Level

Cerebras

Sr. Technical Staff

Cerebras is hiring a Sr. Technical Staff in Sunnyvale, United States. Level rates it ; you can apply on Cerebras.

Level's read on this job

  • Builds AI ●●●● is how Level rates this role: the job is building AI systems.
  • The posting mentions OpenAI, Python and Bash among its tools and skills.
  • Level classes it as a senior role.
  • Cerebras has 121 other open roles on Level.

AI in this role

Design and execute post-silicon validation, automation, and debug tools for wafer-scale AI accelerator chips.

openaipythonbashfpga
ai-researchsilicon-validationhardware-debuggingautomationregression-testing

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

We are seeking a Sr. Technical Staff to support the post-silicon validation of Cerebras Wafer Scale Engines. In this role, you will test and debug new silicon, develop automation and debug tools, support wafer bring-up and manufacturing operations, and collaborate across hardware and software engineering teams to ensure high-quality system performance.

Responsibilities

  • Perform post-silicon validation of Cerebras Wafer Scale Engines. Test and debug issues on new silicon.

  • Test, analyze, and characterize high-speed serial interfaces to verify compliance with hardware specifications, record performance data, and recommend design modifications to optimize functionality.

  • Work with the silicon and operations team to test, bring up, and run burn-in on wafer-scale systems.

  • Support manufacturing operations to utilize the wafer bring-up flow. Perform wafer bring-ups, diagnose, and debug problems encountered.

  • Develop and implement hardware to ensure compliance with design specifications.

  • Collaborate with hardware design engineers and system software engineers to review specifications and recommend changes that will improve the quality and verifiability of the hardware designs.

  • Create and maintain automated regression test scripts, using Python and/or Bash, that ensure all tests are run and pass after each change to the design, testbench, tests, or reference model.

  • Work with system team members to diagnose system-related failures. Understand the key system interfaces to FPGAs, power, and cooling, and apply that knowledge to the debug of silicon features.

  • Develop debug tools in Python to program and analyze the behavior of the Wafer Scale Engine.

  • Develop wafer bring-up flow utilizing Python and shell scripts to capture the steps required to bring up a wafer in a logical, easy-to-use flow.

  • Document issues found, tools, and flow.

Skills & Qualifications

Minimum Requirements

  • Master's degree or foreign equivalent degree in Electrical Engineering, Computer Engineering, or a related field.

  • Three (3) years of experience as an Application Engineer, Sr. Technical Staff, Hardware Engineer, or a related occupation.

  • Required Skills

  • Electrical Signal Integrity Analysis.

  • Hardware Bring-up & Debug.

  • Functional and Electrical Characterization.

  • Test automation using scripting language.

  • High-Speed Interfaces & Protocols, including Ethernet, CPRI, or Interlaken.

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.

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.

How we rate this

Sr. Technical Staff at Cerebras rates 80 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI ResearchSilicon ValidationHardware DebuggingAutomationRegression TestingOpenAIPythonBash

Questions you could be asked

  1. Tell me about a research question you investigated. What did you find?
  2. Tell me about a project where silicon validation was part of your work. What did you do?
  3. Tell me about a project where hardware debugging was part of your work. What did you do?
  4. Tell me about a project where automation was part of your work. What did you do?
  5. Tell me about a project where regression testing was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI Research, Silicon Validation, Hardware Debugging, Automation, and Regression Testing. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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