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Senior Robotic Simulation Engineer Jobs in Texas

Senior Robotics Software Engineer I

Austin, TX · On-site

$121K - $160K/yr

Program robotic arm motions in coordination with other systems. * Develop and maintain simulated ... Strong knowledge of autonomy algorithms, robotics frameworks (such as ROS), and simulation ...

... suite, Robotic Surgery, 20 Standardized patient rooms, Interchangeable high fidelity rooms ... Support the Vice Provost and Senior Associate Dean for Education, Assistant Vice President of ...

Showing results 41-60

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:

Manager, Simulation Engineering (R4870)

Shield AI

Dallas, TX • On-site

$160K - $240K/yr

Full-time

Re-posted 28 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. 
#LI-SM1
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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.
 
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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.