The Role
Define hardware architectures for AI inference SoCs, oversee design from specification to debug, and collaborate with various teams for performance analysis and validation.
Summary Generated by Built In
- Key Responsibilities
- Define and implement hardware architectures optimized for AI inference SOC's
- Contribute to micro-architecture definition and evaluate design trade-offs for complex SOC including custom-ISA based processors, high-speed interconnects & high-bandwidth IO's
- Own features end-to-end: specification → RTL → integration → synthesis → debug
- Collaborate with physical design teams on synthesis, timing closure, and power optimization.
- Collaborate with verification team to ensure design correctness.
- Work with architect engineers to model workloads, analyze performance bottlenecks, and validate AI inference use cases.
- Required Qualifications
- 7+ years of experience in ASIC/SoC RTL design
- Strong Verilog/SystemVerilog coding skills
- Solid understanding of synthesis, timing, and power analysis
- Experience with Lint/CDC/RDC flows
- Strong debugging and root-cause analysis capability
More information about NXP in India...
#LI-2734Skills Required
- 7+ years of experience in ASIC/SoC RTL design
- Strong Verilog/SystemVerilog coding skills
- Solid understanding of synthesis, timing, and power analysis
- Experience with Lint/CDC/RDC flows
- Strong debugging and root-cause analysis capability
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The Company
