimize large-scale LLM workloads on GPU clusters, enabling advanced training and inference performance for state-of-the-art models.

The role emphasizes developing test-time learning, agentic reasoning, and long-horizon evaluations, with hybrid work in the Bay Area and strong equity package in place.

Responsibilities

• Architect and optimize large-scale LLM workloads on GPU clusters.
• Develop test-time learning systems and agentic setups.
• Evaluate intelligence, reliability and long-horizon reasoning.
• Deploy production AI systems at scale.

Skills

LLMs

GPU clusters

Large-scale workloads

Model evaluation

Tools

GPU clusters

Job description

Stealth Frontier AI Lab in the Bay Area is seeking a Member of Technical Staff to push the boundaries of frontier models and scale AI systems in production. You will architect and optimize large-scale LLM workloads on GPU clusters, enabling advanced training and inference performance for state-of-the-art models.

The role emphasizes developing test-time learning, agentic reasoning, and long-horizon evaluations, with hybrid work in the Bay Area and strong equity package in place.