1 to 25 of 255 CUDA Jobs

Strong mathematical and analytical problem-solving skills. Desirable Skills: Experience with C# .NET, WinForms, WPF, or the Qt/QML framework, or HTML5. Experience in GPU programming (e.g., OpenCL, CUDA). Knowledge of AI and Machine Learning techniques. Expertise in graphics development (2D/3D) using technologies such as OpenGL, OpenGL Shaders, VTK, OSG, or Vulkan. Why apply for More ❯

in C++ (and ideally C or Fortran). - Further experience with C# (including WinForms, WPF, QML Frameworks) would be desirable. - Strong numeracy and understanding of mathematical modelling. - Experience with CUDA, multithreading, AI/ML would be advantageous. - Any exposure to 3D/2D graphics development (OpenGL, Vulkan) would be beneficial. The company offers an excellent remunerations package including annual More ❯

in C++ (and ideally C or Fortran). Further experience with C# (including WinForms, WPF, QML Frameworks) would be desirable. Strong numeracy and understanding of mathematical modelling. Experience with CUDA, multithreading, AI/ML would be advantageous. Any exposure to 3D/2D graphics development (OpenGL, Vulkan) would be beneficial. The company offers an excellent remunerations package including annual More ❯

and multi-threaded architectures. Preferred: Ability to work in the Belfast office three days per week Experience porting deep learning models to TensorRT or similar platforms. Proficiency in C CUDA C with experience working with GPUs. Familiarity with video technologies such as Gstreamer, DeepStream, and Triton. Experience with Python microservices architecture. Knowledge of containerization tools (Docker, Kubernetes). Linux More ❯

scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch More ❯

/Digital Twins. Proficiency in deploying AI models and optimizing inference using TensorRT, ONNX Runtime, Triton, or TensorRT-LLM is a plus. Proven experience implementing and optimizing workloads with CUDA and Nsight Tools. Experience with high performance networking technologies, e.g. DPDK, DOCA, RMDA, RoCEv2 is a plus. Published record of thought leadership in a technical area or industry segment. More ❯

JIRA, Git, Jenkins, JAVA, bash, batch files, TestRail. • 2D and 3D Geometrical modelling experience; Geometrical APIs or toolkits including CGAL. • Multithreading and parallel programming experience; OpenMP; GPU programming using CUDA or OpenCL. • Scripting of mathematical or geological problems; Excel, MATLAB, Python. Knowledge of any/several of the following will be ideal: • Seismic processing and attribute analysis. • Modelling of More ❯

EXPERIENCE BEng or BSc Degree in Engineering, Computer Science or Electronics; or equivalent experience. 5+ years of relevant experience. Solid practical experience of: Languages: Python, C/C++, OpenCL, CUDA ML Frameworks: TensorFlow, PyTorch, Caffe2, ONNX, OpenVx Linux Environment Task and Data parallel/concurrent systems AI Network optimisations: quantization, compression (pruning etc.) Experience developing and delivering on projects More ❯

at a leading technology company. Strong expertise in algorithms, data structures, multivariate calculus, and linear algebra. Proficient in Python, TensorFlow, PyTorch, or similar languages and frameworks, with experience writing CUDA kernels and profiling GPU code a plus. Excellent communication skills, with the ability to work effectively in cross-functional teams and present complex ideas to both technical and non More ❯

scaling and optimising ML models, training and serving foundation models at scale (federated learning a bonus); distributed computing frameworks (e.g., Spark, Dask) and high-performance computing frameworks (MPI, OpenMP, CUDA, Triton); cloud computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch More ❯

experience in compiled languages such as C, C++ or Fortran and experience with interpreted environments such as Python. Parallel programming experience, with relevant programming models such as OpenMP, MPI, CUDA, OpenACC, HIP, PGAS languages, etc is highly desirable. Your personal skills include: Strong team spirit but capable of independence. Ability to represent oneself and the team both inside and More ❯

and 3+ years of relevant work or research experience. Strong knowledge of C/C++, software design, programming techniques, and AI algorithms. Firsthand work experience with parallel programming, ideally CUDA C/C++. Strong communication and organization skills, with a logical approach to problem solving, good time management, and task prioritization skills. Some travel is required for conferences and More ❯

learning models across diverse hardware platforms (GPU/TPU) and optimising system performance under heavy load. Low-Level Optimisation: Write efficient Python, C/C++, XLA, Pallas, Triton, or CUDA code to achieve performance breakthroughs. ML Systems Design: Architect robust distributed systems for training, deployment, and monitoring, ensuring computational efficiency and scalability. Data Pipeline Automation: Develop automated pipelines for …/or PyTorch) Passion for profiling, identifying bottlenecks, and delivering efficient solutions. Fundamentals of modern Deep Learning Desired Skills Track record of successfully scaling ML models. Experience writing custom CUDA kernels or XLA operations. Understanding of GPU/TPU architectures and their implications for efficient ML systems. Representative projects Profile algorithm, identifying opportunities for custom XLA/CUDA More ❯

experience in Linux system installation, performance tuning, and troubleshooting Expertise in troubleshooting distributed GPU workloads Deep knowledge around GPU optimization and performance Proficiency in Python scripting and automation frameworks CUDA or C/C++ experience is a plus Experience with NVIDIA technologies beyond CUDA, such as NCCL, GPUDirect RDMA, and NVLink Familiarity with configuration management tools (e.g. Salt More ❯

/OSU, TensorFlow, PyTorch, MLperf. 1+ years of experience of using parallel and/or accelerated applications using more than one of OneAPI, Intel Gaudi software suite, OpenMP, MPI, CUDA, ROCm, OpenCL, SYCL. We will also consider candidates who lack some of the requirements but can demonstrate ability to learn quickly. The following competencies are welcome: Experience of running … performance tests and benchmarking codes. Experience of using or developing parallel and/or accelerated applications using more than one of OpenMP, MPI, CUDA, ROCm, OpenCL, SYCL paradigms. Experience of production HPC environment: large-scale filesystems (ideally Storage Scale), batch scheduling (ideally SLURM) as well as common HPC SW and management tools. Experience with analysis and profiling tools for More ❯

approach to AI implementation. Effective communication and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

approach to AI implementation. Effective communication and collaboration skills in cross-functional teams . Preferred Skills High-Performance Computing (HPC) and AI workloads for large-scale enterprise solutions. NVIDIA CUDA, cuDNN, TensorRT experience for deep learning acceleration. Big Data platforms (Hadoop, Spark) for AI-driven analytics in professional services. Pls share CV at payal.c@hcltech.com More ❯

internationally twice a year for company events up to two weeks long Nice-to-have skills Experience with LXC/LXD Experience with AI/ML and/or CUDA/OpenVINO Knowledge of system and language package managers internals What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually More ❯

e.g., Unreal Engine, Unity, custom 3D engines). Proven track record of publications at top-tier conferences (e.g., NeurIPS, CVPR, ICML, ICLR, SIGGRAPH, ECCV). Experience with GPU programming (CUDA) and model optimization for real-time inference (e.g., quantization, pruning, ONNX, TensorRT, custom CUDA kernels). Background in scalable algorithm design for real-time or interactive applications. Experience More ❯

e.g., Unreal Engine, Unity, custom 3D engines). Proven track record of publications at top-tier conferences (e.g., NeurIPS, CVPR, ICML, ICLR, SIGGRAPH, ECCV). Experience with GPU programming (CUDA) and model optimization for real-time inference (e.g., quantization, pruning, ONNX, TensorRT, custom CUDA kernels). Background in scalable algorithm design for real-time or interactive applications. Experience More ❯

Qt, QML); 3D graphics toolkits (OpenGL, Vulkan or shaders); CI experience (CMake, JIRA, Git, Jenkins); GIS development tools (GDAL API, MapBox API); multithreading/parallel computing (GPU programming or CUDA); MATLAB/Python scripting for mathematical/geology problems would be advantageous. Due to specific requirements, applicants without the relevant project experiences will not be considered (similarly exposure to More ❯

Qt, QML); 3D graphics toolkits (OpenGL, Vulkan or shaders); CI experience (CMake, JIRA, Git, Jenkins); GIS development tools (GDAL API, MapBox API); multithreading/parallel computing (GPU programming or CUDA); MATLAB/Python scripting for mathematical/geology problems would be advantageous. Due to specific requirements, applicants without the relevant project experiences will not be considered (similarly exposure to More ❯

Qt, QML); 3D graphics toolkits (OpenGL, Vulkan or shaders); CI experience (CMake, JIRA, Git, Jenkins); GIS development tools (GDAL API, MapBox API); multithreading/parallel computing (GPU programming or CUDA); MATLAB/Python scripting for mathematical/geology problems would be advantageous. Due to specific requirements, applicants without the relevant project experiences will not be considered (similarly exposure to More ❯

developing games using Unity, Unreal, 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 Experience working cross site Do you think you could contribute to our team? Even if you don't meet all these requirements we would love to More ❯

developing games using Unity, Unreal, 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 Experience working cross site Do you think you could contribute to our team? Even if you don't meet all these requirements we would love to More ❯