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Senior Robotic Simulation Engineer Jobs in Texas

Automation Sr. RPA Engineer

Dallas, TX · On-site

$102K - $135K/yr

Automation Sr. RPA Engineer Location Dallas, TX. Onsite Looking for an Automation Senior Consultant with experience in standard RPA and intelligent Automation delivery. Client-facing role experience ...

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Senior Robotic Simulation Engineer information

What does a senior robotic simulation engineer do?

A Senior Robotic Simulation Engineer is responsible for designing, developing, and optimizing simulation models for robotic systems. They use advanced software tools to create virtual environments that test and validate robot behaviors before deployment in real-world settings. Their work helps to identify potential issues, improve system performance, and reduce development costs and risks. Additionally, they often collaborate with cross-functional teams to integrate simulations with hardware and software development processes.

What are the key skills and qualifications needed to thrive as a senior robotic simulation engineer?

To thrive as a Senior Robotic Simulation Engineer, you need advanced knowledge of robotics, simulation software, algorithm development, and a relevant engineering degree. Expertise in technical tools such as ROS, Gazebo, MATLAB/Simulink, and experience with programming languages like C++ or Python is typically required. Strong problem-solving, communication, and project management skills help you collaborate effectively and drive innovative solutions. These competencies are crucial for designing, testing, and refining robotic systems in complex environments to ensure reliability and performance.

What are some common challenges faced by senior robotic simulation engineers, and how are they typically addressed?

Senior Robotic Simulation Engineers often encounter challenges such as ensuring simulation accuracy, integrating real-world physics, and maintaining compatibility with both hardware and software updates. Addressing these requires continuous collaboration with cross-functional teams—including software developers, roboticists, and hardware engineers—to validate models and refine simulation parameters. Staying current with the latest simulation tools and regularly updating test environments also help mitigate potential discrepancies between simulated and real-world robot performance, ensuring reliable outcomes for deployment.

What is the difference between Senior Robotic Simulation Engineer vs Robotic Software Developer?

AspectSenior Robotic Simulation EngineerRobotic Software Developer
CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; experience with simulation toolsBachelor's or higher in Computer Science or Software Engineering; programming skills
Work EnvironmentResearch labs, robotics companies, simulation platformsSoftware development firms, robotics companies, tech startups
Industry UsagePrimarily in robotics, automation, and simulation industriesBroadly in robotics, automation, and software development sectors

The main difference is that Senior Robotic Simulation Engineers focus on developing and testing virtual models of robots to optimize performance, while Robotic Software Developers primarily write and maintain software applications for robots. The simulation engineers work heavily with simulation tools and modeling, whereas software developers focus on coding and software architecture. Both roles require programming skills and industry knowledge, but their core responsibilities differ in scope and focus.

What are the most commonly searched types of Robotic Simulation Engineer jobs in Texas?

The most popular types of Robotic Simulation Engineer jobs in Texas are:

What cities in Texas are hiring for Senior Robotic Simulation Engineer jobs?

Cities in Texas with the most Senior Robotic Simulation Engineer job openings:

Sr. Software Engineer - Simulation / Support

Diligent Robotics

Austin, TX • On-site

Full-time

Re-posted 2 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