NVIDIA
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.
Senior Software Engineer – AI Inference
🔥 16 hours ago
🏄 California, New York, +1 more states – Remote
💵 $152k - $241.5k / year
⏰ Full Time
🟠 Senior
🤖 AI Engineer
🦅 H1B Visa Sponsor
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NVIDIA
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.
📋 Description
• Contribute features, fixes, and optimizations upstream to vLLM/SGLang • Implement and optimize inference‑runtime capabilities • Profile and improve hot paths across layers • Improve multi‑GPU inference performance and reliability • Build and maintain performance and correctness regression tests • Collaborate with model, platform, and SRE teams
🎯 Requirements
• 5+ years building production software with solid systems engineering fundamentals • Experience with LLM inference/serving stacks (e.g., vLLM, SGLang) • Strong programming skills in Python plus C++ and/or CUDA • Experience with profiling and performance investigation • Familiarity with distributed systems concepts and concurrency • BS/MS in Computer Science, Computer Engineering, or related field (or equivalent experience)
🏖️ Benefits
• equity • benefits
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