Senior System Validation & Integration Engineer (Intel IPU Projects)

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About This Role

  • Lead system validation and integration for Intel IPU (Infrastructure Processing Unit) silicon and pre‑silicon projects, supporting one of the most innovative and leading product lines in the industry . • Drive deep understanding of system architecture and requirements; lead definition of comprehensive test plans in collaboration with system architects, design, and firmware teams. • Design, develop, and maintain advanced automation frameworks, system test plans, and validation procedures for both pre‑silicon and silicon environments. • Take a hands‑on leadership role in system bring‑up, feature enablement, integration, and cross‑component debugging. • Own complex failure analysis and root cause investigation across hardware, firmware, and software layers. • Leverage AI and data‑driven methodologies to accelerate debug, anomaly detection, log analysis, and test optimization; actively contribute to AI‑based validation and development solutions. • Drive CI/CD methodologies in validation environments, improving coverage, scalability, and execution efficiency. • Mentor junior engineers, guide technical direction, and influence validation methodologies and best practices. • Work extensively with validation and lab tools such as Lauterbach, LeCroy, IXIA, and advanced debug infrastructures.

Qualifications

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Engineering, Computer Science, or related field. • 7+ years of experience in system validation for pre‑silicon and silicon environments. • Strong experience in IP networking systems with deep understanding of protocols and performance (TCP/IP, routing, traffic flows). • Proven hands‑on expertise in debugging complex system issues across HW/SW/FW boundaries. • Strong programming skills in Python and/or C/C++ , with experience building scalable automation frameworks. • Experience with networking and debug tools such as Wireshark, Scapy, Tcprewrite, NetCat, IPtables , etc. • Experience with AI/ML tools or techniques for debugging, log analysis, or test optimization – strong advantage. • Strong system‑level thinking, with multidisciplinary understanding (embedded systems, HW/SW interaction, architecture). • Proven experience leading test planning, estimation, and execution in complex projects. • Hands‑on experience with CI/CD pipelines and automation in validation environments. • Strong leadership, mentoring, and cross‑team collaboration skills.

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