Embedded Software Applications Engineer – AI/ML

Responsibilities

• Provide direct support to Qualcomm customers and partners in designing, developing, and debugging software issues related to Qualcomm reference designs
• Customize and optimize software to meet product requirements using Qualcomm SoC features
• Perform feature prototyping, integration, and performance optimization
• Collaborate closely with external customers to customize and launch new products
• Conduct deep technical analysis and system-level debugging

Requirements

• 8+ years of experience working with embedded platforms
• 4+ years of experience in AI/ML related software
• 4+ years of experience with high-level OS (Linux or Android)
• Proficiency in C/C++ and Python
• Hands-on knowledge of CV/DL frameworks (OpenCV, OpenCL, PyTorch, TensorFlow, Caffe/Caffe2)
• Experience with supervised and unsupervised ML, including CV, NLP, and LLM-based systems
• Understanding of neural network operators, linear algebra, and quantization
• Experience optimizing neural networks for embedded systems (latency, throughput, power)
• Bachelor's degree in Engineering, Computer Science, or related field with 6+ years of experience (or Master's with 5+ years, or PhD with 4+ years)

Preferred Qualifications

• Experience with ML applications in IE-IOT (drones, robotics, smart audio/video)
• 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

About the Company

Qualcomm is a global leader in wireless technology, developing products that power the world's most advanced connected devices.