Software Engineer - New Grad 2026

Job details

Work model

Hybrid

Salary

Not listed by source

Location

Toronto, CAN

Occupation

Software Developers(O*NET 15-1252.00)

Hiring context

How this role compares at Cerebras

Cerebras has 111 live roles in MeritLog’s catalog across 8 job families, and 67 of them are in engineering. 18 of those listings publish a pay range, a disclosure rate of 16%.

Counted across the job boards MeritLog tracks, at the time this page was served. Pay comparisons use only listings that publish a complete range in the same currency and period.

What the role asks for

Parsed by MeritLog from the employer’s own posting. The full description follows below.

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 https://openai.com/index/cerebras-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 https://www.cerebras.ai/join-us! 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. This website or its third-party tools process personal data. For more details, click here https://www.cerebras.net/privacy/ to review our CCPA disclosure notice.