Senior GPU Verification Architect
Job Description
NVIDIA, the pioneer in visual computing and GPU technology, is seeking a Senior GPU Verification Architect to join their innovative team. This role combines traditional hardware verification with cutting-edge AI applications, focusing on developing and verifying GPU/SOC architectures while integrating GenAI solutions. The position offers a unique opportunity to work at the intersection of hardware architecture and artificial intelligence, with responsibilities spanning from verification test planning to implementing GenAI applications in architectural workflows.
The ideal candidate will bring 7+ years of experience with an advanced degree in Computer Science or related fields, combining deep expertise in computer architecture with modern AI/ML technologies. You'll be working with state-of-the-art LLMs and multimodal models while ensuring the reliability and performance of NVIDIA's GPU products.
NVIDIA offers competitive compensation with a base salary range of $184,000 - $356,500 USD (depending on level), plus equity and comprehensive benefits. The company is known for its forward-thinking approach and is consistently ranked as one of the most desirable employers in the technology sector. This role provides an exceptional opportunity to work on groundbreaking technology that impacts various industries, from AI and robotics to self-driving cars.
The position is based in Santa Clara, CA, at NVIDIA's headquarters, where you'll collaborate with some of the brightest minds in the industry. The company maintains a strong commitment to diversity and inclusion, fostering an environment where innovation and creativity thrive.
Responsibilities For Senior GPU Verification Architect
- Develop and verify GPU/SOC architectures while integrating GenAI applications
- Define, build, and drive verification test plans for GPU products
- Triage failures and implement fixes to drive bugs to closure
- Guide improvement of simulation platform for future GPU/SOC architectures
- Build and evaluate prototypes using LLMs and multimodal models
- Develop and deploy scalable GenAI applications
- Build full-stack applications and ML ops pipelines
- Ensure compliance with data privacy, IP protection, and design standards
Requirements For Senior GPU Verification Architect
- MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering with 7+ years experience
- Background in Computer Architecture with modeling experience
- Proficiency in C++, Python and ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers, LangChain)
- Hands-on experience with LLMs and multimodal models
- Strong collaboration skills with design and engineering teams
- Strong problem-solving and debugging skills
Benefits For Senior GPU Verification Architect
- Equity
- Medical Insurance
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