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Research Scientist / Engineer – Training Infrastructure

Luma AIRedwood City, CAResearch & AI
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Salary
$195K – $395K
Job type
Full-time
Work mode
Remote
Experience
Senior
Posted
8 Oct 2026
Status
Open · checked 7d ago

About this role

Luma AI is hiring a full-time Research Scientist / Engineer – Training Infrastructure in Redwood City, CA, to build distributed systems for large-scale multimodal models, making this role ideal for engineers with proven experience training foundation models at scale. The professional joining this position will focus on creating reliable, scalable, and efficient infrastructure to support advanced artificial intelligence research.

Role Overview

This position involves building the distributed systems necessary to train large-scale multimodal models across thousands of GPUs. The work requires deep technical focus on PyTorch, CUDA, and distributed systems, emphasizing advanced parallelism, training stability, and hardware utilization in massive clusters.

Key Responsibilities

Architect, develop, and tune efficient distributed training systems capable of operating across thousands of GPUs.
Investigate and deploy advanced parallelization methods, including FSDP, Tensor Parallel, Pipeline Parallel, and Expert Parallel.
Create visualization, monitoring, and debugging utilities specifically for large-scale training sessions.
Enhance resource utilization, convergence, and training stability across massive cluster environments.

Requirements

Extensive background in distributed PyTorch training and parallelisms within foundation-model training.
Comprehensive knowledge regarding GPU clusters, storage systems, and networking.
Working knowledge of communication libraries such as NCCL and MPI, alongside distributed-system optimization.

Nice to Have

Proficiency in Linux systems administration and scripting.
Background in overseeing training runs that utilize more than 100 GPUs.
Familiarity with cloud infrastructure, orchestration, and containerization.

Skills and Tools

PyTorch
CUDA
FSDP
Tensor Parallel
Pipeline Parallel
Expert Parallel
NCCL
MPI
Linux

Salary and Benefits

The salary range is $195K to $395K with equity offers included.

About the Company

Luma AI operates with a mission to develop unified general intelligence capable of generating, understanding, and operating within the physical world, viewing vision-based multimodality as the crucial step beyond language models. The organization functions as an equal opportunity employer.

How to Apply

Interested candidates should apply directly on the official Luma AI careers page.

Skills and tech stack

Questions candidates ask

What is the location of the Research Scientist / Engineer – Training Infrastructure role?

The position is located in Redwood City, CA.

What technologies and frameworks are central to this position?

The role heavily utilizes PyTorch, CUDA, FSDP, Tensor Parallel, Pipeline Parallel, Expert Parallel, NCCL, and MPI.

What is the compensation package for this job?

The salary ranges from $195K to $395K and includes offers of equity.

What core objective does Luma AI pursue?

Luma AI aims to build unified general intelligence that can generate, understand, and operate in the physical world through multimodal intelligence.

Ready to apply?

The application is on the official Luma AI careers page.

Apply on company site