Nvidia Senior Computer Vision VLM Performance Engineer 

United States, Texas 

332534836

What you'll be doing:

• Develop, profile and optimize inference pipelines for VLMs and other AI CV models: improve throughput and latency, data loading, pre- and post-processing.

• Improve the efficiency of VLM models themselves: kernel optimization in CUDA

• Upstream improvements to SDKs and libraries across NVIDIA and beyond to deliver accelerated computer vision at scale.

• Promote high-performance AI computer vision across NVIDIA teams and functions (Engineering, Product Management, Marketing, and more).

What we need to see:

• Master's of Science in Computer Science or Electrical engineering or equivalent experience.

• 8 years practical experience or equivalent

• Expertise in AI computer vision (VLMs, Vision Transformers, Diffusion models). Proven track record using its software ecosystem (PyTorch, HuggingFace, vLLM) to develop and release production-grade software.

• Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release).

• Proficiency with Python, C++ and CUDA (kernel optimization)

• Experience developing cloud applications (REST APIs, gRPC).

• Excellent written, visual, and verbal communication to present performance challenges, tradeoffs, and architectural alternatives.

• Curiosity and drive to learn new technologies and partner across teams and functions.

Ways to Stand Out from the Crowd:

• Expertise in classical, non-ML computer vision

• Strong fundamentals with system-level performance: multi-threaded, multi-process and distributed software development.

• Grounding in mathematical fundamentals such as linear algebra, numerical methods, statistics, and exploratory data analysis.

• History of creativity and innovation around performance in multiple problem domains.