AI Systems Engineer

Core responsibilities

• Set overall code culture and tooling for a fast-growing org
• Help to solve our core technical challenges across verticals. Examples include:
• Docent:
• High-concurrency container-based evals with quick ability to iterate on interventions to agentic trajectories
• Deterministic sandbox execution of code that can efficiently restore state from checkpoints
• Interpretability:
• Inference stacks that are as performant as vLLM but flexible enough to allow complex model introspection and intervention, steering, configurable sampling, etc., and that can scale to 400B+ parameter models
• Behavior elicitation:
• Distributed RL training and roll-outs allowing thousands of concurrent rollouts across machines
• Build great internal tools to speed up the team
• Help tone-set in the organization around best practices for building and path-set on what infra we should build
• Help other team members think through infra challenges

Qualities of a strong candidate

• Exceptional programmer fluent in Python
• Bare metal optimization: know GPUs, other accelerators in and out (low-level performance + optimization + parallel programming)
• Experience engineering at scale (distributed systems, reliability, architecture design)
• Leader on global code quality and health (designing good primitives, managing complexity and scale)
• Bonus: can set up LLM pipelines, e.g. multiple specialized LLMs interacting with each other in a performant and reliable way
• Bonus: experience with open-source community management

We are located in San Francisco and enthusiastic to work together in-person. We are open to sponsoring international visas.

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Transluce is an Equal Opportunity Employer committed to providing equal employment opportunities to all individuals. Our employment decisions are based solely on cultural fit, qualifications and team needs.

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Req ID: R11