Primary record

AI Inference Core - Senior SW Engineer for Platform & DevOps

Cerebras Indexed employerUS and Canada Offices
Source-hosted applyChecked 1h agoFull-Time
Apply at Cerebras

Cerebras receives this application through Ashby. Babu Careers does not claim delivery.

Workplace

hybrid

Employment

Full-Time

Published

Jul 27, 2026

Closes

No date supplied

The role

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation. Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership https://openai.com/index/cerebras-partnership/ with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference. ABOUT THE TEAM The Core Infrastructure team builds the software systems that power engineering workflows across Cerebras. Our infrastructure coordinates complex work across machines, clusters, development environments, and hardware systems. We build orchestration frameworks, execution engines, scheduling systems, test infrastructure, developer tools, and reusable software platforms that allow engineers to build, test, qualify, and deliver software reliably at scale. These systems are primarily built in Python, but the work goes far beyond scripting or automation. Our frameworks act as the control plane for distributed workflows, managing resources, execution state, concurrency, failures, retries, dependencies, and observability across large and complex environments. ABOUT THE ROLE We are hiring a Software Engineer to build and operate the platform layer behind Cerebras engineering infrastructure. You will work on CI/CD systems, Kubernetes, deployment automation, cloud and on-premises infrastructure, developer environments, artifact management, and observability. You will help make the systems engineers depend on reliable, scalable, and easy to operate. This is an engineering-focused infrastructure role rather than a primarily ticket-d

Requirements

Department: Software; Team: Software