AI Solutions Software Engineer

LMI Technologies, recognized as one of Canada’s Best Workplaces, is a medium-sized technology company built on a culture of openness, respect and professional excellence.

At LMI our staff work passionately toward the common goal of designing and delivering innovative 3D machine vision solutions to OEMs and System Integrators working in industrial factory automation around the world.

The result of this teamwork is high-performance, easy-to-implement and cost-effective 3D sensor technologies that deliver the best results in even the most challenging 3D inline inspection applications.

What will you do as an AI Solutions Software Engineer?

At LMI, AI Solutions software engineers develop robust end-to-end AI-based inspection systems for factory applications.

The systems include robust sensors, edge-devices, and cloud services.

As a software engineer, you will develop and support custom inspection solutions using Gadget and GoPxL based edge platforms and the GoFactory cloud based inspection monitoring and management platform.    You will be a key part of the AI Solutions team in the Boston office and will report to the Senior Director - AI Solutions Team.  Develops last-mile software, tests, and documentation for custom inspection solutions using existing FactorySmart products :

• Gadget, GoPxL, and GoFactory.
• Interacts directly with customers to gather system requirements and deploy and troubleshoot inspection systems Prototypes new inspection systems using lab and virtual resources Creates custom scripts to integrate with customer industrial systems Provides post-sales support to customers using FactorySmart systems Develops public software, tests, and documentation for LMI public Github libraries  Develops private software, tests, and documentation for new Gadget and GoFactory features.
• Develops lab automation systems, and internal tooling and infrastructure Benchmarks and optimizes system performance on x86 and ARM embedded edge processor systems Participates in agile software development process including daily stand-up meetings, story / ticket generation, and backlog refinement activities.
• What do you need to be successful?
• Electrical Engineering and Computer Science (EECS) degree is preferred 1-3 years of related work experience Extensive knowledge of Python Familiarity with C / C++ to develop hardware interfaces Experience with Linux systems and bash scripting Familiarity with cloud platforms such as AWS, GCP, and Azure Familiarity with embedded systems such as Raspberry Pi or Nvidia Jetson Familiarity with TensorFlow, PyTorch, OpenCV and other AI / image processing technologies Experience with version control systems, build technologies, and continuous integration systems.
• Comfortable developing and debugging industrial control software using a variety of hardware and software tools Comfortable prototyping electronic control systems and visual inspection applications Familiarity with Docker, Terraform, Kubernetes or other containerization, orchestration and deployment technologies.
• Familiarity with Ethernet networking and common protocols Familiarity with web development technologies such as CSS, Javascript, HTML and React Familiarity with networking and security principles Good verbal and written communication skills Solid interpersonal skills are required to function appropriately in a team environment How to submit your interest?

If you are interested in this exciting opportunity and working for a fast-growing global technology company with an inspiring and engaging workplace environment, please submit your application to our Human Resources team in confidence by clicking the “Apply Now” button.

If you are interested in working for a fast-growing global technology company with an inspiring and engaging workplace environment, we invite you to apply and talk about the possibilities of beginning a rewarding new chapter of your career.

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