Cloud Solution Developer

Remote Kentucky
(View all jobs)

Function:

DS IoT

Requisition ID:

1036122

Our Company

We’re Hitachi Digital Services, a global digital solutions and transformation business with a bold vision of our world’s potential. We’re people-centric and here to power good. Every day, we future-proof urban spaces, conserve natural resources, protect rainforests, and save lives. This is a world where innovation, technology, and deep expertise come together to take our company and customers from what’s now to what’s next. We make it happen through the power of acceleration.

Imagine the sheer breadth of talent it takes to bring a better tomorrow closer to today. We don’t expect you to ‘fit’ every requirement – your life experience, character, perspective, and passion for achieving great things in the world are equally as important to us.

The Team

You will join a high-performing Industrial AI & Vision Engineering team focused on delivering automotive-grade computer vision solutions for manufacturing, quality inspection, and automation. The team builds and operates production-scale vision platforms that run in high-throughput factory environments, leveraging AWS cloud, modern full-stack architectures. Collaboration spans software engineers, ML engineers, manufacturing stakeholders, and factory systems teams to ensure reliable, real-time outcomes on the shop floor.

The Role

We are seeking a Senior Industrial Vision Edge Developer to lead the design, deployment, and optimization of real-time computer vision systems at the edge for automotive manufacturing and quality inspection. This role focuses on edge ML, embedded vision, and hybrid AWS architectures, delivering low-latency, highly reliable solutions in high-throughput production environments.

What You Bring to the Team:

Architect and develop edge-based computer vision systems for automotive inspection and automation
Optimize inference performance (latency, throughput, memory, power) on industrial edge devices
Build hybrid edge–cloud architectures using AWS for model lifecycle management and monitoring
Implement DevOps/MLOps pipelines for edge deployment, updates, and rollback
Integrate vision systems with PLCs, MES, and factory networks
Lead technical decisions and mentor engineers on edge and vision best practices.
7+ years of software engineering experience, including edge or embedded systems
Hands-on experience with edge deployment (Docker, NVIDIA Jetson, Intel, or similar platforms)
Experience with AWS hybrid/edge services and cloud integration
Strong background in CI/CD, DevOps, and production system reliability
Experience delivering systems in automotive or industrial manufacturing environments

About us

We’re a global, team of innovators. Together, we harness engineering excellence and passion to co-create meaningful solutions to complex challenges. We turn organizations into data-driven leaders that can make a positive impact on their industries and society. If you believe that innovation can bring a better tomorrow closer to today, this is the place for you.

#LI-RS2

Fostering innovation through diverse perspectives

Hitachi is a global company operating across a wide range of industries and regions. One of the things that sets Hitachi apart is the diversity of our business and people, which drives our innovation and growth.

We are committed to building an inclusive culture based on mutual respect and merit-based systems. We believe that when people feel valued, heard, and safe to express themselves, they do their best work.

How we look after you

We help take care of your today and tomorrow with industry-leading benefits, support, and services that look after your holistic health and wellbeing. We’re also champions of life balance and offer flexible arrangements that work for you (role and location dependent). We’re always looking for new ways of working that bring out our best, which leads to unexpected ideas. So here, you’ll experience a sense of belonging, and discover autonomy, freedom, and ownership as you work alongside talented people you enjoy sharing knowledge with.

We’re proud to say we’re an equal opportunity employer and welcome all applicants for employment without attention to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran, age, disability status or any other protected characteristic. Should you need reasonable accommodations during the recruitment process, please let us know so that we can do our best to set you up for success.