Software Engineer - New Grad 2026

Cerebras Systems, Inc.; Toronto; On-site; CAD 70,000 - 90,000; Full time

Job summary

Cerebras Systems, Inc. in Toronto, Ontario, is seeking a New Graduate Software Engineer to join their innovative team. This position involves collaborating with seasoned engineers to tackle real-world challenges in AI infrastructure, focusing on enhancing system performance and reliability.

The role is ideal for recent graduates or students with strong C/C++ skills, offering hands-on experience with low-level software and hardware interactions. Cerebras fosters an inclusive work environment and is committed to equal opportunity.

Qualifications

• Recently graduated or currently enrolled in a university program in a relevant field.
• Proficiency in C/C++ programming languages required.
• Interest in systems programming and close collaboration with hardware.

Responsibilities

• Collaborate with experienced engineers on real-world systems challenges.
• Design, implement, and debug software solutions.
• Contribute to low-level software components closely interacting with hardware.

Skills

C/C++ programming languages

Systems programming

Networking

Embedded systems

Distributed systems

Low-level engineering

Education

Computer Science or related discipline

Tools

Linux systems

Debugging tools

Wireshark

Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.

About The Role

As a New Graduate Software Engineer, you will collaborate with world-class engineers to solve real-world challenges across the software stack. You will contribute to software systems that directly impact performance, scalability, reliability, and usability of next-generation AI infrastructure.

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:

1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting‑edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. 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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