Used Tools & Technologies
Not specified
Required Skills & Competences ?
Linux @ 3 Python @ 3 Algorithms @ 6 Communication @ 6 Performance Optimization @ 3 CUDA @ 3 GPU @ 3Details
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, NVIDIA’s 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. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!
This team develops and supports NVIDIA's embedded firmware for supporting CUDA, especially on our Compute GPU product line-up. The NVIDIA Data Center product line-up scales from single GPU add-in cards to full system DGX products, all built on developing technologies like PCI Express, NVLink, and NVSwitch. This work includes design, development, verification and maintenance of new software features, working with Architecture and hardware in defining upcoming products and working with customers on requirements and support.
Responsibilities
- Work on Linux kernel drivers and RTOS firmware for Compute Professional Solutions products
- Software design for next generation Compute GPU solutions
- Develop and maintain software features such as clocks management, thermal and power management, telemetry, device initialization, memory management, performance optimization, device management (and reset)
- Support new hardware architectures
- Collaborate with internal worldwide teams (software, hardware, architecture, OEM support)
Requirements
- Pursuing a B.S. or M.S. in Computer Science, Computer Engineering, or Electrical Engineering
- Strong programming skills in C and C++
- Detailed knowledge of operating systems/RTOS internals including interrupt handling, scheduling, memory management and concurrency
- Understanding of various Linux driver models
- Experience with Firmware and Embedded Systems
Ways to stand out
- Prior work using Python for Automation and Test Frameworks
- Strong English written and oral communication skills
- A strong team player; self motivated with a good attitude and drive to solve hard problems
Benefits
- Hourly internship rates between 18 USD and 71 USD
- Eligible for Intern benefits as per NVIDIA standards
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. They 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.