IT Software Developer | Staff

Qualcomm, a global leader in semiconductor technology, is seeking a highly skilled and experienced Software Developer with expertise in Data Science and Machine Learning domains. This critical role represents a strategic mix of transformation into GenAI, Machine Learning domains, and technical expertise of building Analytics and Metrics of several applications that are in use in Qualcomm. As a Qualcomm IT Software Engineer, you will be at the forefront of delivering end-to-end analytics solutions, collaborating with cross-functional teams to address their business needs.

Principal Duties and Responsibilities:

• Develop and implement data pipelines, ensuring seamless integrations.
• Collaborate with data scientists and business stakeholders to understand data needs and develop solutions.
• Leverage existing data warehouses, data lakes and ETL Tools to develop custom needs of Analytics and Metrics.
• Stay abreast of industry trends, emerging technologies, and best practices in data management.
• Utilize advanced data science techniques (e.g., Machine learning based predictive analytics, forecasting)
• Bring expertise with a broad range of data management technologies and platforms (e.g., SQL/NoSQL databases, cloud-based data solutions like AWS, GCP, Azure)
• Strong analytical and problem-solving skills, with the ability to translate complex engineering needs into actionable architectural solutions.
• Exceptional communication, presentation, and interpersonal skills, with the ability to articulate technical concepts to both engineering and non-technical executive-level stakeholders.

Minimum Qualifications:

• 5+ years of IT-relevant work experience with Bachelor's degree in a technical field (e.g., Computer Engineering, Computer Science, Information Systems) OR 7+ years of IT-relevant work experience without a Bachelor's degree.
• 4+ years of work experience with Full-stack Application Development (e.g., Java, Python, JavaScript, etc.).
• 3+ years of work experience with Data Structures, algorithms, and data stores.

Preferred Qualifications:

• Master's degree in computer science, Information Technology, Data Science, or a related field.
• Certifications or advanced training in data architecture, data engineering, or related fields.
• Experience with machine learning models and AI-driven analytics.
• Certifications in Machine learning, Data Engineering.

Qualcomm offers a competitive annual discretionary bonus program and opportunity for annual RSU grants. The highly competitive benefits package is designed to support your success at work, at home, and at play.