Member of Technical Staff (Software Engineer)
Cerebras · Sunnyvale, CA
CHECKED 8H AGO
Infrastructureonsite
At a glance
Highlights
- Build high-performance, low-latency inference infrastructure at scale.
- Optimize scalable inference services to handle variable demand reliably.
- Ensure high availability with multi-region and disaster recovery.
Ideal candidate
Software engineer with graduate training in computer science and a passion for reliable, high-speed AI infrastructure who thrives collaborating across ML, product, and UX teams.
Requirements
- Master's degree (or foreign equivalent) in Computer Science or related field
- 1 year of experience as Software Developer, Student/Intern, Member of Technical Staff, Software Engineer or related occupation
- Experience with Docker and Kubernetes
- Experience with Java or C++, Python or Groovy, and JavaScript or TypeScript
- Experience with ActiveMQ and Kafka
- Experience with Linux, SQL, OracleDB, Redis and Git
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