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…
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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.
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
Cerebras Systems a 41 offres ouvertes au Canada en date du 10 novembre 2026. Principaux lieux : Toronto et Vancouver.
12+ ansCerebras Systems needs 12-15+ years in mission-critical facilities or data center operations, multi-site vendor-heavy program experience, and strong electrical and mechanical systems expertise. Hyperscale or AI infrastructure experience, liquid cooling knowledge and executive communication skills are preferred.
Procurement, Manage time, Leadership, Supply chain management, Regulatory compliance, Communication skills
Cerebras Systems needs candidates with Staff-level experience leading complex NPI, systems integration or infrastructure deployment programs, plus a working understanding of data center compute, networking, power, cooling and rack integration. Strong communication skills for explaining tradeoffs to senior stakeholders are also required.
Cerebras Systems needs candidates with experience leading complex technical programs, strong SQL and Python skills, and the ability to validate datasets and build operational dashboards. Candidates should be able to discuss APIs and data models with engineers and communicate clearly with leadership.
SQL, Python, ERP systems, Business intelligence tools, Inventory systems
5+ ansCandidates need 5+ years of software engineering experience, strong Python and a production language such as Go, C++ or Rust, and experience building production APIs and operating services on Linux with containers and Kubernetes.
Kubernetes, vLLM, PyTorch, Hugging Face Transformers, LLGuidance, CUDA
Cerebras Systems needs candidates with solid software engineering skills in Python, Go or a similar language, and experience building automated tests for complex systems. They also need strong debugging skills, CI/CD experience, and the ability to work independently across multiple engineering teams.
Cerebras Systems needs strong programming ability in Python or Go and proven technical leadership in software quality, test infrastructure, or release engineering. Candidates should have experience designing test automation for distributed or AI systems and an ability to diagnose cross-stack failures.
5+ ansCandidates need 5+ years of professional software engineering experience, strong Python skills and experience designing maintainable systems or APIs. Solid understanding of concurrency, operating systems and distributed-systems concepts is also required.
3+ ansCandidates need a PhD in machine learning or computer science with 3+ years of experience, or a master's with 4+ years. They need strong research impact, deep knowledge of modern ML architectures, and strong Python skills with PyTorch.
12+ ansCandidates need 12+ years of production distributed systems experience, strong Go skills, and experience with control planes, APIs and Kubernetes. Strong testing practice and sound judgment on reliability and observability are also required.
Go, Protocol Buffers, SQL, Python, Kubernetes, Linux
Cerebras Systems needs candidates with a background in computer science, computer engineering or electrical engineering, plus experience building high-performance systems, ML systems, compilers or kernels. Strong C++ and Python skills, and familiarity with PyTorch or JAX, are required.
5+ ansCandidates need 5+ years of software engineering experience with substantial individual-contributor ownership of production systems. Strong Python and Go, plus systems-language experience in C++ or Rust, and experience with streaming, REST or gRPC inference APIs on Linux, containers and Kubernetes are required.
Kubernetes, vLLM, PyTorch, Hugging Face Transformers, ROCm, Triton
1+ ansCerebras Systems needs candidates with a degree in computer or electrical engineering or computer science, or equivalent practical experience, and at least one year in infrastructure or data center work. They also need hands-on knowledge of server, storage and networking hardware, scripting skills in Python, Bash or PowerShell, and strong attention to detail.
3+ ansCandidates need a Master's or PhD in Computer Science or Electrical Engineering with one year of industry experience, or three or more years of industry experience. Strong networking knowledge, socket programming, embedded systems and some driver development are expected.
8+ ansCerebras Systems needs 8+ years of software test or infrastructure quality experience. Candidates must have hands-on GPU cluster bring-up experience, knowledge of LLM serving engines, expert Python and strong Kubernetes, Slurm or Ray skills.
5+ ansCandidates need 5+ years building production distributed systems or infrastructure software, strong Go and Python skills, and real Kubernetes depth including controllers, operators, CRDs and RBAC. They also need Prometheus and Grafana experience, strong debugging across distributed systems, Linux and networking, and a demonstrated habit of using AI coding agents in their work.
7+ ansCandidates need 7+ years in cloud infrastructure, platform, identity or security engineering, plus hands-on AWS and Kubernetes experience. They must know SAML, OAuth2, OIDC and SCIM, and code in Python or Go with Terraform. A security-first mindset with Zero Trust, SOC2, FedRAMP or ITAR experience is required.
7+ ansCandidates need 7+ years of software, infrastructure or DevOps experience, deep hands-on work with CI/CD systems, and experience with cloud platforms and Kubernetes. They also need strong troubleshooting, Linux and scripting skills, and experience leading initiatives across teams.
8+ ansCandidates need 8+ years building and operating production software, strong backend fundamentals in APIs, distributed systems and databases, and a bachelor's or master's in computer science or equivalent experience. Experience with GraphQL, Postgres and Redis is helpful.
5+ ansCandidates need a bachelor's degree in a technical field and at least 5 years in network and server provisioning, data center infrastructure or SRE. They must be proficient in Python, shell scripting, Linux, Kubernetes, Terraform and Ansible, with strong knowledge of networking fundamentals such as BGP, OSPF, VLANs and PXE.
6+ ansCandidates need 6 to 8 years of experience running complex compute infrastructure, strong Python and Go skills, and deep knowledge of distributed systems, Linux, Docker and Kubernetes. Monitoring and alerting experience and a willingness to work on-call 24/7 are also required.
8+ ansCandidates need 8+ years of software engineering experience with ownership of complex production systems. Strong C++ and Python, LLM inference serving experience (such as vLLM or TensorRT-LLM) and GPU performance knowledge are required.
5+ ansCerebras Systems needs candidates with 5+ years in platform, DevOps or software engineering, hands-on CI/CD and Kubernetes experience, and a major cloud platform background. Strong Linux, networking, Python or Shell skills and monitoring experience are also required.
3+ ansCandidates need a Bachelor's, Master's or PhD in electrical engineering or computer science, with 3+ years in computer architecture, performance or kernel optimization. Strong C++ and Python, plus analytical problem-solving, are required.
4+ ansCandidates need 4 to 8 years in DevOps, infrastructure or software engineering, with hands-on CI/CD, cloud (AWS preferred), Linux and Kubernetes experience. Strong troubleshooting skills and participation in oncall are also expected.