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Software Engineer, Tinker Platform

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Software Engineer, Tinker Platform in USA

  • Thinking Machines Lab
  • Full time
  • Email
  • San Francisco, CA

Responsibilities

  • Design, build, and operate distributed systems for scheduling, resource orchestration, checkpointing, and fault recovery across large multi-node GPU clusters.
  • Own the reliability, latency, and throughput of live production systems serving concurrent training and sampling workloads.
  • Implement graceful degradation and fast recovery from node failures, preemptions, and network partitions.
  • Improve platform observability through metrics, tracing, and alerting.
  • Lead incident response, root-cause analysis, and durable remediation for owned systems.
  • Partner with research and ML infrastructure teams to evolve the platform for new training and sampling workloads.
  • Make build-versus-buy and architectural decisions for core infrastructure and mentor engineers on distributed-systems practices.

Requirements

  • 7+ years of experience building, running, and scaling distributed systems in production with direct on-call ownership of live services.
  • Deep understanding of consensus, consistency models, failure detection, scheduling, and state management under partial failure.
  • Demonstrated ability to design reliable systems at scale and diagnose and resolve production incidents under time pressure.
  • Strong systems-level coding ability in Python, Go, Rust, or C++ and comfort working close to the infrastructure layer.
  • Preferred: experience operating large-scale GPU or accelerator clusters, including orchestration, resource scheduling, or ML training infrastructure.
  • Preferred: familiarity with large-language-model training or inference stacks and fine-tuning or post-training systems demands.
  • Preferred: experience with checkpointing, distributed storage, or high-throughput networking such as RDMA and NCCL.
  • Preferred: experience building reliable and usable developer-facing infrastructure or APIs.
  • Preferred: experience driving platform-wide architectural decisions and operating autonomously in a fast-changing environment.

Benefits

  • Based in San Francisco, California.
  • Visa sponsorship is available.
  • Health, dental, and vision benefits are offered.
  • Unlimited paid time off and paid parental leave are offered.
  • Relocation support is available as needed.

Salary: $350k - $475k/yr

Thinking Machines Lab

Thinking Machines Lab pioneers advanced AI research, blending cutting‑edge theory with practical applications to solve complex problems across industries. Our interdisciplinary team pushes the boundaries of machine learning, neural architecture, and cognitive modeling to deliver innovative soluti...

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