Qualcomm
IE-IOT- Embedded Software Applications Engineer – AI/ML - Qualcomm - Farnborough, UK
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Software Engineer, AI/ML Applications Engineering
Company: Qualcomm Technologies International Ltd Location: Farnborough
About the Role
This position lies within Qualcomm’s Infotainment & IoT (IE-IOT) Application Engineering Group, a team that collaborates closely with global partners and customers from conceptualization through to product commercialization.
You’ll play a critical role across embedded software development, including:
- Software and hardware design
- Feature prototyping and integration
- Customization and optimization
- Debugging and performance tuning
We seek a highly skilled Software Engineer with expertise in AI/ML on embedded platforms (Linux or Android). Your core responsibilities will include:
- Providing technical support to Qualcomm customers and partners
- Designing, developing, and debugging AI/ML solutions for embedded systems
- Customizing and optimizing software per product requirements
- Leveraging Qualcomm’s SoC capabilities for performance enhancement
The ideal candidate excels in:
- Rapid onboarding into existing projects
- Understanding IE-IOT platform hardware/software architectures
- Writing/reading technical specifications and requirements
- Problem-solving and analytical reasoning
- Cross-functional collaboration
This role empowers you to work on cutting-edge technologies in infotainment systems, digital cockpits, and autonomous driving, shaping projects from conception to commercial success.
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Responsibilities
- Develop and optimize AI/ML models for invoke-edge embedded systems
- Bring forward custom hardware/software reference designs for customer debugging
- Integrate and benchmark AI innovations in IE-IOT/VR platforms
- Collaborate with cross-functional teams on CAPEX planning, technical requirements, and validation
- Establish best practices and tools for efficient AI workload deployment
Minimum Qualifications
Experience
- 4+ years in AI/ML software development
- 8+ years embedded platform experience
- 4+ years Linux/Android experience
(Proficiency in top-tier ML frameworks)
- CV/DL frameworks: OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2
- Hands-on with supervised/unsupervised ML (Computer Vision, NLP, LLMs)
- ML/MLOps development pipeline expertise
- Vector math, conditional operators, and neural net optimizations (CNNs, object detection, segmentation)
- Quantization approaches, accelerating inference on bare metal/RTOS
Technical Skills
- C/C++ and scripting (Python) for embedded software integration
- ML/DL debugging and performance tuning
- Open-source CI/CD for reproducible workflows
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Education
An accredited degree in Engineering, Information Systems, or Computer Science with:
- Bachelor’s + 6+ years of experience, OR
- Master’s + 5+ years of experience, OR
- PhD + 4+ years of experience
Additional Requirements
- Assertive communication + customer-focus
- Multi-disciplinary collaboration
Preferred Qualifications
- Experience with embedded AI platforms (drones, robotics, smart audio-visual)
- Familiarity with MLPerf and dedicated accelerators
- Hands-on debugging tools (JTAG, ftrace, GDB)
- Expertise in Quantized Neurosymbolic learning or inference-stack integration
Corporate Notes
Disability Accommodations: Qualcomm ensures equal opportunity for all applicants with disabilities. For support during the hiring process, contact disability-accommodations@qualcomm.com.
Staffing Agencies: Our system is for direct candidates only. Unsolicited resumes will not be accepted, and Qualcomm disclaims liability for fees. No forwarding allowed.
Integrity Policy: All employees must protect confidential data and proprietary information as per company guidelines.
For job discussions, inquire via Qualcomm Careers ASC.
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