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Lead Architect for GPU System Performance Optimization
2 months ago
We are currently seeking a Lead Architect specializing in GPU System Performance. The NVIDIA Platform Architecture team is in search of exceptional computer architects who possess a genuine enthusiasm for GPU-enhanced deep learning, data analytics, and high-performance computing. This role provides a unique opportunity to significantly influence the future of GPU-accelerated computing systems within a vibrant, technology-driven organization.
Key Responsibilities:
- Innovate and design advanced processor and system architectures to push the boundaries of GPU-accelerated cloud computing.
- Conduct performance evaluations by analyzing trade-offs in system efficiency, cost, and overall performance through the development of analytical models, simulators, and data visualization tools.
- Investigate and assess the interplay between hardware and software in extensive data center deployments of GPU-accelerated systems.
- Collaborate across various departments to steer the evolution of GPU-accelerated cloud computing, partnering with software, product, and business teams.
Qualifications:
- A Master's or PhD in a relevant discipline such as Computer Science, Electrical Engineering, or Computer Engineering, or equivalent professional experience.
- Over 10 years of pertinent work or research experience.
- Proficient programming skills in Python and C++, demonstrated throughout your career.
- Strong mathematical and analytical capabilities.
- Professional experience reflecting a deep understanding of computer architecture.
- Excellent communication, organizational, and interpersonal skills, coupled with a genuine passion for teamwork.
- Experience in analytical performance modeling, simulation, profiling, and analysis.
Preferred Qualifications:
- Background in data center/cloud computing design with experience in developing hardware for virtualized environments.
- Expertise in data analysis and visualization techniques.
- Familiarity with GPU computing and parallel programming paradigms.
GPU computing stands as the most effective and widespread platform for deep learning and AI. It begins with cutting-edge GPUs and the systems and software built upon them. We integrate and optimize every deep learning framework, collaborating with major systems companies and cloud service providers to ensure GPU availability in data centers and the cloud. We also develop computers and software that bring AI to edge devices, including self-driving vehicles and autonomous robots. Through deep learning, we empower AI to perform a multitude of tasks. Innovations such as Google Assistant have learned from sound to provide a more intuitive way to access information. Self-driving cars utilize deep learning to navigate their environment, recognizing lanes and avoiding obstacles. In healthcare, neural networks trained on extensive medical imaging can identify insights in MRIs that were previously only detectable through invasive procedures. These examples illustrate the transformative potential of AI, which is poised to drive unprecedented social progress akin to the industrial revolution. NVIDIA is recognized as one of the most sought-after employers in the technology sector, boasting a team of some of the most skilled and dedicated professionals globally. If you are innovative and self-motivated, we would love to connect with you.
The base salary range for this position is between 220,000 USD and 339,250 USD. Your salary will be determined based on your experience, location, and the compensation of employees in similar roles. Additionally, you will be eligible for equity and benefits. NVIDIA welcomes applications on an ongoing basis.
NVIDIA is committed to creating a diverse workplace and is proud to be an equal opportunity employer. We highly value diversity in our current and future workforce and do 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.
