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.

*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.

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. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

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