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JOB DETAILS

Sr. Staff Embedded Applications Engineer, Edge AI Lab

CompanyRenesas Electronics
LocationColumbia
Work ModeOn Site
PostedSeptember 3, 2026
About The Company
Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 21,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’
About the Role

Job Description

100% onsite - Columbia, MD

We are seeking a highly skilled and hands-on Senior Staff AI Engineer to head our Edge AI Applications Lab.  The role includes leadership of R&D, PoC and AI product demo projects involving physical hardware builds associated with microcontroller deployment of tiny AI models.  It includes management and scheduling of the associated physical lab space and equipment in support of these projects, as well as cross-BU and customer support efforts that may require physical lab implementations.   The ideal candidate will bring significant skills in small scale PoC fabrication, coupled with understanding of a range of AI algorithms and their practical applications to real-world sensor data microcontroller.  Individual should have demonstrated project and small-team people and technical leadership experience, and bring a creative, hands-on disposition.   

Key Responsibilities:

  • Lead Edge AI Applications Lab, including management of project, people,  facilities and scheduling.

  • 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 customers and internal product 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.
  • Manage a variety of projects both technically and logistically in an industrial laboratory setting, including planning, part procurement, instrumentation, hardware setup and creating ML models.

  • Fabricate and assemble hardware setups (e.g., physical systems, sensor arrays, embedded boards) and collect data from real-world physical environments to support model development and validation.

  • Mentor junior engineers and contribute to technical leadership across teams.
  • Stay current with emerging technologies in AI, embedded ML, and signal processing.

Qualifications

  • Master’s or PhD in Electrical Engineering or related technical field, and 7-12 years career experience..

  • Understanding of AI/ML algorithms with experience deploying models on MCUs
  • 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.

  • Demonstrated experience leading engineering teams and collaborating effectively across multiple cross-functional groups
  • Broad familiarity with types of sensors and their placement and applications in practical 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, preprocessing and ML Ops. 

  • 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 preferred.

Additional Information

The expected annual pay range for this position is $139,500 - $185,000. This position is also eligible for   bonus opportunities and commission pay.  Please note that the final offer amount will be dependent on geographic location, applicable experience, and skillset of the candidate. 

Renesas offers a full range of elective benefits including 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, and pet insurance. In addition to elective benefit options, benefited employees receive company-paid life insurance and AD&D, LTD, short term medical benefits as well as paid sick time, paid holidays, and accrued paid vacation. New employees will attend a detailed benefit orientation to learn more about our many benefits and resources 

Renesas is an embedded semiconductor solution provider driven by its Purpose, To Make Our Lives Easier. With a global team of over 21,000 engineers and problem solvers in more than 30 countries, we offer the opportunity to work on world‑leading technology for Automotive, Industrial, Infrastructure, and IoT, shaping a safer, healthier, greener, and smarter future.

At Renesas, TAGIE is our culture, grounded in being Transparent, Agile, Global, Innovative, and Entrepreneurial. It shapes how we work, grow and deliver on our purpose together. This collaborative spirit and mindset drive our semiconductor technology to transform industries and impact millions of lives.

We believe in rewarding our employees with a competitive benefits package alongside their salary. More information will be provided during the hiring process.

Are you ready to join our team and shape the future with us?

Renesas Electronics is an equal opportunity and affirmative action employer, committed to supporting diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by law. For more information, please read our Diversity & Inclusion Statement.

Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.

  • Employment Type: Regular (PERM)
  • Remote Work Available: No
  • Key Skills
    Edge AIEmbedded systemsMicrocontrollersTinyMLPythonMATLABCDigital signal processingHardware fabricationSensor integrationProject leadershipMachine learningData analysisPrototypingML Ops
    Categories
    TechnologyEngineeringManagement & LeadershipSoftwareData & Analytics
    Benefits
    Medical insuranceHealth savings accountDental insuranceVision insuranceFlexible spending accountsPre-tax commuter benefitsLife insuranceAD&D insurancePet insuranceLong term disabilityShort term medical benefitsPaid sick timePaid holidaysPaid vacation
    Job Information
    📋Core Responsibilities
    Lead the Edge AI Applications Lab by managing projects, facilities, and a team of engineers to develop and deploy tiny ML models on embedded hardware. Collaborate with internal teams and customers to ingest data, optimize AI models, and fabricate physical prototype systems for various industrial and consumer applications.
    📋Job Type
    full time
    💰Salary Range
    $139,500 - $185,000
    📊Experience Level
    10+
    💼Company Size
    12247
    📊Visa Sponsorship
    No
    💼Language
    English
    🏢Working Hours
    40 hours
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