Senior Research Engineer - Performance Optimization

Company: Luma AI
Location: San Jose
Posted on: June 1, 2025

Job Description:

We are looking for engineers with significant problem solving experience in PyTorch, CUDA and distributed systems. You will work with Research Scientists to build & train cutting edge foundation models on thousands of GPUs.Responsibilities

• Ensure efficient implementation of models & systems for data processing, training, inference and deployment.
• Identify and implement optimization techniques for massively parallel and distributed systems.
• Identify and remedy efficiency bottlenecks (memory, speed, utilization) by profiling and implementing high-performance CUDA, Triton, C++ and PyTorch code.
• Work closely together with the research team to ensure systems are planned to be as efficient as possible from start to finish.
• Build tools to visualize, evaluate and filter datasets.
• Implement cutting-edge product prototypes based on multimodal generative AI.Experience
  • Experience training large models using Python & Pytorch, including practical experience working with the entire development pipeline from data processing, preparation & data loading to training and inference.
  • Experience optimizing and deploying inference workloads for throughput and latency across the stack (inputs, model inference, outputs, parallel processing etc.).
  • Experience with profiling CPU & GPU code in PyTorch, including Nvidia Nsight or similar.
  • Experience writing & improving highly parallel & distributed PyTorch code, with familiarity in DDP, FSDP, Tensor Parallel, etc.
  • Experience writing high-performance parallel C++. Bonus if done within an ML context with PyTorch, like for data loading, data processing, inference code.
  • Experience with high-performance Triton / CUDA and writing custom PyTorch kernels. Top candidates will be able to utilize tensor cores; optimize performance with CUDA memory and other similar skills.
  • Good to have experience working with Deep learning concepts such as Transformers & Multimodal Generative models such as Diffusion Models and GANs.
  • Good to have experience building inference / demo prototype code (incl. Gradio, Docker etc.).Compensation
    • The pay range for this position in California is $180,000 - $250,000yr; however, base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience. We also offer competitive equity packages in the form of stock options and a comprehensive benefits plan.$200,000 - $280,000 a yearIn addition to cash base pay, you'll also receive a sizable grant of Luma's equity.The pay range for this position is for Bay Area. Base pay offered may vary depending on job-related knowledge, skills, candidate location, and experience.Your applications are reviewed by real people.
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Keywords: Luma AI, San Leandro , Senior Research Engineer - Performance Optimization, Engineering , San Jose, California