Thinking Machines Lab
Site Reliability Engineer, Production
$300K–$350K
San Francisco +1 · On-site · Full-time · Posted Aug 31, 2026
- Location
- San Francisco
New York - Experience
- Experience is required in distributed systems, cloud infrastructure, or site reliability engineering; no number of years is specified.
- Education
- Bachelor's degree or equivalent experience in computer science, engineering, or similar.
- Visa sponsorship
- Visa sponsorship is offered; success is not guaranteed for every candidate or role.
About the job
Own and improve end-to-end reliability for Tinker, a fine-tuning API, including distributed training infrastructure, monitoring, incident response, and recovery.
What you'll do
- Define reliability practices and service-level objectives, and build monitoring and observability across the training path.
- Lead incident response, postmortems, and systematic improvements to prevent recurrence.
- Improve multi-tenant isolation and resource scheduling, and collaborate with security teams on production vulnerabilities.
What they ask for
- Bachelor's degree or equivalent experience in computer science, engineering, or similar.
- Experience in distributed systems, cloud infrastructure, or site reliability engineering.
- Proficiency writing software, including tooling and automation, to solve reliability problems.
- Experience with production incident response, postmortems, and systematic reliability improvement.
Nice to have
- Experience operating production cloud services at scale, or with distributed training frameworks and training-system failures.
- Experience building checkpoint and recovery systems for long-running distributed jobs, or operating Kubernetes clusters with heterogeneous GPU workloads.
Pay
$300,000- $350,000 USD (annual base salary)
Tools
Tinker, CI/CD, LoRA, Kubernetes
AI focus
Improve reliability and scheduling for distributed training workloads on Tinker, a fine-tuning API for customizing frontier AI.
Model-written summary · the original posting is authoritative