Data Center GPU Performance Engineer – Product
About the role
NVIDIA's Accelerated Computing team is a driving force behind the explosion of Machine Learning, Artificial Intelligence and High-Performance Computing. We are looking for a highly capable individual with a consistent track record in technology and the skills for GPU product definition for Data Center.
Responsibilities
- Guide the architecture of the next-generation of GPUs through an intuitive and comprehensive grasp of how GPU architecture affects performance for datacenter applications, especially Large Language Models (LLMs)
- Drive the discovery of opportunities for innovation in GPU, system, and data-center architecture by analyzing the latest data center workload trends, Deep Learning (DL) research, analyst reports, competitive landscape, and token economics
- Find opportunities where we uniquely can address customer needs, and translate these into compelling GPU value proposition and product proposals
- Distill sophisticated analyses into clear recommendations for both technical and non-technical audiences
Requirements
- 5+ years of total experience in technology with previous product management, AI related engineering, design or development experience highly valued
- BS or MS or equivalent experience in engineering, computer science, or another technical field. MBA a plus
- Deep understanding of fundamentals of GPU architecture, Machine Learning, Deep Learning, and LLM architecture with ability to articulate relationship between application performance and GPU and data center architecture
- Demonstrated ability to fully contribute to above areas within 3 months
- Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs
Qualifications
- Deep understanding of fundamentals of GPU architecture, Machine Learning, Deep Learning, and LLM architecture with ability to articulate relationship between application performance and GPU and data center architecture
- Demonstrated ability to fully contribute to above areas within 3 months
- Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs
Skills
- Deep understanding of fundamentals of GPU architecture, Machine Learning, Deep Learning, and LLM architecture with ability to articulate relationship between application performance and GPU and data center architecture
- Demonstrated ability to fully contribute to above areas within 3 months
- Strong desire to learn, motivated to tackle complex problems and the ability to make sophisticated trade-offs
Benefits
Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 148,000 USD - 224,250 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4. You will also be eligible for equity and benefits.
Pay
Base salary range is 148,000 USD - 224,250 USD for Level 3, and 168,000 USD - 258,750 USD for Level 4.
Schedule
Applications for this job will be accepted at least until January 16, 2026.