1 to 25 of 31 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 »

Specialist for AI Infrastructure and GPU Workloads – with FSI, Healthcare, Government or high-tech/start-ups focus Oracle is a leader in cloud computing worldwide, with over 130,000 employees. We offer pioneering AI infrastructure that helps businesses with advanced artificial intelligence and machine learning. From powerful GPU … Governments or high-tech/start-ups, to drive adoption of the Oracle cloud. The ideal candidate will have a strong background in cloud computing, GPU architectures, and AI technologies, along with a passion for innovation and problem-solving. What You’ll Do : Design, deploy, and optimize AI infrastructure … innovation while focusing on sector-specific partner and open-source solutions Research and evaluate emerging technologies and standard processes in AI infrastructure and GPU computing to drive continuous improvement. Create eloquent and compelling written assets proficiently, encompassing both external publications and internal documentation, particularly focusing on our open-source 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 »

wider business to gather requirements, driving projects from inception to deployment. You will leverage your expertise across object-oriented software engineering, quantitative modelling, cloud computing, and data analysis to help improve the models underpinning our most business-critical cashflow and pricing engines. You will come up with ad-hoc … have: • A good first degree or higher degree in a highly numerate subject is essential • Minimum 2 years' experience in Python development, including scientific computing and data science libraries (NumPy, pandas, SciPy, PySpark) • Solid understanding of object-oriented software engineering design principles for usability, maintainability and extensibility • Experience working … of: • An enthusiastic problem-solving mindset with a desire to solve technical problems and model/forecast intricate real-life systems • Good knowledge of parallel computing techniques (Python multiprocessing, Apache Spark), and performance profiling and optimisation • Good understanding of data structures and algorithms • The ability to communicate complex 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 »

with a strong understanding of object-oriented design principles. Proficiency in Nvidia CUDA programming and GPU optimization techniques. Experience with Nvidia GPU architectures and parallel computing frameworks. Solid understanding of software development best practices, including version control and testing methodologies. Excellent problem-solving and analytical skills. Strong communication more »

to recent success and growth for their diverse portfolio of products and services. You will be responsible for optimizing, managing, and scaling high-performance computing (HPC) environments. Our client are at the forefront of innovation, driving the boundaries of what's possible with high-performance computing. Their team of … utilization. -Crafting and implementing monitoring solutions to identify and address potential issues proactively. -Collaborating with researchers, engineers, and developers to optimize application performance and parallel computing efficiency. -Troubleshooting and resolving system, network, and software problems to keep operations running smoothly. -Implementing security measures to protect sensitive data and … in their industry sector and will offer further personal and carer development. If you're a Linux aficionado with a passion for high-performance computing, my clients wants to hear from you! If the above sounds like you, please get your CV in for a quick turnaround more »

s global R&D activity, conducts research and innovation – achieving together whilst supporting our employees. We are currently looking for a researcher in our Computing Research Group, working on exploring how the use Graph Neural Networks for healthcare related applications. We have a strong preference for the development of … languages (Python preferred) A track record of writing academic publications Excellent written and verbal communication skills The following skills are desirable: -Large scale/parallel computing -Multi-modal or explainable machine learning methods -Working with knowledge graphs and graph databases Achieve together We want the best people on 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 »

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 »

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 »