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

Custom Manufacturing & Engineering; Town of Florida (NY); On-site; USD 68,000 - 78,000; Full time

Benefits offered by this job

4-day work week

5 Core Values

Job summary

Custom Manufacturing & Engineering, Inc. (CME) seeks a Computing Engineer/Software Developer to build cobot control integrations, AI/ML apps, and GUI tools for advanced manufacturing and inspection.

You will work with UR cobots, simulators, and cutting-edge AI/ML tools to drive automation and product quality.

Qualifications

• Bachelor's degree in Computer Science, Computer/Software Engineering, Data Science, or related field.
• 1–4 years programming experience in Python, C++, R, or Java.
• Experience with ML/AI frameworks: PyTorch, TensorFlow, Scikit-learn, Transformers.
• Familiarity with APIs, data processing (Pandas/NumPy), and ML deployment tools (Docker/Kubernetes).
• Strong API design, testing practices, and data science familiarity.

Responsibilities

• Develop and support in-house software for cobot control and AI/ML applications.
• Full-stack duties for AI/ML, deploying models into user-facing apps.
• Design and deploy ML models for computer vision and robotics use cases.
• Build robust API interfaces connecting AI platforms with ERP and other systems.
• Create scalable data pipelines and GUI dashboards for manufacturing.

Skills

Python

C++

R

Java

APIs

Education

Bachelor's in Computer Science or related

Tools

Docker

Kubernetes

MLflow

SageMaker

Vertex AI

GitHub

GitLab

Jira

Apache Spark

Pandas

NumPy

Job description

Computing Engineer/Software Developer –AI/ML, GUI Development, Custom Cobot Control - Pinellas Park, FL, USA

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.

What You'll Do

• 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.

What You Bring

• Education: Bachelor's in Computer Science, Computer/Software Engineering, Data Science, or related field.
• Experience: 1–4 years programming in environments such as the following:
  • Core Programming Languages: Python (Advanced), C++, R, Java.
  • ML/AI Frameworks & Libraries: PyTorch, TensorFlow, Scikit-learn, Hugging Face Transformers.
  • Data Processing & Databases: Pandas, NumPy, Apache Spark, SQL, PostgreSQL.
  • MLOps & Deployment: Docker, Kubernetes, MLflow, AWS (SageMaker), GCP (Vertex AI).
  • Version Control & Collaboration: Git, GitHub, GitLab, Jira.
• Strong background in scalable software design, API development, and testing practices.
• Familiarity with data science.
• Bonus: Experience with recommendation systems, pattern recognition, or large-scale software architectures.

Why CME?

• Work on mission-critical projects across defense, aerospace, industrial, and energy markets.
• Join a collaborative, fast-moving engineering team where your impact is visible.
• Enjoy a 4-day work week (most weeks) and a culture guided by CME's 5 Core Values: Resolves Problems, Professionalism, Challenges Themselves, Delivers, and Serves the Customer – Protects CME.

Eligibility Notice

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

About CME

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.

Equal Opportunity Employment

CME is an Equal Opportunity Employer. We consider all applicants without regard to race, color, religion, sex (including pregnancy, sexual orientation, and gender identity), national origin, age, disability, genetic information, marital status, veteran status, citizenship, or any other protected class under federal or Florida law.

Salary: $68000 - $78000 per year