Base: $152,000 - $241,500 (level 3) or $184,000 - ...
Master's degree in computer science or related field
5+ years software development experience
Strong foundation in deep learning frameworks
The role focuses on developing novel optimization methods for next-generation inference targeting frontier workloads like multi-agent AI and generative multimodal models
Job Summary
The role focuses on developing novel optimization methods for next-generation inference targeting frontier workloads like multi-agent AI and generative multimodal models.
Candidates will characterize emerging workloads and optimize them across the entire inference stack from algorithmic to system levels.
NVIDIA offers a competitive base salary range of $152,000 to $287,500 depending on level, along with equity and benefits.
Matching Summary
The role focuses on developing novel optimization methods for next-generation inference targeting frontier workloads like multi-agent AI and generative multimodal models.
Salary
Base: $152,000 - $241,500 (Level 3) or $184,000 - $287,500 (Level 4); Bonus/Equity: Eligible for equity; Benefits: Comprehensive benefits package included
Skills & Requirements
Must-have
Master's degree in Computer Science or related field
5+ years software development experience
Strong foundation in deep learning frameworks
Proficiency in PyTorch
Experience with generative models and inferencing
Nice-to-have
Published research in deep learning
Experience with agentic AI systems
Familiarity with computer architecture
Growth mindset and pragmatic attitude
Collaboration across algorithms and performance teams
Key Requirements
Master's degree in Computer Science, AI, or Applied Mathematics
At least 5 years of relevant software development experience
Deep expertise in modern deep learning frameworks like PyTorch