The opportunity
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
What you'll do
Design and architect front-end network fabrics for AI/ML and HPC systems.
Identify and resolve performance and efficiency bottlenecks, ensuring high: resource utilization, low latency, and high-throughput communication.
Lead cross-functional technical projects spanning multiple teams and: integrating diverse software and hardware components to deliver advanced networking technologies.
Foster clear and effective communication across teams and stakeholders.
Collaborate with vendors and industry partners to shape network hardware and feature roadmaps.
Represent Cerebras in industry forums and technical communities.
What they're looking for
- Serve as the central point of contact for network reliability issues.
- Ph.D. in Computer Science or Electrical Engineering + 10 years industry: experience or Master’s in CS or EE + 15 years industry experience.
- + Years of experience in large scale network designs in datacenter and cloud environments.
- Extensive experience debugging networking issues in large distributed: systems environment with multiple networking platforms and protocols.