Founded in 2015 and based in Sunnyvale, California, Cerebras Systems develops high-performance computing systems for artificial intelligence workloads. It is known for the Wafer-Sc
Senior Member of Technical Staff
Location
United States
Posted
18 days ago
Salary
$230K - $250K / year
Seniority
Lead
Job Description
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.
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