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Robotic Simulation Engineer Jobs in Texas (NOW HIRING)

SkyGrid

Simulation Engineer III

Austin, TX · On-site

$125 - $150/hr

Bachelor's degree in aerospace engineering, computer science, robotics, or a related field. * 7+ years of experience in simulation development, systems integration, or similar technical domains.

SkyGrid

Simulation Engineer III

Austin, TX · On-site +1

Bachelor's degree in Aerospace Engineering, Computer Science, Robotics, or a related field. * 7+ years of experience in simulation development, systems integration, or similar technical domains.

SkyGrid

Simulation Engineer III

Austin, TX · On-site +1

Bachelor's degree in Aerospace Engineering, Computer Science, Robotics, or a related field. * 7+ years of experience in simulation development, systems integration, or similar technical domains.

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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 Sep 7, 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 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 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 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 and automation across industries such as manufacturing, healthcare, and logistics. They typically require skills in programming, simulation software, and robotics systems, and job opportunities are expected to increase as automation advances.

What is a robotic simulation engineer?

A robotic simulation engineer designs and develops virtual models of robotic systems to test and optimize their performance in simulated environments. They typically use specialized software such as Gazebo, ROS, or V-REP and require skills in programming, robotics, and physics to create accurate simulations that aid in robot development and testing.

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 are popular job titles related to Robotic Simulation Engineer jobs in Texas?

For Robotic Simulation Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Robotic Simulation Engineer jobs in Texas look for?

The top searched job categories for Robotic Simulation Engineer jobs in Texas are:

Robotic Simulation Engineer jobs near you
Infographic showing various Robotic Simulation Engineer job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, 5% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $98,387 per year, or $47.3 per hour.

Principal Robotics Simulation Architect

Advanced Micro Devices, Inc

Austin, TX • On-site

$178K/yr

Full-time

Re-posted 8 days ago

Key responsibilities

  • Collaborate with cross-functional teams to build and refine simulation pipelines for transferring learned behaviors, sensor models, and physics parameters between simulation and real-world robotic systems.

  • Architect and deploy scalable cloud-based simulation infrastructure to support parallel runs, distributed training, and on-demand access for robotic applications.

  • Design and implement SIL and HIL testing frameworks to validate robotic software stacks and hardware-software integration within simulated environments.

Advanced Micro Devices rating

8.6

Company rating: 8.6 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING
At AMD, our mission is to build great products that accelerate next-generation computing experiences-from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you'll discover the real differentiator is our culture. We push the limits of innovation to solve the world's most important challenges-striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.
The Role
We are seeking a highly skilled Senior Robotics Simulation Expert to join our team. The ideal candidate will be responsible for selecting and advancing simulation architecture solutions tailored for robotic systems. This role requires a deep understanding of robotics simulation stacks, including digital twin development, sim-to-real/real-to-sim pipelines, cloud-based simulation infrastructure, and AI integration within autonomous environments.
Key Responsibilities
  • Collaborate with cross-functional teams to build and refine robust pipelines for transferring learned behaviors, sensor models, and physics parameters between simulation and real-world robotic systems, minimizing the reality gap through domain randomization and adaptation techniques.
  • Architect and deploy scalable simulation infrastructure on cloud platforms, ensuring seamless parallel simulation runs, distributed training environments, and on-demand access optimized for robotic use cases with low latency and high performance.
  • Provide technical leadership in integrating AI/ML frameworks into simulation environments, enabling reinforcement learning, synthetic data generation, autonomous behavior training, and intelligent environment modeling.
  • Design and implement SIL testing frameworks to validate robotic software stacks - including perception, planning, and control modules - within simulated environments.
  • Develop and maintain HIL testing setups that interface real hardware components with simulated environments, ensuring real-time performance validation, system integrity, and hardware-software compatibility verification.
  • Stay updated with the latest trends and technologies in robotics simulation frameworks, automation, AI/ML integration, and sim-to-real methodologies, offering insights and recommendations to continuously enhance simulation capabilities.

Preferred Experience
  • Simulation Platforms: Proven experience in simulation architecture using platforms such as NVIDIA Isaac Sim, Gazebo, MuJoCo, Webots, or Unreal Engine, tailored to specific robotic applications.
  • Digital Twin Frameworks: Strong knowledge and hands-on experience developing and maintaining digital twin models for robotic systems, including real-time state synchronization and physics calibration.
  • Sim-to-Real & Real-to-Sim Pipelines: Experience designing domain randomization strategies, sensor noise modeling, and physics engine calibration to bridge the gap between simulation and real-world deployment.
  • Cloud Simulation Infrastructure: Expertise in architecting and deploying simulation environments on cloud platforms including containerized and distributed simulation workflows.
  • AI/ML Integration: Experience integrating machine learning frameworks (PyTorch, TensorFlow, Isaac Lab, or similar) into simulation pipelines for policy training, synthetic data generation, and autonomous behavior development.
  • SIL & HIL Testing: Hands-on experience designing and executing Software-in-the-Loop and Hardware-in-the-Loop testing workflows, including real-time simulation interfacing and embedded system integration.
  • Robotics Frameworks: Proven experience with ROS and ROS2 in simulation and real-world robotic deployments.
  • Problem-Solving Skills: Excellent problem-solving skills and attention to detail in debugging complex hardware-software-simulation interactions.
  • Collaboration and Communication: Ability to work collaboratively in a cross-functional team environment with strong written and verbal communication skills.

Academic Credentials:
  • Bachelor's or Master's in Electrical Engineer, Computer Engineering, Computer Science, or a closely related field

Location
  • Austin, TX
  • Santa Clara, CA
  • Other locations are considered for exceptional candidates.

This role is not eligible for visa sponsorship.
#LI-BW2
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Benefits offered are described: AMD benefits at a glance.
AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants' needs under the respective laws throughout all stages of the recruitment and selection process.
AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
This posting is for an existing vacancy.

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