
10,000+ employees
Founded 1993
🏥 Healthcare
🏠Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 0 minutes ago
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
đźź Senior
👷🏻‍♀️ Engineer
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10,000+ employees
Founded 1993
🏥 Healthcare
🏠Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Analyze the effect of different compilers and compiler optimizations on HPC application performance. • Evaluate whether and how the compiler and runtime can improve the performance of key HPC applications on CPU and CPU/GPU platforms. • Communicate limits of compiler capabilities with application engineering to guide the best path forward towards improving performance. • Port HPC applications to different platforms and programming models. • Evaluate the impact of NVHPC package components, device driver, and system configuration on application performance.
• BS/MS or equivalent experience in Computer Science or a related engineering field. • 5+ years of programming experience. • Solid understanding of Fortran, C, C++, and programming techniques, especially for parallel architectures, preferably for compilers. • Experience with OpenACC, OpenMP, MPI, CUDA and Standard Language Parallelism. • Strong skills in performance analysis and tuning, as well as a broad understanding of parallel applications development tools and runtime environments. • Strong mathematical fundamentals, including linear algebra and numerical methods. • Understand performance considerations, tradeoffs, and impact. • Expert interpersonal skills, a logical approach to problem-solving, good time management, and task prioritization skills. • Excellent written and verbal communication skills, along with the ability to work in a dynamic development team.
• Competitive salary • Comprehensive benefits package
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