Nvidia Deep Learning Algorithm Engineer Agentic LLM Inference - New College Grad 

United States, Texas 

666807942

What you'll be doing:

• Research and Development: Explore and incorporate contemporary research on generative AI, agents, and inference systems into the NVIDIA LLM software stack.

• Workload Analysis and Optimization: Conduct in-depth analysis, profiling, and optimization of agentic LLM workloads to significantly reduce request latency and increase request throughput while maintaining workflow fidelity.

• System Design and Implementation: Design and implement scalable systems to accelerate agentic workflows and efficiently handle sophisticated datacenter-scale use cases.

• Collaboration and Communication: Advise future iterations of NVIDIA software, hardware, and system by engaging with a diverse set of teams at NVIDIA and external partners and formalizing the strategic requirements presented by their workloads.

​What we need to see:

• BS, MS, PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).

• Experience in deep learning and deep learning systems design.

• Proficiency in Python and C++ programming

• Strong understanding of computer architecture, and GPU/parallel datacenter computing fundamentals.

• Proven interest in analyzing, modeling, and tuning application performance.

Ways to stand out from the crowd:

• Experience in building large-scale LLM inference systems, especially those involving compound AI.

• Experience with agentic LLM frameworks such as Langchain and LLamaIndex.

• Experience with processor and system-level performance modeling.

• GPU programming experience with CUDA or OpenCL.