Sr AI Engineer

Renesas ElectronicsColumbia, MD
$84,000 - $105,000Onsite

About The Position

We are seeking a hands-on Senior AI Engineer to build and deploy edge AI solutions that integrate machine learning with real-world hardware systems. This role focuses on developing intelligent applications using sensor data, working across the full lifecycle from data collection and model development to deployment on embedded platforms.

Requirements

  • Bachelors (3-4 years) Master’s Electrical Engineering or related technical field, and 2-3 years career experience.
  • Practical fabrication of prototype systems that include physical, microelectronic, and sensor elements in novel combinations, including familiarity with design tools, 3D printing, and hands-on electrical and physical assembly
  • Broad familiarity with types of sensors and their placement and applications in embedded systems. Including hands-on experience with audio, electrical, accelerometers and control system signals
  • Experience working with large high-frequency sensor datasets (e.g., audio, electrical, motor control, accel, etc.), including debugging and preprocessing
  • Understanding of AI/ML algorithms with experience deploying models on MCUs
  • Proficiency in Python, MATLAB, and C, specifically including experience with real time edge computing and embedded systems.
  • Background in digital signal processing (DSP) for audio and time-series data
  • Demonstrated experience leading engineering teams and collaborating effectively across multiple cross-functional groups
  • Strong background in physical systems, cross-field exp
  • Lead junior engineers and communicate with different teams, have project management exp, open to take technical leadership across teams.

Responsibilities

  • Assemble hardware setups (e.g., physical systems, sensor arrays, embedded boards) and collect data from real-world physical environments to support AI model development and validation.
  • Develop and maintain edge AI based applications, demos and solutions combining tiny ML models in a wide variety of physical hardware settings, including consumer devices, industrial machines and automotive.
  • Collaborate with internal product and marketing teams to ingest, debug, and analyze their data for model development.
  • Work with other AI and embedded engineers to optimize and deploy AI models suitable for microcontrollers (MCUs) and embedded platforms.
  • Lead junior engineers and contribute to technical leadership across teams.
  • Stay current with emerging technologies in AI, embedded ML, and signal processing.

Benefits

  • bonus opportunities
  • commission pay
  • medical
  • health savings account (with applicable medical plan)
  • dental
  • vision
  • health and/or dependent care flexible spending accounts
  • pre-tax commuter benefits
  • life insurance
  • AD&D
  • pet insurance
  • company-paid life insurance
  • company-paid AD&D
  • LTD
  • short term medical benefits
  • paid sick time
  • paid holidays
  • accrued paid vacation
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