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Senior Software Engineer at NVIDIA
Job Description & How to Apply Below
In this senior position, you will focus on enhancing the vLLM inference framework and developing GPU kernels. Your work will involve multi-GPU and multi-cloud deployments, ensuring top-tier performance benchmarks in AI systems. Collaboration with various teams on cutting-edge artifacts will be a key part of your day-to-day activities.
Key Responsibilities:
• Architect high-performance inference stacks to boost efficiency
• Optimize GPU kernels with fusion and autotuning techniques
• Contribute to the MLPerf Inference benchmarking suite
• Collaborate on container orchestration for AI workloads
• Engage in research to enhance ML system performance
Requirements:
• Master's in relevant field with over 5 years experience
• Proficiency in Python and C/C++ languages
• Strong background in distributed systems and deep learning
• Experience with container technologies like Docker
• Excellent communication and debugging skills
Bring your expertise in AI systems and GPU programming to NVIDIA for groundbreaking advancements.
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Position Requirements
10+ Years
work experience
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