[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Cerebras Systems jobs](https://jobs.opennash.com/companies/cerebras-systems/) · [Search jobs](/search/) Cerebras Systems · United States and Canada # Senior Runtime Engineer United States and Canada Full-time Senior individual contributor Operations Listed on Cerebras Systems’s official careers site. Posted October 28, 2025. Check that it is still open and apply there. [Apply on Cerebras Systems’s careers site →](https://jobs.ashbyhq.com/cerebras/ea44d96f-37e9-4d59-8749-621013176832) [OpenNash Jobs](https://jobs.opennash.com/) / [Cerebras Systems](https://jobs.opennash.com/companies/cerebras-systems/) / Senior Runtime Engineer ## 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/](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 We are building the next generation of large-scale AI systems that power training and inference workloads at unprecedented scale and efficiency. You 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. We’re hiring for runtime roles across both Training and Inference. ### Responsibilities - Design and implement distributed runtime components to efficiently manage large-scale execution workloads. - Develop and optimize high-performance data and communication pipelines that fully utilize CPU, memory, storage, and network resources. - Enable scalable execution across multiple compute nodes, ensuring high concurrency and minimal bottlenecks. - Collaborate closely with ML and compiler teams to integrate new model architectures, training regimes, and hardware-specific optimizations. - Diagnose and resolve complex performance issues across the software stack using profiling and instrumentation tools. - Contribute to overall system design, architecture reviews, and roadmap planning for large-scale AI workloads. Skills & Qualifications - 3+ years of experience developing high-performance or distributed system software. - Strong programming skills in C/C++, with expertise in multi-threading, memory management, and performance optimization. - Experience with distributed systems, networking, or inter-process communication. - Solid understanding of data structures, concurrency, and system-level resource management (CPU, I/O, and memory). - Proven ability to debug, profile, and optimize code across scales—from threads to clusters. - Bachelor’s, Master’s, or equivalent experience in Computer Science, Electrical Engineering, or related field. ### Preferred Skills & Qualifications - Familiarity with machine learning training or inference pipelines, especially distributed training and large-model scaling. - Exposure to Python and PyTorch, particularly in the context of model training or performance tuning. - Experience with compiler internals, custom hardware interfaces, or low-level protocol design. - Prior work on high-performance clusters, HPC systems, or custom hardware/software co-design. - Deep curiosity about how to unlock new levels of performance for large-scale AI workloads. 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: - Build a breakthrough AI platform beyond the constraints of the GPU. - Publish and open source their cutting-edge AI research. - Work on one of the fastest AI supercomputers in the world. - Enjoy job stability with startup vitality. - 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](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/](https://www.cerebras.net/privacy/) to review our CCPA disclosure notice. ## At a glance - Posted by the employer: Oct 28, 2025 - First seen by OpenNash: Jul 12, 2026 - Last checked: Oct 18, 2026 - Listed for: 355 days - Location: United States and Canada - Employment type: Full-time[Apply on Cerebras Systems’s careers site →](https://jobs.ashbyhq.com/cerebras/ea44d96f-37e9-4d59-8749-621013176832) ## More jobs at Cerebras Systems ### [Engineering Manager, Kernel Reliability](https://jobs.opennash.com/companies/cerebras-systems/jobs/628d2f05cae1344d6211/) United States and Canada ### [Kernel Engineer](https://jobs.opennash.com/companies/cerebras-systems/jobs/c5a774024458d73b5c50/) United States and Canada ### [ML Systems Performance Engineer](https://jobs.opennash.com/companies/cerebras-systems/jobs/868170842122fd46595e/) United States and Canada ### [Site Reliability Engineer - Ops & Automation](https://jobs.opennash.com/companies/cerebras-systems/jobs/06f978d6a97b77675da2/) United States and Canada ### [AI Inference Core - Software Integration Engineer](https://jobs.opennash.com/companies/cerebras-systems/jobs/0b4ab03a54715ad92d46/) United States and Canada ## Similar jobs at other companies ### [Senior Staff Software Engineer/Architect - Runtime Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/34ac340671dd639c9c70/) Qualcomm · Cork, Ireland ### [Lead Software Engineer - Cloud Runtime Compute](https://jobs.opennash.com/companies/jpmorganchase/jobs/62ddb7f0f658e7f91013/) JPMorganChase · GLASGOW, LANARKSHIRE, United Kingdom ### [Sr. SW Test Engineer - Runtime (5-8 years)](https://jobs.opennash.com/companies/sandisk/jobs/5be30134b41606e67c83/) Sandisk ### [FPGA Prototyping Debug and Runtime Infrastructure Development Engineer](https://jobs.opennash.com/companies/siemens/jobs/a4cf3f18e40c56a4f643/) Siemens OpenNash lists jobs from employers’ own careers sites and does not handle applications. Dates come from the employer where stated; “first seen” and “last checked” are our own observations. OpenNash Jobs · Official listings with dates and links to the employer. [Weekly hiring report](/reports/hiring/) · [Methodology](/methodology/)