Customer Engineering - SW - Engineer, Sr

Company:

Qualcomm Technologies, Inc.

Engineering Group, Engineering Group >
Software Applications Engineering

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.

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

• Strong experience in embedded software development, integration, and debugging
• 15+ years in Software Application Engineering, Software Development, or related fields
• 8+ years of experience working with embedded platforms
• 6+ 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, 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
• 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

• Responsible for CV models, LLMs, VLMs, VLAs deployment in ADAS and Cockpit Edge AI platforms
• Develop end-to-end…