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

Qualcomm; Farnborough; On-site; GBP 65,000 - 85,000; Full time

Job summary

A leading automotive technology company in Farnborough is seeking a Software Engineer to support the development and debugging of AI/ML solutions tailored for their automotive applications. The ideal candidate will possess over 5 years of experience in embedded software development and demonstrate proficiency with C/C++ and machine learning frameworks. This role requires strong collaboration with partners and customers while working on state-of-the-art infotainment and autonomous driving technologies, with a focus on quality and timely project delivery.

Benefits

Salary, stock and performance-related bonus

Employee stock purchase scheme

Pension scheme

Life, Medical, Income and Travel Insurance

Relocation Assistance

Enhanced Maternity Leave

Enhanced Paternity Leave

Education Assistance

Subsidised gym membership

Qualifications

• 5+ years of experience in Software Application Engineering, Software Development, or related fields.
• Experience working with embedded platforms for at least 3 years.
• 2+ years experience with high-level OS like QNX, Linux, or Android.

Responsibilities

• Support Qualcomm customers and partners in designing and debugging software.
• Optimize software to meet product requirements using Qualcomm SoC features.
• Collaborate closely with external customers to launch new products.

Skills

Embedded software development

C/C++ proficiency

Debugging skills

Machine Learning frameworks

Customer-focused mindset

Education

Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field

Master’s degree in Engineering, Information Systems, Computer Science, or related field

PhD in Engineering, Information Systems, Computer Science, or related field

Tools

OpenCV

TensorFlow

JTAG

Job description

Company:

Qualcomm Auto LTD

Job Area:

Engineering Group, Engineering Group > Software Applications Engineering

General Summary:

PLEASE NOTE THIS ROLE WILL REQUIRE 5 DAYS PER WEEK ONSITE IN OUR FARNBOROUGH OFFICE

This position is within Qualcomm’s Automotive Application Engineering Group, which works closely with automotive 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, Android, Green Hills Integrity, and QNX embedded systems. 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 automotive 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 automotive manufacturers and Tier 1 suppliers, and to see projects through to successful commercialization.

Minimum qualifications:

• Strong experience in embedded software development, integration, and debugging
• 5+ years in Software Application Engineering, Software Development, or related fields
• 3+ years of experience working with embedded platforms
• 2+ years experience with high level OS (QNX, 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:

• Experience with ML applications in Automotive Infotainment or Autonomous Driving
• 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

What's on Offer:

• Salary, stock and performance related bonus
• Employee stock purchase scheme
• Pension scheme
• Life, Medical, Income and Travel Insurance
• Relocation Assistance (If required)
• Enhanced Maternity Leave
• Enhanced Paternity Leave
• Menopause Support
• Education Assistance
• Employee Assistance Programme
• Voluntary Health Checks
• Global Wellbeing Days
• Subsidised gym membership
• Bicycle purchase scheme
• Employee run clubs, including, running, football, chess, badminton + many more

Minimum Qualifications (Education & Experience):

• Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience.
• Master’s degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience.
• PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience.
• 2+ years of experience with Programming Language such as C, C++, Java, Python, etc.
• 1+ year of experience with debugging techniques.