Senior DL Algorithms Engineer - Inference Performance

Implement language and multimodal model inference as part of NVIDIA Inference Microservices (NIMs).

Contribute new features, fix bugs and deliver production code to TRT-LLM, NVIDIA’s open-source inference serving library.

Profile and analyze bottlenecks across the full inference stack to push the boundaries of inference performance.

Benchmark state-of-the-art offerings in various DL models inference and perform competitive analysis for NVIDIA SW/HW stack.

Collaborate heavily with other SW/HW co-design teams to enable the creation of the next generation of AI-powered services.

PhD in CS, EE or CSEE or equivalent experience.

5+ years of experience.

Strong background in deep learning and neural networks, in particular inference.

Experience with performance profiling, analysis and optimization, especially for GPU-based applications.

Proficient in C++, PyTorch or equivalent frameworks.

Deep understanding of computer architecture, and familiarity with the fundamentals of GPU architecture.

Proven experience with processor and system-level performance optimization.

Deep understanding of modern LLM architectures.

Strong fundamentals in algorithms.

GPU programming experience (CUDA or OpenCL) is a plus

You will also be eligible for equity and benefits .

This posting is for an existing vacancy.