Software Engineer Inference Platform

Cerebras builds wafer-scale AI computing systems and a cloud inference platform for training, fine-tuning, and serving AI models.

Sunnyvale, California, United States
About Cerebras Systems, Inc.

Cerebras Systems is an AI-infrastructure company founded in 2015. It sells rack-scale wafer-scale computing systems and provides cloud-based, API-accessible AI inference alongside on-premises deployments.

View jobs by Cerebras Systems, Inc.

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will design, develop, test, and maintain production software for an inference orchestration platform. You will improve availability, failover, observability, security, latency, throughput, capacity efficiency, incident response, and scalable system design.

Requirements

  • 3+ years of software engineering experience
  • Large-scale distributed systems or cloud infrastructure
  • Kubernetes
  • Highly available latency-sensitive systems
  • Security
  • Certificates
  • TLS
  • mTLS
  • High-QPS system optimization
  • Go or C++

Responsibilities

  • Design, develop, test, and maintain production software
  • Help define platform direction, Kubernetes custom resource definitions, failure domains, and service boundaries
  • Architect active-active systems with failover, graceful degradation, and service-level objectives
  • Improve latency, throughput, capacity efficiency, and resilience
  • Write and review production code for critical platform paths
  • Drive observability, incident response, capacity planning, and post-incident improvements
  • Translate requirements into scalable system designs with cross-functional partners