Job Description

Architecture & Micro-Architecture

  • Define product feature and capabilities and own the architecture for compute, memory, interconnect & high-speed interface subsystems in the AI inference chip.
  • Collaborate with various software teams to co-optimize hardware features for AI workloads.
  • Collaborate with RTL designers to identify complex technical issues/risks. Review and guide RTL implementation, ensuring consistency with architectural intent and timing/power goals
  • Collaborate with Physical-design teams for Area/Floorplan refinement, Timing targets etc.
  • Define and document interface specifications, control/status logic, and pipeline structures.
  • Lead PPA analysis and trade-off discussions across RTL and architecture.

AI Workloads & HW-SW Co-Design

  • Collaborate closely with various software to co-optimize hardware features for real-world AI inference workloads.
  • Incorporate considerations such as, quantization, sparsity, dataflow, scheduling, memory bandwidth into architectural decisions.
  • Guide hardware features that improve programmability, debuggability, and long-term software scalability.

Modelling & Analysis

  • Develop and maintain high-level architecture and performance models.
  • Use simulation and architectural models to guide RTL-level improvements.
  • Validate model predictions against RTL or emulation results and refine accordingly.
  • Strong understanding of AI inference workloads, dataflows, quantization, and memory/bandwidth bottlenecks in edge deployments

More information about NXP in India...


Job Details

Role Level: Mid-Level Work Type: Full-Time
Country: India City: Hyderabad ,Telangana
Company Website: http://www.nxp.com Job Function: Engineering
Company Industry/
Sector:
Semiconductor Manufacturing Computers And Electronics Manufacturing And Software Development

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