Deep Learning Performance Architect
Listed on NVIDIA’s official careers site. Listed as of October 20, 2026. Check that it is still open and apply there.
Apply on NVIDIA’s careers site →Job description
NVIDIA is developing GPU and system architectures that accelerate deep learning, automotive and high-performance computing applications. We are looking for an expert deep learning performance architect to join our deep learning modelling, performance projections, analysis and optimization effort.
In this position, you will have the chance to optimize deep learning hardware and software architecture and make a significant impact in a dynamic technology focused company What you’ll be doing :
- Analyze performance of various deep learning algorithms on different architectures
- Identify architecture and software performance bottlenecks and propose optimizations
- Explore new features and hardware capabilities on deep learning applications What we need to see: BSc.
MS or PhD in relevant discipline (CS, EE, Math, etc.,) 5+ years of working experience in relevant directions will be a plus Be familiar with GPU or accelerator-based deep learning platform and software stack A strong background in computer architecture Experience on system architecture design and performance optimization Familiar with machine learning and deep learning frameworks
More jobs at NVIDIA
Deep Learning Performance Intern - 2027
China, Shanghai
LLM Reinforcement Learning Framework Engineer
China, Shanghai
Similar jobs at other companies
Z3_Senior Deep Learning Engineer (Engineering / 3D AI)
NTT · Bangalore, KA, IN, India
Intern- Deep Learning R&D for Automated Driving
Qualcomm · Seoul, Korea, Republic of
Senior Deep Learning Researcher – Model Efficiency - Qualcomm - Amsterdam
Qualcomm · Amsterdam Drenthe, North Holland, Netherlands
Internship in Domain Adaptation for Time-Series Using Deep-Learning f/m/d (80-100%)
ABB · Baden-Daettwil, Aargau, Switzerland