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Cerebras Systems

Memory Controller- Design Verification

Posted Yesterday
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In-Office
Sunnyvale, CA
Senior level
In-Office
Sunnyvale, CA
Senior level
Lead end-to-end verification of AI/ML accelerator blocks, mentor junior engineers, and implement robust verification strategies in collaboration with cross-functional teams.
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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 role, you will play a pivotal part in shaping the future of AI/ML hardware by leading the end-to-end verification of a key block within our next-generation AI/ML accelerator. You will work closely with top talent across cross-functional teams including architecture, design, physical design, and software to ensure the highest quality of our products.

As the senior verification member, you will be responsible for driving comprehensive verification strategies from block-level simulations through post-silicon validation. This includes leveraging a variety of methodologies, tools, and environments to ensure robust and efficient verification coverage.

As a senior team member, you will mentor junior engineers and provide technical leadership across projects. Your insights will directly influence project planning, feature definition, verification methodologies, and schedules, playing a key role in shaping both the verification organization and the company’s product roadmap.

Key Responsibilities    

  • Own and drive the end-to-end verification of a critical IP block from early planning to post-silicon validation for high-performance AI/ML chip .
  • Define and implement verification strategy, test plans, coverage metrics and methodologies tailored for AI-specific computation and dataflow.
  • Develop and maintain constrained-random and directed testbenches using industry-standard methodologies (e.g., UVM).
  • Collaborate with cross-functional teams including architecture, RTL design, physical design, firmware, and validation.
  • Analyze and debug complex issues across simulation, emulation, and silicon bring-up phases.
  • Continuously enhance verification infrastructure and flows to improve efficiency and quality.
  • Review design and architecture specifications to ensure functional correctness and testability.
  • Mentor and guide junior team members on technical issues and professional development.Provide regular updates and strategic input to leadership on progress, risks, methodology, and resourcing needs.
  • Contribute to the evolution of the overall verification methodology and best practices across the organization.

Skills and Qualifications

  • 10+ years of Design Verification experience.
  • Deep knowledge of SystemVerilog language and UVM testbenches.
  • Experience developing scalable and portable testbenches and components.
  • Experience working on block and full chip verification.
  • Experience with verification methodologies and tools such as simulators, waveform viewers, build and run automation, coverage collection, gate level simulations.
  • Proficient in a scripting language such as Python.
  • Good interpersonal skills and ability & desire to work as a standout colleague are a must.
  • Extremely self-motivated and eager to solve problems.

Preferred Skills

  • Hand-on experience verifying memory controller is plus
  • BS or MS in electrical engineering or computer engineering

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:

  1. Build a breakthrough AI platform beyond the constraints of the GPU.
  2. Publish and open source their cutting-edge AI research.
  3. Work on one of the fastest AI supercomputers in the world.
  4. Enjoy job stability with startup vitality.
  5. 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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Top Skills

Python
Systemverilog
Uvm

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