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SalaryWe are now looking for a Research Scientist – Design Automation
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as “the AI computing company.” We're looking to grow our company, and build our teams with the smartest people in the world. Would you like to join us at the forefront of technological advancement?
NVIDIA Research is seeking leading researchers in the areas of VLSI electronic Design Automation (EDA) to contribute to the development of future high-performance and mobile computing systems. You should have a strong track record of research excellence; systems-building experience; a broad perspective across areas including EDA algorithms and software, machine learning, and VLSI chip design methodology. Specific areas of research interest include but are not limited to applications of supervised learning, unsupervised learning, reinforcement learning and GPU acceleration to EDA algorithms.
What you’ll be doing:
- Apply machine learning and GPU acceleration to EDA software and ASIC and VLSI design tool flows.
- Research and develop creative and innovative EDA software and algorithms.
- Collaborate with circuits, VLSI, and architecture team members in research and product teams.
- Publish and present your original research, speak at conferences and events
- Collaborate with external researchers and a diverse set of internal product teams.
What we need to see:
- Pursuing Ph.D in EE or related with a strong research record, well referenced publications and / or patents (or equivalent experience)
- You should display a strong background in EDA algorithms and software development, machine learning, along with knowledge of VLSI, circuits, IC design, and/or computer micro-architecture fundamentals.
- Experience with C, C++, Python, and scripting languages.
- Background with commonly used machine learning frameworks (PyTorch, Tensorflow).
- Experience with CUDA and GPU computing
- Strong communication skills needed. Being a creative and dynamic presenter is a huge advantage.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. If you're creative, autonomous and love a challenge, we want to hear from you!
The base salary range is 160,000 USD - 253,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. You will also be eligible for equity and
benefits
. NVIDIA accepts applications on an ongoing basis.
