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Cerebras Systems

Member of Technical Staff (Software Engineer)

Cerebras Systems
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about 8 hours ago
Sunnyvale, CA, USAEntry Level / Mid Level
H1B Sponsor

Base Salary

$170k - $175k/yr

Responsibilities

  • Implement infrastructure to support high-performance, low-latency inference service.
  • Deploy and configure Kubernetes services for scalability and reliability.
  • Optimize resource allocation and auto-scaling policies for inference workloads.
  • Integrate inference services with containerized environments using Docker and Kubernetes.
  • Ensure high availability and fault tolerance with multi-region deployments.
  • Develop Python-based scripts and APIs for data preprocessing and inference tasks.
  • Collaborate with machine learning engineers to validate inference accuracy.
  • Triage and resolve defects by analyzing logs and metrics.
  • Debug issues related to model deployment and container orchestration.
  • Collaborate with cross-functional teams to address performance regressions.
  • Develop automated scripts to improve system reliability.
  • Author detailed technical documentation for infrastructure and workflows.
  • Work with product management to define requirements for inference service interfaces.
  • Document and track defects and enhancements using tools like Jira and Git.
  • Participate in release planning and prioritization discussions.

Requirements

  • Master’s degree in Computer Science or a related field.
  • 1 year of experience in software development or related roles.
  • Proficiency in Docker and Kubernetes.
  • Experience with Java or C++.
  • Familiarity with ActiveMQ and Kafka.
  • Knowledge of Python or Groovy.
  • Experience with JavaScript or TypeScript.
  • Proficient in Linux.
  • Familiarity with SQL, OracleDB, and Redis.
  • Experience with Git.

Benefits

  • Opportunity to work on a breakthrough AI platform.
  • Job stability with startup vitality.
  • Non-corporate work culture that respects individual beliefs.
  • Possibility to publish and open source cutting-edge AI research.

Tech Stack

Apache KafkaC++DockerGitGroovyJavaJavaScriptKubernetesLinuxOracle DatabasePythonRedisSQLTypeScript