Description
Design and implement algorithms using minimal memory and cycles with rigid real time deadlines. Use AI/ML as a tool for improved productivity and work on system architectures that implement algorithms using AI/ML principles.
Minimum Qualifications
Minimum requirement of a bachelors degree. Understanding of design and implementation of bare metal control firmware which is highly optimized for cycles and memory. Understanding of the difference between design for a software platform and a highly constrained firmware environment. Understanding of leading feature delivery for a complete firmware/software life cycle. Understanding of architecting system level features. Fundamental facility with C and C++, compilers, build and source code control tools. Understanding of computer architecture with particular emphasis on the HW/SW interfaces of high-speed communication subsystems. Some mainstream OS application-level development and Python or Perl scripting experience. Foundational knowledge in Machine Learning and Deep Learning: ML algorithms and deep learning architectures (e.g., CNNs, RNNs, Transformers). Using generative AI as a tool for design and implementation.
Preferred Qualifications
Theoretical understanding of the implementation of AI/ML Algorithms: Knowledge of the mathematical foundations of various AI/ML algorithms and how to apply to parameter estimation algorithms. Understanding of HW architectures and programming models for how to target algorithms to AIML acceleration HW. Understanding of design for asymmetric multiprocessing solutions. Understanding of 5G and 4G 3GPP protocols. Some familiarity with wireless communications. Understanding of silicon prototyping, emulation systems, and virtual platforms. Understanding of memory constrained Real Time Operating Systems (RTOS) and concurrent programming.
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