Software Simulation Engineer (AI + Infrastructure)

ALTEN Technology USA•North Reading, MA

About The Position

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.

Requirements

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

Responsibilities

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
Analyze simulation results to drive infrastructure and operational improvements
Collaborate with engineering and data teams to validate models and assumptions
Optimize performance and computational efficiency of simulation systems