Senior DL Algorithms Engineer - Inference Performance

November 5

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NVIDIA

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GPU-accelerated computing • artificial intelligence • deep learning • virtual reality • gaming

10,000+

Description

• Deliver hyper-optimized recipes for DL inference as part of NVIDIA Inference Microservices (NIMs). • Analyze, validate and debug performance and accuracy characteristics of optimized models. • Benchmark state-of-the-art offerings in various DL models inference and perform competitive analysis for NVIDIA SW/HW stack. • Develop software, tooling and processes across multiple layers of the stack to streamline and scale the delivery of hundreds of optimized DL models. • Collaborate heavily with other SW/HW co-design teams to enable the creation of the next generation of AI-powered services.

Requirements

• PhD in CS, EE or CSEE or equivalent experience. • 5+ years of experience. • Experience with delivering results under tight timelines and rapidly changing requirements. • Strong background in deep learning and neural networks, in particular inference. • Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture. • Programming skills in C++ and Python. • Strong fundamentals in algorithms. • Experience and good understanding of LLMs and/or VLMs, RAG, drug discovery models. • Proven experience with processor and system-level performance modelling. • Experience with MLOps and DLOps, building CI/CD pipelines. • GPU programming experience (CUDA or OpenCL) is a strong plus but not required.

Benefits

• equity • benefits