51 to 75 of 82 Permanent CUDA Jobs

catastrophe modelling, actuarial science, quantitative finance, or data science. Statistical Modelling Expertise: Real-world commercial experience in statistical modelling and probability. Programming Skills: Proficiency in scientific Python (essential), Spark, CUDA, and SQL. Familiarity with Databricks is a plus! Problem Solver: Strong analytical skills with the ability to work independently and collaboratively. Communication Skills: Ability to present complex technical information More ❯

catastrophe modelling, actuarial science, quantitative finance, or data science. Statistical Modelling Expertise: Real-world commercial experience in statistical modelling and probability. Programming Skills: Proficiency in scientific Python (essential), Spark, CUDA, and SQL. Familiarity with Databricks is a plus! Problem Solver: Strong analytical skills with the ability to work independently and collaboratively. Communication Skills: Ability to present complex technical information More ❯

catastrophe modelling, actuarial science, quantitative finance, or data science. Statistical Modelling Expertise: Real-world commercial experience in statistical modelling and probability. Programming Skills: Proficiency in scientific Python (essential), Spark, CUDA, and SQL. Familiarity with Databricks is a plus! Problem Solver: Strong analytical skills with the ability to work independently and collaboratively. Communication Skills: Ability to present complex technical information More ❯

ML researchers and data scientists. Nice to have: Python experience for interfacing with ML frameworks Experience with real-time systems or low-latency applications Knowledge of GPU computing and CUDA Background in numerical computing or scientific software Apply for this job indicates a required field First Name Last Name Email Phone Resume/CV Enter manually Accepted file types More ❯

simulated environments to real-world robot behavior. Enhance the efficiency of machine learning models through techniques like quantization, pruning, and other optimization methods. Harness the power of GPUs through CUDA, Python, or Jax to accelerate simulations and training processes. Qualifications: Solid understanding of control theory, with a focus on manipulation and locomotion tasks. Proficiency in Python/C++ and … deep learning frameworks like PyTorch. Extensive experience with GPU programming, including CUDA and GPU-accelerated libraries. Experience with robotics simulation frameworks (e.g., OpenAI Gym) is a plus. Experience working with physical robots is beneficial. Thrives in a fast-paced, dynamic environment and possesses the ability to contribute to all stages of product development. If you want to join a More ❯

to-end AI solutions at scale. Essential Requirements: Proven experience as an Engineering Manager delivering complex engineering projects. Expertise in developing GPU kernels and/or ML compilers (e.g., CUDA, OpenCL, TensorRT, MLIR, TVM). Experience optimizing systems to meet strict utilization and latency requirements. Excellent interpersonal and communication skills. Desirable: Experience with C++ and ML frameworks such as More ❯

to-end AI solutions at scale. Essential Requirements: Proven experience as an Engineering Manager delivering complex engineering projects. Expertise in developing GPU kernels and/or ML compilers (e.g., CUDA, OpenCL, TensorRT, MLIR, TVM). Experience optimizing systems to meet strict utilization and latency requirements. Excellent interpersonal and communication skills. Desirable: Experience with C++ and ML frameworks such as More ❯

in Computer Science, Engineering, Machine Learning, Artificial Intelligence, or a related field. Strong professional experience coding in modern C++ (advanced level). Practical expertise with GPU programming, specifically using CUDA or OpenCL. Solid background in debugging, optimization, and performance tuning. Clear communicator with a collaborative and proactive working style. Hands-on experience in image-based 3D reconstruction techniques such More ❯

at a low level. Proven ability to create parallelizable algorithm implementations for real-time video processing. Strong coding skills in C/C++. Desirable Skills and Abilities: Experience writing CUDA kernel code. Proficiency in optimizing algorithms for speed during both design and implementation stages. Familiarity with camera calibration and 3D reconstruction techniques. Strong presentation and communication skills, especially when More ❯

vision Familiarity with deep learning frameworks (PyTorch, TensorFlow, scikit-learn) Knowledge of CPU/GPU architecture and optimisation Experience with tools such as Visual Studio, gcc, CMake, Git, OpenCV, CUDA, Halcon, etc. Python or C# knowledge is considered a plus Familiarity with quality assurance practices including automated testing Professional proficiency in French and English are both required What's More ❯

CUDA Kernel Developer £80,000 - £90,000 + bonus & hybrid working! I'm currently working with a Cambridge-based, multinational Semiconductor scale-up who are focused on developing AI accelerators. You will have the opportunity to work in a rapidly changing environment where your new ideas will become innovative products, services, and customer experiences. They are a successful, growing … business, offering the chance for an engineer to progress their career and achieve future aspirations. They provide a stable and supportive environment. They are looking for a CUDA Kernel Developer to develop and optimise high-performance kernels for ML operators on NPU architectures. They are looking for an exceptional engineer to join a talented team of 5 engineers at … and accelerators specialised for Ai applications. You will also collaborate with the hardware and software teams to integrate kernels into the NPU framework. What's required for a successful CUDA Kernel Developer? Extensive experience in kernel development projects for GPUs Involvement in OpenCL, CUDA or similar parallel programming languages Understanding of ML frameworks - TensorFlow, PyTorch etc Strong C++ More ❯

and security. • Debugging and Defect Correction: Troubleshoot and resolve software defects with effective root cause analysis and debugging techniques. • GPU Configuration and Support: Configure and optimize GPU resources using CUDA or other technologies for compute-intensive workloads. • Automated Testing and Deployment: Implement test and deployment automation using Jenkins, GitLab CI/CD, or similar tools. • Collaboration: Work closely with … for software designs, development processes, and interfaces to support long-term project continuity What You Bring: • Active TS/SCI clearance with Full Scope Polygraph • Experience with GPU/CUDA development for high-performance applications • Familiarity with message queue implementations and communication protocols • Proficiency with Linux system programming and development environments • Strong analytical and problem-solving mindset • Excellent verbal More ❯

with research methodology. Desired: Familiarity with current LLM architectures (e.g. Llama3, DeepSeek V3) Familiarity with production LLM serving systems and inference optimizations (e.g. VLLM) Experience with accelerator programming (e.g. CUDA, Triton) and communication libraries (e.g. NCCL 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 ❯

and platform teams Troubleshoot and optimise GPU usage across a variety of hardware and OS environments What they’re looking for Solid experience with low-level GPU programming using CUDA, Vulkan, OpenCL, Metal or similar Strong C or C++ skills and a background in systems or performance engineering Deep understanding of how modern GPUs work, including memory and compute More ❯

and platform teams Troubleshoot and optimise GPU usage across a variety of hardware and OS environments What they’re looking for Solid experience with low-level GPU programming using CUDA, Vulkan, OpenCL, Metal or similar Strong C or C++ skills and a background in systems or performance engineering Deep understanding of how modern GPUs work, including memory and compute More ❯

and architecture of GPU IPs - Graphics Hardware Processors (5 - 10+ years' experience) Strong understanding of modern 3D graphics and/or compute APIs, such as Vulkan, D3D12 and OpenCL, CUDA etc. Definition of high-level GPU architecture/micro-architecture Confidence knowledge in the ASIC digital design flow Experience in R&D of the latest products and features Ability 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 ❯

Haves: Python (strong programming fundamentals) Modern C++ (C+/20) TensorRT for model optimisation PyTorch, PyTorch-Ignite Linux & Windows 10 experience GIT and collaborative software development Nice-to-Haves: CUDA OpenCV CMake & Visual Studio Typescript & Semantic UI React SSH and secure deployment workflows Bonus Skills: QT, JIRA, Confluence ClearML TeamCity for CI/CD What We Value: At Hawk More ❯

/CD pipelines using GitHub Actions . Experience with analytics platforms like Google Analytics and business intelligence tools like Tableau or Power BI. Knowledge of GPU-accelerated computing with CUDA is highly desirable. Excellent problem-solving skills and the ability to thrive in a fast-paced, high-intensity startup environment. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance More ❯

/CD pipelines using GitHub Actions . Experience with analytics platforms like Google Analytics and business intelligence tools like Tableau or Power BI. Knowledge of GPU-accelerated computing with CUDA is highly desirable. Excellent problem-solving skills and the ability to thrive in a fast-paced, high-intensity startup environment. 🌟 Cultural Fit - Intensity Required Ultralytics is a high-performance More ❯

for generative tasks via an inference framework such as Ray or KServe (or similar) Production experience with running and tuning specialized hardware for Generative AI workloads, especially GPUs via CUDA Measured and articulate written and spoken communication skills. You work well with others and can craft concise and expressive thoughts into correspondence: emails, issues, investigations, documentation, onboarding materials, and More ❯

of model architectures like transformers and CNNs. Hands-on experience with model optimization (i.e. quantization, pruning) and model deployment frameworks such as TensorRT, ONNX Runtime, and OpenVINO. Proficiency with CUDA programming and optimizing code for GPU acceleration. Strong background in MLOps practices, including CI/CD using GitHub Actions and containerization with Docker. Excellent problem-solving skills and the More ❯

of model architectures like transformers and CNNs. Hands-on experience with model optimization (i.e. quantization, pruning) and model deployment frameworks such as TensorRT, ONNX Runtime, and OpenVINO. Proficiency with CUDA programming and optimizing code for GPU acceleration. Strong background in MLOps practices, including CI/CD using GitHub Actions and containerization with Docker. Excellent problem-solving skills and the More ❯

global trading operations. Engineer core platform components: memory allocators, kernel bypass, custom RPC, and distributed compute frameworks. Optimise performance at the hardware/software boundary, including GPU acceleration and CUDA-based compute. Work on Linux kernel internals, networking stacks, and system-level debugging. Technical Requirements: 3+ years of experience in C++ (C++17/20) with strong knowledge of memory … management, concurrency, and performance tuning. Experience with GPU programming (CUDA), SIMD, and kernel-level development. Deep understanding of data structures, lock-free algorithms, and low-latency systems. Familiarity with Linux internals, system calls, and performance profiling tools. Background in platform engineering, distributed systems, or high-performance computing. Preferred Background: Participation in competitive programming contests (IOI, ICPC, Codeforces, etc.). More ❯