Staff Engineer, Evaluation Infrastructure

Spacex; Palo Alto, Northern (CA, KY); Hybrid; USD 180,000 - 440,000; Full time

Benefits offered by this job

Equity

Medical coverage

Dental coverage

Vision coverage

401(k)

Disability insurance

Life insurance

Discounts and perks

Job summary

SpaceXAI in Palo Alto seeks a Member of Technical Staff to help build and scale evaluation infrastructure for next-generation AI models. The role requires hands-on engineering to deliver reliable tools that run extensive evaluations efficiently and at scale.

You will collaborate with modeling and evaluation teams, optimize performance across the stack, and tackle bottlenecks in inference, scheduling, and orchestration. Strong communication and deep problem-solving are essential.

Qualifications

• Experience building, debugging, and optimizing efficiency of large-scale distributed systems.
• Willingness to dive deep and solve hard problems at all levels of the stack.

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

Distributed systems

Debugging

Optimization

High-scale

Tools

LLM inference

GPU compute management

Workload scheduling

Job description

SpaceXAI in Palo Alto seeks a Member of Technical Staff to help build and scale evaluation infrastructure for next-generation AI models. The role requires hands-on engineering to deliver reliable tools that run extensive evaluations efficiently and at scale.

You will collaborate with modeling and evaluation teams, optimize performance across the stack, and tackle bottlenecks in inference, scheduling, and orchestration. Strong communication and deep problem-solving are essential.