Analog Devices
US, NC, Durham; US, MA, Wilmington; US, CA, San Jose, Rio Robles; US, MA, Boston

Systems Integration Engineer

Posted Nov 1, 2025WebsiteLinkedIn

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About this role

About Analog Devices

Come to join Analog Devices – a place where Innovation meets Impact. For the past 50 years, Analog Devices has been inventing innovative technologies that transform lives. Get hands-on experience working with the brightest minds to solve complex problems that matter from autonomous vehicles, drones and factories to augmented reality and remote healthcare. Enjoy a culture that values aligned goals, work-life balance, continuous learning throughout your career and shared rewards. At ADI, we invest in you and succeed together because we believe that happy, healthy, intellectually engaged people drive our growth and market leadership.

ADI’s Robotics Team develops leading intelligent edge solution for Industrial and Collaborative Robots, End of Arm Tools, Mobile Robots (AMR/AGV) and emerging Humanoid and Drones leveraging the huge portfolio of ADI technologies: from IC, to sub-system solutions, to artificial intelligence.

Joining Focusing on ADI’s Industrial Vision Technology Group, the Systems Integration Engineer will specify and develop innovative 3D vision solutions and contribute to the components roadmap definition to advance ADI’s depth sensing market position in consumer, automotive, and industrial markets. The Engineer will play a key role in orchestrating the alignment of hardware and software framework integrations, system and product design functions, as well as the establishment of foundational architecture for applications across one or more product offerings. This role offers a unique opportunity for candidates to expand their expertise by being exposed to diverse functions internal and external to ADI.

Qualifications

This role requires the candidate to learn new skills quickly and become familiar with a broad set of technical domains from chip-level design to computer vision algorithms. The key qualifications are listed below. Strong background in the practical & theoretical operation of vision systems or Lidar is a plus.

  • Image quality and/or optical evaluation including use of optical and electrical lab equipment.
  • Development of calibration, characterization methodologies, and infrastructure.
  • Theory and implementation of computer vision and signal processing algorithms.
  • Software development, automation for test tools and data collection, system performance modeling and data processing/analysis using C/C++ and Python.
  • Ability to write comprehensive functional requirements and test plans.

Knowledge and experience in the following areas is a plus:

  • CMOS image sensor performance evaluation and analysis
  • Depth sensing / stereo camera operation and characterization
  • Analog and digital integrated circuits
  • Amplitude modulated laser-based illumination and associated drivers and optics
  • Mechanical design, tolerance analysis, 3D CAD software such as SolidWorks
  • Thermal analysis and simulation

In addition, since it will be necessary to engage with all levels of the organization (both internal and external to ADI), the ideal candidate will need to demonstrate strong communication skills, an appetite for learning, as well as exhibit great attention to detail.

Responsibilities

  • Develop, prototype and help productize new 3D depth sensing solutions to meet customer requirements.
  • Establish requirements for and develop and deploy software and system evaluation and test stations for 3D image sensor characterization and calibration.
  • Collaborate with cross-functional teams (IC design, software, applications, etc.) to ensure seamless system integration of all components.
  • Work with manufacturing partners and customers to bring up calibration pipelines, characterization tools, and system integration of ToF cameras.
  • Analyze prototype and production data to provide guidance on engineering decisions
  • Provide written documentation of procedures, setups, and experimental results, with strong attention to detail.
  • Produce training material, application notes, and white papers to increase awareness about 3D imaging and ease customer adoption.

Education & experience

M.S. degree in Electrical Engineering, Mechanical Engineering, Optics, Physics, or B.S. degree with 0-2 years equivalent work experience.