NXP Semiconductors

Senior Business Development Manager – Edge AI

NXP Semiconductors

full-time

Posted on:

Location Type: Office

Location: Bangalore • India

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Job Level

Senior

Tech Stack

CloudIoTPyTorchTensorflow

About the role

  • Develop, own, and execute the go‑to‑market (GTM) strategy for Edge AI solutions in India.
  • Identify growth opportunities across automotive, industrial, robotics, smart city, retail, healthcare, and public sector domains.
  • Build a strong opportunity pipeline and deliver consistent quarterly growth.
  • Conduct competitive analysis, pricing intelligence, and market positioning for Edge AI offerings.
  • Drive strategic engagement with OEMs, Tier‑1s, cloud providers, ISVs, system integrators, and device manufacturers.
  • Lead C‑suite and senior stakeholder conversations to evangelize Edge AI solutions.
  • Own the full deal lifecycle — from prospecting to negotiation to closure.
  • Work closely with solution architects and engineering teams to develop customer‑specific proposals.
  • Understand and articulate value propositions for Edge AI platforms including CPUs, MCUs, NPUs, accelerators, sensors, and cloud‑edge architectures.
  • Translate customer business needs into technical requirements and roadmap inputs.
  • Support PoCs, pilots, performance benchmarks, and solution evaluation cycles.
  • Develop partnerships with AI/ML ISVs, analytics companies, OEMs, ODMs, chip vendors, and cloud partners.
  • Represent the company in industry events, partner workshops, and technology forums.
  • Build relationships to accelerate joint GTM and co‑selling opportunities.
  • Collaborate with product management, marketing, engineering, and global BD teams.
  • Provide field intelligence and customer insights to influence product roadmaps.
  • Drive cross-functional alignment for customer success and market expansion.

Requirements

  • 8–15+ years of Technical Customer facing role / Business Development / OEM engagement experience in: Edge AI or AI/ML platforms
  • Embedded systems / processors
  • Automotive or industrial electronics
  • IoT or edge computing
  • Strong understanding of: Edge AI workloads (vision, sensor fusion, speech, predictive analytics)
  • NPUs, GPUs, MCUs/MPUs, SoCs, accelerators
  • Sensors (camera, radar, lidar), connectivity, and device-to-cloud systems
  • AI frameworks and pipelines (TensorFlow Lite, ONNX, PyTorch, inference runtimes)
Benefits
  • Bright Minds. Bright Futures.
  • online and offline learning opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
Edge AIAI/ML platformsEmbedded systemsAutomotive electronicsIndustrial electronicsIoTEdge computingAI frameworksTensorFlow LitePyTorch
Soft Skills
strategic engagementstakeholder managementrelationship buildingcross-functional collaborationcustomer insightsnegotiationcommunicationleadershipmarket analysispipeline development