Jobs / United Kingdom / Lumaai
Copy of Research Scientist / Engineer – Performance Optimization
Lumaai · 🇬🇧 London, UK
Sponsorship verdict
No sponsorship evidence yet
No government record and no wording either way. Not a refusal — ask the recruiter.
- No government sponsor record hereThis employer posted directly and does not match a government sponsor register.
- The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
- Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.
- Confirmed live todayWhen a source last listed this job as open.
A verdict summarises public evidence; it is not legal advice and never a guarantee — the employer and the immigration authority decide. Sign in to factor in where you can already work.
Or apply yourself on the official page →
Why not apply?
No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.
SponsorApply flags time-wasters so your applications go where they can land. These come from the posting's own wording — read the original listing to confirm. See better-fit alternatives →
Sponsor Radar — Lumaai
This employer posted directly and does not match a government sponsor register.
Past sponsorship or register membership never guarantees sponsorship for this vacancy or for you. Full Sponsor Radar for Lumaai →
About the role
You'll make Luma's multimodal models fast — profiling and optimizing GPU, CPU, and accelerator code so they train efficiently and deploy at scale without sacrificing quality. You'll write the kernels and operations that get the most out of the hardware. This is deep performance work: fused kernels, tensor cores, Triton and CUDA, distributed multi-node deployment. It fits someone with expert GPU-optimization skills and a deep understanding of transformer internals. If you're not at home in CUDA, Triton, and profilers, this is the wrong depth. What You'll Own • Profile and optimize GPU/CPU/accelerator code for maximum utilization and minimal latency. • Write high-performance PyTorch, Triton, and CUDA, dropping to custom operations when needed. • Develop fused kernels and leverage tensor cores and modern hardware features 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. First 90 Days One way the first 90 could unfold. • Days 1–30 — Immerse & Diagnose: Profile the current training and inference paths and find the biggest performance wins. • Days 30–60 — Ship & Validate: Land a kernel or architecture optimization that measurably improves utilization or latency. • Days 60–90 — Scale & Systemize: Build the monitoring and automation that keeps performance gains from regressing. What You Bring • Expert-level Triton/CUDA programming and GPU optimization. • Strong PyTorch skills, including kernel development and custom operations. • Proficiency with profiling tools (NVIDIA Nsight, torch profiler, custom tooling). • Deep understanding of transformer architectures and attention mechanisms. Nice to Have • Experience with compilers and exporters (torch.compile, TensorRT, ONNX, XLA). • Experience optimizing inference workloads for latency and throughput. • Triton compiler and kernel fusion techniques. • Knowledge of warp-level intrinsics and advanced CUDA 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. Find more English Speaking Jobs in United Kingdom on Arbeitnow