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.
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
September 19, 2024
🇺🇸 United States – Remote
💵 $180k - $276k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
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.
GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming
• Crafting a code generation system to accelerate machine learning framework graphs. • Partnering with NVIDIA’s teams to improve GPU performance in PyTorch. • Designing and supporting production AI solutions for enterprise customers and partners. • Optimizing performance of modern Deep Learning models for NVIDIA GPUs. • Collaborating with internal applied researchers to improve AI tools. • Advising design of new hardware generations.
• MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field. • Parallel programming experience with writing optimized kernels in NVIDIA CUDA or similar. • 4+ years of experience with C++ programming. • Demonstrated experience developing large software projects. • Excellent verbal and written communication skills.
• Eligible for equity and benefits.
Apply NowSeptember 19, 2024
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