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Cerebras

AI accelerator hardware replacing GPUs

Lead Systems Signal Integrity/Power Integrity Engineer

Board & Electronics DesignConfirmed live in the last 24 hours
Full-timeSunnyvale, CA, USAIn-person

About the Job

Requirements

  • A Master's degree in Electrical Engineering.
  • At least 15 years of demonstrated expertise in system-level signal integrity and power integrity engineering for high-speed hardware systems.
  • Deep expertise in high-speed serial and parallel interface analysis and debugging.
  • Strong hands-on experience with printed circuit board, rigid-flex, and flex circuit stack-up design and analysis.
  • Advanced signal integrity and power integrity analysis of flex connectors, high-density interconnects, and advanced packaging technologies.
  • Proficiency with two-dimensional and three-dimensional electromagnetic simulation tools.
  • Experience with power delivery network analysis, simulation, and laboratory correlation at the system level.
  • Strong grounding in transmission line theory, microwave engineering, and high-speed design fundamentals.
  • Proven ability to correlate simulation results with hardware behavior and drive concrete design fixes.
  • Experience working on server hardware, artificial intelligence accelerators, hardware accelerators, datacenters, artificial intelligence hardware, enterprise products, graphics processing units, central processing units, tensor processing units, or server platforms.

Responsibilities

  • Solve complex signal integrity and power integrity problems for high-speed artificial intelligence compute platforms, including chip-to-chip and chip-to-board interfaces.
  • Perform advanced pre-layout and post-layout signal integrity and power integrity analysis across printed circuit boards, flex circuits, rigid-flex assemblies, connectors, and advanced packages.
  • Lead root-cause analysis of signal integrity and power integrity issues such as margin shortfalls, impedance discontinuities, coupling, resonances, and simulation-to-hardware mismatches.
  • Analyze and resolve signal integrity and power integrity challenges associated with flex circuits, high-speed flex connectors, interposers, and advanced packaging technologies.
  • Analyze and troubleshoot power delivery networks using direct-current and alternating-current simulations and hardware correlation to resolve performance and stability issues.
  • Define and refine printed circuit board, rigid-flex, and flex circuit stack-ups, material selections, and impedance structures to meet performance targets.
  • Review schematics, printed circuit board layouts, and flex designs to identify signal integrity and power integrity risks and recommend targeted design changes.
  • Work closely with silicon and package design teams to resolve signal integrity and power integrity issues related to bump and ball assignments, package-to-printed-circuit-board transitions, and interface interactions.
  • Act as a technical escalation point for complex signal integrity and power integrity issues across multiple programs.

Desired Qualifications

  • Experience with large-scale artificial intelligence or high-performance computing systems.

About the Company

Cerebras

AI accelerator hardware replacing GPUs

Cerebras Systems creates AI acceleration hardware and software. Its CS-2 system is designed to replace traditional GPU clusters for AI workloads, speeding up training and inference while simplifying the setup by eliminating the need for parallel programming, distributed training, and cluster management. The product works as a single, large processor-based accelerator with accompanying software and cloud services to run AI models efficiently, reducing latency and time to results. Compared with competitors, Cerebras differentiates itself with the largest processor in the industry and an integrated hardware-software stack that aims to streamline AI workflows rather than relying on multi-GPU clusters. The company's goal is to help research labs, healthcare, finance, and other industries achieve faster, more cost-effective AI development and deployment by offering a turnkey high-performance AI compute solution.

Company size
501-1,000
Company stage
IPO
Headquarters
Sunnyvale, CA
Founded
2016

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