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-2734Top Skills
Systemverilog
Verilog
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The Company
What We Do
NXP Semiconductors N.V. (NASDAQ: NXPI) enables a smarter, safer and more sustainable world through innovation. As a world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets. Built on more than 60 years of combined experience and expertise, the company has approximately 34,500 employees in more than 30 countries and posted revenue of $13.21 billion in 2022. Find out more at www.nxp.com. Privacy Policy: https://www.nxp.com/company/about-nxp/privacy-policy-for-social-media-pages:PRIVACY-POLICY-SOCIAL-MEDIA








