Description
NVIDIA Research is seeking exceptional systems researchers to contribute to the development of hardware, software, and infrastructure technology for ML systems of all scales. As a Research Scientist New Graduate with a focus on Machine Learning Systems (MLSys), you will work on understanding and analyzing the efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications.
Your responsibilities will include:
- Developing creative systems solutions (hardware, software, infrastructure) for future ML systems of all scales.
- Contributing to the co-design of next-generation AI/ML algorithms and systems.
- Collaborating with a diverse set of research and product teams across the company, spanning software, hardware, AI, and networking.
- Publishing original research and speaking at conferences and events.
To be successful in this role, you will need:
- A recent Ph.D. in Computer Science, Computer Engineering, or Electrical Engineering with a strong background in operating systems, distributed systems, inference and training systems, data management systems, networking, cloud computing, and/or computer architecture.
- Demonstrated expertise in one specific area with the ability to become the go-to resource within a team having varied backgrounds.
- Background with experimental research and development.
- Experience with C, C++, Python, and/or scripting languages.
- Experience with using AI tools for analysis, design, and code development.
The expected base salary range for this position is $168,000 - $264,500 per year. You will also be eligible for equity and benefits.