1 to 25 of 30 Parallel Computing Jobs

Compute Library Engineer in Cambridge, UK About Neubla As pioneers of innovative neural computing, Neubla is transforming the future of computing by bringing the enormous potential of neural computing to the highest performance in most data-intensive applications. Neubla is made up of people with expertise and … 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 (e.g., Git, Jira, etc. … Familiarity with hardware architecture and system-level understanding of NPUs or GPUs Knowledge of performance profiling tools and methodologies Contributions to projects related to parallel computing or machine learning The Process Application review > 1st Interview > 2nd Interview (technical) > 3rd Interview more »

Job DescriptionCompute Library Engineer in Cambridge, UKAbout NeublaAs pioneers of innovative neural computing, Neubla is transforming the future of computing by bringing the enormous potential of neural computing to the highest performance in most data-intensive applications. Neubla is made up of people with expertise and lots … 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 languagesExperience in SIMD/vector processing experience(RISC-V Vector) Strong software development skills using standard development tools (e.g., Git, Jira, etc.)Basic … low-latency applicationsFamiliarity with hardware architecture and system-level understanding of NPUs or GPUsKnowledge of performance profiling tools and methodologiesContributions to projects related to parallel computing or machine learningThe ProcessApplication review > 1st Interview > 2nd Interview (technical) > 3rd Interview more »

on specialized hardware Optimizing AI model inference pipelines for performance, efficiency, and scalability on hardware accelerators Hardware-software co-design Desired experience Knowledge of parallel computing principles and experience with parallel programming models (e.g., MPI, OpenMP) for distributed AI processing What’s on offer? Competitive base, share more »

compute systems Deep understanding of transformer/LLM architectures Hardware bottlenecks and how to mitigate them SW-HW co-design Desired experience Knowledge of parallel computing principles and experience with parallel programming models (e.g., MPI, OpenMP) for distributed AI processing What’s on offer? £100-150k more »

strategies, utilizing advanced mathematical models and machine learning techniques. Optimizing and fine-tuning existing Python codebase for maximum efficiency and scalability, employing techniques like parallel computing, asynchronous programming, and memory management. Spearheading the adoption of best practices and coding standards within the Python development team, ensuring code quality … with financial markets and trading concepts, including equities, derivatives, options, and futures, coupled with a strong quantitative background and analytical mindset. Experience with cloud computing platforms such as AWS, Azure, or GCP, and containerization technologies like Docker and Kubernetes. The ideal candidate will be a Python luminary with a more »

on specialised hardware. Strong understanding of hardware-software co-design principles, including memory hierarchy optimisation, cache management, and hardware/software partitioning. Knowledge of parallel computing principles and experience with parallel programming models (e.g., MPI, OpenMP) for distributed AI processing. Deep understanding of AI model architectures, algorithms more »

on specialised hardware. Strong understanding of hardware-software co-design principles, including memory hierarchy optimisation, cache management, and hardware/software partitioning. Knowledge of parallel computing principles and experience with parallel programming models (e.g., MPI, OpenMP) for distributed AI processing. Deep understanding of AI model architectures, algorithms more »

Algorithms, Algorithmic Trading, Electronic Trading, E-Trading, Systematic Trading, High-Frequency Trading, HFT, High Frequency, Startup, Scaleup, Prop Trading, Execution, Algo Trading, Quant Trading, Parallel Computing, Optimisations, Low-Latency, Algorithms, Distributed Systems, Market Data, Connectivity, Trading Engine, Systems Design, Hardware, Kernel, Sockets, Networking, TCP/UDP, Systems Programming more »

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 fieldIf you are a C++ Software Engineer looking for an exciting opportunity in the more »

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 fieldIf you are a Senior C++ Software Engineer looking for an exciting opportunity in more »

code/engineering debt. Key Skills: Extensive experience with Machine Learning and Spark/PySpark Recommendation systems, pattern recognition, data mining, artificial intelligence Modern Parallel Computing; distributed clusters, multicore servers, GPU’s Experience with developing machine learning models at scale Developing and debugging in C/C++ and more »

C++ knowledge to include demonstrable practical exposure to Template classes, PIMPL, Type casting etc Strong skills in Python programming. Experience with GPU programming and parallel computing is highly desired. Practical exposure to AI and deep learning techniques, with practical experience in developing models in Computer Vision. Proficiency with more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »

good understanding of design choices for data storage and data processing, with a particular focus on cloud data services. You have experience in using parallel computing to process large datasets and to optimise computationally intensive tasks. You have experience in programmatically deploying, scheduling and monitoring components in a more »