Research Scientist, ML Systems
NVIDIA
full-time
Posted on:
Location Type: Office
Location: Zurich • 🇨🇭 Switzerland
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
CloudDistributed SystemsPython
About the role
- Understand and analyze the efficiency, scaling, and resilience challenges in ML systems, algorithms, and applications.
- Develop creative systems solutions (hardware, software, infrastructure) for future ML systems of all scales.
- Contribute to the co-design of next-generation AI/ML algorithms and systems.
- Collaborate with a diverse set of research and product teams across the company, spanning software, hardware, AI, and networking.
- Publish original research and speak at conferences and events.
Requirements
- Recent graduate with a Ph.D. in CS/CE/EE with a strong background in operating systems, distributed systems, inference and training systems, data management systems, networking, cloud computing, and/or computer architecture (or equivalent experience).
- A strong publication, patent, and research collaboration history is a huge advantage.
- 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.
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Remote work options
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
CC++Pythonscripting languagesoperating systemsdistributed systemsinference systemstraining systemsdata management systemscloud computing
Soft skills
collaborationcreativitycommunicationresearchproblem-solving
Certifications
Ph.D. in CSPh.D. in CEPh.D. in EE