Staff Machine Learning Compiler Engineer

Qualcomm Technologies, Inc. is seeking a Staff Machine Learning Compiler Engineer to join their innovative AI Hub team. This is an exciting opportunity to work at the forefront of machine learning and compiler technology.

The role involves creating state-of-the-art machine learning development tools and software libraries, with a focus on building and optimizing compiler toolchains for ML models. You'll be working on cutting-edge computer vision, speech, and machine learning applications, while designing user-facing APIs and software packages that enable seamless interaction with our software stack.

As a Staff Engineer, you'll be expected to work independently with minimal supervision and provide guidance to other team members. The position requires strong technical expertise in compiler development, machine learning, and software engineering, combined with excellent communication skills to convey complex information and influence key organizational decisions.

Key responsibilities include developing ML compilers, improving optimization capabilities through benchmark analysis, innovating new compiler algorithms, and contributing to open-source projects. You'll also have opportunities to author research publications and represent the company at conferences and industry forums.

The compensation package is highly competitive, ranging from $160,500 to $240,700, complemented by annual bonuses, RSU grants, and comprehensive benefits. Qualcomm offers extensive professional development opportunities, including continuous learning programs, tuition reimbursement, and mentorship.

This role is perfect for someone who is passionate about machine learning, compiler technology, and high-performance computing, with a desire to make significant contributions to the field while working with industry-leading experts. Join Qualcomm's AI Hub team and be part of shaping the future of machine learning technology.