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Director Robotic Simulation Engineer Jobs in Spring, TX

This position also includes the use of multi-body dynamics and simulation frameworks for analysis ... Experience in aerospace, robotics, off-road vehicle dynamics, or related terrain-interaction ...

Autonomy Engineer

Houston, TX · On-site

$99K - $137K/yr

Houston, TX Travel: 10% Who We Are Persona AI is building humanoid robots for the most demanding ... Before each new deployment, we then refine and validate its behavior in a digital twin simulation ...

This includes development of software for spacecraft simulations, integration with human/computer ... Our specialties include robotics automation, embedded systems, hardware/software integration ...

This includes development of software for spacecraft simulations, integration with human/computer ... Our specialties include robotics automation, embedded systems, hardware/software integration ...

Flight Software Engineer

Houston, TX · On-site

$110 - $150/hr

METECS is an engineering and applied technology company that provides high-fidelity simulation and ... Our specialties include robotics automation, embedded systems, hardware/software integration ...

METECS is an engineering and applied technology company that provides high-fidelity simulation and ... Our specialties include robotics automation, embedded systems, hardware/software integration ...

A highly motivated robotics or mechanical engineer with a proven track record in robotics and ... Ansys, SolidWorks Simulation, or equivalent * Ability to read P&ID, electrical and hydraulics ...

We are building machines that take on the worst jobs in heavy industry, directed by the crews who ... When a step doesn't work as written, you get it corrected with manufacturing engineering rather ...

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Showing results 21-40

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:

Deep Learning - Robot Manipulation Engineer

Persona AI

Houston, TX • On-site

Full-time

Medical, PTO

Re-posted 5 days ago


Job description

Job Title: Deep Learning - Robot Manipulation Engineer
Department: Machine Learning
Reports To: Head of Machine Learning
Employment Type: Full-Time
Location: Houston, TX
Travel: 10%
Who We Are
Persona AI is building humanoid robots for the most demanding environments in heavy industry - shipyards, steel mills, fabrication facilities, and offshore platforms - performing welding, grinding, maintenance, inspection, and material-handling work that is dangerous, physically demanding, and increasingly difficult to staff.
We are backed by leading strategic and financial investors and engaged with global industrial leaders across Korea, Japan, the United States, and Singapore. Korea is the center of gravity for our early commercial strategy, anchored by relationships with the world's leading shipbuilders and steelmakers. Our work spans both the robot platform itself and the systems, partners, and playbooks required to deploy it at scale.
Why Join Persona AI?
  • We offer competitive compensation, a performance-based bonus, 99% employer covered medical benefits, early-stage equity, competitive PTO, and a company-wide paid winter break between December 24th and January 2nd.
  • You'll shape technology that's redefining the possibilities of robotics and human interaction.
  • Work alongside passionate teammates who value creativity, and continuous learning.

About the Role
We're looking for a Deep Learning Manipulation Engineer to help train Persona AI robots to do real work in real world environments. We're looking for exceptional people who dream big, thrive on challenges, and love seeing their efforts come to life. We are primarily interested in candidates who have developed and released products to the market, but can be flexible depending on aptitude and energy.
As one of the inaugural Deep Learning Manipulation Engineers at Persona, you will have an incredible opportunity to get in at the beginning to shape the design and development of Persona's deep learning and manipulation strategy and infrastructure. If you're passionate about cutting-edge technology and want to be part of a world-class team we'd love to hear from you.
What You Will Be Doing
  • Design and implement advanced deep learning models and training procedures to achieve dexterous manipulation for humanoid robots with high DOF and multi-fingered hands.
  • Train models, using curriculum learning strategies, to progress from simple object interactions to precise grasping, long-horizon tasks, tool-use, and in-hand object manipulation.
  • Incorporate tactile sensing and proprioception into end-to-end learning pipelines, enabling robust closed-loop policies.
  • Work with the teleoperation and data team to design data collection and versioning strategies.
  • Leverage existing state-of-the-art manipulation models and contribute to the development of new architectures for emerging complex tasks.
  • Deploy trained manipulation models to robotic hardware, ensuring real-time performance, safety, and integration with control systems and sensors.
  • Collaboratively develop and optimize the manipulation ML pipeline.
  • Keep up to date with the state of the art in research and development.
  • Develop and execute evaluation pipelines to rigorously test learned manipulation models, including real-world trials and simulation, measuring performance, robustness, and generalization across tasks and environments.
  • Collaborate in attracting, nurturing and growing the machine learning and autonomy teams.

What We Are Looking For:
  • Courage and grit to tackle some of the hardest problems in robot manipulation.
  • Enthusiasm for working collaboratively in fast paced ambiguous environments.
  • Masters or PhD in Robotics, Computer Science, or a related field.
  • 3+ years of experience in applying deep learning to robotic manipulation.
  • Strong understanding and proficiency with state of the art algorithms and best-practices in behavior cloning, vision-language-action models, diffusion policies, foundation models, etc.
  • Experience with cloud computing and large-scale datasets.
  • Understanding of the challenges of deploying neural network models in the real world.
  • Capable of writing high quality software.
  • Strong first principles thinker.

Bonus Skills:
  • Experience with other aspects of ML applied to robotics, including computer vision algorithms, sensors, point clouds, segmentation and object detection.
  • Published papers at top ML/Robotics conferences (ICML, ICRA, CoRL, RSS, NeurIPS).
  • Have deployed robots, collected large amounts of data, and trained large neural networks that work in production environments.

Persona AI is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.