76 to 86 of 86 CUDA Jobs in England

engineers who have: A track record of working on model training or model inference at scale , or on low‐level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better. What will I be doing? As a Senior AI Infrastructure Engineer focused on model … Model training (especially transformers and LLMs). Model inference at scale (again, especially transformers and LLMs). Low‐level GPU work , such as writing CUDA or Triton kernels. Comfortable working in production environments at meaningful scale (traffic, data, or organizational). You communicate clearly, can explain complex technical topics ...

engineers who have:A track record of working on model training or model inference at scale, or on low‐level GPU coding (e.g. CUDA, Triton). Experience with one is great, multiple is even better.What will I be doing As a Senior AI Infrastructure Engineer focused on model training … following:Model training (especially transformers and LLMs).Model inference at scale (again, especially transformers and LLMs).Low‐level GPU work, such as writing CUDA or Triton kernels.Comfortable working in production environments at meaningful scale (traffic, data, or organizational).You communicate clearly, can explain complex technical topics to different audiences ...

This role is based in our London (Kings Cross) office. Responsibilities: Manage and mentor a team of software engineers working across embedded C++/CUDA, GUI, and embedded linux, setting priorities, individual development plans, conducting performance reviews, and maintaining a high standard of engineering practice Own the technical roadmap … product software stack, from the C++/CUDA host application and real-time processing pipeline, aligning with product and system requirements Lead design and architecture reviews across the software stack, ensuring quality, consistency, and sound technical decisions Drive software from prototype through to production release, managing dependencies with ...

operate in significantly outpaces what we can currently build, meaning speed to power and reliability are critical to how we scale. This puts CUDA/GPU performance engineering at the center of how Fuse scales its compute infrastructure.ResponsibilitiesDesign, implement, and optimise CUDA kernels for high-throughput, latency-sensitive …/GPU baselines and drive continuous performance improvements.Contribute to internal libraries, documentation, and best practices for GPU performance engineering.Requirements4+ years of experience writing production CUDA code, or equivalent strong project/industry experience.Deep understanding of GPU architecture (SMs, warps, memory hierarchy, occupancy).Proficiency in C++ and CUDA; experience ...

will collaborate closely with researchers to co‐design and improve our models and shape the research agenda. Qualifications Strong engineering skills, especially in CUDA/Triton/Pallas/CuTe DSL kernel development, lower‐level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experience. ...

impactful on the business, and it will be challenging: this is a field with no easy or obvious solutions.QualificationsStrong engineering skills, especially any of: CUDA/Triton/Pallas/CuTe DSL kernel development, lower-level PyTorch/JAX/XLA development, CUDA Graphs, FPGA/ASIC experienceMust ...

modern ML frameworks and tooling, including PyTorch, JAX, Apache Arrow, Parquet, Polars, Ray and related training and inference toolingFamiliarity with GPU/accelerator workflows, CUDA-based software packaging and the practical realities of running ML workloads at scale is highly valuedProven track record in a technology-driven role, preferably … software, particularly projects that underpin machine learning, data processing and numerical computingProficiency in languages such as Python, C++, Rust, or Go, with exposure to CUDA or other GPU programming and familiarity with development platforms such as GitHub, GitLab and BitbucketAbility to collaborate effectively across diverse teams and with external ...

Member of Technical Staff, Compute Infrastructure — Inherent (London) At Inherent, we are on a mission to build AI that recursively self‐improves to discover new knowledge. Scientific advances are the backbone of our economic, technological ...

energy and AI - optimising how power-dense GPU workloads are scheduled, cooled, and balanced against grid conditions in real time.We're looking for a CUDA Engineer to write and optimise the low-level GPU code that powers our inference workloads. You'll design custom CUDA kernels, tune performance … operate in significantly outpaces what we can currently build, meaning speed to power and reliability are critical to how we scale. This puts CUDA/GPU performance engineering at the center of how Fuse scales its compute infrastructure.ResponsibilitiesWrite and optimise custom CUDA kernels for core transformer inference operations.Profile ...

demand, Fuse is expanding into high-performance compute infrastructure that sits at the intersection of energy and AI. We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch - and we're looking for the founding engineer … Founding AI Inference Engineer to define and build how Fuse serves AI inference workloads at scale, reporting directly to the CTO. Where our CUDA and GPU engineering hires own kernel-level and hardware performance, this role owns the layer above it: how models actually get served, scaled, and delivered ...

demand, Fuse is expanding into high-performance compute infrastructure that sits at the intersection of energy and AI. We're building the GPU/CUDA performance layer and the inference serving layer at the same time, from scratch -- and we're looking for the founding engineer … Founding AI Inference Engineer to define and build how Fuse serves AI inference workloads at scale, reporting directly to the CTO. Where our CUDA and GPU engineering hires own kernel-level and hardware performance, this role owns the layer above it: how models actually get served, scaled, and delivered ...