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 global corporations across multiple industries, national labs, and top-tier healthcare systems. In January, we announced a multi-year, multi-million-dollar partnership with Mayo Clinic, underscoring our commitment to transforming AI applications across various fields. In August, we launched Cerebras Inference, the fastest Generative AI inference solution in the world, over 10 times faster than GPU-based hyperscale cloud inference services.
The Role:
In this exciting role, you will be responsible for silicon level optimizations of Cerebras’s Wafer Scale Engine (WSE). Suitable candidate will have experience delivering end to end solutions working closely with teams across chip design, system performance, software development and productization.
Responsibilities:
- Work with the silicon architects/designers, performance engineers and software engineers to enhance performance of Wafer Scale Engines.
- Work on refining AI Systems across H/W-S/W design constraints such as di/dt, V-F characterization space, current and temperature limits in relation to optimizations for performance.
- Develop flows that embed well tested and deployable optimizations in production processes to reduce time and costs
- Develop/Enhance infrastructure to enable silicon for real world workload testing
- Develop self-checking metrics, as well as instrumentation for debug and coverage
- Work across domains such as, Software, Design, Verification, Emulation & Validation to refine and optimize performance and process.
- Work with CI/CD tools, git repositories, github, git actions/Jenkins, merge and release flows to streamline test and release.
Skills & Qualifications:
- BS or MS in EE, ECE, CS or equivalent work experience
- 15+ years of industry experience
- 10+ years of experience in Pre-silicon & Post Silicon ASIC hardware
- Good understanding of computer architecture and networking
- Excellent Coding in languages such as Python/Verilog/SystemVerilog and C
- Proficient in hardware/software codesign and layered architectures.
- Excellent debugging, analytical, and problem-solving skills
- Proficient in large scale testing and automation using pytest and python
- Working knowledge of databases such as SQL and MongoDb and visualization using Grafana or Tableau.
- Good presentation skills to refine diverse information and put forth optimization strategies and results.
- Good interpersonal skills, ability & desire to work as a standout colleague
- Proven track record of working cross-functionally learning fast and driving issues to closure
Preferred:
- Previous work in AI-ML with 100+ CPU core & communication fabric based design.
- Familiarity with in-line testing and diagnostics using CPU memory and execution with self-checking.
- Knowledge of chip defect profiles and mitigation strategies across the hardware and software stack
- Familiarity in creating test and s/w infrastructure at large scale
Location:
North America based. Sunnyvale, California.
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.
Read our blog: Five Reasons to Join Cerebras in 2025.
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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What We Do
Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, functional business experts and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art.
The CS-2 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE-2). The WSE-2 is the largest chip ever built. It contains 2.6 trillion transistors and covers more than 46,225 square millimeters of silicon. The largest graphics processor on the market has 54 billion transistors and covers 815 square millimeters. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, neural networks that in the past took months to train, can now train in minutes on the Cerebras CS-2 powered by the WSE-2.
Join us: https://cerebras.net/careers/
