Staff AI Software Engineer

Qualcomm•Santa Clara, CA

76d

About The Position

We are seeking a highly skilled and experienced Staff Software Engineer with 5-10+ years of expertise in AI/ML to join our dynamic team. The ideal candidate will have a strong background in model development, including Convolutional Neural Networks (CNN), experience in quantization and model debugging .

Requirements

Minimum 5+ years of experience in AI/ML model development and deployment.
Proficiency in CNNs, quantization, and model debugging.
Experience with DDR and CPU profiling.
Strong understanding of ML models and AI applications on edge devices.
Knowledge of wireless LAN and networking technologies is desirable.
Experience with cloud technologies is desirable.
Excellent problem-solving skills and the ability to work in a fast-paced environment.
Strong communication and teamwork skills.
Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

Nice To Haves

8+ years of experience with popular AI/ML frameworks such as TensorFlow, PyTorch, etc.
Familiarity with edge computing platforms and tools.
Knowledge of cloud platforms like AWS, Azure, or Google Cloud.

Responsibilities

Develop and optimize AI/ML models to work on edge device.
Perform model quantization and debugging to ensure high performance and efficiency.
Conduct CPU profiling and manage DDR to optimize system performance.
Implement and deploy ML models and AI applications on edge devices.
Develop AI applications and agentic apps on LLM and multi-modal models.
Collaborate with cross-functional teams to integrate AI solutions into wireless and networking systems.
Utilize cloud technologies to enhance AI/ML model deployment and scalability.

Benefits

We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play.

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