Lead Systems Signal Integrity/Power Integrity Engineer
Sunnyvale, California, United States · On-site
$220k–$250k/yr
Senior+$4.7B raised
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 …
Skills: Signal Integrity, Power Integrity, PCB Design, Flex Circuits, Electromagnetic Simulation
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 …
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Lead Systems Signal Integrity/Power Integrity Engineer
Sign up with Clera and we'll reach out the moment a role actually fits you — no more spraying applications into the void.
$220k–$250k/yr
Full-time
postgraduate degree
Bonus, Equity
Posted 9d ago
~40 hrs/week
Responsibilities
The Lead Systems SI/PI Engineer will solve complex integrity challenges for high-speed AI compute platforms, including chip-to-chip and chip-to-board interfaces. They will perform advanced pre-layout and post-layout analysis while leading root-cause investigations for performance and stability issues.
Requirements
Candidates must hold a Master’s degree in Electrical Engineering and possess over 15 years of expertise in system-level signal and power integrity. Proficiency in electromagnetic simulation tools and deep knowledge of high-speed design fundamentals are required.
Full job description
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.
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Related keywords
Signal IntegrityPower IntegrityAI HardwarePCBFlex CircuitsAdvanced PackagingElectromagnetic SimulationTransmission Line TheoryMicrowave EngineeringHigh-speed SerialHigh-speed ParallelPower Delivery NetworkDC SimulationAC SimulationHardware CorrelationInterposers
Cerebras Systems builds the world's fastest AI inference. We are powering the future of generative AI. We’re a team of pioneering computer architects, deep learning researchers, and engineers building a new class of AI supercomputers from the ground up.
From sub-second inference speeds to breakthrough training performance, Cerebras makes it easier to build and deploy state-of-the-art AI—from proprietary enterprise models to open-source projects downloaded millions of times.
Here’s what makes our platform different:
🔦 Sub-second reasoning – Instant intelligence and real-time responsiveness, even at massive scale
⚡ Blazing-fast inference – Up to 30x faster than GPUs
🧠 Agentic AI in action – Models that can plan, act, and adapt autonomously
🌍 Scalable infrastructure – Built to move from prototype to global deployment without friction
Cerebras solutions are available in the Cerebras Cloud or on-prem, serving leading enterprises, research labs, and government agencies worldwide.
👉 Learn more: https://www.cerebras.ai
Join us: https://cerebras.net/careers/
Offices: 1237 E Arques Ave, Sunnyvale, California 94085, US · 150 King St W, Toronto, Ontario M5H 1J9, CA · Tokyo, JP · Bangalore, IN
artificial intelligencedeep learningnatural language processinginferencemachine learningllmAIenterprise AIand fast inferenceSemiconductor
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