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NXP Semiconductors

Edge & Physical AI HW Product Manager/Director

Posted 4 Days Ago
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In-Office or Remote
Hiring Remotely in Bangalore, Bengaluru Urban, Karnataka, IND
Expert/Leader
In-Office or Remote
Hiring Remotely in Bangalore, Bengaluru Urban, Karnataka, IND
Expert/Leader
Lead the multi-generational roadmap, product definition, business cases, competitive strategy, customer sampling, and lifecycle management for NXP’s edge NPU hardware portfolio. Define silicon specifications, chiplet architectures, SoC integration requirements, and make-versus-buy decisions while coordinating architecture, engineering, software, sales, marketing, customers, and executives. Drive design wins, demonstrations, product ramp, sustaining activities, and end-of-life transitions across AI inference hardware generations.
The summary above was generated by AI

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

More information about NXP in the United States...

NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

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NXP Semiconductors Bengaluru, Karnataka, IND Office

Bengaluru, India

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