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Manager Physics Simulation Jobs in Tomball, TX (NOW HIRING)

Simulates treatment set-ups according to physician instruction. Performs dosimetric calculations ... physicist or dosimetrist, using either manual or computerized dose calculations. Accurately ...

Simulates treatment set-ups according to physician instruction. * Performs dosimetric calculations ... physicist or dosimetrist, using either manual or computerized dose calculations. * Accurately ...

Pulsed Power R&D Engineer

Houston, TX · On-site

$152K - $159K/yr

Experience in electro-static simulations * Strong first-principles engineering fundamentals ... Background in plasma physics. * Basic domain knowledge including surface mount soldering, EMI ...

Pulsed Power R&D Engineer

Houston, TX · On-site

$152K - $159K/yr

Experience in electro-static simulations * Strong first-principles engineering fundamentals ... Background in plasma physics. * Basic domain knowledge including surface mount soldering, EMI ...

Pulsed Power R&D Engineer

Houston, TX · On-site +1

$152K - $159K/yr

Experience in electro-static simulations * Strong first-principles engineering fundamentals ... Background in plasma physics. * Basic domain knowledge including surface mount soldering, EMI ...

... physics-informed models to support tool development and characterization * Work with simulation ... Proficiency in managing and interpreting large datasets * Experience with machine learning ...

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Showing results 1-20

Manager Physics Simulation information

See Tomball, TX salary details

$10.4K

$64K

$115K

How much do manager physics simulation jobs pay per year?

As of Aug 18, 2026, the average yearly pay for manager physics simulation in Tomball, TX is $64,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,700.00 and $75,300.00 per year, depending on experience, location, and employer.

What is the difference between Manager Physics Simulation vs Physics Engineer?

AspectManager Physics SimulationPhysics Engineer
Required CredentialsBachelor's or Master's in Physics, Engineering, or related; leadership experienceBachelor's or Master's in Physics, Engineering, or related; technical expertise
Work EnvironmentTeam leadership, project management, cross-department collaborationResearch, development, simulation, and testing
Employer & Industry UsageGame development, aerospace, automotive, simulation softwareResearch labs, manufacturing, software companies, R&D
Common Search & ComparisonYesNo

The main difference between a Manager Physics Simulation and a Physics Engineer lies in their focus and responsibilities. Managers oversee teams, project timelines, and strategic planning, while Physics Engineers focus on technical development, simulations, and problem-solving. Both roles require strong physics knowledge, but managers emphasize leadership and coordination, whereas engineers concentrate on technical execution.

What cities near Tomball, TX are hiring for Manager Physics Simulation jobs?

Cities near Tomball, TX with the most Manager Physics Simulation job openings:

Senior Software Engineer, Simulation & World Models

Bot Auto

Houston, TX • On-site

Full-time

Re-posted 13 days ago


Job description

About the Role
We are building the next generation of autonomous trucking technology to make freight transportation safer, more efficient, and more scalable.
Our Simulation team develops the virtual environments, testing infrastructure, and AI-driven simulation systems that enable rapid development and validation of autonomous driving software. We leverage large-scale simulation, synthetic data generation, reinforcement learning environments, and emerging world-model technologies to accelerate autonomy development.
We are seeking a software engineer with strong C++ expertise and a passion for building scalable simulation systems. This role offers the opportunity to work at the intersection of autonomous driving, simulation, robotics, and AI.
What You'll Do
Build Autonomous Driving Simulation Systems
  • Design and develop high-performance simulation infrastructure for autonomous vehicle development and validation
  • Build scalable systems for scenario generation, simulation execution, and evaluation
  • Develop simulation tooling used by Perception, Prediction, Planning, and Controls teams
  • Improve simulation realism, scalability, and operational efficiency
  • Collaborate across teams to support testing, validation, and development workflows
Develop AI-Driven Simulation Capabilities
  • Build infrastructure supporting reinforcement learning and closed-loop evaluation workflows
  • Develop systems for synthetic data generation and automated scenario creation
  • Collaborate with ML engineers and researchers to integrate learned models into simulation environments
  • Explore emerging approaches in world modeling, agent simulation, and Physical AI
Engineering Excellence
  • Write production-quality C++ and Python code
  • Participate in architecture and technical design discussions
  • Build reliable, maintainable, and well-tested systems
  • Contribute to code reviews and engineering best practices
  • Create clear technical documentation for systems and tools
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, or a related field
  • 3+ years of professional software development experience
  • Strong expertise in modern C++ (C++17 or newer preferred)
  • Experience designing and developing production software systems
  • Strong understanding of:
    • Multithreading and concurrency
    • Memory management
    • Performance optimization
    • Software architecture and system design
  • Experience working with simulation, robotics, gaming, or autonomous systems
Preferred Qualifications
  • Experience with simulation platforms such as:
    • CARLA
    • Isaac Sim
    • Unreal Engine
  • Familiarity with reinforcement learning concepts and workflows
  • Experience with agent-based simulation or closed-loop simulation systems
  • Experience building synthetic data generation pipelines
  • Experience with ROS or ROS2
  • Experience with cloud-native infrastructure such as Docker, Kubernetes, AWS, or GCP
  • Familiarity with machine learning infrastructure and large-scale data processing systems
Nice to Have
  • Experience in autonomous driving or robotics applications
  • Experience with multi-agent simulation systems
  • Familiarity with world models, generative simulation, or Physical AI technologies
  • Experience with sensor simulation, including camera, lidar, or radar
  • Experience with physics engines and real-time systems
  • Experience with CUDA, OpenGL, Vulkan, or graphics programming
What We're Looking For
  • Strong software engineering fundamentals
  • Systems-thinking mindset and attention to detail
  • Curiosity about simulation, AI, robotics, and autonomous systems
  • Ability to work across simulation, infrastructure, and machine learning domains
  • Comfortable working in a fast-paced environment with evolving technical challenges
  • Passion for building the next generation of intelligent simulation platforms