xIL Framework, Tools & Simulation Lead Engineer

About the role

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
• Define architecture and standards for restbus simulation environments
• Lead development of network simulation models (CAN, Ethernet, LIN, FlexRay)
• Ensure accurate representation of missing ECUs and system interactions
• Establish reusable libraries and frameworks for signal, timing, and behavior modeling
• Drive resolution of complex integration and communication issues
• Collaboration, Deployment & Adoption
• Partner with global teams including:
• Plant modeling
• vECU and software development
• Architecture and integration
• Validation and testing organizations
• Drive enterprise rollout, adoption, and training strategies
• Influence cross-functional alignment and organizational transformation toward virtual validation
• Support program execution, prioritization, and risk management

Basic Qualifications

• Bachelor's degree in Electrical Engineering, Computer Engineering, or related field
• 4+ years of experience in:
• xIL frameworks and virtual validation (MiL/SiL/HiL)
• Simulation toolchains and system integration
• Test automation and CI/CD environments
• Strong expertise in:
• Automotive communication protocols (CAN, Ethernet, LIN)
• Restbus simulation concepts and implementation
• Experience with:
• Version control systems and branching strategies
• Complex system integration and debugging
• Agile/Scrum methodologies
• Proven ability to lead technical initiatives and influence cross-functional teams

Preferred Qualifications

• Master's degree in Electrical/Computer Engineering or related field
• Experience within an Automotive OEM or Tier-1 environment
• Hands-on expertise with:
• MATLAB/Simulink and model-based development
• dSPACE, ETAS, Vector, or similar platforms
• Strong knowledge of:
• AUTOSAR (Classic & Adaptive), Linux, embedded systems
• Experience with:
• XDK or similar execution frameworks
• Cloud-based simulation and distributed computing
• Large-scale simulation data and model management
• Domain expertise in:
• ADAS / Autonomous Driving
• Electrification / Propulsion
• Chassis / Body / Infotainment systems

Additional information

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