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# Software Engineer, Infrastructure

- **Company:** Thinking Machines Lab Inc.
- **Location:** New York, NY, United States
- **Salary:** $300,000.0 - $350,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Systems, Software Debugging, Distributed Data Store, Distributed Systems, Fault Tolerance, Job Scheduling, Python (Programming Language), Open Source Technology, Reliability Engineering, Software Engineering, Build Management, Kubernetes, Machine Learning Operations
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-infrastructure-new-york-ny--4d416e80-6331-41d7-8bc6-0c35ab7f6f4b

## About the Role

Software Engineering, Artificial Intelligence (AI), Software Engineering, Distributed Computing, Technical Recruiting, Startup, System Operations, Large-Scale Systems, Resource Management, Reliability Engineering, * Demonstrated expertise designing and developing large-scale distributed systems

 * Strong proficiency in Python and Go
 * Experience building, deploying, and operating production infrastructure at scale
 * Solid grounding in distributed systems fundamentals, such as consensus, consistency, fault tolerance, and networking, * Experience with ML infrastructure, such as training orchestration, job schedulers, or distributed storage and data systems
 * Experience operating large-scale GPU or TPU clusters
 * Experience with container orchestration (e.g. Kubernetes) and infrastructure-as-code
 * Contributions to open-source infrastructure projects
 * Comfortable working with high autonomy in a fast-changing, early-stage environment

## Description

Were hiring a Software Engineer, Infrastructure to design and build the distributed systems that power our model training and serving platforms. Youll work on the systems underlying everything we do - from the clusters that train our frontier models with Inkling, to the multi-tenant serving infrastructure behind Tinker.

This is a foundational infrastructure role at a fast-moving startup. Youll have real ownership over systems that run at large scale, and your work will directly determine how quickly our research and product teams can iterate.

What Youll Do

 * Design, build, and operate distributed systems that support large-scale model training and inference across thousands of accelerators
 * Build and maintain core infrastructure, including orchestration, scheduling, storage, and resource management systems
 * Improve the reliability, performance, and observability of infrastructure used across research and product teams
 * Partner with researchers and platform engineers to understand infrastructure needs and turn them into robust, well-abstracted systems
 * Debug and resolve complex distributed failures across the stack, from networking and storage to compute and scheduling
 * Write and maintain internal libraries and APIs, primarily in Python and Go, that other engineers build on