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Lead post-silicon bring-up and performance optimizations for Cerebras Wafer Scale Engines. Develop/debug production-ready flows, instrumentation, and self-checking metrics. Build infrastructure for large-scale silicon workload testing, collaborate with silicon architects, performance and software teams, and streamline CI/CD and release workflows.

Design, develop, and maintain manufacturing test automation from PCBA to system level, build GUIs and web portals, support contract manufacturers, deploy infrastructure, troubleshoot test software and hardware defects, and integrate test data for traceability and yield improvement.

As a 3D Physical Design Engineer, you'll design and analyze 3D integrated products, focusing on ASIC/SoC design, power, clock, and cooling analysis with an emphasis on physical design methodology.

The Director of Cost Accounting leads cost-related financial activities, ensures accurate costing, and partners with various departments to support company growth and IPO readiness.

Lead and build a research-focused ML team to develop post-training/RL, dataset curation, LLM pretraining, and sparsity techniques; adapt algorithms to Cerebras hardware, run systematic model evaluation, and collaborate with internal teams and external partners to drive production deployments and hardware/software co-design.

As a new engineer at Cerebras, you'll learn their platforms, focusing on programming the Wafer Scale Engine, kernel development, and system performance modeling.

Drive Manufacturing Quality across contract manufacturers, ensuring systems meet quality standards, manage NPI quality readiness, and facilitate continuous improvement through effective problem-solving as part of the Quality Engineering team.

The Director of Business Operations will establish analytics and execution systems, driving operational change and insights to improve performance across supply chain, manufacturing, and data center operations in a rapidly scaling company.

Design and execute verification strategies and reusable SystemVerilog/UVM testbenches. Implement tests, manage regressions, collect coverage, debug across simulation, emulation, and silicon bring-up, and collaborate with architects, RTL, physical design, firmware, and software teams to ensure silicon-quality designs.

The Applied AI Scientist will develop large language models and deep learning solutions, customizing AI systems to meet client needs, and collaborate with stakeholders for project scoping and model architecture selection.