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Automotive Control Engineer Jobs in Texas (NOW HIRING)

PACCAR

Control Systems Architect

Lewisville, TX · On-site

The ideal candidate will need to be able to create specifications that allow engineers to deliver ... Automotive embedded electronic component R&D * Embedded real-time systems design and implementation ...

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Automotive Control Engineer information

What is the difference between Automotive Control Engineer vs Automotive Software Engineer?

AspectAutomotive Control EngineerAutomotive Software Engineer
Required CredentialsBachelor's or Master's in Electrical, Mechanical, or Automotive Engineering; knowledge of control systemsBachelor's or Master's in Computer Science, Software Engineering, or related; programming skills
Work EnvironmentDesigning and testing control algorithms in automotive systemsDeveloping and testing software applications for vehicles
Industry UsageUsed in vehicle control systems like engine management, braking, and stability controlUsed in infotainment, navigation, and vehicle communication systems

Automotive Control Engineers focus on designing and implementing control systems that manage vehicle functions, while Automotive Software Engineers develop the software that runs these systems. Both roles require technical expertise but differ in their focus areas within automotive technology.

What are the key skills and qualifications needed to thrive as an automotive control engineer, and why are they important?

To thrive as an Automotive Control Engineer, you need a strong background in control systems, automotive engineering, and programming, typically supported by a degree in electrical, mechanical, or automotive engineering. Familiarity with tools such as MATLAB/Simulink, CAN communication protocols, and automotive diagnostic systems is essential, and certifications like Functional Safety (ISO 26262) can be advantageous. Analytical thinking, problem-solving, and effective teamwork are key soft skills that set top performers apart in this field. These competencies are crucial for designing reliable control systems that ensure vehicle safety, efficiency, and compliance with industry standards.

What are some of the common challenges faced by automotive control engineers when working on new vehicle models?

Automotive Control Engineers often encounter challenges such as integrating new software and hardware systems within tight development timelines and ensuring compatibility with evolving vehicle architectures. They must also balance the need for innovation in control algorithms with rigorous safety and regulatory requirements. Collaboration with cross-functional teams, such as mechanical and electrical engineers, is essential to resolve integration issues and optimize system performance. Adapting to rapid technological advancements and managing complex testing procedures are also frequent aspects of the role.

What does an automotive control engineer do?

An Automotive Control Engineer designs, develops, and tests electronic control systems used in vehicles, such as engine management, braking, and stability systems. They work on integrating software and hardware to ensure optimal vehicle performance, safety, and compliance with regulatory standards. Their responsibilities often include modeling control algorithms, calibrating sensors and actuators, and troubleshooting system issues during development and production. Automotive Control Engineers collaborate closely with other engineers, such as mechanical and electrical engineers, to deliver reliable and efficient vehicle control solutions.
What are popular job titles related to Automotive Control Engineer jobs in Texas? For Automotive Control Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Automotive Control Engineer jobs in Texas look for? The top searched job categories for Automotive Control Engineer jobs in Texas are:
What cities in Texas are hiring for Automotive Control Engineer jobs? Cities in Texas with the most Automotive Control Engineer job openings:
Automotive Control Engineer jobs near you

Software Engineer, VCU (Vehicle Control Unit)

Bot Auto

Houston, TX • On-site

Full-time

Posted 18 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.

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