Cerebras Systems

Cerebras Systems

Member of Technical Staff (Software Engineer)

Headquarters/Sunnyvale Office · Staff+ · Part-time

Sponsorship not specifiedDetected 74 days ago
JavaScriptTypeScriptPythonJavaC++GitSQLRedisDockerKubernetesLinuxKafkaMachine LearningComplianceJira

About the role

  • This role focuses on deploying and optimizing scalable inference services, collaborating with cross-functional teams, and ensuring reliable, production-ready machine learning infrastructure.

Responsibilities

  • Implement infrastructure to support high-performance, low-latency inference service.
  • Optimize resource allocation and auto-scaling policies to handle variable inference demand while minimizing operational costs.
  • Develop Python-based scripts and APIs to streamline data preprocessing, inference execution, and post-processing for real-time inference tasks.
  • 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.
  • Document and track defects, enhancements, and release notes using tools like Jira and Git, ensuring version control and traceability.

Requirements

  • Master's degree (or foreign equivalent) in Computer Science or a related field.

Skills

  • Docker and Kubernetes;
  • Java or C++;
  • ActiveMQ and Kafka;
  • Python or Groovy;
  • JavaScript or TypeScript;
  • Linux;
  • SQL, OracleDB, and Redis; and
  • Git
  • Why Join Cerebras
  • Members of our team tell us there are five main reasons they joined Cerebras:
  • Publish and open source their cutting-edge AI research.
  • Work on one of the fastest AI supercomputers in the world.

Benefits

  • Collaborate with machine learning engineers to validate inference accuracy and performance against functional and latency requirements.

Company info

  • Build a breakthrough AI platform beyond the constraints of the GPU.
  • Enjoy job stability with startup vitality.
  • Our simple, non-corporate work culture that respects individual beliefs.
  • Author detailed technical documentation for infrastructure configurations, inference workflows, and APIs, ensuring clarity for internal teams and external customers.

This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.