Software Simulation Engineer (AI + Infrastructure) at ALTEN Technology USA

North Reading, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

04 Aug, 26

Salary

145000.0

Posted On

06 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Simulation Modeling, Discrete Event Simulation, AI/ML Integration, Python, C++, Infrastructure Systems, Operations Research, Analytical Skills, Problem-solving Skills, Computational Efficiency Optimization

Industry

Engineering Services

Description

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 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 Qualifications; 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 ALTEN Technology is an Equal Opportunity Employer. Our Policy is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual’s age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Please beware of job seeker scams and see this important notice on our careers page for more information about our recruiting process. Compliance Notice: Alten USA is a federal contractor subject to the requirements of the Vietnam Era Veterans’ Readjustment Assistance Act (VEVRAA) and Executive Order 11246. We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Drug Screening Requirement: As a federal contractor, Alten USA maintains a drug-free workplace. All candidates selected for employment will be required to successfully complete a pre-employment drug screening as a condition of hire.

Responsibilities

Design and scale advanced simulation frameworks and high-fidelity environments to improve infrastructure performance. Integrate AI/ML techniques to enhance predictive power and analyze results to drive operational improvements.