Business Development Manager – Robotics & Edge AI

NXP Semiconductors NV; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

NXP Semiconductors NV seeks an experienced Business Development Manager (BDM) for Robotics & Edge AI to spearhead growth across India. You will shape the GTM strategy, identify opportunities in automotive, industrial, and smart city verticals, and close deals with OEMs, Tier-1s, and cloud partners.

A strong technical feel for edge AI and strategic business acumen is essential. The role requires deep ecosystem relationships in India, collaboration with product and engineering teams, and the

Qualifications

• 8–12+ years in a technical customer-facing role / BD / OEM engagement.
• Experience with Edge AI workloads, embedded systems, and IoT.
• Track record in automotive/industrial electronics and ecosystem partnerships.

Responsibilities

• Lead GTM strategy for Edge AI solutions in India and build a robust pipeline.
• Engage OEMs, Tier-1s, cloud providers, ISVs, and system integrators for co-creation.
• Manage full deal lifecycle from prospecting to negotiation to closure.

Skills

Edge AI domain

OEM engagement

Strategic BD

Executive stakeholder management

Education

B.E./B.Tech in Engineering

MBA (preferred)

Tools

TensorFlow Lite

ONNX

PyTorch

Job description

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

• 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.
• 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.
• 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.
• 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.
• 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...