Senior Leader – Edge AI & Emerging Technologies

HCLTech Germany; Dortmund; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

A leading company in IT Services seeks a visionary Senior Leader in Edge AI & Emerging Technologies to drive transformative AI solutions globally. This role involves architecting scalable Edge AI systems, collaborating with global partners, and leading cross-functional teams to innovate impactful AI solutions. Extensive experience in Embedded Systems along with strong leadership skills are required for this pivotal position.

Qualifikationen

• 10+ years experience in AI / ML, with 3–5 years in edge / embedded systems.
• Proven track record of delivering commercial Edge AI products.
• Excellent communication skills with various stakeholders.

Aufgaben

• Architect large-scale, distributed Edge AI systems for real-time inference.
• Lead hardware-aware model development for various platforms.
• Define strategies for OTA updates and privacy-preserving AI.

Kenntnisse

Deep knowledge of Edge AI

embedded ML

model compression

Proficiency in Python

C++

embedded programming

Strong grasp of network protocols

Ausbildung

MS / PhD in Computer Science

Electrical Engineering

Robotics

Tools

NVIDIA Jetson

DeepStream

Intel Movidius

OpenVINO

Docker

K3s

RTOS

Jobbeschreibung

We’re looking for a visionary Senior Leader in Edge AI & Emerging Technologies to join our global IT Services organization. Based in Germany, this role operates at the intersection of innovation, strategy, and execution—driving transformative AI solutions across industries and continents.

About the Role

As a senior technology leader, you will architect and lead the development of scalable, real-time Edge AI systems deployed across thousands of devices. You’ll work with cutting-edge hardware, collaborate with global partners and clients, and guide cross-functional teams to deliver impactful, production-grade AI solutions.

Key Responsibilities

• Architect large-scale, distributed Edge AI systems for real-time inference
• Lead hardware-aware model development for platforms like NVIDIA Jetson, Qualcomm Snapdragon, Intel Movidius, and ARM Cortex
• Design and optimize low-latency, low-power AI pipelines using tools like TensorRT, ONNX Runtime, TVM, and OpenVINO
• Build secure, scalable deployment platforms using NVIDIA Triton, K3s, and MLOps frameworks
• Integrate AI with real-world data sources (video, LiDAR, IMU, audio)
• Collaborate with firmware, hardware, and platform teams for system-level optimization
• Define strategies for OTA updates, fleet monitoring, and privacy-preserving AI
• Stay ahead of trends in tinyML, NAS, zero-shot inference, and federated learning

Additional Responsibilities

• Lead the technology solutions organization to meet growth targets
• Define and execute strategic roadmaps for solution development
• Drive skill development and thought leadership across the team
• Engage with global clients and partners to ensure delivery excellence
• Establish best practices for solution reuse and performance monitoring

Your Technical Expertise

• Deep knowledge of Edge AI, embedded ML, and model compression.
• Hands-on experience with :
• NVIDIA Jetson (Orin, Xavier, Nano) + DeepStream
• Intel Movidius + OpenVINO
• Proficiency in Python, C++, and embedded programming
• Experience with edge deployment stacks : Docker, K3s, Yocto, RTOS
• Strong grasp of network protocols, OTA updates, and device provisioning

Your Leadership & Strategy Expertise :

• 10+ years in AI / ML, with 3–5 years in edge / embedded systems
• Proven track record of delivering commercial Edge AI products
• Strong cross-functional leadership across hardware, software, and product teams
• Strategic thinker with the ability to balance latency, accuracy, memory, and power trade-offs
• Excellent communicator with both technical and executive stakeholders

Great to have :

• MS / PhD in Computer Science, Electrical Engineering, Robotics, or related field
• Experience with robotics (ROS / ROS2), autonomous systems, or industrial IoT
• Familiarity with simulation tools (Omniverse, Unity) and synthetic data generation
• Background in cybersecurity for edge devices and air-gapped networks
• Patents or publications in Edge AI or embedded ML

We promote equal opportunities for all employees, regardless of their cultural and social background, gender, disability, age, religion, beliefs, and sexual identity. We give priority consideration to severely disabled applicants and those of equal status in the case of equal suitability.