Senior GPU Verification Architect
at Nvidia
π Santa Clara, United States
USD 184,000-356,500 per year
SCRAPED
Used Tools & Technologies
Not specified
Required Skills & Competences ?
Python @ 6 Algorithms @ 7 MLOps @ 4 TensorFlow @ 6 Debugging @ 7 PyTorch @ 6 Compliance @ 4 GPU @ 4Details
Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIAβs GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world.
Responsibilities
- Develop and verify GPU/SoC architectures while integrating GenAI applications to enhance overall productivity and streamline workflows.
- Define, build, and drive the verification test plan for specific GPU products to ensure outstanding performance.
- Ensure reliable execution of the defined test plan, triage failures, and implement fixes to drive bugs to closure.
- Guide the improvement of the simulation platform and expand resources to support future GPU/SoC architectures.
- Build and evaluate prototypes using LLMs and multimodal models.
- Develop and deploy scalable GenAI applications that integrate with existing workflows and enhance overall productivity.
- Build full-stack applications and MLOps pipelines that embed GenAI into architectural workflows.
- Ensure compliance with data privacy, IP protection, and design standards.
Requirements
- MS, PhD or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field with 7+ years of experience in related areas.
- Background in Computer Architecture with experience in modeling.
- Proficiency in C++, Python and ML frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, and LangChain.
- Hands-on experience with LLMs (e.g., GPT, Claude, Llama) and multimodal models.
- Strong collaboration skills with design and engineering teams.
- Strong problem-solving and debugging skills, with a track record of driving issues to closure.
Benefits
- Base salary (varies by location, experience, and level):
- Level 4: 184,000 USD - 287,500 USD
- Level 5: 224,000 USD - 356,500 USD
- Eligibility for equity and company benefits (see NVIDIA benefits page).
Additional Information
- Applications accepted at least until August 30, 2025.
- NVIDIA is an equal opportunity employer and is committed to fostering a diverse work environment. The company does not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.