Computing Engineer/Software Developer –AI/ML, GUI Development, Custom Cobot Control

About the role

Custom Manufacturing & Engineering, Inc. (CME) is looking for a Software Engineer to develop custom collaborative robot (cobot) control integrations, artificial intelligence/machine learning (AI/ML) applications, and related GUIs for advanced manufacturing and inspection environments. You'll work with cobots (UR eSeries and others), simulation platforms (NVIDIA Isaac Sim, Gazebo/ROS2), and cutting-edge AI/ML tools to create scalable solutions that improve manufacturing automation and product quality.

Custom Manufacturing & Engineering, Inc. (CME®) is a 30-year-old award-winning Tampa Bay small business that designs and manufactures custom-engineered and build-to-print/spec products and systems. Our products are used by the U.S. military and industries worldwide. CME also supports STEM education and sustainability initiatives.

Responsibilities

• Internally develop and/or support iterative enhancements to new in-house software applications/tools for business and technical operations.
• Full-stack development duties for an AI and machine learning role, deploying, scaling, and integrating machine learning models into user-facing applications.
• Develop and deploy ML models (e.g., LLMs, CNNs, GANs, ResNets) for deep learning in support of computer vision, inspection data, and ERP/operations use cases and improvements; or for engineering development/R&D in field of robotics and unmanned systems/drones.
• System Integration: Design, develop, and maintain robust API interfaces connecting internal AI/ML platforms with external enterprise software (e.g., ERP systems and security platforms like Microsoft Defender for Endpoint API, CrowdStrike Falcon API, or other API developer needs/opportunities).
• Data Pipeline Automation: Build scalable pipelines to ingest, transform, and sync data between ML models and third-party enterprise APIs.
• Design and implement cobot applications, multi-cobot workstations, and simulation environments.
• Build scalable GUIs and reusable software components for data pipelines and manufacturing dashboards.
• Analyze and optimize code for performance, reliability, and maintainability.
• Collaborate across engineering, manufacturing, and management teams to deliver end-to-end solutions.
• Support or lead small team technical proposals and provide guidance to peers on advanced automation and ML projects.

Requirements

Education: Bachelor's in Computer Science, Computer/Software Engineering, Data Science, or related field.

Eligibility Notice: This position requires access to technology subject to ITAR/EAR. Candidates must meet "U.S. Person" requirements.

Qualifications

Experience: 1–4 years programming in environments such as the following: