ML Software Tool Development Engineer
Cerebras · United States and Canada
CHECKED 6H AGO
Infrastructureonsite
At a glance
Highlights
- Lead system-level debugging and observability platforms for giant AI chips.
- Build visualization tools for root-cause analysis of execution anomalies.
- Work on one of the fastest AI supercomputers powering ultra-fast inference.
Ideal candidate
Independent technical leader who loves untangling complex hardware-software systems and building intuitive tools that make the invisible visible. You care deeply about reliability, debuggability, and operational excellence.
Requirements
- Strong proficiency in C++ and Python building reliable, high-performance systems and tooling
- Demonstrated experience debugging complex hardware/software systems to root cause
- Experience analyzing system-level data structures, execution graphs or dependency networks
- Proven ability to design intuitive visualization and analysis tools for complex data
- Experience with compiler internals, custom hardware interfaces or low-level protocol design
- Strong written and verbal communication skills with diverse stakeholders
- Ability to work independently and lead complex technical projects end-to-end
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