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Software Engineer - New Grad 2026

cerebras · Toronto

Nouveau
Hybrid Junior 🇬🇧 English
C/C++ Linux systems programming Debugging tools TCP/RDMA protocols RPCs Wireshark Networking concepts Device drivers Embedded systems Distributed infrastructure Performance optimization Concurrent programming AI infrastructure Accelerated computing systems

Description du poste

About the role

As a New Graduate Software Engineer you will work with world‑class engineers to solve real‑world challenges across the software stack of an AI‑accelerated platform. The role focuses on low‑level, performance‑oriented software that directly impacts the speed, scalability and reliability of next‑generation AI infrastructure.

Key responsibilities

  • Collaborate with experienced engineers on real‑world systems and infrastructure challenges.
  • Design, implement, test and debug software solutions that affect system performance and reliability.
  • Contribute to low‑level components that interact 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.

Required profile

  • Recently graduated or currently enrolled in a Computer Science, Computer Engineering, Electrical Engineering or related program (graduating in 2026).
  • Proficiency in C/C++ programming.
  • 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 with a willingness to step out of the comfort zone.
  • Excellent communication and collaboration skills.

Required skills

  • Linux systems programming and debugging tools.
  • TCP/RDMA protocols, RPCs and packet‑trace tools such as Wireshark.
  • Networking concepts, device drivers, embedded systems and distributed infrastructure.
  • Performance optimization and concurrent programming concepts.
  • Interest in large‑scale AI infrastructure and accelerated computing systems.

What we offer

  • Opportunity to build a 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 combined with startup vitality.
  • A simple, non‑corporate culture that respects individual beliefs.

Questions fréquentes

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Source : ats:ashby

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cerebras

Toronto