Cerebras Systems
Senior Runtime Engineer
Sunnyvale CA or Toronto Canada · Senior
Sponsorship not specifiedDetected 97 days ago
PythonC++Distributed SystemsData StructuresMachine LearningPyTorchData EngineeringLLMsComplianceRoadmappingSystems EngineeringElectrical EngineeringCommunication
About the role
- 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.
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.
- Collaborate closely with ML and compiler teams to integrate new model architectures, training regimes, and hardware-specific optimizations.
- Contribute to overall system design, architecture reviews, and roadmap planning for large- scale AI workloads.
- Proven ability to debug, profile, and optimize code across scales-from threads to clusters.
Requirements
- 3+ years of experience developing high-performance or distributed system software.
- Experience with distributed systems, networking, or inter-process communication.
- Bachelor's, Master's, or equivalent experience in Computer Science, Electrical Engineering, or related field.
- Experience with compiler internals, custom hardware interfaces, or low-level protocol design.
Nice to have
- Preferred Skills & Qualifications
Skills
- Five Reasons to Join Cerebras in 2026.
- Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer.
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Company info
- 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.
- We are building the next generation of large-scale AI systems that power training and inference workloads at unprecedented scale and efficiency.
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This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.