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Senior Display Engineer

Job in Billerica, Middlesex County, Massachusetts, 01821, USA
Listing for: E Ink
Full Time position
Listed on 2025-12-05
Job specializations:
  • Engineering
    Systems Engineer, Software Engineer
Job Description & How to Apply Below
Position: Senior Display Engineer 1900S-5

Team up with the most innovative company where Imagination becomes reality! E Ink is the originator, pioneer, and commercial leader in ePaper technology. The Billerica Research & Development team is thriving and growing as we help develop products that are changing how people access information every day. We are seeking qualified candidates who are self-driven, looking to advance their career and become a high-impact player on a team.

Based on technology from MIT’s Media Lab, E Ink has transformed and defined the eReader market. Its Electrophoretic Display products make it the worldwide leader for ePaper. The Company’s corporate philosophy aims to deliver revolutionary products, user experiences and environmental benefits through advanced technology development.

Our diversity of people, backgrounds, experiences, thoughts and perspectives is fostered to create an inclusive work environment. Our culture is built on value commitments to innovation, quality, results, integrity, community, people, and collaboration that fosters a strong employee engagement, teamwork, safety and wellness.

We offer a competitive/generous benefits package that fits the needs of our employees. It includes health, dental, vision, wellness programs, employee discounts, 401k matches, ongoing development, advancement opportunities and more. This position is also eligible for our bonus program. (see E Ink │ Our Company)

About the position:

E Ink is seeking a creative hands‑on scientist or engineer to design complex control schemes for cutting‑edge display products. The role requires experience with control systems, deep learning, and programming, with an ability to contextualize the impact of a low‑level control scheme to display integration and end use by individual consumers.

In this position, you will design and qualify deep learning‑based control schemes from a very early stage, develop and support them until in mass production as a part of a global team. You will design, investigate, and provide initial demos of products driven by your control schemes to demonstrate the viability of material exiting research and entering development. You will collaborate with a multidisciplinary team doing fundamental research in colloid science to improve and maintain the performance of the material as the product transitions into mass production.

Finally, you will help deploy the methods you develop to a global team to run them as a part of mass production of new, exciting, and vibrantly colorful displays.

You’ll also join a thriving community of researchers and engineers advancing control schemes across E Ink’s product lines, while pushing the boundaries of how deep learning can be applied at E Ink.

Key responsibilities:
  • Develop advanced control schemes using deep learning and nonlinear optimization for electrophoretic displays
  • Create, refine, and deploy scalable software workflows for control design and integration by a large global team
  • Conduct experiments with prototype displays, electronics, and optical measurement equipment
  • Design and implement realistic use‑case testing, including demos for customers and quantitative evaluation of prototype performance
  • Translate customer feedback into actionable insights for control algorithms and prototype improvements
  • Differentiate between physical hardware limitations and control scheme performance issues through simplified, quantitative tests
  • Clearly communicate findings and recommendations to a global, multidisciplinary team
Qualifications:
  • B.S. or M.S. with 2 years of industry experience or Ph.D.
  • Relevant fields of study include Electrical Engineering, Computer Engineering, Mechanical Engineering, Applied Physics, Applied Mathematics, or a related field
  • Strong programming skills, with demonstrated experience developing large‑scale software used by others
  • More than 1 year of experience solving challenging nonlinear optimization problems
  • More than 1 year of experience with model‑based control or design of a real‑world system. It is ideal if the model were deep learning‑based but it is not mandatory.
  • More than 1 year of experience with electronics hardware (oscilloscopes, power supplies, function…
Position Requirements
10+ Years work experience
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