Senior Process Engineer

E Ink•Billerica, MA

35d

About The Position

E Ink Corporation is the global leader in electronic paper technology, transforming the way people access information through innovative, low-power display solutions. Our technology is used worldwide in eReaders, electronic shelf labels, digital signage, transportation displays, wearable devices, and a growing range of Internet of Things applications. By combining cutting-edge innovation with a commitment to sustainability, E Ink enables products that consume minimal power while delivering an exceptional reading and viewing experience. At E Ink, innovation, collaboration, and continuous improvement are at the core of everything we do. We foster an inclusive and supportive work environment where diverse perspectives are valued, employees are empowered to grow, and teams work together to solve complex challenges. Whether you're advancing next-generation display technology, supporting our customers, or driving business operations, you'll have the opportunity to make a meaningful impact on products used by millions of people around the world. If you're passionate about innovation and want to help shape the future of display technology, we'd love to hear from you. E Ink is seeking a Senior Process Engineer to lead the design, development, and global deployment of automated production processes to support high-volume manufacturing. This role sits at the intersection of process engineering, software automation, and data-driven workflows, translating advanced R&D concepts into robust, scalable systems used across multiple products and manufacturing sites. In this role, you will own end-to-end automation solutions that span software, hardware, and infrastructure. You will define technical architectures, process specifications, and reliability measurement workflows; collaborate closely with engineering and software teams; and drive the transition of complex experimental workflows into reliable production processes. Success in this role requires strong software engineering fundamentals, experience working in large and complex automation codebases, a data-driven and statistical mindset, and the ability to influence and execute across globally distributed teams.

Requirements

B.S. in Computer Science, Physics, Optical Engineering, Electrical Engineering, Applied Math or related degree.
Strong proficiency in Python and experience developing software-driven automation systems
Demonstrated experience designing, maintaining, and extending large, complex software automation codebases used by engineers or operators
Solid understanding of software architecture, version control, testing, and deployment best practices
Excellent communication skills with the ability to collaborate effectively across disciplines and geographies
Highly organized, self-directed, and comfortable operating in fast-paced environments with tight deadlines

Nice To Haves

3+ years of experience owning or supporting mass production processes or production automation systems
Experience working with global teams across manufacturing, R&D, software, and operations
Familiarity with Deep Learning workflows, data pipelines, or ML infrastructure in production environments
Strong background in statistical analysis, reliability metrics, and data-driven process improvement for production environments
Experience deploying and supporting systems across mixed cloud and on-premise environments
Experience with electronics hardware (oscilloscopes, power supplies, function generators, cameras, Arduinos, DAQs, or other electronics)

Responsibilities

Architect, implement, and maintain scalable automation frameworks for production processes deployed across multiple products and global manufacturing sites
Own the technical lifecycle of automated processes, from early development integration through global production deployment and long-term support
Collaborate with software, data science, and process engineers to integrate Deep Learning pipelines into production workflows, utilizing both cloud-based and on-premise compute resources
Develop process specifications and performance criteria that translate product reliability targets into scalable production controls
Design reliability measurement workflows, including data collection, analysis, and reporting methods that enable rapid identification of process drift and failure modes
Drive process improvement initiatives using statistical analysis and experimental data to achieve targeted reliability, yield, and manufacturability outcomes
Co-develop automation tools and fleet management software for production equipment, test systems, and compute infrastructure in partnership with the Software Development team
Coordinate with global stakeholders to define requirements, align priorities, and own delivery schedules for production initiatives
Lead cross-site deployment, troubleshooting, training, and continuous improvement of hardware and software systems
Contribute to the definition and development of internal tools and processes that support research, experimentation, and rapid iteration
Serve as a technical leader and mentor, helping establish best practices for software quality, reliability, and maintainability in production environments