The Team and the Role
INDUS 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 INDUS, we believe in the value of the INDUS 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, INDUS 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.
What You'll Do
- 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.
What We're Looking For
Required Qualifications:
- 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.
- Three (3) years of experience working with high-fidelity models where the primary computational algorithm is executed on GPUs.
- Five (5) years of experience developing or optimizing GPU-accelerated algorithms.
- Experience with CUDA programming and parallel processing environments.
- Experience supporting real-time simulation systems.
- Must possess basic computer literacy and data entry skills.
- Demonstrated proficiency in Microsoft Office applications (to include MS Word, Excel, PowerPoint, etc.).
- Strong attention to detail and organizational skills.
- Excellent verbal and written communication skills.
- Demonstrated problem-solving skills.
- Must possess strong time management skills.
- Must be able to work in a fast-paced, changing, and challenging environment.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Physical Requirements:
- Must be able to remain seated in a stationary position 50% of the time. Must also be able to alternate between sitting, standing, and walking.
INDUS is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, ancestry, physical or mental disability, medical condition, marital status, genetics, age, or veteran status or any other applicable legally protected status or characteristic.
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