
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.
May 13
🏄 California – Remote
🗽 New York – Remote
💵 $272k - $425.5k / year
⏰ Full Time
🔴 Lead
🖥 Software Engineer
🦅 H1B Visa Sponsor

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.
• Research and develop techniques to accelerate top CSP workloads on NVIDIA’s computing platform including advanced CPUs, GPUs and interconnects. • Work directly with key customers to perform in-depth analysis and optimization of complex workloads to ensure the best possible performance on current and next-generation hardware. • Collaborate with libraries, tools, system software architecture, hardware, and research teams at NVIDIA to influence the design of next-generation programming models, software, and architectures.
• A Masters degree in Computer Science, Computer Engineering, or related computationally focused science degree (or equivalent experience). • 10+ years of relevant work experience or research. • Programming proficiency in C/C++ with a deep understanding of software design, programming techniques, and algorithms. • A background that includes parallel programming, ideally CUDA C/C++. • Hands on experience doing low-level performance optimizations. • In-depth expertise with CPU and GPU architecture fundamentals. • Strong mathematical fundamentals, including linear algebra and numerical methods. • Good communication and organization skills, with a logical approach to problem solving, and prioritization skills.
• You will also be eligible for equity and benefits
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