Sr. Member of Technical Staff
Cerebras · Sunnyvale, CA
CHECKED 9H AGO
Infrastructureonsitesenior
At a glance
Highlights
- Help scale the world's largest AI chip delivering 10x faster inference.
- Design fault-tolerant software powering ultra-fast, large-scale AI inference.
- Build automated recovery and scaling for distributed AI inference services.
What they offer
- Opportunity to publish and open-source cutting-edge AI research
- Work on one of the fastest AI supercomputers in the world
- Job stability with startup vitality
- Inclusive, non-corporate culture supporting continuous learning and growth
Ideal candidate
Reliability-minded software engineer with distributed systems experience who cares about resilient, high-performance AI inference and thrives collaborating across product and engineering teams.
Requirements
- Master's degree or foreign equivalent in Computer Science or related field
- 18 months of experience as Information Security Analyst, Software Engineer, Sr. Member of Technical Staff, IT Senior Applications Engineer or related occupation
- Experience with Infrastructure-as-Code and deployment automation including Terraform, CloudFormation, CDK and Ansible
- Experience with containerization and orchestration including Docker, Kubernetes, EKS, ECS, Fargate and Helm
- Experience with AWS compute and serverless including EC2, Lambda and Auto Scaling Groups
- Experience with monitoring, logging and tracing including CloudWatch, X-Ray, ELK, Prometheus and Grafana
- Proficiency in Python, Node.js, JavaScript and Flask
- Experience with PostgreSQL, Redis and NFS
- Experience with Jenkins 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