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AI supercomputers and fast inference platform for enterprises

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DevX Technical Writer

Cerebras Systems builds advanced AI hardware and software designed to accelerate AI training and inference. The DevX Technical Writer will conduct original research, build demos and benchmarks, and produce clear technical content about AI hardware, software, infrastructure, and industry developments for developers and the broader industry.

Head of New Media

Cerebras Systems builds AI hardware and platforms that enable high-speed model training and inference. The Head of New Media will shape the company’s video and creative storytelling strategy, lead content production and New Media creators, and translate complex technology into clear, memorable stories across campaigns, launches, and original series.

Head of DevRel Recruiting

Cerebras Systems builds advanced AI hardware designed to deliver significantly faster training and inference than GPUs. The Head of DevRel Recruiting will define and lead the Developer Relations vision, oversee technical content and community programs, manage and coach DevRel contributors, and partner cross-functionally to drive developer adoption and ecosystem engagement.

Senior Research Engineer - Inference ML

Cerebras Systems builds AI hardware designed to deliver high-speed model training and inference. The Senior Research Engineer on the Inference ML team will adapt and optimize language and vision models for Cerebras hardware, researching techniques such as speculative decoding, pruning and compression, sparse attention, and sparsity. The role involves developing inference algorithms, validating and profiling models, and collaborating across software, hardware, and product teams.

Staff Software Engineer - Observability

Cerebras Systems builds large-scale AI hardware and infrastructure for high-speed training and inference. The Staff Software Engineer - Observability will build and evolve observability systems for performance-critical distributed AI inference platforms, including instrumentation, telemetry pipelines, internal tooling, SLIs, SLOs, and alerting. The role will also improve debugging, reliability, developer experience, and incident response across the engineering organization.

ML Runtime and Kernel Engineer - Core ML

Cerebras Systems builds AI-focused wafer-scale computing hardware and platforms. The Core ML team is seeking an engineer to bridge machine learning research and efficient execution on Cerebras systems by developing runtime components and high-performance kernels. The role involves implementing algorithms, diagnosing performance bottlenecks, and delivering robust, high-performance ML capabilities across frameworks, compilers, runtimes, and low-level kernels.

ERP Engineer - Business Systems

Cerebras Systems builds AI hardware and platforms designed to accelerate model training and inference. The ERP Engineer will design, build, integrate, operate, and support scalable ERP solutions across Finance, Supply Chain, manufacturing, datacenter, and enterprise functions while delivering through Scrum and Agile practices.

Software Engineer - New Grad 2026

Cerebras Systems builds AI hardware and infrastructure, and is seeking a New Graduate Software Engineer to help solve systems and infrastructure challenges across its software stack. The role focuses on developing low-level, performance-oriented software for AI-accelerated systems, collaborating closely with hardware, networking, compiler, firmware, and infrastructure teams.

Staff Cloud Infrastructure Engineer

Cerebras Systems builds advanced AI chip and computing systems that accelerate AI training and inference. The Staff Cloud Infrastructure Engineer will design and operate secure, scalable cloud infrastructure and identity platforms across AWS and company data centers, while driving automation, security, reliability, and cross-team technical initiatives.

Design Verification Engineer

Cerebras Systems builds large-scale AI chips and infrastructure designed to accelerate AI training and inference. The Design Verification Engineer will develop verification strategies, reusable test environments, tests, and coverage plans, while debugging issues across simulation, emulation, and silicon bring-up and collaborating with cross-functional hardware and software teams.