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:
1. Build a breakthrough AI platform beyond the constraints of the GPU.
2. Publish and open source their cutting-edge AI research.
3. Work on one of the fastest AI supercomputers in the world.
4. Enjoy job stability with startup vitality.
5. 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!
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.
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