Senior SDET - AI Inference Platform Quality & Automation

Cerebras; Sunnyvale (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Cerebras Systems is seeking a seasoned software engineer to join the Inference Service Quality team. You will design, build, and maintain test infrastructure and automation for deploying and validating the Cerebras Inference Platform.

You will validate across environments—from cloud-managed Kubernetes to Cerebras hardware—while improving observability and debugging workflows to ensure reliable, production-ready releases.

Qualifications

• 5+ years of experience in software engineering, QA/quality engineering, systems engineering, or infrastructure development.
• Strong programming skills in Python and/or Go (experience with both is a plus).
• Experience building automation tools, testing frameworks, or internal developer tooling.
• Hands-on experience with CI/CD systems (e.g., Jenkins).
• Experience debugging complex systems, distributed services, or networked infrastructure.
• Familiarity with systems-level development, infrastructure tooling, or platform integration.
• Strong problem-solving skills and the ability to investigate issues across multiple system and infrastructure layers.
• Excellent communication and collaboration skills.
• Experience mentoring junior engineers

Responsibilities

• Design, build, and maintain test infrastructure and automation for deploying and validating the Cerebras Inference Platform.
• Validate the platform across environments — from cloud-managed Kubernetes to deployments running on Cerebras hardware.
• Test and verify deployment infrastructure including Kubernetes workloads, CI/CD pipelines, ingress and service discovery, NGINX, and load balancing.
• Collaborate closely with the Inference Platform development team to ensure new features and platform capabilities ship reliably.
• Investigate and debug complex issues spanning networking, orchestration, deployment, and distributed services.
• Develop and maintain testbeds used to validate platform performance, scalability, and reliability.
• Identify failure points, bottlenecks, and edge cases that impact platform stability and inference performance.
• Contribute to test plans and validation strategies for new platform features and releases.
• Improve observability, diagnostics, and debugging workflows across the inference platform stack.
• Partner with engineering teams to ensure high-quality, production-ready releases of the Cerebras Inference Platform.

Skills

Python

Go

Automation tools

CI/CD

Distributed systems

Systems engineering

Problem solving

Communication

Mentoring

Tools

Kubernetes

ArgoCD

Jenkins

Bazel

k9s

NGINX

Job description

Cerebras Systems is seeking a seasoned software engineer to join the Inference Service Quality team. You will design, build, and maintain test infrastructure and automation for deploying and validating the Cerebras Inference Platform.

You will validate across environments—from cloud-managed Kubernetes to Cerebras hardware—while improving observability and debugging workflows to ensure reliable, production-ready releases.