FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Deep Learning Performance Architect
NVIDIADeep Learning Performance Architect focusing on AI performance modeling and optimization for NVIDIA's next-gen inference products. Analyzing DL networks and collaborating with cross-functional teams for innovative hardware/software designs.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analyzing and prototyping deep learning networks, with a strong focus on performance optimization and collaboration across teams to influence next-gen hardware and software solutions.
Highest-signal resume keywords
Deep Learning Network AnalysisAI Model ExperienceDeep Learning Framework FamiliarityHardware Architecture KnowledgeAnalytical Model Development
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Deep LearningPerformance OptimizationAnalytical ModelingAlgorithm DevelopmentHardware/Software Configuration
Soft Skills
CollaborationCommunication
Tools & Technologies
TorchJAXTensorFlowTensorRT
Industry Keywords
LLMAIGC ModelsInference ProductsPower AnalysisAccuracy Metrics
Tech Stack
Tools & technologiesTensorflow
About the role
Key responsibilities & impact- Analyze state of the art DL networks (LLM etc.)
- Identify and prototype performance opportunities to influence SW and Architecture team for NVIDIA's current and next gen inference products
- Develop analytical models for the state of the art deep learning networks and algorithm
- Specify hardware/software configurations and metrics to analyze performance, power, and accuracy
- Collaborate across the company to guide the direction of next-gen deep learning HW/SW
Requirements
What you’ll need- BS, MS or PhD in relevant discipline (CS, EE, Math, etc.) or equivalent experience
- 3+ years work experience
- Experience with popular AI models (e.g., LLM and AIGC models)
- Be familiar with typical deep learning SW framework (e.g., Torch/JAX/TensorFlow/TensorRT)
- Knowledge and experience on hardware architectures for deep learning applications
Benefits
Comp & perks- Competitive salaries
- Generous benefits package
- Work in a dynamic technology-focused company
- Opportunities for professional development