Software Engineer - New Grad 2026

This role is ideal for candidates with a strong interest in systems programming, networking, embedded systems, distributed infrastructure, or performance-oriented software engineering. Our teams work very closely with hardware, so candidates with experience primarily focused on higher-level application development or AI applications may be less aligned with the nature of this work.

You will gain hands-on experience working across multiple layers of a fully integrated AI-accelerated system, including advanced hardware interfaces, low-level infrastructure, distributed systems, compilers, and ML frameworks.

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.

Required 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

Assets

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.

Why Join Cerebras

People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:

Build a breakthrough AI platform beyond the constraints of the GPU.

Publish and open source their cutting-edge AI research.

Work on one of the fastest AI supercomputers in the world.

Enjoy job stability with startup vitality.

Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!

Apply today and become part of the forefront of groundbreaking advancements in AI!

Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.

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