Paul Elvinger
Hi there! I’m a Machine Learning Engineer at Wayve in London, where I focus on improving training efficiency. Wayve is an autonomous driving technology company developing AI software for self-driving vehicles.
Before joining Wayve, I completed my Bachelor’s and Master’s degrees in Computer Science at ETH Zurich. I also worked as a Research Assistant at ETH’s Efficient Architectures and Systems Lab, collaborating with Foteini Strati under the supervision of Prof. Ana Klimovic. My research focused on addressing GPU underutilization by spatially colocating multiple workloads on the same GPU and predicting the resulting interference patterns.
Prior to my Master’s, I worked as a Data Engineer at Archlet, a Zurich-based startup building an AI platform to support faster and better sourcing decisions. I also completed an internship at Oracle Labs in Zurich, where I focused on application security.
Outside of work, you’ll usually find me doing sports. Winters are dedicated to skiing, while in summer I’ve developed a new passion for endurance sports (marathons and triathlons).
You can find a copy of my CV here.
Publications
Proceedings of the 2025 ACM Symposium on Cloud Computing, SoCC 2025
PDF | Code | Slides
ETH Zurich research collection, 2024
Proceedings of the 4th Workshop on Machine Learning and Systems, EuroMLSys2024
U.S. Patent No. 12,189,759. 7 Jan. 2025
News
- November 2025: Presented our work on GPU interference at SoCC’25. (Slides)
- August 2025: Started as a Machine Learning Engineer at Wayve in London.
- October 2024: Started as a Research Assistant in the EASL.
- September 2024: Graduated from ETH Zurich in Computer Science.