Software Engineer - New Grad 2026

<div class="content-intro"><p><span data-contrast="none">Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.&nbsp;</span><span data-ccp-props="{&quot;134233117&quot;:false,&quot;134233118&quot;:false,&quot;201341983&quot;:0,&quot;335559685&quot;:0,&quot;335559737&quot;:240,&quot;335559738&quot;:240,&quot;335559739&quot;:240,&quot;335559740&quot;:279}">&nbsp;</span></p> <p>Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups.&nbsp;<a href="https://openai.com/index/cerebras-partnership/">OpenAI recently announced a multi-year partnership with Cerebras</a>, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.&nbsp;</p> <p>Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, 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.</p></div><h2>About The Role</h2> <p>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.</p> <p>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.</p> <p>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.</p> <h2>Responsibilities</h2> <ul> <li>Collaborate with experienced engineers on real-world systems and infrastructure challenges.</li> <li>Design, implement, test, and debug software solutions that directly impact system performance and reliability.</li> <li>Contribute to low-level software components interacting closely with hardware and networking infrastructure.</li> <li>Learn and contribute across multiple layers of a fully integrated AI-accelerated platform.</li> <li>Participate in debugging, performance optimization, and system bring-up activities.</li> <li>Develop tools and infrastructure to improve observability, reliability, and scalability.</li> <li>Work cross-functionally with hardware, firmware, compiler, and infrastructure teams.</li> </ul> <h2>Required Qualifications</h2> <ul> <li>Recently graduated or currently enrolled in a university program in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline (graduating in 2026).</li> <li>Proficiency in C/C++ programming languages</li> <li>Interest or exposure to systems/socket programming, networking, embedded systems, operating systems, device drivers, distributed systems, or network performance.</li> <li>Desire to work close to hardware/network and learn low-level engineering concepts.</li> <li>Detail-oriented but keen to learn the bigger picture and step out of comfort zone.</li> <li>Excellent communication and collaboration skills.</li> <li>Hybrid role based in Toronto, ON, or Sunnyvale CA</li> </ul> <h2>Assets</h2> <ul> <li>Experience with Linux systems programming or debugging tools.</li> <li>Familiarity with TCP/RDMA protocols, RPCs, and packet trace tools such as Wireshark</li> <li>Exposure to networking concepts, device drivers, embedded systems, or distributed infrastructure.</li> <li>Familiarity with performance optimization or concurrent programming concepts.</li> <li>Interest in large-scale AI infrastructure and accelerated computing systems.</li> </ul> <p>&nbsp;</p><div class="content-conclusion"><h4><strong>Why Join Cerebras</strong></h4> <p>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&nbsp; point in our business. Members of our team tell us there are five main reasons they joined Cerebras:</p> <ol> <li>Build a breakthrough AI platform beyond the constraints of the GPU.</li> <li>Publish and open source their cutting-edge AI research.</li> <li>Work on one of the fastest AI supercomputers in the world.</li> <li>Enjoy job stability with startup vitality.</li> <li>Our simple, non-corporate work culture that respects individual beliefs.</li> </ol> <p>Read our blog: <a href="https://www.cerebras.ai/internships" target="_blank">Intern at Cerebras</a></p> <h4>Apply today and become part of the forefront of groundbreaking advancements in AI!</h4> <hr> <p><em>Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.&nbsp;</em><em>We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. </em><em>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.</em></p> <hr> <p><em>This website or its third-party tools process personal data. For more details, click <a href="https://www.cerebras.net/privacy/" target="_blank">here</a> to review our CCPA disclosure notice.</em></p></div>