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Open nowPosted 18 hours ago

Software Engineer, Distributed Systems

Thinking Machines Lab55 open roles

Where
San Francisco
Work mode
On site
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Your applicationOpen nowSoftware Engineer, Distributed SystemsThinking Machines Lab · San Francisco

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Thinking Machines Lab postings stay open a median of 19 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 18 hours ago

Thinking Machines Lab median: 19 days open

The posting

ABOUT THINKING MACHINES

The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.

ABOUT THE ROLE

We're hiring a Software Engineer, Distributed Systems to design and build the core distributed systems that everything else at Thinking Machines runs on — orchestration, scheduling, storage, and networking across thousands of machines. Your work underpins both Inkling's training clusters and Tinker's serving platform, and shows up anywhere we need software to coordinate reliably at scale.

This is deep systems work. You'll be reasoning about consensus, fault tolerance, and performance under real-world failure conditions, often on problems that don't have an off-the-shelf solution.

WHAT YOU'LL DO

- Design and build distributed systems for compute orchestration, scheduling, storage, and networking across large GPU and TPU clusters

- Develop fault-tolerant systems that keep running correctly as hardware fails, networks partition, and workloads scale

- Build the distributed storage and data orchestration layers that move and persist large volumes of training and model data

- Improve the performance and efficiency of collective communication, scheduling, and resource allocation across thousands of machines

- Partner with research and infrastructure teams to identify systems bottlenecks and design solutions from first principles

- Write production-quality code and help shape the architecture of systems used company-wide

SKILLS & QUALIFICATIONS

MINIMUM QUALIFICATIONS

- 5+ years of experience building large-scale distributed systems

- Proficiency in Python and Go, C++, or another systems-level language

- Strong understanding of distributed systems fundamentals: consensus, consistency, replication, and fault tolerance

- Experience with network programming, load balancing, or distributed storage systems

PREFERRED QUALIFICATIONS

- Experience building distributed compute or orchestration systems for AI or ML workloads

- Fluent in containerization, orchestration, and distributed compute frameworks

- Experience with specialized hardware (GPUs, TPUs) and their integration into distributed training or serving systems

- Background at AI research labs, high-performance computing centers, or similarly demanding environments

- Published work or open-source contributions related to distributed systems or performance engineering

- Comfortable operating with high autonomy in a fast-changing, early-stage environment

LOGISTICS

- Location: This role is based in San Francisco, CA.

- Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $300,000 - $400,000 USD.

- Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.

- Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

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