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Distributed System Researcher Jobs (NOW HIRING)

Sieve

Distributed Systems Engineer

San Francisco, CA · On-site

Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in the growth of ... optimizing for system uptime • working with cloud technologies • optimizing hyper-fast ...

Real-Time Innovations

Research Engineer

Sunnyvale, CA · On-site +1

Innovate new solutions that will form the foundation of secure, adaptable, and fast distributed systems * Work with the business-development team to define research areas of interest and define ...

Real-Time Innovations

Research Engineer

Denver, CO · On-site +1

Innovate new solutions that will form the foundation of secure, adaptable, and fast distributed systems * Work with the business-development team to define research areas of interest and define ...

Real-Time Innovations

Research Engineer

Sunnyvale, CA · On-site

Innovate new solutions that will form the foundation of secure, adaptable, and fast distributed systems * Work with the business-development team to define research areas of interest and define ...

Real-Time Innovations

Research Engineer

Denver, CO · On-site

Innovate new solutions that will form the foundation of secure, adaptable, and fast distributed systems * Work with the business-development team to define research areas of interest and define ...

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How much do distributed system researcher jobs pay per year?

As of Sep 11, 2026, the average yearly pay for distributed system researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Distributed System Researcher job openings in the United States as of September 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Research Scientist / Engineer - Training Infrastructure

Redwood City, CA • On-site

Luma
Arts, Entertainment, and Recreation • 201 - 500 employees
Learn more about Lumaexternal

Full-time

Posted 21 days ago

Job description

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.
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About Luma

Sourced by ZipRecruiter

Industry

Arts, entertainment, and recreation

Company size

201 - 500 Employees

Headquarters location

Santa Monica, CA, US

Year founded

2002

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