Luma
Luma

60 Luma Jobs Hiring Near You

You'll lead the team that owns Luma's entire inference serving stack - routing, scheduling, and fleet-wide orchestration across thousands of GPUs, multiple clouds, and hardware vendors - where all of ...

You'll turn Luma's industry-leading generative video models into world models: interactive, controllable, physically faithful, and useful as a substrate for embodied reasoning. This is the role at ...

Position Overview FDC Delivery leads Luma' forward-deployed creative team operations across the region. This team operates at the intersection of sales and client engagement, working directly with ...

You'll set technical direction for how products get built at Luma, directing AI coding agents to ship production systems fast while making the disciplined calls on scope, structure, and trade-offs.

As Luma's founding Robotics Engineer, you'll bring up commercial robot platforms - humanoids, arms, mobile bases - wire up the sensors and data pipelines our world models need, and run the ...

You'll own the reliability of Luma's 10k+ GPU fleet: the scheduling, efficiency, and resilience that research and products depend on. As a Staff AI Infrastructure Engineer, you'll be a technical ...

IOEM Administrative Specialist

Boise, ID · On-site

$24.56 - $27.83/hr

Luma does not allow edits after submitting your application Your application will be considered INCOMPLETE, if MQ, MR, and KSA questions are not provided. SUMMARY: This position is assigned to the ...

You'll be Luma's creative lead on the ground with major brands and agencies, turning what our models can do into production workflows they actually use. Sitting between the technology and the craft ...

Luma does not allow edits after submitting your application Your application will be considered INCOMPLETE, if MQ, MR, and KSA questions are not provided. SUMMARY: This position is assigned to the ...

Fire Dispatcher - OF&ES

Boise, ID · On-site

$19.83 - $22.48/hr

Luma does not allow edits after submitting your application Your application will be considered INCOMPLETE, if MQ, MR, and KSA questions are not provided. SUMMARY: These positions are assigned to the ...

Infra Reliability • SF Bay Area / Remote (US) You'll own the GPU infrastructure Luma's research and product run on - thousands of NVIDIA and AMD GPUs across on-prem and multi-cloud (AWS and OCI)

Senior Site Reliability Engineer

Redwood City, CA · On-site

$69.75 - $92.75/hr

About Luma AI Luma's mission is to build multimodal AI to expand human imagination and capabilities. We believe that multimodality is critical for intelligence. This requires a massive, reliable, and ...

Editor Los Angeles (Dream Lab) You will own how Dream Lab and Luma show up on the screens people actually watch. The social optimized cut. The behind-the-scenes reel from a shoot. The tutorial that ...

New

Luma does not allow edits after submitting your application Your application will be considered INCOMPLETE, if MQ, MR, and KSA questions are not provided. SUMMARY: This position is located in the ...

IOEM Mitigation Section Chief

Boise, ID · On-site

$36.35 - $41.21/hr

Luma does not allow edits after submitting your application Your application will be considered INCOMPLETE, if MQ, MR, and KSA questions are not provided. SUMMARY: This position is assigned to the ...

Facilities Maintenance Worker

Boise, ID · On-site

$22.11 - $25.05/hr

Luma does not allow edits after submitting your application Your application will be considered INCOMPLETE, if MQ, MR, and KSA questions are not provided. SUMMARY: This position is assigned to the ...

About the Role Luma is looking for a Growth Marketer to own the systems and experiences that turn interest into customers, and customers into more engaged, higher-value customers. You'll own the full ...

Showing results 21-40

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Infographic showing various job openings at Luma in the United States as of September 2026, with employment types broken down into 96% Full Time, and 4% Part Time. Highlights an 99% Physical, and 1% Remote job distribution.

Tech Lead Manager, Inference

Redwood City, CA • On-site

Luma
Arts, Entertainment, and Recreation • 201 - 500 employees

Full-time

Posted 23 days ago


Job description

You'll lead the team that owns Luma's entire inference serving stack - routing, scheduling, and fleet-wide orchestration across thousands of GPUs, multiple clouds, and hardware vendors - where all of Luma's compute meets all of its users. This is a hands-on tech-lead-manager role.
It's leadership by shipping: at least half your time stays hands-on in the serving stack, alongside hiring, growing the team, and setting technical direction. It fits someone who's operated inference fleets at the thousands-of-GPUs scale and genuinely wants to keep building, not move into pure management. If you want a hands-off management seat, this isn't it.
What You'll Own
  • Spend at least half your time hands-on: architect and build core platform components, own the hardest design decisions, and debug the toughest incidents yourself.
  • Lead, grow, and develop the inference engineering team - hiring, coaching, on-call, incident response, capacity planning, and postmortems.
  • Set the technical roadmap for serving: engines, routing, scheduling, autoscaling, caching, observability, and deployment.
  • Own the platform's SLOs and economics: latency, availability, GPU utilization, and cost per generation.
  • Partner with research to ship new architectures to production on day zero and integrate serving into online RL and evaluation loops.
  • Build scheduling and queueing that leverages expensive GPU resources against live traffic, cluster availability, and user priority.

First 90 Days
One way the first 90 could unfold.
  • Days 1-30 - Immerse & Diagnose: Learn the serving stack, the team, and where reliability, latency, or cost hurt most.
  • Days 30-60 - Ship & Validate: Personally ship a meaningful platform improvement while setting the team's technical bar.
  • Days 60-90 - Scale & Systemize: Set the roadmap, grow the team, and harden SLOs and economics across the fleet.

What You Bring
  • 8+ years in large-scale distributed systems or ML infrastructure, with several years building and operating model-serving or inference platforms in production.
  • Experience running inference platforms at the thousands-of-GPUs scale across multiple clusters or clouds, and knowing what breaks there.
  • Technical leadership experience through rapid growth, with a genuine desire to stay at least half hands-on.
  • Deep expertise in LLM and foundation-model serving engines (vLLM, SGLang, TensorRT-LLM), ideally having modified engine internals.
  • Strong command of continuous batching, KV-cache management, quantization, speculative decoding, and parallelism strategies (TP/EP/pipeline).
  • Strong Python and PyTorch, Kubernetes at scale, and experience with queues, scheduling, traffic control, and fleet management.

Nice to Have
  • Experience serving diffusion, video, or other multimodal generative models, and with FFmpeg/multimedia processing.
  • Modern networking stacks - RDMA (RoCE, InfiniBand), NVLink - and multi-node serving topologies.
  • Experience across heterogeneous accelerators (NVIDIA, AMD, TPU, Trainium) and the porting and validation that comes with them.
  • Contributions to open-source serving infrastructure (vLLM, SGLang, Ray, Kubernetes ecosystem).
  • Systems-language depth (Rust, C++, CUDA/HIP) for kernel- and runtime-level optimization.

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