Software Engineer - New Grad 2026
Cerebras · Toronto, CAN
CHECKED 9H AGO
Infrastructureremotenew grad
At a glance
Highlights
- Build software for the world's largest AI chip, 56x larger than GPUs
- Work across full AI-accelerated stack from hardware to ML frameworks
- Optimize ultra high-speed inference 10x faster than GPU clouds
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 work culture that respects individual beliefs
Ideal candidate
Recent CS/CE/EE grad who is fascinated by systems close to hardware and wants to learn across a full AI platform. Detail-oriented, collaborative, and eager to step outside your comfort zone to tackle performance and reliability challenges.
Requirements
- Graduating in 2026 in Computer Science, Computer Engineering, Electrical Engineering or related field
- Proficiency in C/C++ programming
- Interest or exposure to systems programming, networking, embedded systems, operating systems, device drivers or distributed systems
- Desire to work close to hardware/network and learn low-level engineering
- Detail-oriented, eager to learn the bigger picture and step out of comfort zone
- Excellent communication and collaboration skills
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