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

Custom Manufacturing & Engineering builds advanced automation solutions for manufacturing and inspection environments, and this role helps turn those needs into working software. You will support a 4-day work week (most weeks) while developing custom collaborative robot (cobot) control integrations, AI/ML applications, and the GUIs that operators and technical teams rely on.

What you’ll work on

• Develop and/or support iterative enhancements to new in-house software applications and tools used for business and technical operations.
• Own full-stack AI and machine learning development, including deploying, scaling, and integrating machine learning models into user-facing applications.
• Design and deploy ML models for deep learning in support of computer vision, inspection data, and ERP/operations use cases, including opportunities related to robotics and unmanned systems/drones.
• Create and maintain robust API interfaces that connect internal AI/ML platforms with external enterprise software and security API needs, including Microsoft Defender for Endpoint API and CrowdStrike Falcon API.
• Build scalable data 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.
• Develop 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 guide peers on advanced automation and ML projects.

What you bring

• Bachelor’s degree in Computer Science, Computer/Software Engineering, Data Science, or a related field.
• 1–4 years of programming experience with core languages including Python (Advanced), C++, R, and Java.
• ML/AI frameworks and libraries: PyTorch, TensorFlow, Scikit-learn, and Hugging Face Transformers.
• Data processing and databases including Pandas, NumPy, Apache Spark, SQL, and PostgreSQL.
• MLOps and deployment experience with Docker, Kubernetes, MLflow, AWS (SageMaker), and GCP (Vertex AI).
• Version control and collaboration tools: Git, GitHub, GitLab, and 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.

Compensation and logistics

$68,000 - $78,000 per year. Onsite role in Pinellas Park, FL.

Eligibility

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