System SW Architecture - ML Acceleration Lead Engineer

Welcome to the exciting world of Qualcomm, where cutting-edge technology and innovation drive our success. We are currently seeking a talented System SW Architecture - ML Acceleration Lead Engineer to join our team and help us shape the future of mobile computing. In this role, you will play a crucial role in developing and optimizing machine learning acceleration solutions for our flagship mobile platforms. We are looking for a highly motivated individual with a strong background in system software architecture and a passion for pushing the boundaries of machine learning on mobile devices. If you are a self-starter, have excellent communication and problem-solving skills, and thrive in a fast-paced, collaborative environment, we want to hear from you. Join us in shaping the next generation of mobile technology at Qualcomm.

Develop and optimize machine learning acceleration solutions for flagship mobile platforms.

Collaborate with cross-functional teams to define system software architecture requirements and design specifications.

Lead the development of machine learning acceleration technologies for mobile devices.

Conduct research and analysis to identify new opportunities for machine learning on mobile platforms.

Design, implement, and test software solutions to enhance machine learning performance on mobile devices.

Participate in code reviews and provide technical guidance to team members.

Stay up-to-date with the latest advancements in machine learning and mobile technology to drive innovation.

Communicate project progress and provide regular updates to management.

Troubleshoot and resolve any system software issues related to machine learning acceleration.

Collaborate with external partners and vendors to integrate their solutions into our mobile platforms.

Mentor and train team members to enhance their skills in system software architecture and machine learning.

Ensure compliance with industry standards and best practices for system software development.

Conduct performance analysis and optimization to improve the overall efficiency of machine learning acceleration solutions.

Act as a subject matter expert and provide technical support to other teams within the company.

Continuously identify and implement process improvements to streamline development and increase efficiency.

Qualcomm is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.