Senior Deep Learning Performance Architect
- Company
- NVIDIA
- Location
- Remote, Canada, United States
- Salary
- 152 000–287 000 $/yr
- Posted
- 2026-09-29
Skills: Deep Learning, Machine Learning, Python
We are now looking for a Senior Deep Learning Performance Architect!
NVIDIA seeks a Senior DL Performance Architect to join our group of pioneers who enjoy pushing AI Inference performance boundaries. Our team focuses on ambitious hardware-software co-design to speed AI Inference workloads. This role gives an outstanding opportunity to develop world-class performance strategies, guide future GPU architecture decisions, and lead AI innovation. If you are passionate about AI efficiency Pareto curves, have a proven record of modeling LLM performance and architecting AI systems, and enjoy optimizing every cycle, this role may be perfect for you!
What you'll be doing:
• Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency • Construct, investigate, and test popular deep learning algorithms and applications • Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications • Build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture • Collaborate across the company to guide the direction of AI, working with software, research, and product teams
What we need to see:
• A MS or PhD in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience • Strong mathematical foundation in machine learning and deep learning • Expert…
Full text and application on the employer's site.