Neuromorphic Front-End Silicon Lead

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About This Role

  • The Opportunity For nearly a decade, Intel's Neuromorphic Computing Lab-together with a global ecosystem of 250+ research groups-has explored architectures, algorithms, and software inspired by the brain's extraordinary efficiency, scalability, and adaptability.
  • Our Loihi series of research chips pioneered event-driven, sparse, and massively parallel neuro-inspired processing, fueling over 100 peer-reviewed publications that validate the promise of this novel approach.
  • Now, we're entering an exciting new chapter: transforming these breakthroughs into real-world products that will power the coming era of physical AI systems-beyond the reach of GPUs and mainstream AI accelerators.
  • If you are passionate about pushing the boundaries of computing, from transistor-level innovation to software abstractions, join us.
  • Help define the next wave of AI technology that harnesses the proven advantages of Intel's neuromorphic computing technology with the versatility demanded by modern AI workloads.
  • Position Overview As our silicon team grows, we are seeking a front-end silicon lead to manage both the design and verification of our neuromorphic chiplets and IP.
  • This principal-level role calls for a talented technical leader with a track record of realizing new processor and accelerator architectures, plus strong SoC integration experience including high-speed interfaces such as Ethernet, PCIe/UCIe, and memory controllers.
  • Your multidisciplinary team will turn emerging neuromorphic and AI accelerator concepts into robust, manufacturable silicon.
  • First-principles thinking and an openness to learning new technologies and methodologies, such as asynchronous design and AI automation, are essential.
  • Responsibilities • Engage with architects and AI researchers to identify hardware innovations and optimizations, and translate them into implementable microarchitectures. • Lead a team responsible for design implementation and verification through post-silicon validation. • Partner with physical/custom design engineers, often first prototyping blocks through place-and-route prior to hand-off, and co-design critical custom circuits such as memories to achieve the best KPIs. • Evaluate, select, and integrate internal and external IP, including I/O interfaces. • Work with software and systems teams to enable development long before tape-out and ensure smooth post-silicon bring-up. • Mentor engineers and strengthen design and verification practices as the program scales.

Requirements

  • MS in Electrical/Computer Engineering, Computer Science, or a related field. • 10+ years of hands-on design experience in processors, accelerators, SoCs, or custom ASICs. • 5+ years of experience with RTL design (Verilog/SystemVerilog) and modern ASIC flows (synthesis, timing closure, CDC/RDC, formal, DFV). • 3+ years leading silicon design and/or verification teams.
  • Preferred qualifications • PhD with a research background in hardware acceleration, especially AI. • Experience with advanced packaging and heterogeneous integration technologies (e.g., chiplets, UCIe, 2.5D/3D). • Experience with asynchronous design methods and custom memory/circuit co-design. • Experience with pre-silicon enablement via emulation or FPGA prototyping. • Experience with low-power (UPF) methods and security features such as Root of Trust and secure boot. • History of technical ownership on multiple product tape-outs.

Benefits

  • We offer a total compensation package that ranks among the best in the industry.
  • It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation.
  • Find out more about the benefits of working at Intel .
  • Annual Salary Range for jobs which could be performed in the US: $220,920.00-311,890.00 USD The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations.
  • Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
  • Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

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