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Machine Learning Compiler / Firmware Engineer – DSP Architecture and Design
| Company | Qualcomm |
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| Location | Austin, TX, USA |
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| Salary | $211200 – $316800 |
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| Type | Full-Time |
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| Degrees | Master’s, PhD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- Master’s degree with 15 or more years of experience, or a PhD in Computer Science, Electrical Engineering, or a related field
- Proficiency in modern C++ (C++17 or later) and Python
- Understanding of low-level embedded software, such as the Zephyr RTOS
- Excellent problem-solving skills and ability to work in a fast-paced environment
- Strong communication skills for collaborating with remote team members
Responsibilities
- Optimize code for performance, memory usage, and power efficiency
- Port open source operating systems, such as Zephyr, to the Hexagon architecture, to enable efficient execution of the machine learning firmware
- 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 also collaborating effectively with remote team members
Preferred Qualifications
- Experience with machine learning frameworks and compiler development is a plus
