Machine Learning, Engineer

Qualcomm Technologies, Inc. is a technology innovator developing solutions for mobile, edge, automotive, and IoT products. The Machine Learning Engineer will design, develop, evaluate, and deploy AI and machine learning solutions, including Generative AI applications, while collaborating with engineering, product, and domain experts to address customer and business needs.

What you'll do:

• Collaborate in the design, development, and delivery of AI-powered capabilities that advance Nimbus product objectives and address customer needs
• Contribute to the development, evaluation, and deployment of AI and Generative AI solutions supporting network optimization, Digital Twin technologies, and other strategic AI-driven products
• Work closely with engineering, product, and domain experts to translate business and customer requirements into practical AI-enabled solutions
• Communicate technical concepts, project status, and recommendations effectively to both technical and non-technical audiences
• Stay current with emerging AI technologies, industry trends, and best practices, identifying opportunities to apply them across Nimbus initiatives
• Apply sound software engineering and AI development practices to ensure scalable, maintainable, and high-quality solutions

What they're looking for:

• • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
• * Working knowledge of modern AI/ML concepts, including model development, evaluation, deployment, and operationalization
• * Experience delivering AI-enabled software products or features from concept through production deployment
• * Familiarity with AI concepts, agentic AI frameworks, knowledge management systems, and other LLM-based applications
• * Strong communication, collaboration, analytical, and problem-solving skills
• * B.S. in Computer Science, Engineering, Data Science, or a related technical field
• * 1+ years of hands-on experience developing, fine-tuning, or deploying AI/ML models
• * M.S. or Ph.D. in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related discipline
• * Experience with cloud-based AI platforms, MLOps practices, data engineering, or large-scale data processing systems
• * Familiarity with telecommunications, wireless networking, Digital Twin technologies, network automation, or intelligent network-management systems
• * Experience with Generative AI, agentic systems, multi-agent frameworks, LLM applications, or AI-assisted software development
• * Demonstrated interest in emerging AI technologies and their application to real-world engineering and product challenges

Benefits:

• Competitive annual discretionary bonus program
• Opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus)