[ research ]
Research Scientist / Engineer – Performance Optimization
Luma Labs- Location
- Remote
- Work mode
- Remote
- Type
- full time
- Listed
Applications go directly to Luma Labs. Ramai takes no fee for placement and no money for ranking.
[ About this role ]
Research Scientist / Engineer at Luma Labs focused on performance optimization for multimodal models. This role involves profiling and optimizing GPU, CPU, and accelerator code using Triton and CUDA to improve training efficiency and deployment scale.
Skills and focus areas
- gpu optimization
- cpu optimization
- accelerator optimization
- performance profiling
- latency optimization
- pytorch
- triton
- cuda
- kernel development
- custom operations
- tensor cores
- distributed systems
Summary written by Ramai from the original posting. Full details and requirements are on Luma Labs’s careers page.
[ More at Luma Labs ]
See all 28 open roles at Luma Labs →[ Similar roles at other startups ]
- Protein Scientist (ph.d. Required)Epinoma
- Principal Scientist (pd/msat)Mytos
- General InterestPostEra
- Lab Technician- Quality ControlVolta Labs, Inc.
- Ai Researcherarnata
- Research Engineer - Ai SystemsYotta
[ Not quite right? ]
Tell the assistant what you’re after — stage, location, stack, visa sponsorship — and it searches every open role for you. A few questions are free, no account needed.