AI Inference Core - Software Integration Engineer
Cerebras · United States and Canada
CHECKED 8H AGO
Infrastructureonsite
At a glance
Highlights
- Take ambitious inference ideas from prototype to validated working capability.
- Deliver ultra-fast inference on the world's largest AI chip, 56x GPUs.
- Debug difficult failures across large-scale AI workloads and hardware.
What they offer
- Publish and open-source cutting-edge AI research
- Work on one of the fastest AI supercomputers in the world
- Job stability with startup vitality
Ideal candidate
A bias-for-action integrator who thrives in ambiguity and tight timelines, owning unclear problems end-to-end. You raise team pace and clarity while turning urgent prototypes into reliable capabilities.
Requirements
- Experience with complex systems, distributed software environments, or large-scale compute clusters
- Experience with AI infrastructure, model deployment, LLMs, or multimodal workloads
- Exposure to performance debugging, profiling, observability, or failure analysis
- Familiarity with microservices, containers, cluster orchestration, cloud infrastructure, or high-performance computing
- Track record of driving cross-team projects from an incomplete idea to a reliable working result
- remote policy
- Hybrid, 3 days in-office; fully remote not available
Lab profile
About Cerebras
Builds wafer-scale AI chips and cloud systems for ultra-fast training and inference.
What they build
- Wafer-scale AI chips
- AI training systems
- Cloud inference service
Known for
- 56x larger chips than GPUs
- 10x faster inference than GPU clouds
- Industry-leading training speed