[Hiring] Senior Member of Technical Staff @Cerebras Systems

Role Description

Cerebras Systems Inc. has multiple openings for Sr. Member of Technical Staff.

• Design and develop software features that support system resiliency and high availability, including automated recovery mechanisms and fault-tolerant architecture across distributed environments.
• Develop and maintain cloud-based deployment workflows for AI inference software using AWS tools and services to support low-latency and scalable system performance.
• Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks.
• Use parallel programming techniques (e.g., multi-threading, asynchronous processing) to maximize resource efficiency on AWS compute instances.
• Develop software components to support visualization and analysis of system performance metrics, enhancing the monitoring and usability of inference services.
• Develop inference software in Docker containers and define Kubernetes orchestration strategies that ensure software reliability and efficient scaling.
• Develop automated scripts to detect and mitigate common failure modes, improving software system reliability.
• Debug issues related to model deployment, container orchestration, networking configurations, documenting steps to reproduce and root-cause defects.
• Triage and resolve defects in the software service by analyzing logs, metrics, and distributed traces using tools like AWS CloudWatch, Grafana, or custom Python scripts.
• Work with product management and user experience teams to define requirements for inference service interfaces, including configuration, monitoring, and event logging.
• Author detailed technical documentation for infrastructure configurations, inference workflows, and APIs, ensuring clarity for internal teams and external customers.
• Document and track defects, enhancements, and release notes using tools like Jira and Git, ensuring version control and traceability.

Qualifications

• Master’s degree or foreign equivalent degree in Computer Science, or a related field.
• 18 months of experience as Information Security Analyst, Software Engineer, Sr. Member of Technical Staff, IT Senior Applications Engineer, or a related occupation.

Requirements

• Infrastructure-as-Code and deployment automation: Terraform, AWS CloudFormation, AWS CDK, and Ansible.
• Containerization and orchestration: Docker, Kubernetes, AWS EKS, AWS Elastic Container Service (ECS), AWS Fargate, and Helm.
• Compute and serverless services: AWS EC2, AWS Lambda functions, and Auto Scaling Groups.
• Monitoring, logging, and distributed tracing: AWS CloudWatch, AWS X-Ray, ELK (Elasticsearch, Logstash, Kibana), Prometheus, and Grafana.
• Programming languages and frameworks: Python, Node.js, JavaScript, and Flask.
• Data storage and caching: PostgreSQL, Redis, and NFS.
• CI/CD and version control: Jenkins and Git.

Benefits

• Salary Range: $230,000.00 per year to $250,000.00 per year.
• Telecommuting permitted.

Company Description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device.

• Current customers include top model labs, global enterprises, and cutting-edge AI-native startups.
• OpenAI recently announced a multi-year partnership with Cerebras to deploy 750 megawatts of scale.
• Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.