Cerebras
ML Systems Integration Engineer
- Confirmed live in the last 24 hours
- No salary listed
- Mid level
- Full-time
- Remote · Sunnyvale, CA
- Added 1 month ago
About this role
Cerebras Systems is seeking an ML Systems Integration Engineer to contribute to the development and validation of their innovative AI hardware and software systems. This role involves debugging complex system-level issues, building automation tools, and collaborating with hardware engineers to ensure system reliability and performance. Join a team at the forefront of AI, building a platform beyond traditional GPU limitations.
What you'll do
- Bring-up of next-generation AI hardware systems and supporting software.
- Debugging system-level issues spanning hardware and software.
- Investigating system failures and identifying root causes.
- Building automation frameworks and internal tooling.
- Developing software to test, validate, and stress hardware systems.
- Collaborating with hardware engineers to resolve integration issues.
What they're looking for
- Python
- Debugging
- Operating systems fundamentals
- Linux development environments
- Computer architecture
- Problem-solving
- Communication skills
Benefits
- Build a breakthrough AI platform.
- Publish and open source AI research.
- Work on a fast AI supercomputer.
- Job stability with startup vitality.
- Non-corporate work culture
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Cerebras
Likely interview questions
- Describe a time you had to debug a complex system-level issue. What was your approach?
- How would you approach automating a manual testing process for a distributed system?