Lead Automotive Software Test Engineer

ALTEN Technology USA•Raymond, OH

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. This position is focused on defining and leading testing strategies for AI-driven automotive software systems, ensuring performance, reliability, and safety of advanced in-vehicle technologies. The role involves end-to-end validation strategy ownership, test architecture definition, and coordination of cross-functional testing activities within complex automotive environments. The engineer will work closely with development, validation, and system engineering teams to ensure robust test coverage, high-quality deliverables, and continuous improvement of testing processes. The position requires strong expertise in automotive testing environments, test automation, and validation frameworks, with a focus on intelligent vehicle systems.

Requirements

8+ years of experience in automotive software testing
Bachelor’s degree in Computer Science or Electronics Engineering
Hands-on experience with testing tools (dSPACE, CANoe, CANape, DIVA, OpenTest)
Strong programming/scripting skills in JavaScript, Python, and/or CAPL
Strong understanding of test coverage analysis and defect tracking metrics
Experience working in cross-functional automotive environments
Strong analytical, troubleshooting, and problem-solving skills
Good communication and coordination abilities across teams
Experience in test automation and validation processes
Experienced automotive test engineer with strong background in software testing and validation
Comfortable working in complex, cross-functional, and safety-critical environments
Strong analytical mindset with demonstrated problem-solving capabilities
Self-driven, organized, and capable of managing multiple priorities effectively
Strong communicator with ability to align stakeholders and drive collaboration

Nice To Haves

ISTQB or IREB certification
Experience with AI-driven or autonomous vehicle systems
Knowledge of data pipelines and automotive analytics tools
Experience with HIL/SIL environments
Exposure to automotive safety or compliance standards (functional safety, ISO, etc.)
Experience in large-scale OEM or Tier 1 automotive environments

Responsibilities

Define and lead end-to-end test strategies for AI-driven automotive software systems
Design validation approaches to ensure performance, reliability, and safety of vehicle technologies
Establish test coverage frameworks and ensure alignment with system requirements
Drive continuous improvement of testing methodologies and validation processes
Execute and oversee testing activities using industry-standard tools such as dSPACE, CANoe, CANape, DIVA, and OpenTest
Support integration of hardware-in-the-loop (HIL) and software-in-the-loop (SIL) environments when applicable
Ensure effective use of measurement and diagnostic tools for system validation
Support end-to-end validation across automotive software development lifecycle
Develop and maintain test automation scripts using JavaScript, Python, and CAPL
Support automation of diagnostic and validation workflows
Improve efficiency and repeatability of testing processes through scripting and tooling
Collaborate with engineering teams to integrate automated testing into development pipelines
Support use of data pipelines and analytics tools for automotive software validation
Analyze test data to identify trends, defects, and system performance issues
Contribute to data-driven decision-making for validation and quality improvements
Track and analyze defects using structured metrics and reporting systems
Support root cause analysis and resolution of complex technical issues
Drive continuous improvement initiatives based on test results and quality indicators
Collaborate with software, system, and validation engineering teams
Coordinate testing activities across multidisciplinary teams and stakeholders
Clarify responsibilities and ensure alignment across testing and development efforts
Build strong internal networks to support alignment and execution success
Communicate test results, validation status, and technical findings clearly to stakeholders
Prepare technical documentation, reports, and test summaries
Present complex technical concepts in a clear and structured manner
Support decision-making through accurate and timely reporting