Cerebras
Software Engineer - New Grad 2026
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Toronto, CAN
Employer listed it 5 months ago · Added today
Been open since 5 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
Hybrid · Toronto, CAN
Timezone
Not stated
Contract
Full-time
Experience
Mid
Category
Software
This employer didn't state pay. Jobs like this usually pay around $165k–$255k a year, a typical range taken from 594 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Toronto, CAN, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Toronto, CAN, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
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
Requirements
- ·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.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Cerebras, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 23h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open software roles with comparable remote rules.
Free to apply, no account needed.
Typically $165k–$255k · You'll be taken to the employer's careers page.