Cerebras Systems
Staff Software Engineer - Tools & Infrastructure / DevOps
Sunnyvale, CA · Staff+
Sponsorship not specifiedDetected 4 days ago
PythonGoDistributed SystemsCode ReviewAWSCloud PlatformsKubernetesCI/CDLinuxDevOpsLLMsIncident ResponseComplianceControlsLeadership
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odds of building a lasting career here
40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.
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from this employer's Department of Labor filings
Green-card filing pattern in this occupation
Context, not a finding about this posting: of this employer's 3 green-card filings in this occupation, 100% were for a worker who already held the job.
Files H-1B transfers
22 transfer filings in the last year, covering 22 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.
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About the role
- 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.
- 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.
Responsibilities
- Design, build, and evolve CI/CD pipelines that support reliable and efficient build, test, and release workflows across the organization.
- Own and improve artifact lifecycle systems, including versioning, storage, distribution, dependency management, and reproducible builds at scale.
- Partner with development teams to design and improve code review workflows, branching strategies, and automated integration processes.
- Provision, monitor, and optimize cloud infrastructure supporting CI workloads, balancing cost, performance, scalability, and reliability.
- Troubleshoot complex build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing durable fixes.
- Design and drive improvements to internal build infrastructure, test infrastructure, developer tooling, and automation that increase developer velocity and engineering productivity.
- Identify systemic bottlenecks across developer workflows and lead architectural improvements to developer infrastructure.
- Ability to identify architectural bottlenecks, evaluate tradeoffs, and drive long-term improvements rather than only addressing operational issues.
- Experience building internal developer platforms, self-service tooling, or developer-facing infrastructure.
Requirements
- Deep hands-on experience with CI/CD systems and building or evolving automated build, test, and deployment infrastructure.
- Experience with artifact repositories, software packaging, dependency management, and reproducible build concepts.
- Strong experience with distributed version control systems, code review workflows, branching strategies, and repository management.
- Strong understanding of Linux/Unix systems, networking fundamentals, and scripting or programming for automation.
- Experience with infrastructure-as-code tools and practices.
- Proficiency in Python, Go, Shell, or another language used for infrastructure automation and developer tooling.
- Experience with build systems, build graph optimization, or large-scale build infrastructure.
- Experience with observability practices including monitoring, logging, alerting, and performance analysis.
Nice to have
- Experience with cloud computing platforms, with AWS preferred, and programmatic infrastructure provisioning.
- Experience with containerization and container orchestration, with Kubernetes preferred.
- Preferred Skills & Qualifications
Skills
- Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups.
Company info
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source their cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Enjoy job stability with startup vitality.
- Our simple, non-corporate work culture that respects individual beliefs.
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This listing is sourced directly from Cerebras Systems's careers page and normalized into a canonical job model.