IE-IOT- Embedded Software Applications Engineer – AI​/ML - Qualcomm

General Summary

This position is within the company’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 operating systems such as Linux or Android. The primary responsibility is to provide direct support to the company customers and partners in designing, developing, and debugging software issues related to the company reference designs, as well as customizing and optimizing software to meet product requirements using the company 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.

• 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, Tensor Flow, 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
• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field with 6+ years of Software Applications Engineering or Software Development experience, or
• Master’s degree in Engineering, Information Systems, Computer Science, or related field with 5+ years of Software Applications Engineering or Software Development experience, or
• PhD in Engineering, Information Systems, Computer Science, or related field with 4+ years of Software Applications Engineering or Software Development experience
• 3+ years of experience with Programming Languages such as C, C++, Java, Python, etc.
• 3+ years of experience with debugging techniques

• Experience with ML applications in IE-IOT – drones, robotics, smart audio or video collaboration systems, etc.
• Familiarity with ML benchmark suites such as MLPerf
• Experience with dedicated ML accelerators or hardware blocks for embedded AI
• Experience with debugging tools (JTAG, ftrace, GDB)
• Experience tuning GenAI models or reinforcement learning
• Experience with inference optimization and edge deployment

The company is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, the company is committed to providing an accessible process and will provide reasonable accommodations upon request.