Machine Learning Compiler / Firmware Engineer
Description For Machine Learning Compiler / Firmware Engineer
Qualcomm Technologies, Inc., a global leader in wireless technology and semiconductor solutions, is seeking a Machine Learning Compiler / Firmware Engineer to join their Neural Signal Processor team. This role combines cutting-edge AI technology with systems engineering, focusing on developing and optimizing machine learning compilers and runtime firmware for Qualcomm's best-in-class accelerator.
The position offers a unique opportunity to work with advanced PyTorch-based solutions and modern C++ development, requiring expertise in both machine learning frameworks and low-level system optimization. The ideal candidate will have advanced education in Computer Science or related fields, with strong programming skills in Python and C++, and deep understanding of machine learning concepts.
Working in a hybrid environment, you'll collaborate with a geographically distributed team of experts, contributing to groundbreaking developments in AI technology. The role demands both independent work capability and strong team collaboration skills, offering the chance to impact the future of AI acceleration in one of the world's leading semiconductor companies.
Qualcomm provides a comprehensive benefits package, including competitive base salary ($127,200 - $190,800), annual bonus opportunities, RSU grants, and complete health coverage. The company's commitment to innovation, combined with its supportive work culture and professional development opportunities, makes this an ideal position for someone looking to advance their career in machine learning and firmware engineering.
Responsibilities For Machine Learning Compiler / Firmware Engineer
- Collaborate with software architects and machine learning researchers to design and implement efficient PyTorch-based solutions
- Develop and maintain the machine learning compiler, ensuring compatibility with the ATEN operator set
- Optimize code for performance, memory usage, and power efficiency
- Debug and troubleshoot issues related to the runtime firmware
- Contribute to the development of a modern C++ project which uses extensive template metaprogramming techniques
- Work independently and in a self-directed manner, while collaborating with remote team members
Requirements For Machine Learning Compiler / Firmware Engineer
- Master's degree with 3+ years of experience, or a PhD in Computer Science, Electrical Engineering, or related field
- Strong proficiency in Python and experience with PyTorch
- Solid understanding of the ATEN operator set
- Proficiency in modern C++ (C++17 or later)
- Experience with machine learning frameworks and compiler development is a plus
- Excellent problem-solving skills and ability to work in a fast-paced environment
- Strong communication skills for collaborating with remote team members
Benefits For Machine Learning Compiler / Firmware Engineer
- Competitive compensation package
- Annual discretionary bonus program
- Annual RSU grants
- Comprehensive health benefits
- Flexible hybrid work arrangements
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