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Robotic Simulation Engineer Jobs in Texas (NOW HIRING)

METECS is seeking an entry-level Simulation Software Engineer to support NASA's simulation efforts as part of the Robotics, Simulations, and Graphics Support (RSGS) team. This role is ideal for ...

METECS is seeking an entry-level Simulation Software Engineer to support NASA's simulation efforts as part of the Robotics, Simulations, and Graphics Support (RSGS) team. This role is ideal for ...

... suite, Robotic Surgery, 20 Standardized patient rooms, Interchangeable high fidelity rooms ... engineering and innovations lab. BENEFITS UT Southwestern is proud to offer a competitive and ...

... suite, Robotic Surgery, 20 Standardized patient rooms, Interchangeable high fidelity rooms ... engineering and innovations lab. BENEFITS UT Southwestern is proud to offer a competitive and ...

Showing results 21-40

Robotic Simulation Engineer information

See Texas salary details

$27K

$98.4K

$157.4K

How much do robotic simulation engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for robotic simulation engineer in Texas is $98,387.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $118,300.00 per year, depending on experience, location, and employer.

What does a typical workday look like for a robotic simulation engineer?

A typical day for a Robotic Simulation Engineer often involves designing and implementing simulation models, testing robotic systems virtually, and analyzing simulation data to improve system performance. You’ll collaborate closely with robotics developers, software engineers, and project managers to integrate simulation results into real-world applications. The work may also include troubleshooting issues in simulations, adjusting parameters, and preparing reports or presentations for stakeholders. This role is usually part of a multidisciplinary team in industries like manufacturing, automotive, or research, providing opportunities to learn from and contribute to cutting-edge robotics projects.

What does a robotic simulation engineer do?

A Robotic Simulation Engineer designs, develops, and tests virtual models of robotic systems before physical implementation. They use simulation software to analyze robot behavior, optimize performance, and validate control algorithms in a virtual environment. This helps reduce development costs, identify potential issues early, and improve overall system efficiency. Their work is essential in industries like manufacturing, automation, and autonomous vehicle development.

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

To thrive as a Robotic Simulation Engineer, you need a strong background in robotics, mechanical or electrical engineering, and proficiency in simulation and modeling, typically supported by a relevant degree. Expertise with tools such as ROS (Robot Operating System), MATLAB/Simulink, Gazebo, or Unity, and familiarity with programming languages like Python or C++ are commonly required, alongside industry certifications if applicable. Analytical thinking, effective communication, and strong problem-solving skills set candidates apart in this field. These capabilities enable engineers to design, test, and refine complex robotic systems in simulated environments, greatly reducing development time and improving real-world performance.

Are robotic simulation engineers in demand?

Robotic simulation engineers are in high demand due to the growing use of robotics in manufacturing, healthcare, and automation industries. They typically require skills in programming, simulation software, and robotics systems, and job opportunities are expanding as companies seek to optimize robotic development and deployment.
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:
Infographic showing various Robotic Simulation Engineer job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $98,387 per year, or $47.3 per hour.

Manager, Simulation Engineering (R4870)

Shield AI

Dallas, TX • On-site

$160K - $240K/yr

Full-time

Re-posted 17 days ago


Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI's technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
As the VBAT Simulation Lead, you will be responsible for improving and scaling our simulation capabilities for the V-BAT and future aircraft. You will design, resource, manage, build and integrate tooling across our various engineering teams (e.g. Aerodynamics, GNC, Propulsion, etc.) to enable efficient and scalable simulation workflows. Your simulation solutions will be a key development tool for other engineers and also a critical gate in our release process.
What you'll do:
  • Work with tech leads and stockholders to design, track, and report simulation roadmaps and release plans.
  • Align needs and priorities across many teams and disciplines
  • Hire and manage a team of specialized simulation engineers across multiple locations.
  • Collaborate with cross-functional teams, including software engineers, autonomy engineers, and aerodynamics engineers, to ensure the simulation accurately reflects real-world conditions
  • Create and maintain processes and workflows to build confidence in simulation tooling to both internal and external customers.
  • Stay updated with the latest advancements in simulation technologies and drive best practices across the team
  • Build and maintain documentation and dashboards to quickly provide data and status to leadership.

Required qualifications:
  • BS in Computer Science or related engineering field with 8+ years of professional experience.
  • 3+ years of experience leading engineering teams or projects.
  • Passion for simulation and testing with the goal of ensuring safety and reliability at scale.
  • A proven track record of working with multiple stakeholder groups and managing clear and successful roadmaps
  • Strong foundation in C++ and software architecture
  • Foundational knowledge of statistics and its application in software development, testing, and data analysis.
  • Solid understanding of mathematics (especially linear algebra) and foundational physics, with the ability to interpret technical papers and algorithms effectively.

Preferred qualifications:
  • Experience with Docker, Kubernetes, and/or containerized application development
  • Familiarity with rigid body dynamics (e.g. Euler's equations, quaternions), aerodynamics, propulsion systems, etc.
  • Experience with Python 3 and data science frameworks (e.g. NumPy, Pandas, Dagster)
  • Experience with robotics concepts, including node-based architectures such as ROS or similar middleware frameworks.

$160,000 - $240,000 a year
#LI-SM1
#LD
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.