Goodfire
Platform Engineer
$200K–$400K
San Francisco, CA +1 · Full-time · Posted Jun 9, 2026
- Location
- San Francisco, CA
San Francisco, California, United States - Experience
- 2+ years of experience building and operating production software.
About the job
Build and operate shared infrastructure and services that enable Goodfire’s researchers and engineers to run interpretability experiments, work with model data, and bring capabilities into production.
What you'll do
- Build shared services and APIs for launching work, accessing data, and retrieving results; support long-running experiments and model workloads.
- Develop pipelines and storage interfaces for datasets, model activations, checkpoints, and evaluation results, with provenance and reproducibility.
- Improve platform deployment, observability, performance, failure recovery, and developer experience.
What they ask for
- Strong backend or systems engineering fundamentals, with depth in distributed systems, data infrastructure, cloud infrastructure, or developer tooling.
- Experience owning a service or infrastructure component through development, deployment, and ongoing operation.
- Ability to debug failures and reason about performance, reliability, and maintainability across system boundaries.
- Comfort translating evolving research and engineering needs into practical technical solutions.
Nice to have
- Experience supporting ML training, inference, evaluation, or research workflows.
- Experience with job orchestration, GPU workloads, large-scale data processing and storage, or shared infrastructure and developer tools.
Pay
$200,000–$400,000 USD (base salary)
AI focus
Build platform infrastructure for AI interpretability research, including systems for model analysis, training, inference, monitoring, and experiment workflows.
Model-written summary · the original posting is authoritative