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...
#LI-2734Skills Required
- Experience in defining architecture for compute, memory, and high-speed interface subsystems
- Strong understanding of AI inference workloads and related optimizations
- Experience collaborating with software and hardware teams for co-optimization
- Ability to develop high-level architecture and performance models
- Experience with RTL design and analysis
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








