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Cisco Systems, Inc.

Systems Hardware Engineer

Cisco Systems, Inc., San Jose, California, United States, 95134

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The application window is expected to close on: 10/30/25 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Meet the Team Join our high-impact Systems & Optics (SaO) team within Cisco's Common Hardware Group (CHG), providing essential support across key verticals including SP Routing, Enterprise Routing, and Switching. Our team is a foundational partner across CHG-driving innovation, advancing design reliability, and enabling scalable hardware solutions that power Cisco's most critical products. Your Impact You will help shape next-generation system technologies by driving advanced simulation, experimental validation, and cross-functional optimization. Working closely with System Architects, Silicon Design, Supply Chain, Optical and Electrical Design teams, your contributions will directly influence reliability, performance, and manufacturability across programs-while also supporting long-term technology roadmaps and industry leadership. Specific responsibilities include: Develop

and apply novel simulation and experimental methods to enable and optimize

advanced hardware technologies. This includes but is not limited to

scalable system reliability analysis to predict availability and establish

failure rate targets at the system, module and component level. Partner

with team members to design and execute DOEs/test vehicles and

computational analyses to establish design guidelines and optimize

material, geometry, and architecture. Drive

and evaluate system level tradeoffs across performance (power, thermal,

signal-integrity etc.), reliability, manufacturability and cost using

modeling and analysis. Define

failure limits and reliability testing requirements through both physical

validation and accelerated testing models. Act as

the technical lead on one (or more) projects, coordinating crossfunctional

contributors. Collaborate

with academic and industry partners; contribute to standards bodies,

conferences, IP development, and peer-reviewed publications. Minimum Qualifications: MS or

PhD in Mechanical Engineering, Industrial Engineering or similar. 8+

years of experience in statistical analysis and advanced system level

lifetime prediction. Strong

background in mechanical design, reliability, and simulation of complex

structures, with a deep understanding of board-level and system-level

failure modes (e.g., warpage, CTE mismatch, delamination, fatigue). Proficiency

in advanced simulation tools such as Reliasoft Weibull++ and Blocksim,

with a track record of validating models through experimental methods. Demonstrated

expertise in reliability testing, lifetime prediction methodologies, and

characterization of real-world use conditions. Preferred Qualifications: Experience

with Hyper-scaler architecture systems and tradeoffs Knowledge

of simulation and data-driven risk assessments to steer architecture

choices and long-term reliability Track

record of contributions to the industry in the field of system reliability

analysis and experience with developing system level design for

reliability guidelines Strong

cross-functional collaboration skills with experience working closely with

design, manufacturing, and research teams. Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Simply put - we power the future. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.