Software Engineer - Tools & Infrastructure / DevOps
Cerebras · Sunnyvale, CA · Toronto, CAN
CHECKED 8H AGO
Infrastructureremotemid-senior
At a glance
Highlights
- Help power the world's largest AI chip delivering 10x faster AI inference.
- Improve developer velocity with build tooling used across the organization.
- Work on one of the fastest AI supercomputers in the world.
What they offer
- Job stability with startup vitality
- Simple, non-corporate culture that respects individual beliefs
- Opportunity to publish and open source cutting-edge AI research
Ideal candidate
A curious, methodical engineer with 4–8 years in DevOps or infrastructure who cares about developer velocity, reliable automation, and digging into root causes at large scale.
Requirements
- 4-8 years in DevOps, infrastructure, or software engineering
- Familiarity with CI/CD systems and automated build and deployment pipelines
- Understanding of artifact repository management and software packaging
- Experience with cloud platforms (AWS preferred) and programmatic provisioning
- Proficiency with distributed version control, code review and repository management
- Foundational Linux/Unix, networking and scripting for automation
- Experience with containerization and orchestration (Kubernetes preferred)
- Strong troubleshooting and debugging of distributed systems
- Willingness to join on-call and incident response for Dev Productivity
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