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full-timeCopy Of Research Scientist / Engineer – Training Infrastructure
Lumaai · London, UK
You'll build the distributed systems that train Luma's large-scale multimodal models across thousands of GPUs, so researchers can focus on innovation on top of reliable, efficient, scalable infrastructure. This is hard PyTorch, CUDA, and distributed-systems work — advanced parallelism, training stability, and utilization across massive clusters. It fits an engineer who's solved real problems training foundation models at scale. If you haven't worked at the level of FSDP and multi-node training, this is the wrong depth. What You'll Own Design, implement, and optimize efficient distributed training systems for models across thousands of GPUs. Research and implement advanced parallelization (FSDP, Tensor Parallel, Pipeline Parallel, Expert Parallel). Build monitoring, visualization, and debugging tools for large-scale training runs. Optimize training stability, convergence, and resource utilization across massive clusters. First 90 Days One way the first 90 could unfold. Days 1–30 — Immerse & Diagnose: Learn the current training stack and where stability and utilization hurt at scale. Days 30–60 — Ship & Validate: Land a parallelization or stability improvement that measurably helps a real training run. Days 60–90 — Scale & Systemize: Build the monitoring and tooling that keeps large runs reliable and efficient. What You Bring Extensive distributed PyTorch training and parallelisms in foundation-model training. Deep understanding of GPU clusters, networking, and storage systems. Familiarity with communication libraries (NCCL, MPI) and distributed-system optimization. Nice to Have Strong Linux systems administration and scripting. Experience managing training runs across 100+ GPUs. Experience with containerization, orchestration, and cloud infrastructure. About Luma: Luma's mission is to build unified general intelligence that can generate, understand, and operate in the physical world. We believe multimodality is critical for intelligence — the next step beyond language models comes from vision. Luma is an equal opportunity employer. Find Jobs in United Kingdom on Arbeitnow
| Role | Copy Of Research Scientist / Engineer – Training Infrastructure |
|---|---|
| Company | Lumaai |
| Location | London, UK |
| Type | full-time |
| Compensation | Not disclosed |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
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