Master's degree or Ph.D. in Electrical, Mechanical, Systems, or Computer Engineering
15+ years of experience in automotive engineering with leadership in V&V
Track record in transforming validation processes toward AI-driven methods
Expertise in MBSE, SysML v2, digital twin technologies, and continuous validation
Strong knowledge of automated testing frameworks and end-to-end requirements traceability
Experience with AI and machine learning in automotive validation scenarios
Proficient in safety regulations including ISO 26262 and SOTIF.
Responsibilities
Develop and execute a forward-looking verification and validation strategy
Build and lead a high-performing V&V organization
Establish and scale validation frameworks using cutting-edge technologies
Collaborate with cross-functional teams to define validation requirements
Drive adoption of best practices in model-based systems engineering and automation
Leverage data analytics for enhanced validation processes
Communicate with leadership and stakeholders on validation progress and strategy.
Benefits
Opportunity to work with an iconic brand in the electric vehicle sector
Access to cutting-edge technologies and innovative validation methods
Engagement in a high-impact leadership role
Collaboration with a diverse and talented cross-functional team
Dynamic work environment with a focus on operational excellence.
Full Job Description
Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following:
Develop and execute a forward-looking verification and validation strategy that drives the shift from document-centric processes to AI-enabled, model-based continuous validation.
Build and lead a high-performing V&V organization across systems, software, hardware, and vehicle integration, fostering innovation, technical excellence, and operational rigor in support of software-defined vehicle (SDV) development.
Establish and scale validation frameworks leveraging digital twins, simulation, virtual verification, HiL/SiL/MiL, CI/CD validation pipelines, automated regression testing, and fleet data analytics to enable earlier defect detection and continuous learning.
Partner closely with systems engineering, software, hardware, product, manufacturing, and quality teams to define validation requirements and ensure end-to-end requirements traceability through a robust digital thread across the development lifecycle.
Drive adoption of MBSE, SysML v2, digital thread practices, requirements traceability (e2e), test automation, scenario-based validation, and AI-assisted test generation to improve validation coverage, speed, and quality.
Leverage connected vehicle and field performance data to enable closed-loop validation, AI-based coverage analysis, machine learning for defect prediction, and data-driven prioritization of validation activities.
Champion the use of GenAI for requirements review and test review, increasing consistency, completeness, and efficiency across validation workflows.
Ensure compliance with automotive safety, cybersecurity, and quality standards, including ISO 26262 and SOTIF, and lead safety case development to support validation readiness, release decisions, and risk management.
Lead strategic investments in tools, methods, and digital infrastructure that support scalable validation platforms, cloud-based simulation, and enterprise-wide validation analytics.
Manage resources, budgets, and development timelines to ensure efficient execution and timely delivery of validation milestones.
Communicate clearly with executive leadership and cross-functional stakeholders, providing actionable insights, progress updates, and strategic recommendations on validation maturity and vehicle readiness.
Location & Travel Expectations:
This role may be based out of the Scout Motors location in Charlotte, NC.
The responsibilities of this role require 4-5 daysattendance in office with in-person meetings and events regularly.
Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time.
Travel: Domestic and international travel required. Valid driver's license required. Passport required
What you'll bring
Master's degree or Ph.D. in Electrical Engineering, Mechanical Engineering, Systems Engineering, Computer Engineering, or a related technical field.
15+ years of experience in automotive engineering, including senior leadership responsibility in verification and validation of complex vehicle systems, software-defined vehicles, and/or electric vehicles.
Proven track record of transforming validation organizations, processes, and toolchains toward model-based, software-centric, AI-enabled, and data-driven approaches.
Deep expertise in MBSE, SysML v2, digital thread, digital twin, continuous validation, virtual verification, simulation environments, and test automation frameworks.
Strong knowledge of requirements traceability (end-to-end), HiL, SiL, MiL, scenario-based testing, CI/CD validation, automated regression testing, and validation toolchains across hardware, software, and systems integration.
Experience leveraging fleet data, telemetry, connected vehicle data, AI-assisted test generation, AI-based coverage analysis, machine learning for defect prediction, and GenAI for requirements and test review.
Strong understanding of automotive safety, cybersecurity, regulatory, and quality standards, including ISO 26262, SOTIF, and safety case development in modern validation organizations.
Demonstrated experience building and leading high-performing technical teams, driving cross-functional alignment, and influencing executive stakeholders.
Strategic mindset with the ability to define long-term roadmaps, prioritize investments, and scale digital validation capabilities in a fast-paced environment.
Strong analytical and problem-solving skills, with the ability to synthesize complex technical issues into clear decisions and actions.
Security Clearance Required: No Visa Candidate Considered: No Compensation Base Salary - USD $280,000 to $340,000
