Software Engineer - New Grad 2026
Cerebras· University Departments
Hybrid (Toronto, CAN)Full-timePosted 3mo ago
About the role
New graduate software engineer role focusing on systems programming, networking, embedded systems, and distributed infrastructure within Cerebras’ AI-accelerated platform. Hybrid Toronto or Sunnyvale, CA based.
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.
Qualifications
- 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++ programming languages
- 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.
- Hybrid role based in Toronto, ON, or Sunnyvale CA
Skills
Required:C/C++ programmingSystems/socket programming, networking
Nice to have:Linux systems programmingTCP/RDMA, RPCs, Wireshark
Last updated Aug 30, 2026. Interested? Apply on the company site.
About Cerebras
Cerebras is the go-to platform for fast and effortless AI training. Learn more at cerebras.ai.
Cerebras is the go-to platform for fast and effortless AI training.
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