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Cerebras

Software Engineer - New Grad 2026

  • Seen live on Cerebras' site today
  • New grad
  • Remote
Pay
Not stated
Location
Toronto, CAN
Open for
17+ days
First seen
Oct 18, 2026
Apply on Cerebras' site (opens in a new tab)

Posting record

No flags

Open 17+ days

The posting's record, oldest first
  1. Cerebras' site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Cerebras, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

Upload your resume

What it asks of you

Must be a current student
“Recently graduated or currently enrolled in a university program in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline (graduating in 2026).” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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

  • 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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