Model Deployment & Orchestration Engineer 1900S-3

Model Deployment & Orchestration Engineer                                            1900S-3

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 provides the exciting and enabling “electronic paper” display technology used by eReaders throughout the world to provide a low-power, paper-like display.

E Ink is seeking an experienced Software Engineer to build and optimize the infrastructure that accelerates the lifecycle of deep learning workflows. You will design cloud-native processes and rapid feedback loops to support high-throughput deployment, testing, and optimization of deep learning models.

In this role, you will partner with R&D teams to optimize GPU-based model execution, improve performance across cloud and on-prem environments, and develop user-friendly tools and APIs for seamless access to compute resources. You will also work closely with the Apparatus team to develop software interfaces to physical instruments, enhancing reliability and throughput of data collection.

Responsibilities:

• Architect cloud-native workflows for deep learning deployment, tuning, and monitoring
• Integrate orchestration logic with model throughput and production tracking systems
• Optimize GPU usage, scheduling, and memory layout for high-throughput model inference
• Develop and maintain APIs, GUIs, and developer tools for managing and interfacing with cloud compute resources
• Collaborate with hardware teams to improve software interfaces for data collection instruments
• Streamline data flow and compute efficiency across hybrid cloud and on-premise environments

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Applied Physics, or a related technical field
• Expert-level Python; strong C++/CUDA or hardware interfacing experience preferred
• Hands-on experience with orchestrators like Prefect, Airflow, Dagster, or Argo Workflows
• Experience with GPU profilers and optimization tools
• Familiarity with Kubernetes, Docker, GPU scheduling, and hybrid cloud architectures
• Knowledge of low-latency, high-throughput system design and debugging

Preferences:

• Experience developing digital twins or simulators of physical devices or systems
• Background in embedded systems, robotics, display technologies, or control systems

Benefits:

• Competitive total compensation package
• Medical, dental and vision on 1st day
• Company 401K match
• 20 PTO days
• Generous sick leave policy
• Casual day to day work environment
• Hybrid/flexible work environment (for some positions)

E Ink is committed to a diverse and inclusive workforce. E Ink is an equal opportunity employer and does not discriminate on the basis of race, ethnicity, gender, identity, sexual orientation, veteran’s status, disability, age, or on any basis prohibited by federal and state law.