Fire Control Optimization (AI) Engineer Senior at Modern Technology Solutions Inc

Huntsville, Alabama, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

0.0

Posted On

11 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Algorithms, Modeling and Simulation, Predictive Analytics, Real-Time Systems, Software Engineering, Sensor Integration, Algorithm Testing, Data Analysis, TensorFlow, PyTorch, Python, C++, Java, MATLAB, Simulink, Adversarial AI

Industry

Space Research and Technology

Description

Design, develop, and implement AI/ML algorithms to optimize fire control solutions for advanced space systems and targeting operations. Perform modeling and simulation of fire control scenarios to validate the accuracy, responsiveness, and adaptability of AI-based solutions. Develop predictive analytics tools to enhance targeting, tracking, and mission planning for Warfighter operations. Integrate AI/ML methodologies into fire control systems to improve sensor-to-shooter timelines in complex mission environments. Collaborate with software and systems engineering teams to implement real-time AI-driven decision-making capabilities. Support algorithm testing, verification, and validation, ensuring alignment with operational requirements and government regulations. Analyze operational data to refine algorithms, enhance performance, and develop strategies for system resilience against adversarial threats. Explore and implement emergent AI/ML technologies into fire control and targeting systems to maintain cutting-edge mission capabilities. Provide technical expertise to government customers and stakeholders during design reviews, performance evaluations, and demonstrations. Document technical results, develop reports, and present findings to leadership, end users, and program management. Bachelor's degree in Computer Science, Artificial Intelligence, Aerospace Engineering, Systems Engineering, or other relevant technical disciplines (Master's degree preferred). Minimum of 10 years of experience developing, implementing, and optimizing AI/ML algorithms for complex systems, preferably in fire control or defense applications. Proven track record of supporting space systems or targeting solutions within the Department of Defense (DoD) or the Intelligence Community (IC). Experience working with real-time systems integration and decision-making frameworks in dynamic operational environments. Expertise in artificial intelligence and machine learning frameworks, including TensorFlow, PyTorch, or equivalent. Strong programming skills (e.g., Python, C++, Java) with a focus on algorithm development and optimization. Knowledge of fire control systems, targeting solutions, sensor integration, and mission optimization strategies. Familiarity with modeling and simulation tools (e.g., MATLAB, Simulink, STK). Master's degree or higher in Artificial Intelligence, Data Science, Aerospace Engineering, or related disciplines. Certifications in AI/ML or data science (e.g., AWS Machine Learning Specialty, Google AI Engineer certification). Experience with advanced optimization techniques, reinforcement learning, or neural network architectures in mission-critical applications. Familiarity with space domain awareness, orbital mechanics, or satellite mission planning tools. Knowledge of adversarial AI and strategies for mitigating disruption to optimization algorithms.

Responsibilities

Design and implement AI/ML algorithms for fire control solutions and perform modeling and simulation to validate these solutions. Collaborate with engineering teams to enhance decision-making capabilities and support algorithm testing and validation.