26 to 50 of 50 Permanent CUDA Jobs

with AFSIM, including plugin/module development and simulation integration. Hands-on experience with LIDAR and SAR data processing, including algorithm development and performance modeling. Proficiency in C++, Python, CUDA, and embedded systems programming. Strong background in machine learning, signal processing, and parallel computing. Proven track record as a Principal Investigator on SBIR/STTR or other government-funded More ❯

products with the latest machine learning advancements. Requirements include strong programming skills in Python, C, C++, experience with deployment platforms, and familiarity with NLP, computer vision, TensorFlow, PyTorch, JAX, CUDA, LLMs, and related technologies. A degree in a relevant field and a solid AI R&D track record are essential. More ❯

reason through quantitative problems and communicate effectively with trading researchers Reliable and predictable availability Bonus Points Experience with HPC and distributed large model training Experience with GPU performance optimization (CUDA or ROCm) Experience with end-to-end model development, especially in LLMs Prior academic publications and/or contributions to open-source AI research Strong opinions on best practices 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 ❯

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 ❯

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 ❯

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 ❯

culture. When we feel supported in the workplace and at home, there's nothing we can't achieve. - Bachelor's degree in technical discipline with experience in accelerated compute, CUDA, and distributed training. - Experience in business development, product management, management consulting, and managing strategic partnerships. - Experience developing and executing on GTM strategies that are large in scope. - Working knowledge More ❯

create insights, that's a plus. Deeper systems knowledge. Extra experience 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 ❯

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 ❯

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 ❯

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 ❯

/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 ❯

experience self-hosting & operating models at scale via an inference framework such as Ray or KServe (or similar) Production experience with running and tuning specialized hardware, especially GPUs via CUDA Nice-to-have: Production experience of self-hosting inference for LLMs in a production environment Measured and articulate written and spoken communication skills. You work well with others and More ❯

Stevenage Onsite (Ask about our 4-day compressed available) SC cleared Hertfordshire or South-West 12 Month contract (Subject to ext) UKEO Clearance Essential Experience C/C++ and CUDA programming GPU/CPU optimisation, Memory Management Technical report writing Object-Oriented Programming Desirable Network Programming Configuration control and model release processes Continuous Integration and Testing Proficiency in MATLAB 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 ❯

level position 5+ years' experience in software development. Good development skills in cloud visualization applications where knowledge is key. Computer Graphics WebGL OpenGL HTML5 MEAN stack. Java/C++ CUDA Augmented/Virtual Reality Game Engines Video streaming a plus. Please, get in touch to discuss and apply for this exciting role More ❯

with the latest developments in model optimization, inference engines, quantization methods, and related technologies. Requirements Proven professional experience optimizing neural network inference workloads. Strong expertise with TensorRT, Triton language, CUDA programming. Experience with neural network quantization techniques. Proficiency in Python and PyTorch. Deep understanding of GPU architectures and performance optimization. Excellent problem-solving skills and ability to analyze performance More ❯

deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work More ❯

deploying machine learning onto a range of hardware from resource constrained embedded systems through to edge computing is desirable. As is any knowledge of GPU programming languages and frameworks (CUDA, ROCm, etc). Your future colleagues will be similarly highly skilled, with experience across industry and the drive to innovate. You will find yourself in a low-management work More ❯