
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.
🔥 32 minutes ago
🏄 California, Oregon, +2 more states – Remote
💵 $184k - $287.5k / year
⏰ Full Time
🟠 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.
• Assist customers in GPU-accelerating HPC applications • Analyze High Performance Computing applications to understand their performance characteristics • Provide advice to and drive compiler and applications engineering development teams based on HPC application analysis • Analyze applications ranging from single-core synthetic benchmarks to distributed-memory systems with heterogeneous CPUs, GPUs, and many-core processors • Identify optimization opportunities for compiler development teams and application engineering teams
• BS/MS or equivalent experience in Computer Science or related engineering field • 8+ Years of programming experience • Solid understanding of Fortran/C/C++, especially programming techniques for parallel architectures and preferably compilers • Experience with OpenACC, OpenMP, MPI, and CUDA • Strong skills in performance analysis and tuning • Broad understanding of parallel applications development tools and runtime environments • Strong mathematical fundamentals, including linear algebra and numerical methods • Understanding of performance considerations, tradeoffs, and impact • Expert interpersonal skills, logical approach to problem solving, good time management, and task prioritization skills • Excellent written and verbal communication skills • Ability to work in a dynamic product-oriented team
• Equity • Benefits
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