IE-IOT- Embedded Software Applications Engineer – AI/ML - Qualcomm - Farnborough, UK

Company:

Qualcomm Technologies International Ltd

Job Area:

Engineering Group, Engineering Group > Software Applications Engineering

General Summary:

This position is within Qualcomm’s IE-IOT Application Engineering Group, which works closely with IE-IOT partners and customers from concept through commercialization. The team is involved in all aspects of embedded software, including software and hardware design, feature prototyping and integration, software customization, performance optimization, and debugging—critical for a successful product launch.

We are seeking a strong Software Engineer with solid knowledge and hands-on experience in design, development, debugging, and optimization of AI/ML solutions on one or more operating systems such as Linux or Android. The primary responsibility is to provide direct support to Qualcomm customers and partners in designing, developing, and debugging software issues related to Qualcomm reference designs, as well as customizing and optimizing software to meet product requirements using Qualcomm SoC features.

The ideal candidate will quickly ramp up on existing projects, understand IE-IOT platform hardware and software driver architecture, read and write technical specifications and requirements, demonstrate strong analytical and problem-solving skills, and collaborate closely with external customers to customize and launch new products.

This role offers the opportunity to work on cutting-edge infotainment, digital cockpit, and autonomous driving technologies from leading IE-IOT manufacturers and Tier 1 suppliers, and to see projects through to successful commercialization.

This role is based in our Farnborough office.

Minimum Qualifications

• Strong experience in embedded software development, integration, and debugging
• 4+ years in AI/ML related software
• 8+ years of experience working with embedded platforms
• 4+ years experience with high level OS (Linux, or Android)
• Proficiency in C/C++ and modern scripting languages such as Python
• Hands on knowledge of major CV/DL frameworks: OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2
• Experience with supervised & unsupervised ML, including CV, NLP, and LLM based systems
• Experience with ML/MLOps pipelines for AI application development and deployment
• Solid understanding of ML/DL fundamentals, including CNNs, object detection, segmentation, and related algorithms
• Understanding of neural network operators, linear algebra, quantization, and related mathematical foundations
• Experience optimizing neural networks for embedded systems (latency, throughput, power)
• Excellent system-level debugging and issue triage skills
• Strong communication, collaboration, and customer focused mindset
• Ability to manage tasks, timelines, and drive cross-functional execution
• Ability to quickly learn new technologies and perform deep technical analysis

Preferred Qualifications

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Applications Engineering, Software Development experience, or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience.

• 3+ years of experience with Programming Language such as C, C++, Java, Python, etc.
• 3+ years of experience with debugging techniques.

Keywords:

IE-IOT, AI/ML , Embedded Software , Machine Learning , Computer Vision, PyTorch, TensorFlow, Neural Network, LLM, Deep Learning, Problem Solving, GenAI

*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.

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