3 days ago
Base Salary
$108k - $196k/yr
Responsibilities
- Study and develop state-of-the-art deep learning and machine learning techniques.
- Perform in-depth analysis and optimization for current- and next-generation GPU architectures.
- Provide GPU-based AI solutions while working directly with key customers.
- Collaborate with architecture, research, libraries, tools, and system software teams on future architectures, software platforms, and programming models.
Requirements
- Pursuing or recently completed an MS or PhD in engineering, computer science, or a related discipline, or equivalent experience.
- Strong knowledge of C/C++, software design, programming techniques, and AI algorithms.
- Experience with parallel programming, ideally CUDA C/C++.
- Strong communication, organization, problem-solving, time-management, and task-prioritization skills.
- Preferred qualifications include low-level performance optimization, computer architecture, parallelization, and deep learning model optimization in natural language processing, computer vision, or recommender systems.
Benefits
- Eligible for equity and benefits.
- Base salary varies by location, experience, and comparable employee pay.
- Applications are accepted at least until September 4, 2026.
Tech Stack
CC++
Categories
About Nvidia
Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.