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Salary
$42k – $93k per year (Estimated)
Location
In office (Bengaluru, Hyderabad)
Seniority
Staff
Employment
Full-Time
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NXP Semiconductors is a Dutch chipmaker established in 2006 when Philips spun out its semiconductor division, and it concentrates on embedded processing rather than general purpose computing. Its largest market is automotive, where it supplies radar sensors, vehicle networking, battery management and the secure processors behind keyless entry and digital car keys, alongside industrial and internet of things microcontrollers, mobile secure elements and communications infrastructure silicon. Headquartered in Eindhoven and listed on Nasdaq, it is one of the leading suppliers of near field communication and automotive processing chips in the world.

Role Summary

We are seeking an experienced and highly driven Business Development Manager (BDM) -Robotics & Edge AI to lead our growth strategy across the India market. This role focuses on identifying, shaping, and closing opportunities for Edge AI hardware, software, and end-to-end solutions across multiple industry verticals including automotive, industrial, manufacturing, smart cities, mobility, and surveillance.

The ideal candidate brings a strong mix of technical understanding of Edge AI and strategic business acumen, along with deep customer and ecosystem relationships in India.

Key Responsibilities

1. Market & Business Development

  • 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.

2. Customer Acquisition & Account Leadership

  • 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.

3. Solution Positioning & Technical Understanding

  • 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.

4. Ecosystem & Partnership Development

  • 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.

5. Internal Collaboration & Leadership

  • 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.

Must-Have Qualifications

  • 8-12+ 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)

Soft Skills

  • Excellent communication, stakeholder management, and executive-level presentation skill
  • Ability to collaborate with technical teams and simplify complex concepts
  • Entrepreneurial mindset with ownership and drive

Education

  • Bachelor’s degree in Engineering (ECE, EEE, CSE, or related fields)
  • MBA is preferred but not mandatory
  • Certifications in AI/ML or cloud (AWS/Azure/GCP) are an advantage

More information about NXP in India...

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