Intel’s CTO AI Group is at the forefront of Intel’s AI strategy. We shape the strategy, systems, software, and silicon to move AI from potential to performance. Our team reaches across the company to drive AI forward – joining an agile, innovation-first culture with Intel’s massive scale to deliver leading-edge breakthroughs and solve real-world AI challenges. Together, we’re not just advancing AI — we're engineering it.
We are seeking an exceptionally motivated and experienced Silicon Development Engineer to lead the architecture/micro-architecture definition and design of complex System-on-Chip (SoC) solutions. This role demands extensive understanding of SoC Architecture, Digital IP, and Network-on-Chip Interconnect design, coupled with significant pre/post-silicon debug expertise. The successful candidate will be instrumental in defining and implementing chassis architectures for advanced high-compute/performance SoCs.
BS in electrical engineer or computer science with 12+ years of experience
8+ Years of in silicon development engineering, with a strong focus on complex SoC Architecture.
5+ years of experience in experience in pre/post silicon debug.
5+ Years of experience with Memory & High-Speed interfacing
Deep understanding of Full chip System bus/fabric architecture (Coherent & Non-coherent).
Proven expertise in building SoCs with complex traffic class system with real time high throughput traffic management.
Strong background in Synthesis & Timing Analysis (Design Compiler/Primetime).
Experience with SOC Partitioning & Floor planning & strong awareness of technology nodes.
Strong understanding of latest DIE2DIE interfaces like UCIE & high-speed peripherals (PCIE) & Low speed peripherals (UART, SPI, CAN)
Solid knowledge of Multi-core infrastructure & IPC communication for efficient & performance SoC (looks good)
Proficiency with Simulation, Validation, and Signoff tools (IUS, Verdi, CDC, RDC, Lint).’’ (looks good)
Experience with 3nm chiplet-based SoC & chassis architecture.
Familiarity with UCIE based chiplet designs.
Hands-on experience with AMBA/CHI/UCIE/PCIE compliant High throughout interconnects.
Prior experience in leading microarchitecture and design for consumer/wireless/automotive/Server HPC SoCs.
Proven track record of defining and implementing low power, isolation & power management architectures.
Experience with third-party IP evaluation and liaison
Demonstrated experience in leading Digital IP teams and function lead roles.
Experienced Hire
Shift 1 (India)
India, Bangalore
As a member of the Chief Technology Office, Artificial Intelligence, and Network and Edge Group (CTO AI NEX), you will be committed to strategically penetrating the AI market by delivering disruptive and transformative solutions. Your focus will be on leveraging technology innovation and incubation to drive commercial success, ensuring that advancements create significant value. The team is dedicated to driving the software-defined transformation of the world's networks profitably, setting new standards for efficiency and connectivity. Through these priorities, you aim to lead the way in technological evolution and redefine the future of global networks.
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
This role will require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.
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