Signal Integrity & Power Integrity Engineer (SI/PI)
Cerebras, Sunnyvale, CA, United States
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.
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.
Job Summary
We are seeking a Principal Signal Integrity and Power Integrity Engineer 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 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 stackup 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.
Additional Information
Experience with large scale AI or high performance compute systems is preferred.
The base salary range for this position is $225,000 to $275,000 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.
Read our blog: Five Reasons to Join Cerebras in 2026.
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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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.
Job Summary
We are seeking a Principal Signal Integrity and Power Integrity Engineer 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 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 stackup 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.
Additional Information
Experience with large scale AI or high performance compute systems is preferred.
The base salary range for this position is $225,000 to $275,000 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.
Read our blog: Five Reasons to Join Cerebras in 2026.
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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