BENGALURU · FULLTIME
Edge & Physical AI HW Product Manager
Kinara
Bengaluru · onsite · Posted 3d ago
Sourced from
Undisclosed10–15 yrsfulltimeBengaluru
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Section · 01
About this role
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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
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Section · 02
Skills
MMExecutive leadershipcomputer engineeringAutomotiveMarket SizingBoard designCompetitive AnalysisCompetitive intelligenceEmbedded Systemsdebuggingelectrical engineeringNode.JsCommunication SkillsArchitecturemarketingbomArtificial IntelligenceMachine Learning
Section · Company
About Kinara
Kinara
Biotechnology
None
CU
₹25L PA avg
Avg at Kinara
About
Kinara delivers unrivaled edge AI solutions to accelerate and optimize real-time decision-making by powering smart edge devices and gateways that demand responsive AI computing at high energy efficiency. The company focuses on innovative technologies that enhance performance and energy efficiency in AI applications. By providing comprehensive support and training, Kinara ensures customers can effectively utilize their products and solutions.
Industries
AI InfrastructureArtificial Intelligence (AI)Computer VisionSemiconductorSoftware
Employee ratings
6 reviews
3.8/ 5
Culture
3.7
Career growth
3.2
Work-life
3.8
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