- Contribute to the development of machine learning libraries, intermediate representations, export formats, and analysis tools
- Profile models to analyze performance and power efficiency of deep learning inference workloads
- Implement ML operators using low-level instructions & compiler intrinsics
- Design and implement embedded systems to facilitate control on data collection pipelines
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Experience using C/C++ for software development
- Hands-on experience in using version control systems (Git, Mercurial)
- Experience communicating with fellow engineers to understand project scope
- Experience in approaching engineering problems systematically and independently
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Master's or PhD degree in fields related to Computer Science and Engineering
- Hands-on experience on development for embedded systems, e.g. on Cortex M-series controllers or DSPs
- Experience developing AI-System infrastructure or AI algorithms in C/C++
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