Job
Description
General Summary: Qualcomm is enabling a world where everyone and everything can be intelligently connected. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. Youll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day. Qualcomm engineering teams rely heavily on the latest High Performance Computing (HPC) technologies to design and develop new products using electronic design automation (EDA) tools. This role offers an exciting opportunity to manage and deliver a portfolio of distributed software solutions and services for core engineering teams. You will gain experience leading a portfolio of critical projects while building scalable and fault-tolerant software solutions that are deployed on some of the largest supercomputing infrastructures across the globe. Minimum Qualifications: 7+ years of IT-related work experience with a Bachelor's degree. OR 9+ years of IT-related work experience without a Bachelors degree. 4+ years in a leadership role in projects/programs. What are we looking for? Engineering Data Analytics & Applications (EDAAP) team is looking for an experienced software development manager preferably with exposure to HPC technologies. The team handles development of software and analytics solutions enabling High Performance Compute grid and large-scale, distributed applications. They work on components and services for HPC infrastructure optimization, hardware IP management systems, petabyte-scale cloud data platforms, development of machine learning solutions, data pipelines, and operational insights. This role will lead a team of about 30 software developers and data engineers working on a portfolio of software products and analytics being developed by the team. The ideal candidate would be a seasoned Software Development Manager experienced in engaging with business and technical stakeholders, understanding complex problem statements, and proposing value-driven software and analytics solutions. What will you do? This roles responsibilities include: Lead and manage a team of software developers, data engineers and project manager, providing mentorship and guidance to foster professional growth. Provide technical expertise across a portfolio of software development and analytics projects, creating designs and performing code reviews. Identify opportunities and deliver solutions for EDA workflow optimizations. Set and manage team priorities in line with organizational goals and objectives, working closely with diverse set of stakeholders in Engineering & Infrastructure Services. Oversee the entire software development lifecycle, from planning and design to implementation, testing, and deployment for a portfolio of products and services developed by the team. Collaborate with global teams to define project requirements, scope, and deliverables. Ensure the delivery of high-quality software solutions and analytics that meet business objectives and customer needs. Implement best practices for software development, including coding standards, code reviews, and automated testing. Manage project timelines and resources to ensure successful project completion. Stay updated with the latest industry trends and technologies to drive continuous improvement and innovation. Build a culture of collaboration, accountability, and continuous learning within the team. What do we want to see? The ideal candidate will be able to demonstrate some of the following skills: 14+ years of hands-on experience in large-scale distributed software engineering and analytics, with at least 4 years in a leadership role Strong proficiency in programming languages such as Java, C++, Python, Rust or similar. Expertise in software lifecycle management, version control, and CI/CD best practices for quality, agility and security, data engineering and analytics Proven ability to manage multiple projects and conflicting priorities. Experience with public cloud environments such as AWS, Azure or Google Cloud Experience with microservices architecture and containerization Familiarity with EDA and semiconductor design process Ability to explain technical concepts and analysis implications in a clear manner to a wide audience. Exposure to HPC technologies is a plus. Bachelors or Masters in Computer Science or related field
