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Simulation Operator Jobs in Texas (NOW HIRING)

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Simulation Operator information

See Texas salary details

$10.2K

$63K

$113.2K

How much do simulation operator jobs pay per year?

As of Jun 1, 2026, the average yearly pay for simulation operator in Texas is $62,981.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,000.00 and $74,100.00 per year, depending on experience, location, and employer.

What is a Simulation Operator job?

A Simulation Operator is responsible for running, monitoring, and troubleshooting simulation systems used for training, testing, or research purposes. They set up and operate software and hardware components, ensuring realistic and accurate simulation experiences. This role is common in industries like aviation, healthcare, military, and engineering, where simulations help train personnel or test scenarios. Simulation Operators also analyze performance data and may assist in improving system functionality. Strong technical skills and attention to detail are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Simulation Operator position, and why are they important?

To thrive as a Simulation Operator, a strong background in computer systems, attention to detail, and an understanding of simulation procedures are essential, typically supported by relevant technical training or a degree in information technology or engineering. Experience with simulation software platforms, troubleshooting hardware, and certifications such as CompTIA or vendor-specific credentials are highly valued. Strong problem-solving abilities, teamwork, and effective communication help Simulation Operators excel in dynamic, fast-paced environments. These skills are crucial for accurately running simulations, supporting end-users, and ensuring seamless operation essential to effective training or system evaluation.

What are the typical daily responsibilities of a Simulation Operator?

Simulation Operators are generally responsible for setting up, running, and monitoring simulation scenarios, troubleshooting technical issues, and ensuring all equipment and software function correctly. They may also collaborate closely with instructors, trainees, or engineering teams to customize or adjust simulations to meet specific training or testing objectives. Documentation and reporting on simulation outcomes or technical issues are part of their routine, and maintaining or updating simulation systems is often required. This hands-on role offers exposure to cutting-edge technology and opportunities to develop both technical and collaborative skills in a supportive team environment.
What job categories do people searching Simulation Operator jobs in Texas look for? The top searched job categories for Simulation Operator jobs in Texas are:
Infographic showing various Simulation Operator job openings in Texas as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $62,981 per year, or $30.3 per hour.
Sr. Software Engineer - Simulation / Support

Sr. Software Engineer - Simulation / Support

Diligent Robotics

Austin, TX • On-site

Full-time

Posted 13 days ago


Job description

What we're doing isn't easy, but nothing worth doing ever is.
We envision a future powered by robots that work seamlessly with human teams. At Diligent Robotics, we build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic, human-filled environments.
Diligent is one of the only companies in the world operating a production fleet of mobile manipulation robots in real environments. Every day, our robots work alongside hospital staff, generating the real-world data needed to advance the next generation of Physical AI. If you're excited about solving the hardest problems in robotics, where simulation meets real-world deployment, this is the job for you.
As a Senior Software Engineer - Simulation / Support, you will accelerate the effectiveness of our engineering organization. This hybrid role spans developer tooling, software support and triage, and simulation infrastructure. You will help engineers build better software, faster, while strengthening the reliability and debuggability of our robotics stack in production.
You will develop state-of-the-art infrastructure to test and validate Physical AI models, and help bridge the gap between simulation and reality by improving synthetic data and scenario generation with real-world data from our growing fleet of operational robots.
Responsibilities
  • Design and build tools that improve productivity and debugging across the robotics software stack
  • Develop and maintain simulation infrastructure used for testing autonomy, navigation, perception, manipulation and system level behaviors
  • Partner with autonomy, perception, platform, and infrastructure teams to integrate simulation into CI pipelines and validation workflows
  • Create reproducible test harnesses and simulation scenarios that mirror real world operational edge cases found in our customer environments
  • Support release readiness by strengthening automated validation, regression testing, and scenario based simulation coverage
  • Contribute to architecture decisions that improve modularity, testability, and long term maintainability of the codebase
  • Evaluate and integrate third party simulation frameworks or build custom simulation tooling as needed
  • Mentor engineers on best practices in testing, debugging, observability, and system design
Basic Qualifications
  • Undergraduate or graduate degree in Robotics, Computer Science, Electrical Engineering, or related field.
  • 5+ years of professional software engineering experience, ideally in robotics, autonomous vehicles, or other complex cyber physical systems
  • Strong proficiency in C++ and/or Python
  • Experience with robotic middleware such as ROS or similar distributed systems frameworks
  • Experience developing or extending simulation environments, such as Gazebo, Isaac Sim, Mujoco, or custom in house engines
  • Experience debugging distributed systems and working with real world hardware
  • Strong understanding of software architecture, systems design, and scalable tooling
  • Familiarity with CI/CD systems and automated testing frameworks
  • Comfort working across the stack, from low level systems to higher level autonomy behaviors
  • Excellent cross functional communication skills and a bias toward pragmatic solution