Research Scientist (m/f/x) Fixed Term (2 Years)
Core
Research Scientist exploring emerging computing architectures and translating them into future technology opportunities for ZEISS.
Role type
Research Scientist (AI computing systems)
Builds
Proof-of-concepts to validate promising architecture concepts
Domain
Computer Architecture / AI Infrastructure
Deliverable
production ML models
Required skills
Computer architecture and systems, Machine-learning systems and AI infrastructure, Heterogeneous accelerators and emerging computing architectures, Systems-level understanding of AI technology stacks, Programming in Python and/or C/C++, GPU computing, Parallel programming, Distributed systems, Compilers, Runtimes, HPC environments
Preferred skills
Experience with custom accelerators, Chiplets, In- and near-memory computing, Optical and analog computing, Heterogeneous systems
Technologies
Python, C/C++, GPU, HPC
Responsibilities
Analyze AI computing systems end-to-end to identify bottlenecks in compute, memory, interconnects and energy efficiency. Explore next-generation computing architectures including custom accelerators and optical computing. Build and benchmark proof-of-concepts to assess potential quantitatively. Scout and recommend emerging solutions by engaging with startups and research groups.
Seniority
Mid-Senior, Research
