Cambridge, England, United Kingdom Hybrid / WFH Options
European Recruitment
relevant industry experience developing kernels for hardware accelerators. Strong knowledge of CPU, GPU, NPU, or VPU microarchitecture. Extensive experience in parallel programming in either CUDA or OpenCL. Strong software development skills (including strong skills in C/C++) and a basic understanding of ML frameworks. Strong expereince with SIMD … is highly advantageous. Keywords: Compute Library/CL/Parallel Programming/CUDA/OpenCL/Microarchitecture/Micro-architecture/Micro Architecture/Git/Jira/Machine Learning/ML/Tensorflow/Pytorch/C/C++/NPU/CPU/GPU/VPU If more »
and Websockets particularly those used by Crypto exchanges Experience working in a Linux environment Nice-to-haves: Knowledge of GPU programming such as using CUDA Previous experience writing execution trading strategies and managing trading systems This is an exceptional mandate - please let me know if interested. more »
of 5 years of experience in kernel development for NPUs, GPUs, or similar hardware accelerators from 3 ~ 5 years (ML, linear algebra) Proficiency in CUDA, OpenCL, or similar parallel programming languages Experience in SIMD/vector processing experience(RISC-V Vector) Strong software development skills using standard development tools more »
Contract - Hybrid Working - Leuven An exciting opportunity for a CUDA Expert has arisen with a well-funded fabless semiconductor start up, developing holographic chip technology, based in Leuven. This is a great opportunity for a CUDA Expert to be part of the core software team for holographic displays … focusing on CUDA programming to power state of the art algorithms for the generation of holograms with the latest hardware. Experience of the CUDA Expert will include: BSc or MSc in Computer Science Proven experience working with CUDA Good understanding of C++ Cross application development including Linux … Windows and Mac Fluent EnglishIf you are a CUDA Experience looking for an exciting new challenge within a company working on cutting edge technology, then please apply today to learn more. more »
working model, required onsite 2-3 days a week. Experience for the Compute Library Engineer will include: Programming with C++ High performance computing experience (CUDA, OpenCL, OpenMP, MPI) Optimisation of compute libraries (Intel VTune, NVIDIA Nsight, Perf) Understanding of computer architecture at system levelIf you are a Compute Library more »
Experience with Scripting and Automation (Ansible, Python, Shell Scripting) Solid understanding of job schedulers (LSF/SLURM) Experience with GPU-based compute infrastructure (including CUDA) - H ybrid- 2 days per week onsite - 3 remote. Location 633 Third Avenue. NYC Are you ready to learn more about our Benefits? Pay more »
solutions and working within CI/CD frameworks Experience with Linux systems and cloud infrastructure (AWS, Azure, etc.) Experience developing embedded ML applications (C++, CUDA, TensorRT) Language Skills: Good level of English, spoken and written Personal Skills: Capability to integrate in and work within a trans-European team Solid more »
solutions that enhance client efficiency and scalability. Required Skills Expertise in AI, machine learning algorithms, and frameworks like TensorFlow and PyTorch. Proficiency in NVIDIACUDA, C++, Python, and relevant data processing frameworks. Experience in GPU computing and familiarity with high-performance architectural components. Ability to develop and deploy AI more »
in shaping an internal rendering tool. As a key member of the team, you'll delve into the depths of compute shaders, GLSL, and CUDA to drive advancements in ray tracing, photogrammetry, image processing, and computer vision. Your expertise will be instrumental in enhancing rendering capabilities and pushing the more »
Parma, Province of Parma, Emilia-Romagna Hybrid / WFH Options
IC Resources
a hybrid working mode, required onsite 3 days a week. Experience of the Software Engineer will include: Object-oriented programming with C++ Development with CUDA Simulator experience Scripting with Python or Bash Fluent Italian and EnglishIf you are a Software Engineer looking for an exciting new challenge within a more »
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 more »
machine learning models supporting motion planning, and their integration into Oxa Driver™ across multiple platforms. Deploy models to NVIDIA hardware, writing custom C++ and CUDA code as needed. Leverage cloud tooling and infrastructure to create repeatable model optimisation and deployment workflows. Design and implement metrics for model validation and … modern deep learning frameworks and runtimes (e.g., PyTorch, TensorFlow, ONNX, TensorRT). Experience developing efficient C++ code for modern CPUs. Experience with GPGPU/CUDA programming. Hands-on experience working with software profiling and debugging tools. Proven record of leading and delivering projects as part of a team. Effective more »
for the highest standards to make our application robust and reliable Requirements: 2/3 years industry experience good background in Python Experience with: Cuda, Docker, FastAPI are a MUST Understanding of infrastructure, application architecture and deployment processes APPLY NOW – send your cv to: henry.wilton@opusrs.com more »
research, developing their code base and tackling optical challenges. What's required? Strong C/C++ and Python skills Experience with a variety of: CUDA, OpenGL, Vulkan, DirectX, Unity Cross platform development - Linux, Windows, Android Interest/experience with parallel computing Bonus - An interest in the AR/VR more »
on proficiency in C/C++. 3.Working experience in GPU or GPGPU UMD driver development. 4.Proficiency and working experience with GPGPU APIs such as CUDA/HIP/OpenCL. Preferred Qualifications: 5.Familiarity with CUDA or ROCm development and debugging. 6.Good understanding of GPU hardware/software architecture, including more »
Senior ML Engineer Engineer - £80-110k ***Python, C++, Machine Learning, LLM, HPC, GPU, CUDA*** Location: Hybrid/London Sector: AI Products & Solutions Please note - sponsorship is not available for this role. This is a leading AI product and solutions company who operate globally and work at the forefront … in scaling ML models, with a focus on performance, speed and optimisation. You would have experience working on HPC, GPU's and/or CUDA kernels across distributed systems. Ideally you have experience across Python, C/C++. Please send your CV to find out more. I look forward more »
development of GPU hardware, providing insights into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of … with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date: 2024-04-26 While subject to change more »
development of GPU hardware, providing insights into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of … with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date: 2024-04-26 While subject to change more »
development of GPU hardware, providing insights into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of … with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date: 2024-04-26 While subject to change more »
development of GPU hardware, providing insights into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of … with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date: 2024-04-26 While subject to change more »
development of GPU hardware, providing insights into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of … with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date: 2024-04-26 While subject to change more »
development of GPU hardware, providing insights into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of … with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date: 2024-04-26 While subject to change more »
development of GPU hardware, providing insights into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of … with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date: 2024-04-26 While subject to change more »
development of GPU hardware, providing insights into hardware architecture to ensure efficient interaction with software components. Maintain and update hardware designs as needed. 4. CUDA (Compute Unified Device Architecture)/OpenCL (Open Computing Language) Programming: Develop and optimize applications using CUDA or OpenCL, harnessing the full potential of … with container technologies (Docker, Kubernetes) Experience with Prometheus/Grafana for monitoring Knowledge of distributed resource scheduling systems Slurm (preferred), LSF, etc. Familiarity with CUDA and managing GPU-accelerated computing systems Basic knowledge of deep learning frameworks and algorithms Original Posting Date: 2024-04-26 While subject to change more »
