Principal Platform Architect, Agentic AI

Job Description

Join Nvidia's applied AI team for chip design and be part of transforming the landscape of the chip industry with cutting-edge technologies and innovation.

Requirements

• Master's or PhD degree in Electrical Engineering, Computer Science/Engineering, or a related discipline
• 15+ years of proven industry experience
• Skilled at rapidly taking products from concept to launch and scaling them massively
• Familiarity with modern software development stacks and tools
• Strong proficiency in Python, JavaScript, CI/CD, Kubernetes, Message broker architectures, data pipelines, test driven development
• Hands-on experience developing large-scale web applications and REST APIs
• Proactive approach to problem-solving and willingness to acquire new skills

Responsibilities

• Design, develop, and deploy large-scale high-performance enterprise-ready agent frameworks and tools
• Collaborate with engineering and applied AI teams to understand specific needs and challenges of chip design
• Develop and optimize retrieval and generation algorithms for enterprise data
• Collect & organize training/fine-tuning data and help build domain-specific large language models
• Optimize infrastructure for performance, scalability, and reliability
• Stay ahead by engaging with the latest advancements in machine learning and AI
• Maintain high-quality engineering practices

Benefits

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Flexible work arrangements
• Up to 6% 401K matching