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Salary
$220k – $250k per year
Location
In office (Sunnyvale)
Seniority
Staff · 15+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Cerebras Systems is an American computer hardware company founded in 2016 and headquartered in Sunnyvale, California that builds accelerators for artificial intelligence at wafer scale. Instead of assembling clusters from many small chips, it manufactures a single processor the size of an entire silicon wafer, the Wafer Scale Engine, which removes most of the communication overhead in large model training and inference. The company sells CS-series systems to research laboratories and enterprises, operates its own inference cloud known for very high token throughput, and has built large supercomputers with partners including the Gulf technology group G42.

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.

We are seeking an experienced System Signal Integrity and Power Integrity Engineer Lead to solve complex, high-impact integrity challenges in next-generation AI compute systems. This role is focused on deep technical analysis and hands-on problem solving across high-speed interfaces, power delivery networks, rigid and flex interconnects, and advanced packaging.

The ideal candidate is a technical expert engaged to resolve difficult SI/PI problems spanning silicon, package, PCB, flex, and connector domains.

Key Responsibilities:

- Solve complex signal integrity and power integrity problems for high-speed AI compute platforms, including chip-to-chip and chip-to-board interfaces.

- Perform advanced pre-layout and post-layout SI/PI analysis across PCBs, flex circuits, rigid-flex assemblies, connectors, and advanced packages.

- Lead root-cause analysis of challenging SI/PI issues such as margin shortfalls, impedance discontinuities, coupling, resonances, and simulation-to-hardware mismatches.

- Analyze and resolve SI/PI challenges associated with flex circuits, high-speed flex connectors, interposers, and advanced packaging technologies.

- Analyze and troubleshoot power delivery networks using DC and AC simulations and hardware correlation to resolve performance and stability issues.

- Define and refine PCB, rigid-flex, and flex circuit stack-ups, material selections, and impedance structures as required to meet performance targets.

- Review schematics, PCB layouts, and flex designs to identify SI/PI risks and recommend targeted design changes.

- Work closely with silicon and package design teams to resolve SI/PI issues related to bump/ball assignments, package-to-PCB transitions, and interface interactions.

- Act as a technical escalation point for complex SI/PI issues across multiple programs.

Minimum Qualifications:

- Master’s degree in Electrical Engineering.

- 15+ years of demonstrated depth of expertise in system-level signal integrity and power integrity engineering for high-speed hardware systems.

Required Experience and Skills:

- Deep expertise in high-speed serial and parallel interface analysis and debug.

- Strong hands-on experience with PCB, rigid-flex, and flex circuit stack-up design and analysis.

- Advanced SI/PI analysis of flex connectors, high-density interconnects, and advanced packaging technologies.

- Proficiency with 2D and 3D electromagnetic simulation tools.

- Power delivery network analysis, simulation, and lab 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, AI accelerators, hardware accelerator, datacenter, AI Hardware, enterprise product, GPU, CPU, TPU, server platform etc.

Additional Information:

- Experience with large-scale AI or high-performance compute systems is preferred.

Location: Sunnyvale, CA

The base salary range for this position is $220,000 to $250,000+ annually. Actual compensation may include bonus and equity, and will be determined based on factors such as experience, skills, and qualifications.

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:

  • 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.

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.

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