Lead the architectural design and roadmap for enterprise, data center, and cloud networks to support high-performance AI compute. Partner with security and infrastructure teams to implement zero-trust designs and mentor engineers across global regions.
Cerebras Systems
15 Remote Job Openings at Cerebras Systems
Lead the design and implementation of security controls for AI platforms, training and inference workflows, and agentic systems. Develop reusable security patterns and automate policy validation to protect sensitive data and customer environments.
The role involves hardening the foundational layers of AI compute platforms, including the Linux kernel, firmware, and hardware roots of trust. Responsibilities include designing secure boot strategies and conducting deep security reviews of kernel modules and drivers.
Design and operate network security controls, including firewalls and zero-trust architectures, across data center, corporate, and AWS cloud environments. Build and maintain security infrastructure as code while developing detection capabilities for network-based attacker behaviors.
Develop and optimize high-performance machine learning and linear algebra kernels for the Cerebras WSE System. Collaborate with architects to improve instruction sets and microarchitecture for next-generation AI hardware.
Design and develop software features for system resiliency, high availability, and fault-tolerant architecture in distributed environments. Build and maintain cloud-based deployment workflows and APIs for real-time AI inference using AWS and container orchestration.
Member of Technical Staff (Software Engineer)
Cerebras Systems
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Full Time
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5 days ago
Cerebras Systems
Implement and optimize high-performance, low-latency inference infrastructure using Kubernetes and Docker. Develop Python-based scripts and APIs to streamline data preprocessing and ensure system reliability through automated monitoring and debugging.
Perform post-silicon validation, testing, and debugging of Wafer Scale Engines to ensure compliance with hardware specifications. Develop automated regression test scripts and debug tools using Python and shell scripts to optimize wafer bring-up flows.
Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E)
Cerebras Systems
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Full Time
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5 days ago
Cerebras Systems
The role serves as the single-threaded owner for delivering end-to-end data center capacity from forecast and design through construction and go-live. It involves orchestrating cross-functional execution across real estate, power, and infrastructure teams to meet aggressive AI system deployment targets.
Senior / Staff Technical Program Manager - Datacenter Capacity Delivery (E2E)
Cerebras Systems
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Full Time
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21 days ago
Cerebras Systems
Act as the single-threaded owner for delivering end-to-end data center capacity from forecast and design through construction and go-live. Orchestrate cross-functional execution across real estate, power, supply chain, and infrastructure deployment to meet aggressive AI system targets.
Develop and optimize high-performance machine learning and linear algebra kernels for the Cerebras wafer-scale architecture. Collaborate with architects to refine instruction sets and microarchitecture to maximize compute utilization for AI workloads.
Design and develop software features for system resiliency, high availability, and fault-tolerant architecture in distributed environments. Implement cloud-based deployment workflows and Python-based APIs to optimize AI inference performance and scalability on AWS.
Member of Technical Staff (Software Engineer)
Cerebras Systems
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Full Time
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2 months ago
Cerebras Systems
Implement and optimize high-performance, low-latency inference infrastructure using Kubernetes and Docker. Develop Python-based APIs and scripts to streamline real-time inference tasks and ensure system reliability.
Perform post-silicon validation, testing, and debugging of Wafer Scale Engines to ensure compliance with hardware specifications. Develop automated regression test scripts and debug tools using Python and shell scripts to optimize wafer bring-up flows.
The Design Verification Engineer will work with architects, designers, and software engineers to ensure high-quality silicon designs. They will develop verification strategies and methodologies, implement tests, and analyze complex issues across various phases.