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AMD

Designs chips for computers and AI systems

AI-Native Networking Silicon Systems Fellow

Silicon & ASIC DesignPosted on Nov 11
Full-timeSanta Clara, CA, USANo salary listedIn-person

About the Job

Requirements

  • Deep technical expertise in networking, ASIC architecture, silicon design, verification, or related hardware domains.
  • Strong expertise in networking architectures, packet processing, forwarding, telemetry, programmable silicon, Network-on-Chip technologies, NIC/DPU, and infrastructure acceleration.
  • Experience with RTL generation, hardware architecture exploration, power, performance, and area optimization, simulation, formal verification, differential testing, and functional equivalence.
  • Experience developing or deploying AI-assisted engineering methodologies and large-scale design or verification automation.
  • Proven ability to lead complex, cross-disciplinary initiatives spanning hardware, software, AI, and engineering infrastructure.
  • Demonstrated influence on architecture and technology strategy across organizations.
  • Recognized technical contributions through patents, publications, or industry-defining innovation.

Responsibilities

  • Define and lead AI-assisted methodologies for generating synthesizable RTL from high-level architectural specifications and programmable packet-processing pipelines.
  • Develop automated techniques to optimize pipeline organization, lookup structures, memories, and datapaths for power, performance, area, and cost.
  • Drive AI-assisted hardware architecture exploration, implementation, and design optimization.
  • Lead automated verification generation, including reference models, testbenches, assertions, coverage plans, and regression environments.
  • Establish methodologies to prove functional equivalence between programmable and generated implementations using simulation, formal verification, and differential testing.
  • Provide technical leadership across networking silicon, packet processing, telemetry, forwarding architectures, Network-on-Chip technologies, and infrastructure acceleration.
  • Guide architectural tradeoffs across multiple ASIC programs and influence future networking IP, Enterprise NIC, DPU, and embedded networking architectures.
  • Define reusable AI frameworks and scalable software infrastructure for architecture, design, verification, debug, and optimization workflows.
  • Influence AMD's broader AI-enabled engineering strategy and drive improvements in engineering productivity across silicon development.

About the Company

AMD

Designs chips for computers and AI systems

AMD designs processors, graphics chips and AI accelerators for computer makers, cloud operators and businesses that build electronic devices. Its Ryzen processors power personal computers, while EPYC processors handle work in data centers and Radeon chips render graphics. Instinct accelerators run AI models, paired with software that developers use to train models and put them into production. AMD sells chips and related computing systems through equipment makers, distributors and retail channels, and contracts with outside foundries to fabricate its semiconductor designs. It was founded in 1969 and has its headquarters in Santa Clara, California.

Company size
10,001+
Company stage
IPO
Headquarters
Santa Clara, CA
Founded
1969

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