Cerebras
Staff Software Engineer - Tools & Infrastructure / DevOps
Part remote, part office, you need to live within commuting distance of a named location.
Hybrid · Sunnyvale, CA
Employer listed it 3 weeks ago · Added yesterday
Been open since 3 weeks ago, still being checked, but it has been live a while.
Salary
Not stated
Location
Hybrid · Sunnyvale, CA
Timezone
Not stated
Contract
Full-time
Experience
Lead
Category
Software
This employer didn't state pay. Jobs like this usually pay around $200k–$275k a year, a typical range taken from 596 lead-level software roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Hybrid
This role is only partly remote, the employer expects time in the office around Sunnyvale, CA, Toronto, CAN, Hybrid, so you need to live within commuting distance.
What the employer says
- Source listing states candidate location: "Sunnyvale, CA, Toronto, CAN, Hybrid"
- Listing mentions "Hybrid"
What Nomaders makes of it
- Not suitable if you plan to move between countries
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About 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 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.
Contribute to the company’s efforts around AI tooling to improve engineering productivity and automate repetitive workflows.
Provide technical leadership across projects, influence engineering standards, and mentor other engineers within the Developer Productivity organization.
Participate in on-call and incident response for Developer Productivity systems and services.
Skills & Qualifications
7+ years of professional experience in software engineering, infrastructure engineering, DevOps, developer productivity, or a related area.
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.
Experience with cloud computing platforms, with AWS preferred, and programmatic infrastructure provisioning.
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 containerization and container orchestration, with Kubernetes preferred.
Strong troubleshooting skills and the ability to debug complex distributed systems and infrastructure issues.
Demonstrated experience leading technical initiatives across multiple teams and driving improvements to developer infrastructure at organizational scale.
Ability to identify architectural bottlenecks, evaluate tradeoffs, and drive long-term improvements rather than only addressing operational issues.
Experience operating production systems and participating in on-call, incident response, and postmortem processes.
Requirements
- ·7+ years of professional experience in software engineering, infrastructure engineering, DevOps, developer productivity, or a related area.
- ·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.
- ·Experience with cloud computing platforms, with AWS preferred, and programmatic infrastructure provisioning.
- ·Strong experience with distributed version control systems, code review workflows, branching strategies, and repository management.
Benefits
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, hybrid, matches where you plan to live and work.
- 2Tailor your CV to the role at Cerebras, mentioning your remote working experience.
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 1d ago. Last checked 23 Sept. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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