Luma AI is hiring a Research Scientist / Engineer – Performance Optimization to maximize the efficiency and performance of our AI models. You’ll work closely with both research and engineering teams to ensure cutting-edge multimodal models can be trained efficiently and deployed at scale while maintaining the highest quality standards.

What You'll Do

Profile and optimize GPU/CPU/Accelerator code for maximum utilization and minimal latency.
Write high-performance PyTorch, Triton, and CUDA code, deferring to custom PyTorch operations if necessary.
Develop fused kernels and leverage tensor cores and modern hardware features for optimal utilization across platforms.
Optimize model architectures and implementations for distributed multi-node production deployment.
Build performance monitoring and analysis tools and automation.
Research and implement cutting-edge optimization techniques for transformer models.

What We're Looking For

Expert-level proficiency in Triton/CUDA programming and GPU optimization.
Strong PyTorch skills.
Experience with PyTorch kernel development and custom operations.
Proficiency with profiling tools like NVIDIA Nsight, torch profiler, and custom tooling.
Deep understanding of transformer architectures and attention mechanisms.

Nice to Have

Experience with compilers/exporters such as torch.compile, TensorRT, ONNX, or XLA.
Experience optimizing inference workloads for latency and throughput.
Experience with Triton compiler and kernel fusion techniques.
Knowledge of warp-level intrinsics and advanced CUDA optimization.
Background in compiler optimization or hardware-software co-design.