Research Scientist, Networking Research - PhD New College Grad 2026
Core
Designing networks optimized for AI systems and leveraging AI/ML to advance network architecture for intelligent, real-time decision-making in large-scale GPU/accelerator clusters.
Role type
Research Scientist, Networking Research (PhD)
Builds
Prototypes, patents, publications, and product impact for next-generation computing platforms.
Domain
AI infrastructure, high-performance computing, distributed systems, networking
Deliverable
production ML models | product features | research
Required skills
Network architecture design, AI/ML for systems and networks, distributed computing, simulation and analytical modeling, C++, Python
Preferred skills
Hardware/software co-design, reinforcement learning, graph learning, telemetry-driven control, HLS, PyTorch/TensorFlow/JAX
Technologies
C++, Python, PyTorch, TensorFlow, JAX, HLS
Responsibilities
Develop innovative network architectures and algorithms for high-performance interconnects; Create mechanisms for network decision-making in GPU clusters; Prototype new ideas in simulation or analytical modeling; Produce technology vision for products 5-10 years out; Participate in the broader research community via publications and conferences; Collaborate with external researchers in academia.
Seniority
PhD New College Grad 2026 (Entry-level Research Scientist)
