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Home Based Robotic Simulation Engineer Jobs in Texas

Simulation Engineer, Irving, TX As a Simulation Engineer for the Digital Twin platform, you will be ... based modeling using tools such as AnyLogic * MS or BS in Computer Science, Math, Physics ...

Based in Austin, Texas, SkyGrid builds ground-based high-assurance third-party services to enable ... Bachelor's degree in Aerospace Engineering, Computer Science, Robotics, or a related field. * 7+ ...

Based in Austin, Texas, SkyGrid builds ground-based high-assurance third-party services to enable ... Bachelor's degree in Aerospace Engineering, Computer Science, Robotics, or a related field. * 7+ ...

Based in Austin, Texas, SkyGrid builds ground‑based high‑assurance third‑party services to ... Bachelor's degree in aerospace engineering, computer science, robotics, or a related field. * 7+ ...

... based modeling using tools such as Anylogic * MS or BS in Computer Science,Math, Physics ... Experience/ familiarity in building and engineering digital twins solutions with simulation ...

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Home Based Robotic Simulation Engineer information

What is a home based robotic simulation engineer?

Home Based Robotic Simulation Engineers are professionals who design, develop, and test robotic systems using simulation software, all while working remotely from their homes. They create virtual models of robotic equipment or processes to analyze performance, troubleshoot issues, and optimize designs before actual implementation. This role typically involves using specialized simulation tools, collaborating with cross-functional teams online, and ensuring that robotic solutions meet technical and operational requirements.

How does a home based robotic simulation engineer typically collaborate with on-site engineering teams and clients?

A Home Based Robotic Simulation Engineer often works remotely but remains highly connected to both on-site engineering teams and clients through regular video meetings, screen sharing, and collaborative project management tools. They contribute by developing and testing robotic simulations, then sharing results and updates for review and feedback. Effective communication and documentation are crucial, as is the ability to troubleshoot issues remotely and align with the broader project goals. This collaborative approach ensures that simulation models are accurate and meet client specifications, while also supporting seamless integration with physical robotics systems.

What are the key skills and qualifications needed to thrive as a home based robotic simulation engineer, and why are they important?

A Home Based Robotic Simulation Engineer typically requires a background in robotics, computer science, or engineering, with strong programming skills in languages such as Python or C++. Familiarity with simulation tools like ROS (Robot Operating System), Gazebo, or MATLAB Simulink, and relevant certifications in robotics or automation are highly valued. Excellent problem-solving abilities, self-motivation, and effective remote communication skills help individuals excel in a virtual work environment. These competencies are crucial for developing accurate robotic simulations, collaborating with remote teams, and delivering innovative automation solutions.

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 Home Based Robotic Simulation Engineer jobs in Texas?

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

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

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

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

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

Principal Robotics Simulation Architect

Austin, TX • On-site

Advanced Micro Devices, Inc
Computer and Electronic Product Manufacturing • 5 - 10K employees

$178K/yr

Full-time

Re-posted 12 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


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.
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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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