Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX
$200,000–$379,500 year
On-site · Santa Clara, California, United States
Job Summary
Senior Applied AI and AI Infrastructure Engineer at NVIDIA focusing on design-for-X for AI in chip design and AI for predictions. Lead applied AI projects, develop and manage deployment cycles for AI infrastructure, coordinate between on-prem infrastructure and software development teams, monitor performance, automate deployments, and maintain code pipelines. Tackle hard problems in Design For Test using Gen AI, mentor junior engineers on test designs and trade-offs including cost and quality. Requires advanced degrees with 12+ years (BSEE), 10+ years (MSEE), or 6+ years (PhD) in AI infrastructure/ML/Gen AI, strong Python/C++, cloud experience (AWS/Azure/GCP), SQL/ETL, data modeling, multi-region distributed systems, and excellent communication.
Required Qualifications
- BSEE with 12+ years
- MSEE with 10+ years
- PhD with 6+ years in AI Infrastructure management, Applied Machine Learning and Gen AI
- Excellent knowledge in building agents and multi-agentic ecosystems
- Experience with SQL, ETL, and data modeling
- Hands-on experience with cloud platforms (AWS, Azure, GCP)
- Architect and optimize multi-region, globally distributed systems
- Lead data modeling, performance tuning, and capacity planning
- Strong programming skills in Python, C++
- Outstanding written and oral communication skills
Desired Qualifications
- BSEE with 12+ years
- MSEE with 10+ years
- PhD with 6+ years in AI Infrastructure management, Applied Machine Learning and Gen AI
- Excellent knowledge in building agents and multi-agentic ecosystems
- Experience with SQL, ETL, and data modeling
- Hands-on experience with cloud platforms (AWS, Azure, GCP)
- Architect and optimize multi-region, globally distributed systems
- Lead data modeling, performance tuning, and capacity planning
- Strong programming skills in Python, C++
- Outstanding written and oral communication skills
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