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Job
· Junior
Software Engineer - New Grad 2026
Software Engineer
• Junior
• Remote
• Full-time
•
EU/EMEA
As a new graduate software engineer you work alongside experienced Cerebras engineers on systems and infrastructure close to the hardware. A hybrid role based in Toronto, ON, or Sunnyvale, CA.
Responsibilities
- ▹Collaborate with experienced engineers on real-world systems and infrastructure challenges
- ▹Design, implement, test and debug software solutions that directly impact system performance and reliability
- ▹Contribute to low-level software components interacting closely with hardware and networking infrastructure
- ▹Learn and contribute across multiple layers of a fully integrated AI-accelerated platform
- ▹Participate in debugging, performance optimization and system bring-up activities
- ▹Develop tools and infrastructure to improve observability, reliability and scalability
- ▹Work cross-functionally with hardware, firmware, compiler and infrastructure teams
Requirements
- ▹Recently graduated or currently enrolled in a university program in Computer Science, Computer Engineering, Electrical Engineering or a related discipline (graduating in 2026)
- ▹Proficiency in C/C++
- ▹Interest or exposure to systems/socket programming, networking, embedded systems, operating systems, device drivers, distributed systems or network performance
- ▹Desire to work close to hardware/network and learn low-level engineering concepts
- ▹Detail-oriented but keen to learn the bigger picture and step out of comfort zone
- ▹Excellent communication and collaboration skills
Nice to have
- ▹Experience with Linux systems programming or debugging tools
- ▹Familiarity with TCP/RDMA protocols, RPCs and packet trace tools such as Wireshark
- ▹Exposure to networking concepts, device drivers, embedded systems or distributed infrastructure
- ▹Familiarity with performance optimization or concurrent programming concepts
- ▹Interest in large-scale AI infrastructure and accelerated computing systems
Soft skills
Excellent communication and collaborationAttention to detailEagerness to learn and step out of comfort zone
About the company
Cerebras builds the world's largest AI chip, 56 times larger than GPUs, delivering training and inference over 10 times faster than GPU-based hyperscale cloud inference services. It works with leading model labs, global enterprises and AI-native startups; OpenAI announced a multi-year partnership with it.
Education: Nemrég végzett vagy jelenleg egyetemen tanuló hallgató informatika, számítógép-mérnöki, villamosmérnöki vagy rokon szakon (2026-ban végzők)
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