Staff Engineer, Evaluation Infrastructure for LLMs

Maven Ventures; Palo Alto (CA); On-site; USD 180,000 - 440,000; Full time

Benefits offered by this job

Equity stake

Job summary

SpaceXAI is seeking an engineer to help develop our evaluation infrastructure, building reliable, scalable systems that run all evaluations and support training next-generation models.

You will collaborate with modeling and evaluation teams, optimize performance across inference and capacity management, and deliver internal tooling to accelerate research while maintaining signal quality.

Qualifications

• Experience in building, debugging, and optimizing efficiency of large-scale distributed systems.
• Willingness to dive deep and solve hard problems at all levels of the stack.
• Experience in LLM inference.
• Experience in GPU compute management, workload scheduling, and dynamic resource optimization.
• Experience in developing interfaces for comparing models and evals.

Responsibilities

• Build highly reliable, efficient, and easy to use infrastructure that runs all our evaluations at scale
• Collaborate closely with modeling & evaluation teams on developing new evals, maintaining evaluation signal quality, and building internal tooling to support training our next-generation of models
• Identify and resolve performance bottlenecks in all layers of the eval infrastructure stack, including inference, capacity fleet management, asynchronous eval orchestration, and more

Skills

Large-scale distributed systems

Problem solving

LLM inference

GPU workload scheduling

Model evaluation interfaces

Tools

LLM inference

GPU workload scheduling

Model evaluation interfaces

Job description

SpaceXAI is seeking an engineer to help develop our evaluation infrastructure, building reliable, scalable systems that run all evaluations and support training next-generation models.

You will collaborate with modeling and evaluation teams, optimize performance across inference and capacity management, and deliver internal tooling to accelerate research while maintaining signal quality.