Robotics Technical Systems Expert (m/f/d) - Europe

Technology, Data & Digital · Software & Web Development · Software Engineering · Embedded Systems

In short

Qualcomm seeks a senior Robotics Technical Systems Expert in Europe to be the lead technical authority for robotics platforms. This role involves architecting complete robotics solutions using Qualcomm technologies, guiding customers on AI, perception, connectivity, and autonomy, and supporting deployments from concept to production.

Responsibilities

Serve as lead technical advisor for major robotics engagements across Europe.
Define end-to-end robotics architectures using Qualcomm technologies.
Support customer design activities from concept through production.
Guide customers in AI inference architectures, sensor fusion, multi-camera systems, SLAM and navigation, ROS/ROS2 integration, connectivity (5G, Wi-Fi, Bluetooth, UWB), and cloud and edge architectures.
Lead architecture reviews with customers and internal teams.
Work closely with Qualcomm engineering organizations to resolve complex technical issues.
Identify gaps and opportunities for future platform development.
Develop technical reference architectures and white papers.
Support ecosystem partnerships involving sensors, middleware, autonomy software, and robotics frameworks.
Deliver executive technical briefings to strategic customers.

Requirements

Bachelor's degree in Robotics, Electrical Engineering, Computer Engineering, Computer Science, or related field.
12+ years of experience developing complex embedded systems or robotics platforms.
Strong expertise in robotics system architecture.
Experience with AI and computer vision deployment on edge devices.
Ability to work across hardware, software, and cloud domains.
Strong customer-facing communication skills.

Desired Qualifications

Master's or PhD in Robotics, AI, Computer Science, or Engineering.
Deep expertise in ROS2 ecosystems.
Experience with autonomous robot development.
Knowledge of safety-critical systems and functional safety concepts.
Experience with heterogeneous computing architectures including CPU, GPU, NPU, DSP, and real-time processing.
Previous experience supporting Tier-1 industrial or robotics OEMs.

Skills

RoboticsSystems EngineeringAIComputer VisionEdge ComputingEmbedded SystemsROS25GWi-FiBluetoothUWBCloud ComputingSLAMNavigationSensor FusionHeterogeneous ComputingCPUGPUNPUDSP

#robotics#systems engineering#AI#computer vision#edge computing#embedded systems#ROS2#5G#Wi-Fi#Bluetooth#UWB#cloud#SLAM#navigation#sensor fusion#heterogeneous computing