1 to 25 of 35 CUDA Jobs

ingestion, transformation, validation, versioning, republish — ideally including real‐world sources with rate limits, auth, or undocumented APIs. Hands‐on GPU compute and performance debugging (CUDA/NCCL, GPU utilization, networking bottlenecks, profiling). Working knowledge of cloud environments (AWS, GCP, or Azure), including object storage, IAM, and cost awareness. ...

Kubernetes‐based clusters Building production systems with large language models Efficient computing based on low‐precision arithmetic. Experience writing C++/Triton/CUDA kernels for performance optimisation of ML models. Familiarity with HPC systems and networking including Infiniband, NVLink, RoCE technologies. Have contributed to open‐source projects ...

professional industry setting, where you have been instrumental in: building machine learning models and pipelines in Python, using common libraries and frameworks (PyTorch/CUDA, ideally with exposure to JAX, NumPy/SciPy), especially including deep learning applications; developing models for bespoke problem settings that involve high‐dimensional data ...

architectures TCP/IP networking fundamentals Automated testing and software quality practices Awareness of virtualisation technologies Desirable Model-driven development experience GPU programming awareness (CUDA, HIP, OpenCL) Education Degree in Software Engineering, Computer Science, Electrical Engineering, or a related discipline, or equivalent commercial experience. If you are interested ...

TensorFlow; comfortable with distributed training (DeepSpeed/FSDP/SLURM/K8s). Experience in deep learning, NLP or LLMs; bonus for CUDA or data‐pipeline chops. Strong software‐design instincts: testing, code review, CI/CD. Self‐starter, low‐ego, collaborative. Benefits France 💰 Competitive cash salary and equity ...

performance of XTX's training and inference platforms. The remit is wide, and you should expect to be challenged. We are not just writing CUDA code. Amongst other things, you will be working on a sophisticated optimising compiler for a variety of accelerated computing platforms. You should be proficient ...

will need Skills in Windows and Linux native software (C/C++), dynamic languages like python, GPU-acceleration and 3D graphics (Open GL, GLSL, CUDA, Vulkan), A strong software background including software architecture design, concurrency, synchronisation, and database design An appreciation of or the desire to learn the physics ...

Model Acceleration . Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding. High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs. Distributed Systems & Scaling. ...

different compute, memory, and communication configurations, as well as hardware and software implementation choices, on AI acceleration. Experience with GPU compute APIs such as CUDA or OpenCL, and the ability to utilize GPU/NPU‐optimized libraries to enhance performance. Experience in the development of deep learning frameworks, compilers ...

building products from an early stage Relevant technical exposure could include: Computer Vision Machine Learning/Deep Learning Motion Capture PyTorch/TensorFlow CUDA/TensorRT optimisation OpenCV/MediaPipe ONNX 3D engines (Unreal/Unity) Cloud platforms (AWS/GCP) Python and/or C++ Working Setup Fully ...

Godot or similar engines Understanding of different computer graphics techniques and understand the associated tradeoffs Exposure to ML/AI Experience with OpenCL/Cuda style compute solutions Android development experience Experience working cross site #LI-ZN1 Please note that no relocation package is available for this role. ...

Godot or similar engines Understanding of different computer graphics techniques and understand the associated tradeoffs Exposure to ML/AI Experience with OpenCL/Cuda style compute solutions Android development experience Experience working cross site #LI-ZN1 Please note that no relocation package is available for this role. ...

automation and orchestration systems for these platforms Proficiency in a low-level language such as C, C++, or Rust and in GPU frameworks like CUDA Competence in front-end web design to allow easy interfacing with large datasets Our Culture Follow the science. We prioritise rigorous scientific inquiry, relying ...

optimization techniques. Excellent collaboration and interpersonal skills. Considered a Plus Experience in developing for QEMU and DynamoRIO (or x86 PIN). Experience with CUDA or OpenCL programming. What We Offer 33 days annual leave entitlement per year (including UK public holidays) Group Personal Pension Life insurance Private medical insurance ...

about machine learning systems, GPU computing, or high-performance software — prior experience not required Nice to Have (Not Required): Exposure to GPU computing (e.g. CUDA, OpenCL) Familiarity with ML frameworks (e.g. PyTorch, TensorFlow) at a user or systems level Experience using profiling or debugging tools (e.g. perf, gdb, Nsight ...

implementation and performance Judgement to know when to build something clever and when to ship the simplest thing that works Preferred Skills: GPU compute - CUDA, OpenCL, or compute shaders on real workload Familiarity with CGAL, libigl, Open3D, or equivalents Hands-on with CAD/CAM, slicer software, dental tech ...

MLOps architecture. Willingness to learn new parts of the ML tech stack – Python, PyTorch, Docker, Kubernetes, Ray, Weights & Biases, Prefect, BigQuery, Postgres, GCP, CUDA, and model serving frameworks. Fluency in life sciences or drug discovery is a plus. Working Location & Compensation: This is an office‐based, hybrid position ...

tech stack that you might not already know. Our current ML infrastructure includes: Python, PyTorch, Docker, Kubernetes, Ray, Weights & Biases, Prefect, BigQuery, Postgres, GCP, CUDA, and various model serving frameworks. Fluency in life sciences or drug discovery is a plus but not required to be considered. Working Location & Compensation ...

denied conditions. Exposure to visual odometry or computer vision-based navigation approaches. Experience optimizing code for performance on compute-constrained platforms. Familiarity with CUDA or hardware acceleration techniques (e.g., FPGAs). Experience transitioning navigation solutions from research into production environments. Full-time regular employee offer package: Pay within range ...

excited by applying those skills to one of the most interesting data domains in AI. Areas of interest include: PyTorch/JAX internals CUDA, XLA or Triton optimisation Distributed training systems GPU cluster performance tuning Large-scale experiment management Training reliability and reproducibility Kubernetes and orchestration tooling Infrastructure supporting ...

trivial language-level changes to an existing one. Experience with MLIR - writing dialects, passes, or backend integration. Experience building PyTorch backends for non-CUDA accelerators (XPU, ROCm, MPS, TPU, custom). Experience with kernel autotuning, performance modeling, or cost-based compilation Background in HPC, distributed systems, or NUMA-aware ...

3+ years in computer vision or AI engineering Experience training and deploying CV models Strong mathematical and analytical skills Nice to Have Edge deployment CUDA Multi-camera systems ...

/RTSP/TCP/UDP – deep working knowledge Experience with SS7, DIAMETER, VoLTE, SCTP or streamed video Unreal Engine development (C++ backend) CUDA and AI development GStreamer, FFmpeg, WebRTC and hardware-accelerated video pipelines MSSQL and large databases, HTML, Fluent 2 IoT and edge-device integration, distributed systems ...

level detail and system-level design Strong stakeholder communication and technical leadership ability Experience mentoring or leading engineering teams Nice to have GPU/CUDA acceleration experience Knowledge of concurrency, networking, or OS-level systems Experience with distributed or cloud-based architectures Exposure to machine learning applied to vision ...

code that other engineers want to read Have the right to work in the UK Desirable Experience with WebGPU, WGSL, or GPU compute (CUDA, Metal, Vulkan compute) Background in AI/Machine Learning, especially applied to geometric or design applications Hands-on experience in the CAD, automotive, aerospace ...