Software Simulation Engineer (AI + Infrastructure)

• 5+ years of experience in simulation modeling or related fields

• Strong experience with discrete event simulation

• Background in infrastructure systems, operations research, or similar domains

• Experience applying AI/ML in simulation environments

• Proficiency in Python, C++, or similar languages

• Strong analytical and problem-solving skills

Salary Range: $115K-$145K

The actual salary offered is dependent on various factors including, but not limited to, location, the candidate's combination of job-related knowledge, qualifications, skills, education, training, and experience

We're ALTEN Technology USA, an engineering company helping clients bring groundbreaking ideas to life-from advancing space exploration and life-saving medical devices to building autonomous electric vehicles. With 3,000+ experts across North America, we partner with leading companies in aerospace, medical devices, robotics, automotive, commercial vehicles, EVs, rail, and more. As part of the global ALTEN Group-57,000+ engineers in 30 countries-we deliver across the entire product development cycle, from consulting to full project outsourcing. When you join ALTEN Technology USA, you'll collaborate on some of the world's toughest engineering challenges, supported by mentorship, career growth opportunities, and comprehensive benefits. We take pride in fostering a culture where employees feel valued, supported, and inspired to grow. As Software Simulation Engineer (AI + Infrastructure) you will be responsible for; We are seeking an experienced Simulation Engineer to design and scale advanced simulation systems that improve infrastructure performance and decision-making. This role focuses on building high-fidelity simulation environments, expanding simulation coverage, and leveraging AI to model complex real-world systems. + Design and develop scalable simulation frameworks (e.g., discrete event simulation) + Expand simulation capabilities to model additional real-world scenarios and systems + Integrate AI/ML techniques to improve simulation accuracy and predictive power