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Remote Autonomous Driving Engineer Jobs in Houston, TX

Raymond Search Group

Inside Sales Engineer

Kingwood, TX · On-site +1

$52K - $65K/yr

Onsite/hybrid preferred; fully remote considered for an exceptional candidate; ~15% travel ... Autonomy and communication strength across clients, PMs, and sales. * Commercial instinct to hold a ...

RINA

Senior Structural Engineer

Houston, TX · On-site +1

$150K - $200K/yr

Remote options from other US locations may be considered. Compensation Data $150,000-$200,000 ... Operating with a high degree of autonomy, this role is responsible for planning and coordinating ...

BridgePoint Works

Software Engineer

Houston, TX · Remote

$60 - $75/hr

Software Engineer (Remote USA) | $60-$75 per Hour Do You Want to Build Software That Shapes the ... solutions, and driving innovation in the civil engineering space. This isn't just another ...

Demand.com

Marketing Director (Remote)

Houston, TX · Remote

Proven success in driving measurable pipeline and ROI * Experience building marketing functions ... Full ownership and autonomy to shape marketing * Data-driven, innovative environment * Flexible ...

Honeywell

Sr Advanced Application Engr

Houston, TX · Remote

... to autonomy. YOU MUST HAVE: * Qualified applicants must have a Bachelor's degree or foreign ... Engineer for Honeywell International, Inc. (Houston, TX) RESPONSIBILITES: * Deliver remote support ...

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All JobsAutonomous Driving Engineer JobsRemote Autonomous Driving Engineer JobsRemote Autonomous Driving Engineer Jobs in Houston, TX

Remote Autonomous Driving Engineer information

See Houston, TX salary details

$56.3K

$131.1K

$187.7K

How much do remote autonomous driving engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for remote autonomous driving engineer in Houston, TX is $131,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,900.00 and $187,200.00 per year, depending on experience, location, and employer.

What is a remote autonomous driving engineer?

A Remote Autonomous Driving Engineer is a professional who designs, develops, tests, and implements software and systems that enable vehicles to operate without direct human control. These engineers often work remotely, using cloud-based tools and simulations to collaborate with teams and test autonomous driving algorithms. Their responsibilities may include sensor integration, perception modeling, path planning, and ensuring safety and compliance with industry standards. They play a key role in advancing self-driving technology by working on cutting-edge machine learning, computer vision, and robotics challenges.

What are the key skills and qualifications needed to thrive as a remote autonomous driving engineer, and why are they important?

To thrive as a Remote Autonomous Driving Engineer, you need a strong background in robotics, computer vision, machine learning, and programming languages like Python or C++, often backed by a degree in engineering or computer science. Experience with simulation tools (e.g., ROS, CARLA), real-time data processing, and knowledge of automotive safety standards or certifications such as ISO 26262 are typically required. Excellent problem-solving skills, remote communication abilities, and adaptability are crucial soft skills for collaborating with distributed teams and addressing complex challenges. These competencies ensure the safe and efficient development of reliable autonomous driving systems in a remote work environment.

What are the unique challenges of collaborating with global teams as a remote autonomous driving engineer?

As a Remote Autonomous Driving Engineer, you'll frequently collaborate with cross-functional teams spanning different time zones and regions. This can present challenges such as coordinating meetings, managing asynchronous communication, and ensuring clear documentation of technical requirements. To succeed, it's essential to develop strong written communication skills and utilize collaborative tools for version control, code review, and project management. Building relationships with colleagues remotely also requires proactive engagement and regular check-ins to maintain alignment on project goals.

What is the difference between Remote Autonomous Driving Engineer vs Remote Autonomous Vehicle Software Developer?

AspectRemote Autonomous Driving EngineerRemote Autonomous Vehicle Software Developer
Required CredentialsEngineering degree, specialized in autonomous systems, certifications in robotics or AISoftware development background, experience with autonomous vehicle software, relevant certifications
Work EnvironmentCollaborates with hardware teams, field testing, simulation environmentsFocuses on coding, software testing, simulation, and integration
Industry UsageDesigns and tests autonomous driving systems, sensor integrationDevelops software components for autonomous vehicles, algorithms, and control systems

While both roles involve autonomous vehicle technology, the Remote Autonomous Driving Engineer focuses on system design, testing, and integration of autonomous driving systems, often working closely with hardware. The Remote Autonomous Vehicle Software Developer primarily concentrates on coding, software development, and simulation tasks within autonomous vehicle software platforms.

What are the most commonly searched types of Autonomous Driving Engineer jobs in Houston, TX?

The most popular types of Autonomous Driving Engineer jobs in Houston, TX are:

What are popular job titles related to Remote Autonomous Driving Engineer jobs in Houston, TX?

For Remote Autonomous Driving Engineer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Remote Autonomous Driving Engineer jobs in Houston, TX look for?

The top searched job categories for Remote Autonomous Driving Engineer jobs in Houston, TX are:

Remote Autonomous Driving Engineer jobs near you
Infographic showing various Remote Autonomous Driving Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 67% Full Time, 29% Part Time, 2% Temporary, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $131,127 per year, or $63 per hour.

Senior Software Engineer, Simulation & World Models

Bot Auto

Houston, TX • On-site, Remote

Full-time

Re-posted 28 days ago

Job description

About the Role

We are building the next generation of autonomous trucking technology to make freight transportation safer, more efficient, and more scalable.

Our Simulation team develops the virtual environments, testing infrastructure, and AI-driven simulation systems that enable rapid development and validation of autonomous driving software. We leverage large-scale simulation, synthetic data generation, reinforcement learning environments, and emerging world-model technologies to accelerate autonomy development.

We are seeking a software engineer with strong C++ expertise and a passion for building scalable simulation systems. This role offers the opportunity to work at the intersection of autonomous driving, simulation, robotics, and AI.

What You'll DoBuild Autonomous Driving Simulation Systems
  • Design and develop high-performance simulation infrastructure for autonomous vehicle development and validation
  • Build scalable systems for scenario generation, simulation execution, and evaluation
  • Develop simulation tooling used by Perception, Prediction, Planning, and Controls teams
  • Improve simulation realism, scalability, and operational efficiency
  • Collaborate across teams to support testing, validation, and development workflows
Develop AI-Driven Simulation Capabilities
  • Build infrastructure supporting reinforcement learning and closed-loop evaluation workflows
  • Develop systems for synthetic data generation and automated scenario creation
  • Collaborate with ML engineers and researchers to integrate learned models into simulation environments
  • Explore emerging approaches in world modeling, agent simulation, and Physical AI
Engineering Excellence
  • Write production-quality C++ and Python code
  • Participate in architecture and technical design discussions
  • Build reliable, maintainable, and well-tested systems
  • Contribute to code reviews and engineering best practices
  • Create clear technical documentation for systems and tools
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
  • 3+ years of professional software development experience
  • Strong expertise in modern C++ (C++17 or newer preferred)
  • Experience designing and developing production software systems
  • Strong understanding of:
    • Multithreading and concurrency
    • Memory management
    • Performance optimization
    • Software architecture and system design
  • Experience working with simulation, robotics, gaming, or autonomous systems
Preferred Qualifications
  • Experience with simulation platforms such as:
    • CARLA
    • Isaac Sim
    • Unreal Engine
  • Familiarity with reinforcement learning concepts and workflows
  • Experience with agent-based simulation or closed-loop simulation systems
  • Experience building synthetic data generation pipelines
  • Experience with ROS or ROS2
  • Experience with cloud-native infrastructure such as Docker, Kubernetes, AWS, or GCP
  • Familiarity with machine learning infrastructure and large-scale data processing systems
Nice to Have
  • Experience in autonomous driving or robotics applications
  • Experience with multi-agent simulation systems
  • Familiarity with world models, generative simulation, or Physical AI technologies
  • Experience with sensor simulation, including camera, lidar, or radar
  • Experience with physics engines and real-time systems
  • Experience with CUDA, OpenGL, Vulkan, or graphics programming
What We're Looking For
  • Strong software engineering fundamentals
  • Systems-thinking mindset and attention to detail
  • Curiosity about simulation, AI, robotics, and autonomous systems
  • Ability to work across simulation, infrastructure, and machine learning domains
  • Comfortable working in a fast-paced environment with evolving technical challenges
  • Passion for building the next generation of intelligent simulation platforms

Apply