Electric Engineer (System Engineer)

INDUS is a 100% employee-owned government services provider delivering engineering, IT, cybersecurity, program management, logistics, and data analytics solutions to federal customers.

Our people are at the heart of everything we do! We foster a culture of teamwork, support, and growth, investing in our employees from day one through mentorship, training, and professional development. Together, we deliver exceptional service to our customers and make a meaningful impact in the communities we serve.

The Electric Engineer (System Engineer) develops and optimizes Graphics Processing Unit (GPU)-accelerated algorithms supporting high-fidelity simulation models within the WAF Hardware-in-the-Loop (HWIL) simulation environment. This role applies parallel computing techniques to improve simulation performance, integrate GPU-based models, and ensure reliable execution under strict real-time processing constraints.

This is a contingent position for anticipated future opportunities.

• 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.

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 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.

Preferred Qualifications

• At least three (3) years of experience operating Category 3 (CAT 3) weight-handling equipment in industrial, laboratory, or Government environments.

The expected base pay range for this position is $85,000 – $120,000 per year. INDUS offers a competitive compensation and benefits package, including our Employee Stock Ownership Plan (ESOP), 401(k) with employer match, and comprehensive health benefits. We also invest in employee growth through professional development funding, education reimbursement, and online learning opportunities. Employees may also be eligible for performance bonuses and other rewards.

Individual compensation is determined by job-related factors, including relevant experience, qualifications, education, certifications, and alignment with the position's requirements. INDUS also considers internal pay equity and industry benchmarks to support fair and competitive compensation.

Learn more about our culture and benefits.

INDUS is proud to be an equal opportunity employer committed to fostering a welcoming, diverse, and inclusive workplace. 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, veteran status or any other applicable legally protected status or characteristic.

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