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Director Robotic Simulation Engineer Jobs in Kansas

Perform other duties as assigned by the Director of Simulation. Qualifications: Required: * Associate or bachelor's degree in healthcare, biomedical engineering/technology, simulation technology, or ...

New

Support board bring-up, debugging, and signal analysis using lab instrumentation and simulation ... UAV, robotics, aerospace, or avionics experience. * Familiarity with IPC or avionics standards.

New

Support board bring-up, debugging, and signal analysis using lab instrumentation and simulation ... UAV, robotics, aerospace, or avionics experience. * Familiarity with IPC or avionics standards.

New

Robotic Brake Press Operator

Wathena, KS · On-site

$15.25 - $20/hr

Troubleshoots robot programming, resolves setup issues, and reports non-conforming parts or ... areas within direct control. * Other duties as assigned by the manager. Requirements WORK ...

Manufacturing Engineer

Wichita, KS · On-site

$65K - $84K/yr

Experience with CAD software and manufacturing simulation tools. * Familiarity with ERP/MRP systems ... CNC, automation, robotics, or equipment programming experience. Additional Information Work ...

Robotic Brake Press Operator

Wathena, KS · On-site

$15.25 - $20/hr

Troubleshoots robot programming, resolves setup issues, and reports non-conforming parts or ... direct control. * Other duties as assigned by the manager. Requirements: WORK ENVIRONMENT ...

Manufacturing Engineer

Wichita, KS

$65K - $84K/yr

Experience with CAD software and manufacturing simulation tools. * Familiarity with ERP/MRP systems ... CNC, automation, robotics, or equipment programming experience. Additional Information Work ...

$195K - $286K/yr

... engineering foundation: A Bachelor's or Master's degree in Machine Learning, Computer Vision, Robotics, or a related field, or equivalent industry experience; relevant hands-on experience in model ...

Manufacturing Engineer

Wichita, KS · On-site

$65K - $84K/yr

Develops, establishes, and guides requirements for assembly, tooling simulations, and manufacturing ... Ability to determine the preferred process, assist in developing the design concept and direct the ...

Manufacturing Engineer

Wichita, KS

$65K - $84K/yr

Develops, establishes, and guides requirements for assembly, tooling simulations, and manufacturing ... Ability to determine the preferred process, assist in developing the design concept and direct the ...

Manufacturing Engineer

Wichita, KS · On-site

$65K - $84K/yr

Develops, establishes, and guides requirements for assembly, tooling simulations, and manufacturing ... Ability to determine the preferred process, assist in developing the design concept and direct the ...

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Director Robotic Simulation Engineer information

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 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, and why are they important?

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.

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 the most commonly searched types of Robotic Simulation Engineer jobs in Kansas? The most popular types of Robotic Simulation Engineer jobs in Kansas are:
What are popular job titles related to Director Robotic Simulation Engineer jobs in Kansas? For Director Robotic Simulation Engineer jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Director Robotic Simulation Engineer jobs in Kansas look for? The top searched job categories for Director Robotic Simulation Engineer jobs in Kansas are:

Research Engineer - Machine Learning & Robotics

Jumio

Lenexa, KS

Other

Re-posted 2 days ago


Job description

Role Purpose

Jumio is looking for a Research Engineer with a foundation in machine learning, robotics, and data infrastructure to help build and scale the systems used for data collection, model development, and product improvement.

This role sits at the intersection of robotics, computer vision, and applied machine learning. You will work hands-on with robotic systems, ROS/ROS2-based modules, mobile data collection workflows, and ML pipelines that support training, evaluation, and production model performance. This is a strong opportunity for a new graduate or early-career engineer who wants to build practical systems that directly improve real-world AI products.

Role Value

High-quality data and reliable model evaluation infrastructure are critical to improving Jumio's machine learning and computer vision capabilities. This role helps ensure that data collected from robotic systems and mobile applications is usable, scalable, and connected to the broader model development lifecycle.

The Research Engineer will support both the robotics/data collection environment and the ML development workflow, helping the team move faster, improve model quality, and better understand model performance in production.

Example Responsibilities
  • Build and integrate ROS/ROS2-based modules to support robotic navigation, manipulation, and data collection workflows.
  • Replicate and integrate mobile and web UI environments into robotic testing and data collection systems.
  • Build, maintain, and improve training and test datasets collected through robotic manipulators and in-house iOS and Android applications.
  • Mine, query, and analyze data from internal databases to create features, identify trends, and generate insights that improve product and model development.
  • Develop tools and processes to monitor data quality, model performance, and model accuracy in production environments.
  • Implement end-to-end machine learning workflows, including data preparation, model training, testing, evaluation, and deployment support.
  • Write clean, modular, well-documented C++ and Python code that can be maintained and extended by other engineers.
  • Collaborate cross-functionally with machine learning, engineering, product, and research teams to improve data collection, model development, and system performance.
Required Experience
  • Bachelor's or Master's degree in Computer Science, Robotics, Electrical Engineering, Machine Learning, or a related technical field.
  • 1-2 years of relevant industry, internship, or research experience in machine learning, robotics, computer vision, or related technical areas.
  • Hands-on experience with ROS and/or ROS2, including building or integrating modules for robot navigation, manipulation, simulation, or data collection.
  • Strong foundation in machine learning fundamentals, with experience implementing models in Python using frameworks such as PyTorch, TensorFlow, scikit-learn, or similar.
  • Experience working with databases, writing queries, and building or maintaining data pipelines for training, testing, or evaluation.
  • Strong programming skills in Python and C++, with an emphasis on clean, reliable, well-documented code.
  • Ability to work hands-on with physical hardware, debug system behavior, and translate research or prototype work into scalable engineering solutions.
Nice to Have
  • Experience with robotic manipulators, mobile robot platforms, or lab-based robotic systems.
  • Familiarity with iOS and/or Android development, especially for hardware-integrated data collection applications.
  • Experience with data collection pipelines for computer vision, biometric systems, identity verification, or similar applied AI domains.
  • Exposure to production ML observability, model monitoring, drift detection, or data quality monitoring tools.
  • Familiarity with cloud platforms such as AWS, including S3, EC2, SageMaker, or similar tools for storage, compute, and model deployment.
  • Experience working in cross-functional environments with machine learning engineers, software engineers, researchers, and product teams.