Embedded Firmware Engineer

As an Embedded Firmware Engineer passionate about real time critical control on this team, you will be at the center of the embedded 5G/4G/multimode cellular firmware effort within a silicon design group responsible for crafting and productizing powerful cellular SoCs. This position requires someone comfortable with all aspects of embedded firm development, that thrives in a multifaceted multi-functional organization, is not afraid to debate ideas openly, and is flexible enough to shift on constantly evolving requirements.

Responsibilities

• 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.

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) -AND- using generative AI as a tool for design and implementation.
• 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 -AND- 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.