Edge & Physical AI HW Product Manager

Job highlights

• Experience with competitive analysis and differentiation strategy in a fast-moving semiconductor segment . Strong cross-functional leadership skills - ability to drive alignment across architecture,engineering,sales,marketing,and executive stakeholders .
• Good to have: .
• Direct experience in AI / ML inference silicon - NPU,GPU,or inference accelerator product management .

Job Responsibilities:

• Define and maintain the multi-generational hardware roadmap across discrete NPUs (Ara series), i.MX-integrated NPU IP, and chiplet-based scale-out architectures
• Translate customer requirements and competitive intelligence into silicon product specifications including performance targets (TOPS, TOPS/W, TOPS/sq.mm), memory architecture, power, I/O, packaging, safety and process node decisions
• Drive product definition through architecture review, design partitioning, and feature tradeoff decisions in close collaboration with silicon architects and engineering leads
• Own the business case for each hardware product - BOM cost, ASP, gross margin targets, volume projections, and NPV - and present investment recommendations to executive leadership
• Lead make-vs-buy-vs-IP-license assessments for new capabilities including MAC array architectures like in-memory compute, non-uniform memory subsystems, memory architectures and interconnect IP like UCIe

• Define chiplet strategy for scale-out NPU configurations - including die partitioning, die-to-die interface selection, and multi-chip package requirements to support larger model inference workloads

• Partner with the i.MX, S32 SoC, i.MCU, and RT product teams to define NPU IP integration requirements, including power domains, bus interfaces, memory bandwidth allocation, software-hardware co-design constraints, SoC bring-up, and debugging.

• Drive early access and customer sampling programs; gather validated product requirements from lead customers and feed them into architecture decisions before freeze
• Own the competitive benchmarking framework - track competing NPU silicon from Qualcomm, Nvidia, RockChip, Hailo, Axelera, Ambarella, and others; define differentiation strategy on formfactors, performance, power, cost, safety, support and software ecosystem
• Manage product lifecycle from definition through ramp, sustaining, and EOL - including customer transition plans across generations
• Represent the NPU hardware portfolio to NXP executive leadership, customers, partners, and at industry events
• Co-own SW development of dNPU, integrated and chiplet based designs w/ the SW product manager
• Develop end-to-end system solutions and demonstration platforms for hardware and software developers at industry events and conferences.

Job Qualifications:

• 10+ years of product management or product strategy experience in semiconductor or silicon IP, with direct ownership of hardware product definition and roadmap
• Hands-on experience defining silicon product specifications - performance targets, memory architecture, power envelopes, packaging, and process node decisions
• Strong understanding of SoC and IP integration - experience defining IP for integration into a host processor or SoC is strongly preferred
• Familiarity with chiplet architectures and multi-chip interconnect standards (UCIe, BoW, or equivalent) is a significant plus
• Track record of driving design wins and customer adoption across multiple product generations
• Ability to build and defend business cases including BOM cost, ASP, gross margin, and market sizing
• Experience with competitive analysis and differentiation strategy in a fast-moving semiconductor segment
• Strong cross-functional leadership skills - ability to drive alignment across architecture, engineering, sales, marketing, and executive stakeholders
• Excellent written and verbal communication skills; able to represent complex technical tradeoffs to both engineering teams and executive audiences

Good to have:

• Direct experience in AI/ML inference silicon - NPU, GPU, or inference accelerator product management
• Familiarity with inference workloads including CNNs, transformers, LLMs, and VLM variants deployed at the edge
• Experience working with ODMs, OEMs, and contract manufacturers on board design, system integration, and production
• Background in industrial, automotive, or embedded edge markets
• MBA or advanced degree in Electrical Engineering, Computer Engineering, or related discipline

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