{"id":17084,"url":"https://alion.io/job/cerebras-software-engineer-new-grad-2026","title":"Software Engineer - New Grad 2026","company":{"id":31,"name":"Cerebras Systems","domain":"cerebras.ai","url":"https://alion.io/company/cerebras-systems","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":87,"open_postings":119,"ghost_share":0.134,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":99,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Backend","role_family":"Backend","seniority":"junior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Toronto, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":71000,"max_usd":147000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":44},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Cerebras","optional":false},{"name":"Linux","optional":false},{"name":"OpenAI","optional":false},{"name":"Wireshark","optional":false}],"status":"live","first_seen_at":"2026-05-11T19:38:35Z","employer_posted_date":"2026-05-11","last_verified_at":"2026-11-09T18:32:48Z","board_verified":true,"closed_at":null,"days_open":182,"trust":{"level":"ok","repost_count":1,"flags":["company_stale"],"days_open":181},"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. \nThis 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.\nCerebras 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.\nAbout The Role\nAs 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.\nThis 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.\nYou 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.\nResponsibilities\nCollaborate with experienced engineers on real-world systems and infrastructure challenges.\n\nDesign, implement, test, and debug software solutions that directly impact system performance and reliability.\n\nContribute to low-level software components interacting closely with hardware and networking infrastructure.\n\nLearn and contribute across multiple layers of a fully integrated AI-accelerated platform.\n\nParticipate in debugging, performance optimization, and system bring-up activities.\n\nDevelop tools and infrastructure to improve observability, reliability, and scalability.\n\nWork cross-functionally with hardware, firmware, compiler, and infrastructure teams.\n\nRequired Qualifications\nRecently graduated or currently enrolled in a university program in Computer Science, Computer Engineering, Electrical Engineering, or a related discipline (graduating in 2026).\n\nProficiency in C/C++ programming languages\n\nInterest or exposure to systems/socket programming, networking, embedded systems, operating systems, device drivers, distributed systems, or network performance.\n\nDesire to work close to hardware/network and learn low-level engineering concepts.\n\nDetail-oriented but keen to learn the bigger picture and step out of comfort zone.\n\nExcellent communication and collaboration skills.\n\nHybrid role based in Toronto, ON, or Sunnyvale CA\n\nAssets\nExperience with Linux systems programming or debugging tools.\n\nFamiliarity with TCP/RDMA protocols, RPCs, and packet trace tools such as Wireshark\n\nExposure to networking concepts, device drivers, embedded systems, or distributed infrastructure.\n\nFamiliarity with performance optimization or concurrent programming concepts.\n\nInterest in large-scale AI infrastructure and accelerated computing systems.\n\nWhy Join Cerebras\nPeople 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:\nBuild a breakthrough AI platform beyond the constraints of the GPU.\n\nPublish and open source their cutting-edge AI research.\n\nWork on one of the fastest AI supercomputers in the world.\n\nEnjoy job stability with startup vitality.\n\nOur simple, non-corporate work culture that respects individual beliefs.\n\nFind out more about what it's like to work at Cerebras here!\nApply today and become part of the forefront of groundbreaking advancements in AI!\nCerebras 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.\nThis website or its third-party tools process personal data. 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