4 days ago
Tel Aviv-Yafo, IsraelStaff+
Responsibilities
- Research and drive hardware-software co-design across GPU computing, RDMA networking, NVLink, storage, and distributed infrastructure.
- Lead technical investigations and proof-of-concept development in distributed AI, deep learning systems, high-performance computing, virtualization, memory management, and large-scale systems design.
- Collaborate across NVIDIA teams to advance next-generation AI infrastructure and influence cross-stack design decisions.
- Analyze end-to-end bottlenecks across compute, networking, memory, and storage to improve performance, scalability, and efficiency.
- Guide production environments supporting massive-scale AI training and inference workloads.
- Influence technical vision, product direction, and platform strategy through research and senior technical leadership.
Requirements
- M.Sc. or Ph.D. in Computer Science, Electrical Engineering, Computer Engineering, or equivalent experience.
- 20+ years of industry experience in systems design, distributed systems, system software, or related fields.
- Deep background in distributed systems, parallel computation, networking, storage, virtualization, and memory management.
- Experience building, scaling, and supporting environments for massive AI workloads.
- Strong understanding of performance, reliability, scalability, and supportability in large-scale systems.
- Excellent communication, collaboration, and technical leadership skills across multinational, multi-time-zone teams.
- Chief Scientist, CTO, or equivalent senior technical leadership experience in a smaller company is highly desirable.
- A proven research track record in AI systems, large-scale infrastructure, or advanced systems co-design is preferred.
- Deep expertise in GPU systems, RDMA, NVLink, and storage technologies for AI and HPC workloads is preferred.
- A strong record of cross-functional influence spanning hardware, system software, networking, and infrastructure is preferred.
Categories
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.