Software Engineer

University of Oklahoma • Norman, OK

2d • Hybrid

About The Position

The Sooner Advanced Manufacturing Laboratory (SAML) at the University of Oklahoma, operating under the Office of the Vice President for Research and Partnerships (OVPRP), is seeking a skilled and forward-thinking Software Engineer. The role designs, develops, and deploys modular software architectures that mirror the complete physical additive manufacturing (AM) lifecycle, from build preparation and real-time process monitoring to post-processing and quality assurance.

The engineer architects scalable data pipelines to ingest high-frequency multimodal sensor feeds, including thermal, optical, and acoustic data; develops algorithms for in-situ anomaly detection; and builds interface layers for machine controllers, PLCs, and multi-axis robotics. The goal is to integrate these tools into an end-to-end digital twin platform supporting defense qualification and aerospace airworthiness certification.

Hybrid work arrangements within Oklahoma may be considered subject to approval, though hands-on laboratory integration at the Norman facility is required. The schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m., and may include some weekends. Travel may be required.

Requirements

• Bachelor's degree.
• At least 3 years of related experience.
• U.S. citizenship and ability to obtain and maintain a U.S. security clearance.
• Work at the Norman facility for hands-on laboratory integration; hybrid work within Oklahoma may be considered subject to approval.
• Schedule is Monday through Friday, 8:00 a.m. to 5:00 p.m., and may include some weekends.
• Travel may be required.

Nice To Haves

• Master's degree in Computer Science, Computer Engineering, Software Engineering, or a related engineering discipline with a strong computing emphasis.
• 1 to 5+ years of hands-on experience in software development, industrial automation, or scientific computing.
• Proficiency in high-performance programming languages such as C++ and C#, and scientific scripting environments such as Python.
• Experience designing high-throughput data pipelines, handling time-series databases (SQL or NoSQL), and using signal or image processing libraries such as OpenCV, SciPy, and NumPy.
• Familiarity with hardware-software communication protocols such as TCP/IP, Modbus, and serial, and with PLC or DAQ integration.
• Experience with computer vision, machine-learning anomaly detection, or CAD/CAM geometric data structures such as STL, STEP, and G-code.
• Experience with robotic path planning, kinematic trajectory optimization, or digital twin modeling.

Responsibilities

• Design, develop, and deploy modular software architectures that mirror the additive manufacturing lifecycle.
• Architect scalable data pipelines for high-frequency multimodal sensor feeds, including thermal, optical, and acoustic data.
• Develop algorithms for in-situ anomaly detection.
• Build interface layers for machine controllers, PLCs, and multi-axis robotics.
• Integrate software tools into an end-to-end digital twin platform supporting defense qualification and aerospace airworthiness certification.
• Perform hands-on laboratory integration at the Norman facility.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level