Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. Our novel wafer-scale architecture provides the AI compute power of dozens of GPUs on a single chip, with the programming simplicity of a single device. This approach allows Cerebras to deliver industry-leading training and inference speeds and empowers machine learning users to effortlessly run large-scale ML applications, without the hassle of managing hundreds of GPUs or TPUs.
Cerebras' current customers include top model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
Thanks to the groundbreaking wafer-scale architecture, Cerebras Inference offers the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services. This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
The Role
As part of the
Embedded
Software team, you will help build the critical software foundation that powers the
Cerebras
Wafer
Scale
Engine (WSE)—the world’s largest AI processor. Our team owns a diverse range of embedded and
system
level
components that enable the WSE to
operate
reliably at scale, including microcontroller firmware,
wafer
level
monitoring logic, system administration services, and the Linux platform and BSP layers that keep the entire system running smoothly.
This role exists at the intersection of embedded systems, platform engineering, and distributed system enablement. As our technology and deployments continue to scale, we are expanding the team with versatile engineers
eager
to work across multiple layers of the software stack. You will help build administrative services that connect the WSE’s system software to cluster
-
level orchestration, collaborate closely with hardware and ASIC teams, and contribute to the robustness, visibility, and operability of our next
-
generation AI systems.
Responsibilities
Skills & Qualifications
Minimum Qualifications
Bachelor’s degree in computer engineering, Electrical Engineering, Computer Science, or related field.
5+ years of experience in
building production-quality software in C++ or Golang.
Solid understanding of embedded systems fundamentals or system hardware interactions.
Experience working in cross-functional engineering environments.
Preferred Qualifications
Master’s degree in computer engineering, Electrical Engineering, Computer Science, or related field.
Exposure to distributed systems, cluster-level orchestration, or datacenter environments.
Familiarity with Linux kernel concepts, device drivers, or BSP layers.
Experience debugging hardware/software interactions using tools such as logic analyzers, JTAG, or profiling/tracing frameworks.
Experience contributing to system monitoring, observability tooling, or hardware level telemetry pipelines.
The base salary range for this position is $175,000 to $275,000 annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.
Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we’ve reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
Read our blog: Five Reasons to Join Cerebras in 2026.
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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