26 to 50 of 61 Permanent CUDA Jobs

PyTorch ecosystem Experience with inference optimisation techniques, including quantisation, speculative decoding and model parallelism across modern GPU architectures Strong software engineering skills, including Python, CUDA and building reliable systems for machine learning workloads Strong communication skills, with the ability to collaborate across research, infrastructure and engineering teams Why join ...

systems, including vector database management and semantic search optimization. Preferred Qualifications Experience in the insurance or financial services sector. Deep knowledge of GPU architecture , CUDA, and hardware-level performance optimization. Familiarity with Document Intelligence frameworks (OCR, layout analysis, and multimodal extraction). MUST be fluent in Mandarin OR Cantonese ...

exceptional academic record. Experience with HPC, supercomputing or large-scale distributed systems. Research experience involving computational workloads. Experience with parallel programming (MPI, OpenMP, CUDA). Knowledge of scheduling systems such as Slurm, PBS or LSF. Contributions to technical projects, open source or research communities. Experience working with advanced computing … Scale Computing, Scientific Computing, Numerical Computing, Computational Science, Computational Engineering, Performance Engineering, Performance Optimisation, Benchmarking, Profiling, Low Level Programming, C++, C, Python, Fortran, Rust, CUDA, GPU Computing, GPU Acceleration, Parallel Programming, MPI, OpenMP, Multithreading, Concurrency, Algorithms, Data Structures, Systems Design, Kernel Development, Networking, Storage Systems, Distributed Storage, Automation, Infrastructure ...

SLURM, PBS, or equivalent), MPI/NCCL tuning, and distributed training frameworks such as PyTorch, JAX, or DeepSpeed. Deep understanding of GPU software environments: CUDA, cuDNN, NCCL, driver stacks, and the tooling required to run large-scale AI training and inference workloads reliably in production. Hands-on experience optimising ...

Experience with CPU and/or GPU concurrent programming English language fluency (both written and verbal) Preferred Qualifications Experience with GPU APIs (preferably Metal, CUDA, Vulkan or DX12) Experience with rendering and/or parallel compute algorithms Familiarity of one or more GPU architectures and how to optimize rendering ...

range of hardware from resource constrained embedded systems through to cloud computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself ...

programming Interest in real-time rendering, physically based rendering, ray tracing, digital twins, simulation, or graphics systems Experience with Vulkan, Slang, or CUDA or related technologies is beneficial Experience with neural rendering techniques such as Gaussian splatting is beneficial Ability to work independently and collaboratively in interdisciplinary teams Good ...

industry experience Command of programming languages: C, C++ (mandatory) Expert command of at least one of: Python, C#, Typescript, Java, Kotlin, Swift, GoLang, Cuda Documented knowledge in Secure‐Element and/or Secure‐Credential development (symmetric and asymmetric/PQC cryptography + ISO‐14443/ISO‐7816) Familiarity with ...

must, or you have previous experience training models (strong math skills are still required). Strong PyTorch experience. Strong ability to code in Rust, CUDA, or C (with a preference for Rust). Solid understanding of Transformers (not the movies). A product mindset. you’ll be building things ...

USVs, UAVs, or autonomous marine shipping. Experience with multispectral or thermal sensor calibration and fusion (EO/IR, LiDAR, Radar). Deep familiarity with CUDA, TensorRT, PyTorch, and OpenCV. #J-18808-Ljbffr ...

plus; a strong background in mathematics is required. Alternatively, experience training models with strong math skills. Strong coding ability in Rust (preferred), CUDA, or C. Solid understanding of transformer architectures. A product mindset; you’ll build production‐ready products. Hybrid Remote with the London Office. What ...

USVs, UAVs, or autonomous marine shipping. Experience with multispectral or thermal sensor calibration and fusion (EO/IR, LiDAR, Radar). Deep familiarity with CUDA, TensorRT, PyTorch, and OpenCV #J-18808-Ljbffr ...

Familiarity with the modern IC design flow from architecture to GDSII to communicate with silicon implementation stakeholders. Familiarity with parallel programming models, e.g. via CUDA or similar APIs. Hands‐on experience with low‐level programming close to hardware and understanding of computer system architecture basics. Experience with AI compilation ...

apply advanced techniques, optimize training pipelines on HPC clusters, and integrate ML models into latency-sensitive production environments, using C/C++, Python, and CUDA across large-scale systems. #J-18808-Ljbffr ...

systems for quantitative finance. You will optimize training pipelines, deploy models to low-latency production environments, and work across C/C++, Python, CUDA, and related GPU technologies. Join a fast-paced, collaborative team focused on impactful projects that push the boundaries of AI research and its applications ...

quantization tradeoffs, and multi-GPU sharding. Container orchestration and GPU scheduling: ECS/EKS with GPU workloads, node autoscaling, and image build pipelines for CUDA-dependent stacks. Reliability and cost engineering. SLOs, alerting, and a demonstrated track record of optimizing cloud spend without cutting capability. Desirable Skills: AWS SageMaker ...

front and centre. Strong candidates may also have Experience with a systems programming language like Rust or C++. Experience with writing and profiling CUDA kernels. A track record of building reliable research tools. Why this is interesting You’ll shape the core technical foundation of a frontier ...

training (fine‐tuning, alignment, reward modelling). Publications at top‐tier AI conferences such as ICML, ICLR, NeurIPS, CVPR, etc. Experience using HPCs and CUDA for training large‐scale models. The ability to translate research into a product vision and carry it through to delivery. Nice to have Computer ...

practical product impact and close collaboration with product teams. The role requires a strong math background, expertise in PyTorch, and experience with Rust/CUDA for high-performance inference. This is a unique opportunity to shape the AI strategy for a fast-growing platform. #J-18808-Ljbffr ...

technology that will power the next generation of AI What We’re Looking For Strong C/C++ programming experience Experience with GPU programming (CUDA, OpenCL, HIP, or similar) Strong understanding of parallel computing and computer architecture Experience optimising high-performance workloads Passion for building cutting-edge technology ...

optimize the end-to-end ML stack: data pipelines, training loops, inference serving, and deployment. Design and implement GPU-accelerated components, including custom CUDA kernels where off-the-shelf libraries are not enough. Work closely with the founders to translate product requirements into concrete optimization goals and technical roadmaps. ...

SDKs, APIs, or platforms that other engineers depend on. Experience developing for inference hardware and/or GPUs (e.g. one year or more using CUDA or ROCm). A good understanding of modern ML workloads and the practical challenges of deploying large language models to production. An instinct ...

related field. In-depth knowledge of at least one modern 3D graphics or compute API and its associated software ecosystems (e.g. Vulkan, DirectX, OpenCL, CUDA). Demonstrable technical expertise in the optimisation of software targeting such ecosystems (e.g. game engines, visual effects, computer vision, AI). Experience with ...

Inference Engineer to define and build how we serve AI workloads at scale, reporting to the CTO. You’ll own the layer above CUDA/GPU work, shaping inference delivery, throughput, and reliability as we scale data-centre compute for energy applications. With 4+ years in large-scale inference ...

contact and escalation point for the BDM team on complex or high-value matters* Represent Wellington IT at key sector events (e.g. ILCU and CUDA conferences and AGMs) as an ambassador for customer engagement* Build a customer advocacy programme, including case studies, testimonials, and reference points to supportwider business ...