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Salary
$27k – $66k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Senior
Employment
Full-Time
Overview
Company
Impact
Profile match
NXP Semiconductors is a Dutch semiconductor manufacturer headquartered in Eindhoven and founded in 2006 as a spin-off from Philips. The company designs and produces a wide range of products including microcontrollers, application processors, communication processors, analog and power management devices, and connectivity solutions. It operates globally with manufacturing facilities and research centers across Europe, Asia, and the Americas, primarily serving the automotive, industrial, IoT, and mobile markets.

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...

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