Sr. Technical Staff

Cerebras Systems•Sunnyvale, CA

1d•Remote

About The Position

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. 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. Cerebras Systems Inc. has multiple openings for Sr. Technical Staff.

Requirements

Master’s degree or foreign equivalent degree in Electrical Engineering, Computer Engineering, or a related field and 3 years of experience as Application Engineer, Sr. Technical Staff, Hardware Engineer, or a related occupation required.
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

Responsibilities

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 wafers 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 to 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 that 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 FPGA’s, power and cooling, and apply that knowledge to the debug of silicon features.
Development of debug tools in Python to program and analyze the behavior of the Wafer Scale Engine.
Development of 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.
Documentation of issues found, tools and flow.