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Vehicle Validation Engineer Jobs in Texas (NOW HIRING)

... Valid Texas Bus Driver Certification Special Knowledge/Skills ... Advance knowledge of diesel and fuel engineer maintenance and repair Ability to diagnose mechanical ...

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Vehicle Validation Engineer information

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$21

$48

$72

How much do vehicle validation engineer jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for vehicle validation engineer in Texas is $48.44, according to ZipRecruiter salary data. Most workers in this role earn between $36.73 and $58.89 per hour, depending on experience, location, and employer.

Do vehicle validation engineers make good money?

Vehicle validation engineers typically earn competitive salaries that vary by industry, experience, and location. They often require knowledge of testing procedures, quality standards, and tools like MATLAB or CAN protocols, which can influence earning potential. Overall, the role offers solid compensation within automotive and transportation sectors.

What does a vehicle validation engineer do?

A Vehicle Validation Engineer is responsible for testing and verifying that vehicles meet all required safety, performance, and regulatory standards before they go to market. They design and execute test plans, analyze data, and collaborate with design and manufacturing teams to identify and resolve any issues. Their work ensures that vehicles are reliable, safe, and function as intended under various conditions.

What are some common challenges faced by vehicle validation engineers during the testing phase?

Vehicle Validation Engineers often encounter challenges such as tight project timelines, rapidly evolving technology, and the need to coordinate tests across multiple departments. They must ensure that vehicles meet stringent safety, performance, and regulatory standards while adapting quickly to unexpected test results or component issues. Effective communication and problem-solving skills are essential for addressing these challenges and collaborating with design, manufacturing, and quality teams to implement solutions efficiently.

What is the difference between Vehicle Validation Engineer vs Vehicle Test Engineer?

AspectVehicle Validation EngineerVehicle Test Engineer
Required CredentialsBachelor's in Mechanical, Automotive, or Electrical Engineering; certifications like ISTQB or SAE are commonBachelor's in Mechanical, Automotive, or Electrical Engineering; similar certifications often required
Work EnvironmentDesigning validation plans, analyzing data, ensuring vehicle complianceConducting tests, operating testing equipment, recording test results
Industry UsageUsed in automotive manufacturing, OEMs, and suppliers for validation phasesUsed in testing labs, manufacturing plants, and R&D departments

Vehicle Validation Engineers focus on validating vehicle systems through analysis and testing to ensure compliance and performance, while Vehicle Test Engineers primarily conduct physical tests and operate testing equipment. Both roles require similar educational backgrounds and certifications, often working closely within automotive development teams to ensure vehicle quality and safety.

Are vehicle validation engineers in demand?

Vehicle validation engineers are in demand due to the growing automotive industry and the shift toward electric and autonomous vehicles. They are needed to ensure safety, compliance, and performance standards, often requiring skills in testing, data analysis, and familiarity with industry regulations. Job prospects are strong in regions with advanced manufacturing and automotive research centers.

What are the key skills and qualifications needed to thrive as a vehicle validation engineer, and why are they important?

To thrive as a Vehicle Validation Engineer, you need a solid background in mechanical or automotive engineering, strong analytical skills, and experience with vehicle testing and validation processes. Familiarity with diagnostic tools, data acquisition systems, and relevant industry standards or certifications, such as ISO or Six Sigma, is typically required. Excellent problem-solving abilities, attention to detail, and strong communication skills help you collaborate effectively and deliver accurate results. These skills are crucial for ensuring vehicle safety, quality, and compliance with regulatory standards during the development process.
Infographic showing various Vehicle Validation Engineer job openings in Texas as of August 2026, with employment types broken down into 58% Full Time, 39% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $100,761 per year, or $48.4 per hour.

Software Engineer, VCU (Vehicle Control Unit)

Bot Auto

Houston, TX โ€ข On-site

Other

Posted 13 days ago


Job description

Company Introduction

At Bot Auto, we build autonomous trucks to transform the way goods are transported and improve the quality of life for communities worldwide. With a start-up spirit yet long-established experience, Bot Auto has the most seasoned team that has delivered several world's first and world's only. Together, we share vision, we see and build miracles and we drive the future of transportation. Join us and turn your dream into something RUNNING.

Position Overview

We are seeking a VCU Software Engineer to design, implement, integrate, and validate production-grade embedded software for advanced vehicle control systems. This role owns work across requirements, architecture, model-based development, embedded C/C++, AUTOSAR integration, and MIL/SIL/HIL validation. The ideal candidate combines strong vehicle-controls fundamentals with disciplined software engineering and hands-on debugging across simulation, bench, and vehicle environments.

Key Responsibilities

Software System Design:

    • Own the VCU software lifecycle from requirements analysis and architecture through implementation, integration, validation, release, and field support.
    • Define and maintain system and software requirements, architecture, interfaces, state machines, fault handling, and safe-state behavior.
    • Translate vehicle-level requirements into clear, testable software requirements with end-to-end traceability.
    • Partner with controls, hardware, systems, autonomy, validation, manufacturing, and service teams to optimize performance, safety, reliability, and diagnosability.

Embedded Software Development:Application Software and Integration:

      • Develop and optimize VCU application software using MATLAB/Simulink/Stateflow and embedded C/C++, including production-code generation where appropriate.
      • Implement vehicle operating modes, torque coordination, power and energy management, diagnostics, fault management, and drive-by-wire supervisory functions.
      • Integrate application software with AUTOSAR Classic components and layers, including ASW, RTE, BSW, MCAL, and external ECU interfaces.
      • Perform code and model reviews, static analysis, debugging, timing and memory analysis, and performance optimization to deliver robust real-time software.
    • Tooling and Diagnostics: Build or maintain Python-based automation, logging, calibration, monitoring, benchmarking, and data-analysis tools that improve engineering efficiency and product observability.

Verification & Validation:

    • Define and execute unit, integration, MIL, SIL, and HIL test strategies, including requirement-based tests, fault injection, and regression coverage.
    • Automate build, test, and reporting workflows within CI/CD pipelines, and use results to drive measurable quality improvements.
    • Support bench and vehicle integration, diagnose cross-domain hardware/software issues, reproduce failures from logs, and drive issues to verified closure.

Collaboration and Technical Leadership:

    • Coordinate technical decisions with internal teams, suppliers, and platform partners; document assumptions, interfaces, risks, and release readiness.
    • Contribute to design reviews, coding and modeling standards, knowledge sharing, and mentorship while continuously improving the team's development practices.
Skills and Qualifications
  • Bachelor's or advanced degree in Computer Science, Electrical Engineering, Computer Engineering, Automotive Engineering, Robotics, or a related field.
  • Demonstrated experience developing and delivering embedded software for automotive, robotics, autonomous systems, or other safety-critical real-time products.
  • Strong embedded C/C++ skills and practical knowledge of real-time systems, microcontrollers, memory constraints, concurrency, and hardware/software interfaces.
  • Hands-on proficiency with MATLAB, Simulink, and Stateflow for model-based design, simulation, and production software development.
  • Solid understanding of vehicle control concepts, feedback control, state machines, fault detection, degraded modes, and safety mechanisms.
  • Experience with in-vehicle networks and diagnostics, including CAN/CAN-FD and working knowledge of UDS, XCP, or equivalent protocols.
  • Working knowledge of AUTOSAR Classic architecture and the interaction among application software, RTE, BSW, and MCAL.
  • Experience with requirement-based development and MIL, SIL, HIL, bench, or vehicle-level verification.
  • Proficiency with version control, code review, issue tracking, automated testing, CI/CD, and structured debugging workflows.
  • Strong analytical, communication, and cross-functional collaboration skills, with ownership from ambiguous problem definition through validated delivery.
Preferred Qualifications
  • Experience with Infineon AURIX/TC3xx or comparable automotive microcontrollers and associated compilers, debuggers, and RTOS environments.
  • Practical exposure to ISO 26262, Automotive SPICE, MISRA C/C++, safety analysis, or safety-oriented development processes.
  • Experience with Vector, dSPACE, ETAS, or similar tools for network analysis, measurement, calibration, rapid prototyping, and HIL testing.
  • Hands-on experience with CANoe/CANalyzer, DaVinci Configurator/Developer, Embedded Coder, TargetLink, or comparable toolchains.
  • Python experience for test automation, log processing, data analysis, reporting, or developer tooling.
  • Experience with ECU bring-up, board-level debugging, vehicle testing, drive-by-wire systems, or autonomous/electric vehicle platforms.