1 to 25 of 40 Permanent CUDA Jobs

parallel computing principles. - Proficiency in debugging, profiling, and implementing best software engineering practices in large-scale systems. PREFERRED QUALIFICATIONS - Familiarity with PyTorch, JIT compilation, and AOT tracing. - Familiarity with CUDA kernels or equivalent ML or low-level kernels. - Candidates with performant kernel development such as CUTLASS, FlashInfer etc., would be well suited. - Familiar with syntax and tile-level semantics More ❯

software on GitHub, PyPI, Anaconda Cloud, and Docker Hub, as well as use of Pytorch lightning, Git, test-driven design. Knowledge of parallel computing technologies, such as NVIDIA's CUDA platform, OpenCL, and OpenMPI. The salary range for Cambridge, UK: - Senior Scientist I, Computational Biology: £75,000 - £117,500 Senior Scientist II, Computational Biology: £94,000 - £152,500 Exact 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 ❯

containers. Knowledge and interest in developing tools and solutions using RAG or Agentic workflows Understanding of DevOps methodology, scrum, and/or Jira. Knowledge with hardware accelerators, such as CUDA and ROCm Bachelor's degree in computer science or related discipline. Remote means living elsewhere in Ireland About Red Hat is the world's leading provider of enterprise software More ❯

software development experience - Expertise in accelerator architectures for ML or HPC such as GPUs, CPUs, FPGAs, or custom architectures - Experience with GPU kernel optimization and GPGPU computing such as CUDA, NKI, Triton, OpenCL, SYCL, or ROCm - Demonstrated experience with NVIDIA PTX and/or AMD GPU ISA - Experience developing high performance libraries for HPC applications - Proficiency in low-level More ❯

U.S.) or 25 miles (non-U.S., country-specific) of that location. This expectation is subject to local law and may vary by jurisdiction. Responsibilities Design and develop Python and CUDA/HIP C++ code that enable distributed training of multimodal LLMs ingesting text, audio, images, or video data. Build and maintain cutting-edge infrastructure that can store and process More ❯

EO Sensor perceives it. You 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 of the propagation of EM More ❯

EO Sensor perceives it. You 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 of the propagation of EM More ❯

EO Sensor perceives it. You 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 of the propagation of EM More ❯

EO Sensor perceives it. You 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 of the propagation of EM More ❯

or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and More ❯

or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and More ❯

or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and More ❯

or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and More ❯

or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and More ❯

or related field, or equivalent experience in 3D graphics or ML systems. Strong in C Python, 3D graphics pipelines, inverse rendering, and geometry processing. Experience with GPU programming (OpenGL, CUDA, Vulkan), PyTorch/TensorFlow, and real-time engines (Unity/Unreal). Solid grasp of optimization, linear algebra, computer vision, and numerical methods. Skilled in multithreading, memory management, and More ❯

modular code delivery in Docker -based environments. Desirable Experience Experience with PyTorch for AI-based perception/control. Familiarity with MoveIt for motion planning in ROS2 . Knowledge of CUDA for C++ real-time optimisation. To Apply: Please email your CV Desired Skills and Experience Python: Advanced proficiency in Python, leveraging scientific and numerical libraries (e.g., NumPy, SciPy) for More ❯

modular code delivery in Docker -based environments. Desirable Experience Experience with PyTorch for AI-based perception/control. Familiarity with MoveIt for motion planning in ROS2 . Knowledge of CUDA for C++ real-time optimisation. To Apply: Please email your CV Desired Skills and Experience Python: Advanced proficiency in Python, leveraging scientific and numerical libraries (e.g., NumPy, SciPy) for More ❯

modular code delivery in Docker -based environments. Desirable Experience Experience with PyTorch for AI-based perception/control. Familiarity with MoveIt for motion planning in ROS2 . Knowledge of CUDA for C++ real-time optimisation. To Apply: Please email your CV Desired Skills and Experience Python: Advanced proficiency in Python, leveraging scientific and numerical libraries (e.g., NumPy, SciPy) for More ❯

design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute More ❯

design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute More ❯

design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute More ❯

design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute More ❯

design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. Experience configuring and maintaining cloud infrastructure including network infrastructure, compute More ❯

design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network training, MLOps, and academic research in machine learning are also beneficial. At a personal level we’re also looking for someone More ❯