Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale …
Skills: RTL Design, ASIC Vendor Management, Front End Chip Integration, High Speed IO, TCP/IP
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$175k–$275k/yr
Full-time
postgraduate degree
Bonus, Equity
Posted 16d ago
~40 hrs/week
Responsibilities
Lead the design and development of the Wafer Scale Engine, overseeing functional specifications, micro-architecture, and RTL development. Manage external ASIC vendors and collaborate with cross-functional teams to ensure design closure and optimal product performance.
Requirements
Requires a Master's degree in Computer Science or Electrical Engineering with 8-15 years of experience in complex RTL designs. Must have a proven track record of silicon success and expertise in networking stacks and high-speed IO integration.
Full job description
Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; 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.
Cerebras works with the leading 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.
About The Role
As a lead front-end design engineer, you will be a key part of the world-class team designing and developing the next generations of the Cerebras Wafer Scale Engine (WSE).
This role requires deep expertise in RTL design and integration, with a strong focus on delivering high-performance, power-efficient, and scalable solutions. The role also requires close collaboration and management of external ASIC vendor. You will collaborate closely with the design verification, physical design, software and system teams to bring innovative semiconductor architectures from concept to production, addressing the unique challenges of building WSE systems.
Responsibilities
Drive all aspects of chip design, including Functional Specification, Micro-architecture, RTL development, Synthesis.
Managing external ASIC vendor through product development cycle.
Work closely with PD team members for design closure to meet PPA goals.
Work closely with Design verification and DFT teams for achieving the best functional and test coverage.
Work with software and system teams to understand opportunities to deliver optimal performance and feature set for the product.
Debug silicon-level functional, timing, and power issues during bring up.
Requirements
Master’s degree in Computer Science, Electrical Engineering, or equivalent.
Can work in a hybrid work environment.
8-15 years of experience in delivering complex, high performance high quality RTL designs.
Experience with Front End Chip integration and third-party IP integration.
Demonstrated experience in networking, high-performance computing, machine learning or related fields.
Proven track record of multiple silicon success.
Experience collaborating and managing external vendors.
Experience with designing/integrating high speed IO.
Networking stack experience including TCP/IP, RDMA and Ethernet.
Knowledge of PCIe, CPU interfaces and Serdes technology.
Working knowledge of scripting tools : Python, TCL.
Assets
Experience with FPGA development toolchain, including Place and Route, Floor planning and Timing Analysis is a plus.
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:
Build a breakthrough AI platform beyond the constraints of the GPU.
Publish and open source their cutting-edge AI research.
Work on one of the fastest AI supercomputers in the world.
Enjoy job stability with startup vitality.
Our simple, non-corporate work culture that respects individual beliefs.
Find out more about what it's like to work at Cerebras here!
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.
This website or its third-party tools process personal data. For more details, click here to review our CCPA disclosure notice.
Cerebras Systems is the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up.
Our flagship system, Cerebras CS-3, is powered by the Wafer Scale Engine 3—the world’s largest and fastest AI processor. CS-3s are effortlessly clustered to create the largest AI supercomputers on Earth, while abstracting away the complexity of traditional distributed computing.
From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times.
Here’s what makes our platform different:
🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale
⚡ Blazing-fast inference – Up to 100x performance gains over traditional AI infrastructure
🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously
🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction
Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide.
👉 Learn more: www.cerebras.ai
Join us: https://cerebras.net/careers/
Offices: 1237 E Arques Ave, Sunnyvale, California 94085, US · 150 King St W, Toronto, Ontario M5H 1J9, CA · Tokyo, JP · Bangalore, IN
artificial intelligencedeep learningnatural language processinginferencemachine learningllmAIenterprise AIand fast inferenceSemiconductor
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