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Simulation Manager Jobs in Texas (NOW HIRING)

Our team is responsible for process engineering, modeling, simulation, and visual representation of factory production systems, as well as managing R&D investments across digital operations. What You ...

Develops and manages tactical scenarios on current and future threats * Advises customers and users ... Technical Simulation Support Desired Qualifications: * Familiar with software testing processes

As our next Product Manager, you will be driving the vision, prioritization, and execution of our golf simulator hardware and software products. This role sits at the intersection of engineering, UX ...

Product Manager - Golf Simulation

Dallas, TX ยท On-site

$90K - $100K/yr

As our next Product Manager, you will be driving the vision, prioritization, and execution of our golf simulator hardware and software products. This role sits at the intersection of engineering, UX ...

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Simulation Manager information

See Texas salary details

$11

$35

$62

How much do simulation manager jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for simulation manager in Texas is $35.67, according to ZipRecruiter salary data. Most workers in this role earn between $17.40 and $50.48 per hour, depending on experience, location, and employer.

What are Simulation Managers?

Simulation Managers are professionals responsible for overseeing the planning, development, implementation, and evaluation of simulation-based training and educational programs. They often work in fields such as healthcare, aviation, or engineering, managing simulation labs, coordinating scenarios, and ensuring equipment and technology are maintained. Their duties include supervising staff, developing curricula, and ensuring that simulation activities meet organizational and accreditation standards. Simulation Managers play a key role in enhancing training outcomes by providing realistic and effective learning experiences.

What are the key skills and qualifications needed to thrive as a Simulation Manager, and why are they important?

To thrive as a Simulation Manager, you need expertise in simulation-based training, project management, and a relevant degree such as in healthcare, engineering, or education. Familiarity with simulation software (e.g., Laerdal, CAE), audiovisual systems, and potentially certifications like Certified Healthcare Simulation Educator (CHSE) is important. Strong leadership, problem-solving, and communication skills help in coordinating teams and delivering effective training experiences. These skills ensure the successful implementation and management of simulation programs that enhance learning outcomes and operational efficiency.

How does a Simulation Manager typically collaborate with cross-functional teams in a project environment?

Simulation Managers often work closely with engineering, design, and project management teams to ensure that simulation models accurately reflect real-world scenarios. They facilitate regular meetings to gather requirements, validate data inputs, and communicate simulation results to stakeholders. Effective collaboration involves translating technical findings into actionable insights for non-technical team members, helping guide decision-making throughout the project lifecycle. This role requires strong communication skills and a proactive approach to ensure alignment across all involved departments.
What are the most commonly searched types of Simulation jobs in Texas? The most popular types of Simulation jobs in Texas are:
What are popular job titles related to Simulation Manager jobs in Texas? For Simulation Manager jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Simulation Manager jobs in Texas look for? The top searched job categories for Simulation Manager jobs in Texas are:
What cities in Texas are hiring for Simulation Manager jobs? Cities in Texas with the most Simulation Manager job openings:
Infographic showing various Simulation Manager job openings in Texas as of June 2026, with employment types broken down into 2% As Needed, 15% Full Time, 75% Part Time, 2% Temporary, 5% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $74,198 per year, or $35.7 per hour.

Senior Software Engineer, Simulation Systems

Bot Auto

Houston, TX โ€ข On-site

Full-time

Posted 6 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 Do
Build 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