Software Engineer - Host and Network IO
Cerebras · Sunnyvale, CA · Toronto, CAN
CHECKED 8H AGO
Infrastructureremotemid-level
At a glance
Highlights
- Build the full IO path linking server clusters to the world's largest AI chip.
- Optimize bandwidth and latency for large-scale AI training and inference clusters.
- Lead network debug to shape real-world AI performance at massive scale.
What they offer
- Build breakthrough AI platform beyond GPU constraints
- Publish and open-source cutting-edge AI research
- Work on one of the fastest AI supercomputers in the world
- Job stability with startup vitality
- Simple, non-corporate culture respecting individual beliefs
Ideal candidate
Detail-oriented systems thinker with hardware/software co-design background who loves deep debugging and optimizing large clusters. Eager to learn beyond comfort zone and collaborate across hardware and AI teams to boost real-world AI speed.
Requirements
- Master's/PhD in Computer Science or Electrical Engineering + 1 year industry experience, or 3+ years industry experience
- Experience in large software environments
- Experience with embedded systems, HW/SW co-design, and driver development
- Familiarity with network protocols and network debug tools, or willingness to learn
- Familiarity with network switch environments (e.g. Arista, Juniper), or willingness to learn
- Detail-oriented, eager to learn the bigger picture and embrace the unknown
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed