FewerJobs.
All jobs

Distributed Training Engineer

Periodic Labs - Menlo Park, Remote, Menlo Park, California, USA

Posted Sep 24, 2025

Benefits

Parental leave
Not verified
Non-birth-parent leave
Not verified
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
Not verified
Relocation assistance
Not verified
Childcare support
Not verified
Learning budget
Not verified
Verification
Not verified
Salary
Not verified
401(k) match
Not verified

Was this benefit information wrong? Tell us.

Schedule

Shift type
Not verified
Weekend work
Not verified

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Distributed Training Engineer Menlo Park, Remote, Menlo Park, California, USA About Periodic Labs We are an AI + physical sciences lab building state of the art models to make novel scientific discoveries. We are well funded and growing rapidly. Team members are owners who identity and solve problems without boundaries or bureaucracy. We eagerly learn new tools and new science to push forward our mission. About the role You will optimize, operate and develop large-scale distributed LLM training systems that power AI scientific research. You will work closely with researchers to bring up, debug, and maintain mid-training and reinforcement learning workflows. You will build tools and directly support frontier-scale experiments to make Periodic Labs the world's best AI + science lab for physicists, computational materials scientists, AI researchers, and engineers. You will contribute open-source large scale LLM training frameworks. You might thrive in this role if you have experience with: - Training on clusters with ≥5,000 GPUs - 5D parallel LLM training - Distributed training frameworks such as Megatron-LM, FSDP, DeepSpeed, TorchTitan - Optimizing training throughput for large scale Mixture-of-Expert models

Read the full description at jobs.ashbyhq.com. FewerJobs shows a source-linked preview and links to the original posting.

Apply at jobs.ashbyhq.com

Apply link not verified; last-live date unavailable.

What verified means

Verified means a displayed claim has a recorded source field, a source URL when available, and a timestamp showing when FewerJobs checked or enriched the evidence.

Related jobs