Lead AI Systems Engineer — Scale Core ML & GPU Clusters

Transluce; San Francisco (CA); On-site; USD 350,000 - 600,000; Full time

Job summary

Transluce, a fast-moving research lab in San Francisco, is seeking an exceptional AI systems engineer to lead the design and development of our core ML stack, building scalable systems that can leverage thousands of GPUs and handle trillion-token databases.

As an early member of a highly collaborative team, you will move fast, innovate from the ground up, and deliver high-impact tooling with cross-organizational reach, including open-source components that support AI evaluation and public policy

Qualifications

• Expert Python programmer with GPU/parallel programming experience.
• Experience engineering distributed systems at scale.
• Leadership in code health and team impact.
• Familiarity with LLM pipelines and AI tooling.

Responsibilities

• Set overall code culture and tooling for a fast-growing org.
• Address core infra challenges across verticals (Docent, Interpretability, RL).
• Build internal tools to speed up the team and improve reliability.
• Help shape best practices for infra decisions and path-setting.

Skills

Python

Distributed systems

GPU programming

Code quality

Leadership

LLM pipelines

Job description

Transluce, a fast-moving research lab in San Francisco, is seeking an exceptional AI systems engineer to lead the design and development of our core ML stack, building scalable systems that can leverage thousands of GPUs and handle trillion-token databases.

As an early member of a highly collaborative team, you will move fast, innovate from the ground up, and deliver high-impact tooling with cross-organizational reach, including open-source components that support AI evaluation and public policy