Connectionism: Research Blog by Thinking Machines Lab. Backed by a16z, Accel and GV.
About the role
We're hiring a Software Engineer, Infrastructure to design and build the distributed systems that power our model training and serving platforms. You'll 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. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
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.
We're hiring a Software Engineer, Infrastructure to design and build the distributed systems that power our model training and serving platforms. You'll 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. You'll 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.
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...
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