At a Glance
- Tasks: Develop and optimise AI/ML solutions for cutting-edge automotive technologies.
- Company: Join Qualcomm, a leader in automotive innovation and technology.
- Benefits: Enjoy competitive salary, stock options, and comprehensive health benefits.
- Other info: Collaborative work environment with excellent career growth and wellness initiatives.
- Why this job: Make an impact on the future of autonomous driving and infotainment systems.
- Qualifications: Experience in embedded software development and proficiency in C/C++ and Python.
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: Apart from working in an open, relaxed and collaborative space, you will enjoy:
- 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:
- 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.
- OR 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.
- OR 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.
Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process.
Locations
Automotive- Embedded Software Applications Engineer AI/ML - Qualcomm - Farnborough, UK employer: Qualcomm
Qualcomm is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration within the automotive sector. Employees benefit from comprehensive growth opportunities, competitive compensation, and the chance to work with cutting-edge technologies in a vibrant European market. Join us to make a meaningful impact while enjoying a supportive environment that values quality and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land Automotive- Embedded Software Applications Engineer AI/ML - Qualcomm - Farnborough, UK
✨Join Local Tech Meetups
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✨Contribute to Open Source Projects
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✨Tap into Online Developer Communities
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We think you need these skills to ace Automotive- Embedded Software Applications Engineer AI/ML - Qualcomm - Farnborough, UK
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Qualcomm.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Qualcomm and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Qualcomm
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Qualcomm uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
