GPU Research Engineer

Qualcomm's GPU Research Team is seeking talented GPU architects to push the boundaries of AI, Machine Learning, and General-Purpose GPU computing. This role represents an exciting opportunity to work at the intersection of hardware and software in one of tech's most innovative companies.

As a GPU Research Engineer, you'll be at the forefront of developing cutting-edge GPU architectural features, particularly focused on machine learning and AI applications including large language models (LLM). The position offers a unique blend of hardware architecture and software development, requiring expertise in GPU architectures and various programming frameworks.

The role involves close collaboration across multiple teams - from software and hardware design to standardization bodies and customers. You'll have the opportunity to contribute to open-source ML/AI projects while working with state-of-the-art technology. The position is based in San Diego, offering competitive compensation ranging from $133,600 to $200,400, plus additional benefits including annual bonuses and RSU grants.

Qualcomm provides a comprehensive benefits package including health coverage, financial planning support, and continuous learning opportunities. The company's culture emphasizes innovation, collaboration, and professional growth through mentorship programs and tuition reimbursement.

This position is ideal for someone with a strong technical background in computer engineering or related fields, who is passionate about GPU architecture and its applications in AI/ML. You'll be joining a world-class team at Qualcomm, working on technologies that will shape the future of computing and mobile devices.

The role offers excellent career growth potential within a company known for pushing technological boundaries. You'll have the opportunity to work on projects that have real-world impact while developing your expertise in both hardware and software aspects of GPU development.