Publié il y a 4 mois
Software Engineer - Tools & Infrastructure / DevOps
@ Cerebras Systems
Toronto, Ontario
En bref
Cerebras Systems is hiring a software engineer for tools and infrastructure with a DevOps focus. The work covers CI/CD pipelines, artifact management, cloud infrastructure for CI workloads, and build troubleshooting, with oncall duties for the Dev Productivity org. The posting states full-time employment and asks for 4 to 8 years of experience.
Responsabilités :
- Develop and maintain CI/CD pipelines for build, test and release
- Manage artifact versioning, storage, distribution and dependencies
- Provision, monitor and optimize cloud infrastructure for CI
- Troubleshoot build failures and pipeline bottlenecks
- Build internal tooling and automation to improve developer productivity
Résumé des exigences :
- 4 to 8 years in DevOps, infrastructure or software engineering
- Hands-on experience with CI/CD systems and automated deployment
- Experience with AWS and programmatic resource provisioning
- Experience with containers and Kubernetes preferred
- Participation in oncall and incident response
Outils et compétences
Source et dates
Site carrière / système de candidatures · ashby
- Date publiée par l’employeur
- 2026-07-13
- Première détection par notre source
- 2026-10-08
- Mise à jour du dossier source
- 2026-10-09
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Intermédiaire |
| Domaine | Développement logiciel |
| Expérience | 4 an(s) et plus |
| Heures par semaine | 40 (estimé) |
| Milieu de travail | Bureau |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
| Formation | Baccalauréat (préféré), Maîtrise (préféré) |
| Domaines d’études | Computer Science |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Cerebras Systems
Profil d’entreprise sauvegardé
Renseignements historiques provenant d’un profil The Jobs API sauvegardé (champs LinkedIn/Crunchbase). Ils ne sont pas vérifiés en temps réel; les chiffres peuvent avoir changé. Les valeurs manquantes restent inconnues.
The World's Fastest AI Inference
Description complète de l’entreprise
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up. Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing. From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times. Here’s what makes our platform different: 🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale ⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure 🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously 🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide. 👉 Learn more: www.cerebras.ai Join us: https://cerebras.net/careers/
- Abonnés LinkedIn
- 119 613
- Personnes associées sur LinkedIn
- 970
- Bureaux déclarés
- 1237 E Arques Ave, Sunnyvale, California 94085, US
- 150 King St W, Toronto, Ontario M5H 1J9, CA
- Tokyo, JP
- Bangalore, IN
- Catégories d’activité
- Semiconductor
- Artificial Intelligence
- Software
- Hardware
- RISC
- Artificial Intelligence (AI)
- AI Infrastructure
- Computer
- Autres noms enregistrés
- Cerebras Systems
- Cerebras
- Spécialités
- artificial intelligence
- deep learning
- natural language processing
- inference
- machine learning
- llm
- AI
- enterprise AI
- and fast inference
- Le profil indique une agence de recrutement
- Non
- Investissement total déclaré
- 4 674 771 259
La devise et la date d’observation ne sont pas fournies; ce n’est ni une valorisation actuelle ni une ronde de financement.
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up. Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the…
| Champ | Valeur |
|---|---|
| Secteur | Semiconductor Manufacturing |
| Taille | 501-1,000 employees |
| Siège social | Sunnyvale, California |
| Type d’organisation | Privately Held |
| Spécialités | artificial intelligencedeep learningnatural language processinginferencemachine learningllmAIenterprise AIand fast inference |
| Offres sur Jobsy | 41 |
| Voir la page |
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:
Contribute to the development and maintenance of CICD pipelines, ensuring reliable and efficient build, test, and release workflows across the organization.
Help manage artifact lifecycle systems including versioning, storage, distribution, and dependency management to support 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 to support CI workloads, balancing cost efficiency with performance and reliability.
Troubleshoot build failures, pipeline bottlenecks, and infrastructure issues, driving root-cause analysis and implementing lasting fixes.
Contribute to internal build infrastructure, test infrastructure, tooling, and automation that improves developer velocity and engineering productivity.
Contribute to the company’s efforts on AI tooling to boost engineering productivity efficiently.
Skills & Qualifications
4-8 years of professional experience in a DevOps, infrastructure, or software engineering role.
Familiarity with CICD systems and hands-on experiences in building or maintaining automated build and deployment pipelines.
Understanding of artifact repository management and software packaging concepts.
Experience with cloud computing platforms (AWS preferred) and programmatic resource provisioning.
Proficiency with distributed version control systems, code review processes, and repository management.
Foundational knowledge of operating system concepts (Linux/Unix), networking fundamentals, and scripting for automation.
Experience with containerization and container orchestration (Kubernetes preferred).
Strong troubleshooting skills and a methodical approach to debugging distributed systems.
Curiosity about how large-scale infrastructure is built, operated, and improved.
Being part of oncall and incident response task force of Dev Productivity org.
Preferred Skills & Qualifications
Familiarity with infrastructure-as-code tools and practices.
Scripting proficiency in Python or Shell for build automation and tooling.
Exposure to build systems and build graph optimization.
Understanding of observability practices including monitoring, logging, and alerting.
BS/MS in Computer Science or a related field, or equivalent practical experience.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
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.
Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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