Senior Computer Vision System Performance Engineer

NVIDIA

full-time

Posted on: 9/3/2025

Origin: • 🇺🇸 United States • California, Washington

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💰 $184,000 - $356,500 per year

Senior

CloudGRPCPythonPyTorch

About the role

Develop, profile and optimize data-center and edge computer vision workloads for efficiency, latency, and throughput (Python)
Implement and improve computer vision and image processing algorithms using CUDA
Upstream performance improvements to SDKs and libraries across NVIDIA to deliver accelerated computer vision at scale
Influence software architecture, validation strategy and technical roadmaps to ensure outstanding performance
Promote high-performance computer vision across NVIDIA teams and functions (Engineering, Product Management, Marketing, and more)

Master's of Science in Computer Science or Electrical engineering or equivalent experience
8 years of practical experience
Excellent software engineering fundamentals (source control, CI/CD, testing/validation, packaging, containerization, release)
Proven track record developing, testing and releasing production-grade, complex software
Proficiency with Python, CUDA and C++
Strong fundamentals with multi-threaded, multi-process and distributed software development
Expertise defining and driving performance metrics through profiling and benchmarking
Experience developing performance-critical data center and cloud applications (REST APIs, gRPC)
Excellent written, visual, and verbal communication
Curiosity and drive to learn new technologies and partner across teams and functions
(Nice-to-have) Expertise in classical, non-ML computer vision
(Nice-to-have) Expertise in ML computer vision (VLMs, Vision Transformers, Diffusion models) and ecosystem: PyTorch, HuggingFace, vLLM
(Nice-to-have) Grounding in linear algebra, numerical methods, statistics, and exploratory data analysis
(Nice-to-have) History of creativity and innovation around performance in multiple problem domains