
10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
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
🏄 California, Oregon, +2 more states – Remote
💵 $152k - $241.5k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
👷🏻♀️ Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1993
🤖 Artificial Intelligence
🎮 Gaming
Artificial Intelligence • Gaming • Automotive
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 • 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 • Strong mathematical fundamentals, including linear algebra and numerical methods • Expert interpersonal skills • Excellent written and verbal communication skills
• Competitive salaries • Comprehensive benefits package • Equity eligibility
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