ZipRecruiter

Log In

1

Contract Robotic Simulation Engineer Jobs in Dallas, TX

10059

Director Simulation Center Ops

Dallas, TX

... suite, Robotic Surgery, 20 Standardized patient rooms, Interchangeable high fidelity rooms ... engineering and innovations lab. BENEFITS UT Southwestern is proud to offer a competitive and ...

next page

Showing results 1-20

All JobsContract Robotic Simulation Engineer JobsContract Robotic Simulation Engineer Jobs in Dallas, TX

Contract Robotic Simulation Engineer information

See Dallas, TX salary details

$28.7K

$104.5K

$167.2K

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

As of Aug 18, 2026, the average yearly pay for contract robotic simulation engineer in Dallas, TX is $104,468.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,600.00 and $125,600.00 per year, depending on experience, location, and employer.

What does a contract robotic simulation engineer do?

A Contract Robotic Simulation Engineer is responsible for designing, developing, and testing robotic systems using simulation software, typically on a temporary or project-based contract. They create virtual environments to model robot behavior, optimize workflows, and identify potential issues before physical implementation. This role often involves collaborating with engineers, programmers, and clients to ensure that robotic solutions meet project specifications. Contract engineers may work across various industries, such as manufacturing, automotive, or logistics, providing specialized expertise for specific projects. Their work helps reduce costs, improve efficiency, and minimize risks in robotic system deployment.

What are the key skills and qualifications needed to thrive as a contract robotic simulation engineer?

To thrive as a Contract Robotic Simulation Engineer, you need a solid background in robotics, mechanical or electrical engineering, and experience with simulation modeling, often supported by a relevant engineering degree. Proficiency with tools like ROS (Robot Operating System), MATLAB/Simulink, and simulation platforms such as Gazebo or V-REP, as well as familiarity with programming languages like Python or C++, is typically required. Strong problem-solving skills, adaptability, and effective communication make someone stand out in this role, especially when collaborating with cross-functional teams or clients. These competencies are crucial for developing accurate robotic simulations, ensuring system reliability, and meeting project goals efficiently in a contract-based environment.

What are some common challenges faced by contract robotic simulation engineers when working with diverse client requirements?

Contract Robotic Simulation Engineers often need to adapt quickly to different simulation platforms, robot models, and client-specific workflows. Each client may have unique expectations, software environments, and integration needs, requiring strong problem-solving skills and flexibility. Balancing multiple projects, ensuring accurate simulation results, and communicating technical findings effectively with both technical and non-technical stakeholders are key challenges in this role. Collaborating closely with client teams and staying updated with the latest simulation tools can help overcome these obstacles and deliver successful project outcomes.

What is the difference between Contract Robotic Simulation Engineer vs Contract Automation Test Engineer?

AspectContract Robotic Simulation EngineerContract Automation Test Engineer
CredentialsEngineering degree, robotics or simulation certificationsEngineering or computer science degree, testing certifications
Work EnvironmentRobotics labs, simulation platforms, development teamsSoftware testing environments, QA teams, development labs
Industry UsageRobotics, manufacturing, researchSoftware development, quality assurance, tech companies

The Contract Robotic Simulation Engineer focuses on developing and testing robotic systems within simulation environments, often working closely with hardware and control algorithms. In contrast, the Contract Automation Test Engineer primarily designs and executes automated tests for software applications. While both roles require technical expertise and testing skills, the Robotic Simulation Engineer emphasizes robotics and simulation tools, whereas the Automation Test Engineer concentrates on software testing automation.

What are the most commonly searched types of Robotic Simulation Engineer jobs in Dallas, TX?

The most popular types of Robotic Simulation Engineer jobs in Dallas, TX are:

What are popular job titles related to Contract Robotic Simulation Engineer jobs in Dallas, TX?

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

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

The top searched job categories for Contract Robotic Simulation Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Contract Robotic Simulation Engineer jobs?

Cities near Dallas, TX with the most Contract Robotic Simulation Engineer job openings:

Contract Robotic Simulation Engineer jobs near you

Manager, Simulation Engineering (R4870)

Shield AI

Dallas, TX • On-site

Full-time

Re-posted 26 days ago

Job description

Job Summary:
Shield AI is a venture-backed deep-tech company focused on protecting service members and civilians with intelligent systems. The VBAT Simulation Lead will be responsible for improving and scaling simulation capabilities for the V-BAT and future aircraft, managing a team of specialized simulation engineers, and collaborating with cross-functional teams to ensure accurate simulation of real-world conditions.
Responsibilities:
• 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.
Qualifications:
Required:
• 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:
• 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.
Company:
Shield AI is a deep-tech company that focuses on developing AI-powered systems to enhance the safety of service members and civilians. Founded in 2015, the company is headquartered in San Diego, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

Apply