AI Engineer / Senior AI Engineer for Edge AI Deployment & Optimization

General summary

We are looking for an AI Engineer with demonstrable knowledge and hands-on experience in AI model onboarding, small-model training/fine-tuning, compression, and deployment for Mobile, Robotics, Automotive, and IoT products. This role focuses on bringing efficient AI models onto Qualcomm chipset platforms and optimizing accuracy, latency, memory, and power across Android/Linux-based edge systems.

Job overview

We are looking for an AI Engineer with demonstrable knowledge and hands-on experience in AI model onboarding, small-model training/fine-tuning, compression, and deployment for Mobile, Robotics, Automotive, and IoT products. This role focuses on bringing efficient AI models onto Qualcomm chipset platforms and optimizing accuracy, latency, memory, and power across Android/Linux-based edge systems.

Minimum qualifications

• Bachelor’s degree in engineering, Information Systems, Computer Science, Electrical Engineering, or related fields.
• 2+ years of Software Engineering, Machine Learning Engineering, or related work experience.
• 2+ years of experience with Programming Languages such as Python and C/C++.
• Hands-on experience with deep learning frameworks such as PyTorch and/or ONNX.
• Hands-on experience in model optimization techniques such as quantization, QAT/PTQ, pruning, distillation, or small-model tuning.
• Experience deploying or profiling AI models on embedded, mobile, or edge platforms.
• Basic understanding of Linux or Android embedded systems, software debugging, and source control workflows.

These minimums match the common baseline in current Qualcomm edge-AI roles.

Preferred qualifications

• Experience with Qualcomm AI Stack technologies such as QNN, AIMET, AI Hub, SNPE, or related toolchains.
• Experience optimizing inference across Qualcomm hardware acceleration cores such as Hexagon DSP, Adreno GPU, CPU, and NPU.
• Understanding of performance, memory, thermal, and power tradeoffs for on-device AI.
• Experience with Android SDK/NDK, JNI, AIDL/IPC, or Android application/framework integration.
• Experience with Mobile, Automotive ADAS/Cockpit, Robotics, or IoT AI use cases.
• Knowledge of ARM-based system architecture and embedded software development.
• Experience collaborating with global teams, customers, or cross-functional engineering groups.

These preferences reflect current demand for Qualcomm-platform optimization, Android integration, and edge deployment depth.

Education requirements

• Required: Bachelor’s degree in engineering, Information Systems, Computer Science, Electrical Engineering, or related field.
• Preferred: Master’s degree in computer science, Computer Engineering, Electrical Engineering, Artificial Intelligence, or related field.

Hardware minimum qualifications

• Bachelor's degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 2+ years of Hardware Engineering or related work experience.
• OR Master’s degree in Computer Science, Electrical/Electronics Engineering, Engineering, or related field and 1+ year of Hardware Engineering or related work experience.
• OR PhD in Computer Science, Electrical/Electronics Engineering, Engineering, or related field.

Applicants

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 [email protected] 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.