Software Engineer
Posted 13 Jul 2026
Advertised as “Software Engineer - Tools & Infrastructure / DevOps”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 4–8 yrs
- Management level
- Individual contributor
- Employment
- Hybrid
- Contract
- Full-time
No salary listed for this role.
Field of studyComputer Science (or related)
Study levelBachelor's or higher
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 with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Responsibilities:
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Contribute to the development and maintenance of CICD pipelines, ensuring reliable and efficient build, test, and release workflows across the organization.
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Help manage artifact lifecycle systems including versioning, storage, distribution, and dependency management to support reproducible builds at scale.
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Partner with development teams to design and improve code review workflows, branching strategies, and automated integration processes.
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Provision, monitor, and optimize cloud infrastructure to support CI workloads, balancing cost efficiency with performance and reliability.
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Troubleshoot build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing lasting fixes.
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Contribute to internal build infrastructure, test infrastructure, tooling, and automation that improves developer velocity and engineering productivity.
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Contribute to the company’s efforts on AI tooling to boost engineering productivity efficiently.
Skills & Qualifications
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4-8 years of professional experience in a DevOps, infrastructure, or software engineering role.
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Familiarity with CICD systems and hands-on experiences in building or maintaining automated build and deployment pipelines.
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Understanding of artifact repository management and software packaging concepts.
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Experience with cloud computing platforms (AWS preferred) and programmatic resource provisioning.
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Proficiency with distributed version control systems, code review processes, and repository management.