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.

Role Overview:

• Client is driving virtual vehicle development strategy, and we are seeking a lead engineer for xIL Framework, Tools & Simulation to provide technical leadership in building and scaling enterprise xIL capabilities.
• This role will lead the development and industrialization of xIL frameworks, toolchains, rest bus simulation solutions, and XDK, enabling automated, scalable, and high-fidelity virtual validation across global vehicle programs.
• As a technical leader, you will define architecture, guide engineering teams, and drive adoption of standardized solutions across the organization while partnering with global stakeholders.

Key Responsibilities:

• xIL Framework Architecture & Development
• Architect and lead development of scalable xIL (SiL/HiL/ViL) frameworks
• Define modular, configurable, and reusable simulation architectures
• Ensure seamless integration across toolchains, models, and platforms
• Drive framework performance, robustness, and scalability improvements
• Toolchain & Platform Engineering
• Lead development and integration of the xIL tool ecosystem, including:
• Simulation orchestration and workflow engines
• Model and artifact lifecycle management systems
• Data pipelines and analytics frameworks
• Establish CI/CD integration strategies for simulation and testing
• Enable cloud-based and distributed simulation execution at scale
• Define best practices for automation, performance optimization, and reliability
• Restbus Simulation