Senior Deep Learning Architect, LLM Inference

NVIDIA is at the forefront of the generative AI revolution. The Inference Benchmarking (IB) team specifically focuses on inference server performance optimization for Large Language Models (LLMs). If you're passionate about pushing the boundaries of GPU hardware and software performance and understand terms like disaggregated serving, data parallel attention, MoE, Qwen3.5, DeepSeek, and GPT-OSS, this role is for you.

About the role

You will do workload characterization of the latest LLMs and inference servers like vLLM, SGLang, and TRT-LLM to ensure NVIDIA maintains its leadership position. Join forces with the performance marketing team to build engaging content, including blog posts and updates to InferenceX to highlight NVIDIA's outstanding inference achievements. Collaborate with engineers from AI startup companies to establish standard benchmarking methodologies. Develop a constantly evolving inference performance data results website. Invent end-to-end profiling and analysis tools to keep up with the rapid pace of Generative AI. Contribute to deep learning software projects, such as PyTorch, TRT-LLM, vLLM, and SGLang to drive advancements in the field. Verify that new GPU product launches produce industry-leading performance. Collaborate across the company to guide the direction of inference serving, working with software, research, and product teams to ensure best-in-class performance. Use the latest coding agents and inference technology to improve team efficiency.

Requirements

• Master's or PhD degree in Computer Science, Computer Engineering, related fields, or equivalent experience.
• 6+ years of relevant software development experience.
• Detailed knowledge of deep learning inference serving, PyTorch programming, profiling, and compiler optimizations.
• Experience developing client-server LLM applications with OpenAI API or MCP and identifying performance bottlenecks.
• Solid understanding of CPU and GPU microarchitecture and performance characteristics.
• Experience with complex software projects like frameworks, compilers, or operating systems.
• Demonstrated proficiency with the latest AI coding agents like Claude Code, Codex, and Cursor.
• Excellent written and verbal communication skills and the ability to work independently and collaboratively in a fast-paced environment.

Skills

• Drive to continuously improve software and hardware performance.
• Examples of novel use cases for agentic AI tools in the workplace.
• Experience with databases and visualization tools.

Pay

The base salary range is $184,000 USD - $287,500 USD for Level 4, and $224,000 USD - $356,500 USD for Level 5. You will also be eligible for equity and benefits.

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