NVIDIA
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.
Senior Software Developer, AI Networking
November 20
🗽 New York – Remote
🌲 North Carolina – Remote
+1 more states
💵 $184k - $287.5k / year
⏰ Full Time
🟠 Senior
🧑💻 Full-stack Engineer
🦅 H1B Visa Sponsor
NVIDIA
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.
📋 Description
• Developing a highly optimized inference framework • Running on the world’s largest supercomputers and data centers • Collaborating with team on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features
🎯 Requirements
• B.Sc. or equivalent experience in Computer Science or Software Engineering • 6+ years of experience in modern C++ / C / Rust development • 3 years of experience in Linux environment and familiarity with development tools • Deep knowledge of the TCP/IP network stack • Understanding of computer architecture and operating systems concepts • Background in Linux internals and low-level software optimizations (benchmarking, bottleneck research, performance tuning) is a plus • Experience in programming CUDA kernels is an advantage • Familiarity with ML frameworks and LLMs is a plus • Background in parallel programming / high-performance computing / RDMA technology is a plus
🏖️ Benefits
• Competitive salaries • Generous benefits package • Equity opportunities
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