1 to 25 of 41 Parallel Computing Jobs

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 GPU hardware for parallel processing, high-performance computing … performance optimization. Expertise in operating system integration for Linux. Strong understanding of computer hardware architecture, particularly as it relates to Linux systems. Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments. Familiarity with GPU debugging tools and profiling software for Linux. Excellent problem-solving … at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Clearance TS more »

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 GPU hardware for parallel processing, high-performance computing … performance optimization. Expertise in operating system integration for Linux. Strong understanding of computer hardware architecture, particularly as it relates to Linux systems. Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments. Familiarity with GPU debugging tools and profiling software for Linux. Excellent problem-solving … at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Clearance TS more »

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 GPU hardware for parallel processing, high-performance computing … performance optimization. Expertise in operating system integration for Linux. Strong understanding of computer hardware architecture, particularly as it relates to Linux systems. Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments. Familiarity with GPU debugging tools and profiling software for Linux. Excellent problem-solving … at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Clearance TS more »

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 GPU hardware for parallel processing, high-performance computing … performance optimization. Expertise in operating system integration for Linux. Strong understanding of computer hardware architecture, particularly as it relates to Linux systems. Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments. Familiarity with GPU debugging tools and profiling software for Linux. Excellent problem-solving … at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Clearance TS more »

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 GPU hardware for parallel processing, high-performance computing … performance optimization. Expertise in operating system integration for Linux. Strong understanding of computer hardware architecture, particularly as it relates to Linux systems. Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments. Familiarity with GPU debugging tools and profiling software for Linux. Excellent problem-solving … at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Clearance TS more »

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 GPU hardware for parallel processing, high-performance computing … performance optimization. Expertise in operating system integration for Linux. Strong understanding of computer hardware architecture, particularly as it relates to Linux systems. Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments. Familiarity with GPU debugging tools and profiling software for Linux. Excellent problem-solving … at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Clearance TS more »

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 GPU hardware for parallel processing, high-performance computing … performance optimization. Expertise in operating system integration for Linux. Strong understanding of computer hardware architecture, particularly as it relates to Linux systems. Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments. Familiarity with GPU debugging tools and profiling software for Linux. Excellent problem-solving … at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Clearance TS more »

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 GPU hardware for parallel processing, high-performance computing … performance optimization. Expertise in operating system integration for Linux. Strong understanding of computer hardware architecture, particularly as it relates to Linux systems. Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments. Familiarity with GPU debugging tools and profiling software for Linux. Excellent problem-solving … at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Clearance TS more »

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 GPU hardware for parallel processing, high-performance computing … performance optimization. Expertise in operating system integration for Linux. Strong understanding of computer hardware architecture, particularly as it relates to Linux systems. Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments. Familiarity with GPU debugging tools and profiling software for Linux. Excellent problem-solving … at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Clearance TS more »

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 GPU hardware for parallel processing, high-performance computing … performance optimization. Expertise in operating system integration for Linux. Strong understanding of computer hardware architecture, particularly as it relates to Linux systems. Knowledge of parallel computing, graphics algorithms, and real-time rendering in Linux environments. Familiarity with GPU debugging tools and profiling software for Linux. Excellent problem-solving … at a minimum, meet DoD 8570.11- IAT Level II certification requirements (currently Security+ CE, CCNA-Security, GICSP, GSEC, or SSCP along with an appropriate computing environment (CE) certification). An IAT Level III certification would also be acceptable (CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, CCSP). Clearance TS 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 »

Computer Science, EE, Mathematics or similar Minimum 4+ years in industry and after academia, as an ML Engineer in the domain of high-performance computing and specialized AI-hardware platforms i.e. an AI processor chip Deep understanding of transformer/LLM architectures Model optimisation methods (quantization, compression, and optimization … AI into large scale datacentre compute systems Hardware bottlenecks and how to mitigate them SW-HW co-design TensorFlow, PyTorch 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? £80-120k 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 »

in designing, developing and maintaining forecasting models and analytical tools. You will need to leverage your skills in OO software engineering, quant modelling, cloud computing and data analysis to help improve the models underpinning critical engines. Key Responsibilities: · Design and build short and long-term models in line with … documentation · Explore and clean datasets required for modelling purposes with a focus on optimising data pipelines Skill & Experience: 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 … with Git in a version-controlled environment Good knowledge of parallel computing techniques (Python multiprocessing, Apache Spark), and performance profiling and optimisation Good understanding of data structures and algorithms Experience with cloud platforms desirable (Azure, AWS or GCP) Experience working with Machine Learning libraries (scikit-learn, PyTorch) and 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 »

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 »

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 »