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
BS and a minimum of 10 years relevant industry experience. Experience with design and implementation of bare metal control firmware which is highly optimized for cycles and memory. Deep understanding of the difference between design for a software platform and a highly constrained firmware environment. Experience leading feature delivery for a complete firmware/software life cycle. Experience architecting system level features. Fundamental facility with C and C++, compilers, build and source code control tools. Solid 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. Strong foundation in Machine Learning and Deep Learning: Experience with ML algorithms and deep learning architectures (e.g., CNNs, RNNs, Transformers). Experience using generative AI as a tool for design and implementation.
Preferred Qualifications
Theoretical understanding of the implementation of AI/ML Algorithms: In-depth 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. Experience with silicon prototyping, emulation systems, and virtual platforms. Significant experience with memory constrained Real Time Operating Systems (RTOS) and concurrent programming.
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