Leads the SOX compliance program and builds an independent, risk-based Internal Audit function, advising executives and the Audit Committee on controls, financial reporting, technology, cybersecurity, and enterprise risks.
Cerebras jobs
Develops AI computing systems and inference technology.
79 open roles at Cerebras
Provision and commission network infrastructure, servers, and related systems across large-scale data center deployments, using automation and troubleshooting to bring sites online reliably and at scale.
Build and operate software and infrastructure for large-scale AI compute clusters, improving reliability, monitoring, incident response, and resource utilization across distributed systems.
This role requires deep expertise in RTL design and integration, with a strong focus on delivering high-performance, power-efficient, and scalable solutions.
Own FPGA-based chassis-to-wafer I/O architecture and design, delivering production bitstreams and optimizing network bandwidth, latency, and performance across current and next-generation AI systems.
Diagnose complex electrical and multi-domain hardware failures from system to component level, remotely troubleshoot deployed compute systems, and drive root-cause findings into corrective actions and future designs.
Lead Cerebrasโ global intellectual property strategy, building and managing portfolios across AI hardware, software, and infrastructure while advising technical and business leaders on patents, risk, licensing, and strategic transactions.
Develop and optimize machine learning and linear algebra kernels for a massively parallel processor, using low-level programming, performance analysis, and validation to improve compute utilization and system performance.
Director/Sr. Manager, AI Inference Model Scaling
Leads the Inference Model Scaling organization, setting technical strategy and execution for enabling foundation models on Cerebras hardware through compiler optimization, high-performance kernels, and cross-functional engineering.
Build automation that makes large-scale AI cluster deployments faster, safer, and more reproducible, spanning provisioning, configuration, validation, troubleshooting, and operational handoff.
Deployment Manager โ Global Data Center Build and Deploy
Leads end-to-end AI cluster deployments in large-scale data centers, coordinating rack integration, high-density cabling, facilities readiness, troubleshooting, and cross-functional teams through customer handoff.
Own weekly end-to-end release qualification across Cerebras Cloud, Inference Platform, and Inference API, building a team and scalable practices to triage issues and make confident release decisions.
Build and scale the Cerebras Developer Console, developing frontend systems and backend services for inference workloads, billing, usage tracking, quotas, request logs, and metrics.
Senior Software Development Engineer in Test (SDET) - AI Cluster Networking and Security
Design and automate testing for large-scale AI clusters, validating networking, security, reliability, performance, and observability across distributed software and hardware deployments.
Infrastructure Engineer (Data Center Operations)
Maintain, provision, and troubleshoot on-premise server and networking infrastructure, spanning hands-on hardware installation, Linux systems, high-speed network connectivity, automation, and cross-team operations.
Senior Software Development Engineer in Test (SDET) - AI Cluster
Develop automated test strategies for large-scale AI clusters, validating distributed training and inference infrastructure across software and hardware to improve reliability, performance, security, and observability.
Characterize and optimize AI model performance on Cerebras hardware, building performance models and tools, debugging kernels and runtime behavior, and helping shape next-generation AI architecture and software.
Own quality and reliability for the Cerebras Inference Platform by building test automation and validating deployments across Kubernetes, cloud environments, and Cerebras clusters.
Software Engineer - Tools & Infrastructure / DevOps
Build and improve CI/CD pipelines, artifact systems, cloud infrastructure, and developer tooling while troubleshooting reliability and performance issues across engineering workflows.
Own end-to-end quality for weekly cloud releases, from reviewing changes and assessing risk to building scalable test infrastructure and debugging failures across distributed inference systems.
Lead inference fleet capacity planning and strategy, translating customer commitments and model launches into forecasts, allocation decisions, and infrastructure plans while improving utilization across engineering and operations teams.
Leads data center operations and infrastructure deployments across Western Canada, overseeing facility performance, incident response, site readiness, commissioning, and local teams in coordination with global engineering and operations.
Leads data center operations, facility readiness, and high-density AI cluster deployments across Finland and nearby European sites, managing local teams and aligning field execution with global engineering standards.
Lead test strategy and execution for ML API features, validating inference software and hardware through scalable automation, rigorous model evaluation, and production testing while mentoring engineers and driving quality across teams.
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