{"id":234134,"url":"https://alion.io/job/cerebras-systems-senior-runtime-engineer","title":"Senior Runtime 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":"A","score":85,"open_postings":119,"ghost_share":0.168,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":93,"computed_at":"2026-10-25T05:49:26Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":131000,"max_usd":248000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":5966},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"C++","optional":false},{"name":"Cerebras","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenAI","optional":false},{"name":"HPC","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true}],"status":"live","first_seen_at":"2025-10-28T13:38:32Z","employer_posted_date":"2025-10-28","last_verified_at":"2026-10-26T00:11:34Z","board_verified":true,"closed_at":null,"days_open":362,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":361},"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 building the next generation of large-scale AI systems that power training and inference workloads at unprecedented scale and efficiency.\nYou will design and develop high-performance distributed software that orchestrates massive compute and data pipelines across heterogeneous clusters. Your work will push the limits of concurrency, throughput, and scalability-enabling efficient execution of models at massive scale. This role sits at the intersection of systems engineering and machine learning performance, demanding both architectural depth and low-level implementation skills. You will help shape how models are executed and optimized end-to-end, from data ingestion to distributed execution, across cutting-edge hardware platforms.\nWe’re hiring for runtime roles across both Training and Inference.\nResponsibilities\nDesign and implement distributed runtime components to efficiently manage large-scale execution workloads.\n\nDevelop and optimize high-performance data and communication pipelines that fully utilize CPU, memory, storage, and network resources.\n\nEnable scalable execution across multiple compute nodes, ensuring high concurrency and minimal bottlenecks.\n\nCollaborate closely with ML and compiler teams to integrate new model architectures, training regimes, and hardware-specific optimizations.\n\nDiagnose and resolve complex performance issues across the software stack using profiling and instrumentation tools.\n\nContribute to overall system design, architecture reviews, and roadmap planning for large-scale AI workloads.\n\nSkills & Qualifications\n3+ years of experience developing high-performance or distributed system software.\n\nStrong programming skills in C/C++, with expertise in multi-threading, memory management, and performance optimization.\n\nExperience with distributed systems, networking, or inter-process communication.\n\nSolid understanding of data structures, concurrency, and system-level resource management (CPU, I/O, and memory).\n\nProven ability to debug, profile, and optimize code across scales-from threads to clusters.\n\nBachelor’s, Master’s, or equivalent experience in Computer Science, Electrical Engineering, or related field.\n\nPreferred Skills & Qualifications\nFamiliarity with machine learning training or inference pipelines, especially distributed training and large-model scaling.\n\nExposure to Python and PyTorch, particularly in the context of model training or performance tuning.\n\nExperience with compiler internals, custom hardware interfaces, or low-level protocol design.\n\nPrior work on high-performance clusters, HPC systems, or custom hardware/software co-design.\n\nDeep curiosity about how to unlock new levels of performance for large-scale AI workloads.\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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