{"id":17112,"url":"https://alion.io/job/cerebras-full-stack-llm-engineer","title":"Full Stack LLM Engineer","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":"B","score":73,"open_postings":26,"ghost_share":0,"stale_share":0.885,"repost_share":0,"time_to_fill_p50_days":80,"computed_at":"2026-10-16T05:45:00Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"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":107000,"max_usd":227000,"period":"year","method":"role_country_seniority_unknown","sample_n":181},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"C++","optional":false},{"name":"Cerebras","optional":false},{"name":"Edge AI","optional":false},{"name":"LLVM","optional":false},{"name":"Mixture of Experts","optional":false},{"name":"MLIR","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"PyTorch C++","optional":false},{"name":"Qwen","optional":false},{"name":"TensorFlow","optional":false},{"name":"TensorFlow C++","optional":false}],"status":"live","first_seen_at":"2025-07-18T20:38:09Z","employer_posted_date":"2025-07-18","last_verified_at":"2026-10-16T13:52:32Z","board_verified":true,"closed_at":null,"days_open":454,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":454},"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\nWe are seeking a versatile and experienced engineer to join our Inference Core Model Bringup team. This team is responsible to rapidly bring up state-of-the-art open-source models (like LLaMA, Qwen, etc) or customer-provided proprietary models on our Cerebras CSX systems. Success in this role requires a system-minded generalist who thrives in fast-paced bringup environments and is comfortable working across the entire Cerebras software stack.\nYour work will play a critical role in achieving unprecedented levels of performance, efficiency, and scalability for AI applications.\nResponsibilities\nContribute to the end-to-end bring up of ML models on Cerebras CSX systems.\n\nWork across the stack: model architecture translation, graph lowering, compiler optimizations, runtime integration, and performance tuning.\n\nDebug performance and correctness issues spanning model code, compiler IRs, runtime behavior, and hardware utilization.\n\nPropose and prototype improvements across tools, APIs, or automation flows to accelerate future bring ups.\n\nSkills & Qualifications\nBachelor’s, Master’s, or PhD in Computer Science, Engineering, or a related field.\n\nComfort navigating the full AI toolchain: Python modeling code, compiler IRs, performance profiling, etc.\n\nStrong debugging skills across performance, numerical accuracy, and runtime integration.\n\nExperience with deep learning frameworks (e.g., PyTorch, TensorFlow) and familiarity with model internals (e.g., attention, MoE, diffusion).\n\nProficiency in C/C++ programming and experience with low-level optimization.\n\nProven experience in compiler development, particularly with LLVM and/or MLIR.\n\nStrong background in optimization techniques, particularly those involving NP-hard problems.\n\nWhat We Offer\nCompetitive salary and benefits package.\n\nOpportunities for professional growth and career advancement.\n\nA dynamic and innovative work environment.\n\nThe chance to work on cutting-edge technologies and make a significant impact on the future of AI.\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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