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Research Scientist / Engineer – Performance Optimization

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

Research Scientist / Engineer – Performance Optimization is a full-time role based in Redwood City, CA at Luma AI that suits professionals with expert GPU-optimization skills and deep transformer knowledge. The position centers on making multimodal models fast through profiling and optimizing hardware utilization for training and deployment at scale.

Role Overview

This position involves deep performance work on multimodal models at Luma AI. The professional selected for this job will write custom operations, fused kernels, and optimize tensor cores across hardware platforms to achieve minimal latency and efficient scaling.

Key Responsibilities

Profile and optimize GPU, CPU, and accelerator code to achieve maximum hardware utilization and minimal latency
Write high-performance PyTorch, Triton, and CUDA code, including custom operations when necessary
Develop fused kernels and utilize tensor cores and modern hardware features across multiple platforms
Optimize model architectures and implementations for distributed multi-node production deployment
Build performance monitoring, analysis tools, and automation systems
Research and implement optimization techniques for transformer models

Requirements

Expert-level Triton and CUDA programming alongside GPU optimization capabilities
Strong PyTorch skills, encompassing kernel development and custom operations
Proficiency utilizing profiling tools such as NVIDIA Nsight, torch profiler, and custom tooling
Deep comprehension of transformer architectures and attention mechanisms

Nice to Have

Experience with compilers and exporters including torch.compile, TensorRT, ONNX, and XLA
Background optimizing inference workloads for low latency and high throughput
Familiarity with Triton compiler and kernel fusion techniques
Knowledge regarding warp-level intrinsics and advanced CUDA optimization

Skills and Tools

PyTorch
Triton
CUDA
NVIDIA Nsight
torch profiler
torch.compile
TensorRT
ONNX
XLA
GPU, CPU, and accelerators

Salary and Benefits

Salary range between $195K and $395K

About the Company

Luma AI focuses on building unified general intelligence capable of generating, understanding, and operating within the physical world. The organization emphasizes that multimodality is essential for intelligence, moving beyond language models by incorporating vision. Luma AI operates as an equal opportunity employer.

How to Apply

Interested candidates should apply on the official company careers page.

Skills and tech stack

Questions candidates ask

What is the location of the Research Scientist / Engineer – Performance Optimization role?

The position is located in Redwood City, CA.

What salary range is offered for this role?

The salary ranges from $195K to $395K.

What core technical skills are required?

Requirements include expert-level Triton and CUDA programming, GPU optimization, strong PyTorch skills including custom operations, proficiency with profiling tools like NVIDIA Nsight and torch profiler, and a deep understanding of transformer architectures and attention mechanisms.

What are some of the nice-to-have qualifications?

Preferred additions include experience with compilers and exporters such as torch.compile, TensorRT, ONNX, and XLA, inference workload optimization, Triton compiler and kernel fusion techniques, and knowledge of warp-level intrinsics and advanced CUDA optimization.

What is the mission of Luma AI?

Luma AI aims to build unified general intelligence that generates, understands, and operates in the physical world through vision and multimodality.

Ready to apply?

The application is on the official Luma AI careers page.

Apply on company site