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Manager Robotics Simulator Jobs in Georgetown, TX

Director of Robotics or Engineering Manager Job Summary We are seeking a talented Robotics Engineer ... Conduct system testing, debugging, and performance optimization in both simulation (Gazebo, Isaac ...

We lacked buildings, roads, water, power, communications, and waste management, and constructing ... Develop simulation and visualization tools to aid in rapid prototyping of robotic software and ...

Senior SimOps Engineer

Austin, TX · On-site

$103K - $142K/yr

In this role, you will apply high-fidelity simulation rigor to humanoid robotics, managing the lifecycle of virtual environments used for locomotion, dexterous manipulation, and synthetic data ...

Manage and control engineering documentation, including drawings, models, and BOMs, within Product ... SolidWorks Simulation experience is highly relevant, and ANSYS experience is transferable.

SkyGrid also acts as a key operational nexus for advanced air mobility, integrating and managing ... Bachelor's degree in Aerospace Engineering, Computer Science, Robotics, or a related field. * 7+ ...

SkyGrid also acts as a key operational nexus for advanced air mobility, integrating and managing ... Bachelor's degree in Aerospace Engineering, Computer Science, Robotics, or a related field. * 7+ ...

SkyGrid also acts as a key operational nexus for advanced air mobility, integrating and managing ... Bachelor's degree in Aerospace Engineering, Computer Science, Robotics, or a related field. * 7+ ...

Help build scalable software infrastructure, device management systems, and fleet coordination ... Experience with simulation environments and digital twin technologies. * Knowledge of computer ...

Help build scalable software infrastructure, device management systems, and fleet coordination ... Experience with simulation environments and digital twin technologies. * Knowledge of computer ...

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Manager Robotics Simulator information

See Georgetown, TX salary details

$25.6K

$75.9K

$127.8K

How much do manager robotics simulator jobs pay per year?

As of Aug 4, 2026, the average yearly pay for manager robotics simulator in Georgetown, TX is $75,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,500.00 and $108,200.00 per year, depending on experience, location, and employer.

What are some common challenges faced by a manager robotics simulator and how can they be addressed?

Managers of Robotics Simulator teams often encounter challenges such as integrating new simulation technologies, ensuring accurate modeling of real-world robotics environments, and facilitating effective collaboration between simulation engineers and robotics developers. To overcome these hurdles, it's important to stay updated with the latest simulation tools, foster clear communication across multidisciplinary teams, and implement structured testing processes. Regular team meetings and cross-functional workshops also help ensure alignment on project goals and technical requirements.

What is the difference between Manager Robotics Simulator vs Robotics Engineer?

AspectManager Robotics SimulatorRobotics Engineer
Required CredentialsBachelor's or master's in robotics, engineering, or related field; leadership experienceBachelor's or master's in robotics, mechanical, electrical, or software engineering
Work EnvironmentTeam leadership, project management, overseeing simulation developmentDesign, develop, and test robotic systems and simulations
Employer & Industry UsageTech companies, research labs, manufacturing firmsRobotics firms, automation companies, research institutions

The Manager Robotics Simulator primarily oversees simulation projects, manages teams, and ensures project delivery, focusing on leadership and coordination. In contrast, a Robotics Engineer is hands-on, involved in designing and developing robotic systems and simulations. Both roles require technical expertise, but the Manager focuses on management, while the Engineer emphasizes technical development.

What is a manager robotics simulator?

A Manager Robotics Simulator oversees the development, implementation, and maintenance of robotics simulation software and environments. They manage teams of engineers and developers to ensure high-quality, accurate simulations that support the testing and training of robotic systems. This role bridges technical expertise with leadership responsibilities, coordinating projects, setting goals, and ensuring timely delivery of simulation products. Additionally, they often collaborate with other departments to integrate simulation tools into larger robotics workflows.

What are the key skills and qualifications needed to thrive as a manager robotics simulator?

To thrive as a Manager Robotics Simulator, you need expertise in robotics engineering, simulation software, and team leadership, often supported by a degree in robotics, engineering, or computer science. Familiarity with simulation platforms (such as Gazebo or ROS), programming languages (like Python or C++), and project management tools is typically required, along with relevant certifications. Strong communication, problem-solving, and organizational skills enable effective collaboration and project execution. These competencies are crucial for ensuring high-quality simulation environments, leading teams, and delivering innovative robotics solutions efficiently.
What job categories do people searching Manager Robotics Simulator jobs in Georgetown, TX look for? The top searched job categories for Manager Robotics Simulator jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Manager Robotics Simulator jobs? Cities near Georgetown, TX with the most Manager Robotics Simulator job openings:
Infographic showing various Manager Robotics Simulator job openings in Georgetown, TX as of July 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 85% Physical, 1% Hybrid, and 14% Remote job distribution, with an average salary of $75,887 per year, or $36.5 per hour.

Senior Product Manager, Robotics & Autonomy

Diligent Robotics

Austin, TX

$125K - $165K/yr

Other

Posted 17 days ago


Job description

Senior Product Manager, Robotics & AutonomyWhat we're doing isn't easy, but nothing worth doing ever is.

At Diligent Robotics, we envision a future powered by robots that work seamlessly with human teams. We build artificial intelligence that enables service robots to collaborate with people and adapt to dynamic human environments.

Our robots operate every day in hospitals, helping healthcare staff spend less time on routine work and more time caring for patients. Operating a real-world fleet gives us something few robotics companies have: continuous customer feedback and operational data that directly shapes the next generation of Physical AI.

We're looking for a Senior Product Manager, Robotics & Autonomy to define and execute the product strategy for some of the most critical capabilities in our robotics platform. You'll work at the intersection of robotics, autonomy, AI, and software engineering to translate business priorities, customer needs, and technical opportunities into a clear product roadmap that drives measurable outcomes.

This role is ideal for someone who understands complex autonomous systems and enjoys working alongside world-class engineers to bring ambitious technology from concept into production.

Responsibilities
  • Own the product strategy and roadmap for key Robotics and Autonomy initiatives, balancing customer impact, technical feasibility, and long-term platform investments.
  • Define product requirements for autonomy, navigation, perception, fleet intelligence, simulation, and robotics platform capabilities.
  • Partner closely with Engineering, AI, Robotics, Customer Success, Operations, and Leadership to align priorities across the organization.
  • Translate customer feedback, fleet telemetry, and operational insights into product decisions that improve robot performance, reliability, and user experience.
  • Prioritize investments using data, customer value, technical complexity, and business impact.
  • Drive cross-functional execution from concept through launch, ensuring engineering teams have clear requirements, measurable success criteria, and well-defined priorities.
  • Develop product metrics that measure adoption, reliability, autonomy performance, operational efficiency, and customer outcomes.
  • Partner with engineering teams to define release milestones, evaluate tradeoffs, and remove ambiguity throughout development.
  • Stay informed on advances in robotics, autonomous vehicles, AI, and Physical AI to identify opportunities that strengthen Diligent's competitive advantage.
  • Communicate product strategy, roadmap, and progress clearly to executives and stakeholders across the company.
Basic Qualifications
  • Bachelor's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related technical discipline.
  • 5+ years of Product Management experience, including ownership of complex technical products.
  • Experience working with robotics, autonomous vehicles, drones, industrial automation, or other cyber-physical systems.
  • Demonstrated ability to define product strategy and execute technical roadmaps in partnership with engineering organizations.
  • Strong technical aptitude with the ability to understand robotics architectures, AI systems, and software development processes without necessarily writing production code.
  • Experience working in agile product development environments with cross-functional engineering teams.
  • Strong analytical skills and experience using quantitative and qualitative data to drive prioritization.
  • Excellent communication skills with the ability to influence technical and non-technical stakeholders.
  • Proven ability to make thoughtful tradeoffs in ambiguous, fast-moving environments.
Preferred Qualifications
  • Experience shipping autonomy, robotics, autonomous vehicle, or AI-enabled products from concept through commercial deployment.
  • Familiarity with robotics software stacks such as ROS, perception systems, navigation, planning, simulation, or machine learning.
  • Experience working with fleet telemetry, operational analytics, or real-world robotics deployments.
  • Understanding of modern AI technologies including foundation models, reinforcement learning, computer vision, or Physical AI.
  • Experience building products for enterprise customers, healthcare, logistics, or other operational environments.
  • MBA or Master's degree in a technical discipline.