1 to 25 of 39 Permanent CUDA Jobs

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 ❯

disciplines may be beneficial: GUI development using .Net Technologies (C#, WinForms or WPF) or Qt/QML framework, or HTML5 GPU development for the solution of algorithmic problems (OpenCL, CUDA) Machine learning and AI 2D/3D graphics development; OpenGL, OpenGL Shaders, VTK, OSG, Vulkan 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 ❯

issues, and document best practices. PREFERRED EXPERIENCE: Strong experience with Slurm or equivalent HPC schedulers . CI/CD, DevOps tools, and automation expertise. GPU compute and lifecycle management (CUDA/ROCm). Linux administration, shell scripting, and distributed systems troubleshooting. Containerization and orchestration (Docker, Kubernetes, Helm). Agile, collaborative mindset with strong communication skills. ACADEMIC CREDENTIALS: Bachelor's More ❯

Servers/Deployment. Fast API, Flask, Nginx, Gunicorn, Uvicorn, Docker, Kubernetes. MiscellaneousTools and Technologies: JIRA, Auto Gluon, GitHub Actions, Github Issues, Datadog, MS Power BI, Postman, Locust, Stream lit, CUDA, cuDNN, TensorRT Version Control: Git, GitHub, DVC (Data Version Control) Operating Systems: Windows, Linux, Mac 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 ❯

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 ❯

as: Puppet, Chef, SMS, Satellite, etc. Knowledge of interpreted and compiled computer programming languages such as Python, Java, C, Objective C, C++, C Sharp, SQL, Tcl, Perl, PHP. Assembly, CUDA, and GPU language experience desirable. Knowledge of advanced computing technologies such as parallel processing, in-memory databases, graph databases and graph theory, machine learning, deep learning, and neural networks. More ❯

language, vision and other modalities, machine learning for molecules and proteins (ideally with some background in chemistry and biological sciences) . Lower-level programming for hardware efficiency, e.g. C CUDA/Triton. Practical familiarity with hardware capabilities for deep learning - threads, caches, vector & matrix engines, data dependencies, bus widths and throttling. Practical familiarity with software stacks for deep learning More ❯

as ResNet or U-Net for object detection or segmentation tasks using satellite imagery. • Demonstrated professional or academic experience with version control systems such as Gitlab. • Demonstrated experience leveraging CUDA for GPU accelerated computing. Skills and abilities desired: • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub. • Demonstrated experience with OpenShift and container orchestration within Kubernetes More ❯

large language models, efficient computing based on low-precision arithmetic, deep learning models including large generative models for language, vision and other modalities . Experience writing C Triton/CUDA kernels for performance optimisation of ML models. Have contributed to open-source projects or published research papers in relevant fields. Knowledge of cloud computing platforms. Keen to present, publish More ❯

or create insights, that's a plus. Deeper systems knowledge. Extraexperience with any of the following would be an asset: developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc); optimizing systems to meet strict utilization and latency requirements with tools such as Nvidia NSight; and/or you've worked with embedded More ❯

or create insights, that's a plus. Deeper systems knowledge. Extraexperience with any of the following would be an asset: developing GPU kernels and/or ML compilers (e.g. CUDA, OpenCL, TensorRT Plugins, MLIR, TVM, etc); optimizing systems to meet strict utilization and latency requirements with tools such as Nvidia NSight; and/or you've worked with embedded More ❯

Desirable skills: Experience in solving non-linear least square problems Experience with Computer Vision Experience in UI development e.g. ImGui Understanding of multithreading techniques Experience with GPU programming e.g. CUDA Experience with a messaging framework, e.g. NATS, RabbitMQ Experience working in and configuring cloud environments (e.g. AWS, Azure, GCP) Experience working with software containers (Docker, Podman) and container orchestration More ❯

Desirable skills: Experience in solving non-linear least square problems Experience with Computer Vision Experience in UI development e.g. ImGui Understanding of multithreading techniques Experience with GPU programming e.g. CUDA Experience with a messaging framework, e.g. NATS, RabbitMQ Experience working in and configuring cloud environments (e.g. AWS, Azure, GCP) Experience working with software containers (Docker, Podman) and container orchestration More ❯

of satellite communications system design and theory with implementation of concepts into software • Time and/or Frequency geolocation technologies and implementation • Experience with MATLAB • Experience with GPU/CUDA development More ❯

to work confidently with technical and non-technical audiences. Experience engaging with a range of stakeholders, from academic researchers to commercial partners. Desirable experience: Knowledge of heterogeneous parallel programming (CUDA, OpenCL, SYCL). Familiarity with LLMs and their applications. Experience delivering training, seminars, or public engagement activities. What's on Offer Permanent role with excellent opportunities to shape the More ❯

to work confidently with technical and non-technical audiences. Experience engaging with a range of stakeholders, from academic researchers to commercial partners. Desirable experience: Knowledge of heterogeneous parallel programming (CUDA, OpenCL, SYCL). Familiarity with LLMs and their applications. Experience delivering training, seminars, or public engagement activities. What's on Offer Permanent role with excellent opportunities to shape the More ❯

as PyTorch, TensorFlow, ONNX Knowledge of LLM architectures and inference optimization techniques (e.g., batching, quantization) Experience deploying scalable, reliable, real-time model serving systems (Optional) GPU architecture understanding or CUDA programming experience The compensation range for this role is $190,000 - $240,000. At Perplexity, we have experienced significant growth since launching the world's first conversational answer engine More ❯

Inference experience for high-throughput model serving - Proven ability to work on air-gapped systems with no external package repositories - Experience with GPU orchestration (NVIDIA A100/H100) and CUDA optimisation - Python expertise with offline dependency management and local package mirrors Technical Stack (All On-Premises) Models: Llama 3, Mistral, Qwen (locally hosted) Vector Stores: Chroma, FAISS, Milvus Orchestration More ❯

Inference experience for high-throughput model serving - Proven ability to work on air-gapped systems with no external package repositories - Experience with GPU orchestration (NVIDIA A100/H100) and CUDA optimisation - Python expertise with offline dependency management and local package mirrors Technical Stack (All On-Premises) Models: Llama 3, Mistral, Qwen (locally hosted) Vector Stores: Chroma, FAISS, Milvus Orchestration More ❯

novel solutions. About you: C++ is your strongest language Ideally experience in Video or Audio Processing Experience writing performance-critical software Exposure to GPU technology (Vulkan API, OpenGL, OpenCL, CUDA etc.,) Relevant degree Full details are available. Please don't hesitate to get in touch with (email address removed). com to learn more. More ❯

novel solutions. About you: C++ is your strongest language Ideally experience in Video or Audio Processing Experience writing performance-critical software Exposure to GPU technology (Vulkan API, OpenGL, OpenCL, CUDA etc.,) Relevant degree Full details are available. Please don't hesitate to get in touch with (email address removed). com to learn more. More ❯

functional collaboration. Thrives in an environment that values innovation, fast iteration, and attention to detail. Your Wishlist (Even if You Don't Tick Every Box, Apply Anyway) Experience with CUDA, OpenCL, or database development. Familiarity with JavaScript-based frameworks like Pixi.js. Exposure to game engines and real-time data processing. A curiosity for emerging tech and a mindset for More ❯

in production AI systems. Excellent problem-solving skills and the ability to work in a cross-functional, fast-paced environment. Nice to Have Experience with GPU optimization (TensorRT-LLM, CUDA) or distributed systems. Contributions to open-source AI frameworks . Background in customer support automation, enterprise integrations, or SaaS platforms. Team You will become part of our dedicated, interdisciplinary More ❯