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Director Robotic Simulation Engineer Jobs in Spring, TX

Senior ML/RL Engineer, Behavior Planning

Houston, TX · On-site

$99K - $137K/yr

This role involves bridging the gap between simulation and real-world applications by creating ... robotic or autonomous systems. • Expertise in Python and PyTorch; strong understanding of modern ...

Houston, TX Travel: 10% Who We Are Persona AI is building humanoid robots for the most demanding ... Conduct simulations, structural analysis, and performance evaluations to optimize system ...

New

Simulated Participant

Houston, TX · On-site +1

$25 - $80/hr

Support hybrid simulations that may involve manikins, task trainers, or other modalities, as directed. Qualifications * Education and Experience * High school diploma or equivalent required ...

IT Security Engineer

Houston, TX · On-site

$80 - $100/hr

METECS is an engineering and applied technology company specializing in high-fidelity simulation, software, robotics, and systems analysis. We are looking for an IT Security Engineer to lead security ...

Promote adoption of advanced simulation tools, digital engineering methods, and modelbased ... Direct involvement in full lifecycle development of spacecraft analytical products-from concept ...

Simulation Software Proficiency * AutoCAD Experience * Six Sigma Analysis ATS Optimization KeywordsHard Skills * Robotics * Conveyors * Sorters * PLCs * Operational Data Analysis * Process Reviews

New

Showing results 41-60

Director Robotic Simulation Engineer information

See Spring, TX salary details

$25.8K

$94K

$150.4K

How much do director robotic simulation engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for director robotic simulation engineer in Spring, TX is $93,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,300.00 and $113,000.00 per year, depending on experience, location, and employer.

What does a Director Robotic Simulation Engineer do?

A Director Robotic Simulation Engineer oversees the development and management of simulation environments for robotic systems. They lead teams in designing, testing, and optimizing virtual models to ensure robots perform effectively in real-world applications. This role involves strategic planning, collaboration with cross-functional teams, and integrating advanced technologies to improve simulation accuracy and efficiency. Their work is crucial for reducing costs, minimizing physical prototyping, and accelerating the deployment of robotic solutions.

What are the key skills and qualifications needed to thrive as a Director Robotic Simulation Engineer?

To thrive as a Director Robotic Simulation Engineer, you need advanced expertise in robotics, computer science, and simulation modeling, often supported by a master's or Ph.D. in a related field. Proficiency with simulation software such as ROS, Gazebo, MATLAB/Simulink, and familiarity with programming languages like Python or C++ is essential. Leadership, strategic thinking, and strong communication skills are crucial for managing teams and collaborating across departments. These skills ensure the effective development, testing, and deployment of complex robotic systems in alignment with organizational goals.

How does a Director Robotic Simulation Engineer typically collaborate with cross-functional teams in the development process?

As a Director Robotic Simulation Engineer, you will frequently collaborate with multidisciplinary teams, including software developers, mechanical engineers, and project managers, to ensure simulation models accurately reflect real-world performance. This role involves leading discussions to integrate simulation feedback into design iterations, coordinating with testing teams to validate results, and occasionally interfacing with clients for project updates. Strong communication skills and the ability to translate complex technical findings into actionable insights for other departments are essential. Regular meetings and collaborative platforms are commonly used to keep all stakeholders aligned throughout the development cycle.

What is the difference between Director Robotic Simulation Engineer vs Robotic Simulation Engineer?

AspectDirector Robotic Simulation EngineerRobotic Simulation Engineer
CredentialsBachelor's/Master's in Engineering, often with leadership experienceBachelor's or higher in Engineering or related field
Work EnvironmentLeadership role overseeing teams and projectsHands-on technical role focused on simulation development
Employer & IndustryManufacturers, tech companies, R&D labsRobotics firms, research institutions, manufacturing

The main difference is that the Director Robotic Simulation Engineer holds a leadership position, managing teams and strategic projects, while the Robotic Simulation Engineer focuses on technical development and simulation tasks. Both roles require engineering expertise, but the director role emphasizes management and oversight.

What are popular job titles related to Director Robotic Simulation Engineer jobs in Spring, TX?

For Director Robotic Simulation Engineer jobs in Spring, TX, the most frequently searched job titles are:

What job categories do people searching Director Robotic Simulation Engineer jobs in Spring, TX look for?

The top searched job categories for Director Robotic Simulation Engineer jobs in Spring, TX are:

What cities near Spring, TX are hiring for Director Robotic Simulation Engineer jobs?

Cities near Spring, TX with the most Director Robotic Simulation Engineer job openings:

Senior ML/RL Engineer, Behavior Planning

Bot Auto

Houston, TX • On-site

$99K - $137K/yr

Full-time

Re-posted 25 days ago


Job description

Job Summary:
Bot Auto is revolutionizing the transportation of goods with autonomous trucks, and they are seeking a Senior ML/RL Engineer to develop their unified behavioral architecture. This role involves bridging the gap between simulation and real-world applications by creating scalable policy frameworks and ensuring safety in autonomous navigation.
Responsibilities:
• Behavioral Modeling: Develop and train diverse, conditioned policies that simulate realistic driving behaviors to stress-test and validate our autonomous driving stack.
• Safety-Constrained Learning: Lead the research and implementation of advanced RL algorithms to ensure safety metrics are treated as primary constraints in the learning process.
• Reward & Objective Design: Collaborate with cross-functional teams to design robust reward functions and evaluation metrics that balance safety, progress, and comfort.
• Scalable Training Pipelines: Contribute to the optimization of our large-scale, high-throughput training environments to enable rapid iteration on complex multi-agent scenarios.
• Model Architecture: Advance our state-of-the-art neural architectures to improve spatial reasoning, long-horizon planning, and interaction modeling.
• Cross-Team Collaboration: Work closely with Simulation and Planning teams to integrate research-grade models into production-quality, safety-critical software.
Qualifications:
Required:
• Proven track record of training and deploying deep RL algorithms (e.g., PPO, SAC) for complex, real-world robotic or autonomous systems.
• Expertise in Python and PyTorch; strong understanding of modern deep learning architectures and optimization techniques.
• MS or PhD in Computer Science, Robotics, or a related quantitative field.
• Ability to diagnose and solve fundamental challenges in RL training, such as variance management and distribution shift.
Preferred:
• Experience with constrained optimization or safety-critical learning frameworks.
• Background in MARL training stability, including self-play and decentralized execution strategies.
• Familiarity with vehicle dynamics and behavior planning, particularly for long-haul highway environments.
Company:
Transforming American Transportation with Autonomous Trucks Founded in 2023, the company is headquartered in Houston, USA, with a team of 51-200 employees. The company is currently Growth Stage.