Cerebras Systems is a leader in AI technology, known for building the world's largest AI chip. They are seeking a Member of Technical Staff (Software Engineer) to implement infrastructure for high-performance inference services and collaborate with cross-functional teams to enhance the inference pipeline.

Responsibilities

• Implement infrastructure to support high-performance, low-latency inference service
• Deploy and configure Kubernetes services to ensure scalability and reliability of inference workloads
• Optimize resource allocation and auto-scaling policies to handle variable inference demand while minimizing operational costs
• Integrate inference services with containerized environments using Docker and Kubernetes for orchestration
• Ensure high availability and fault tolerance by implementing multi-region deployments and disaster recovery strategies
• Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks
• Collaborate with machine learning engineers to validate inference accuracy and performance against functional and latency requirements
• Triage and resolve defects in the service by analyzing logs, metrics, and distributed traces
• Debug issues related to model deployment, container orchestration, or networking configurations, documenting steps to reproduce and root-cause defects
• Collaborate with cross-functional teams to address performance regressions, scalability issues, or integration failures in the inference pipeline
• Develop automated scripts to detect and mitigate common failure modes, improving system reliability
• Author detailed technical documentation for infrastructure configurations, inference workflows, and APIs, ensuring clarity for internal teams and external customers
• Work with product management and user experience teams to define requirements for inference service interfaces, including configuration, monitoring, and event logging
• Document and track defects, enhancements, and release notes using tools like Jira and Git, ensuring version control and traceability
• Participate in release planning and prioritization discussions to align infrastructure development with customer needs and business objectives

Skills

• Master's degree or foreign equivalent degree in Computer Science, or a related field and 1 year of experience as Software Developer, Student/Intern (Software Developer), Member of Technical Staff (Software Engineer), Software Engineer, or a related occupation required
• Docker and Kubernetes
• Java or C++
• ActiveMQ and Kafka
• Python or Groovy
• JavaScript or TypeScript
• Linux
• SQL, OracleDB, and Redis
• Git

Benefits

• Telecommuting permitted
• Job stability with startup vitality
• Simple, non-corporate work culture that respects individual beliefs
• Continuous learning, growth and support of those around them

Company Overview

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