Electric Engineer (System Engineer)

IND US is a 100% employee-owned, customer-focused government services provider with expertise in Engineering, Information Technology, Cybersecurity, Program/Financial Management, Logistics, and Data Analytics.

At IND US , we believe in the value of the IND US team.

Together we deliver exceptional customer service, foster a growth and support-centered work environment, and focus on how we can give back to the communities that we serve.

Empowering our employees starts on day one and creates an environment full of innovation and promise.

By offering mentorship and robust Training and Development opportunities, IND US continues its pursuit to be the Employer of Choice.

Reporting to the Program Manager, the Electric Engineer develops and optimizes GPU-accelerated algorithms supporting high-fidelity simulation models used in the WAF HWIL simulation environment.

The engineer supports performance optimization of models operating under strict real-time constraints.

This is a contingent position expected to be located in Newport, RI .

• Develops and optimizes algorithms executed on Graphics Processing Units (GPUs).
• Implements parallel processing techniques to support real-time simulation requirements.
• Supports development and enhancement of high-fidelity simulation models leveraging GPU acceleration.
• Integrates GPU-based algorithms into the WAF simulation architecture.
• Conducts performance testing and optimization to ensure models meet timing constraints.
• Utilizes CUDA and parallel computing frameworks in support of simulation performance improvements.
• Provides documentation and technical reports supporting GPU-based model development.
• Bid and proposal support if requested.
• Other duties as assigned.

• An active secret clearance is required to be considered for this position.
• Bachelor's degree from an accredited university is required.
• Three (3) years of experience operating CAT 3 weight-handling equipment in industrial, laboratory, or government environments preferred.