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Manager Robotics Simulator Jobs in Indiana (NOW HIRING)

... simulation, test, and integration. The role requires strong communication skills, effective ... robotics, or intelligent control • Familiarity with reinforcement learning, planning algorithms ...

Agentic AI Engineer (T02)

Indianapolis, IN · On-site

$99K - $133K/yr

... simulation, test, and integration. The role requires strong communication skills, effective ... robotics, or intelligent control • Familiarity with reinforcement learning, planning algorithms ...

Sr. Mechanical Engineer

Richmond, IN · On-site

$93K - $123K/yr

Our people love their hobbies; from building cars, tractors, firearms, and robots to marksmanship ... Engage in design confirmation activities, including simulations, FEA & animations * Modify designs ...

At The PAC Group (PAC), we specialize in engineering consulting, program management, and ... Whether we're launching advanced manufacturing systems, deploying digital simulation tools, or ...

At The PAC Group (PAC), we specialize in engineering consulting, program management, and ... Whether we're launching advanced manufacturing systems, deploying digital simulation tools, or ...

Sr. Security Operations Analyst

Carmel, IN · On-site

$90K - $118K/yr

... and robotics, Microsoft solutions, and IT managed services, we bring more than 20 years of ... Experience with phishing simulations, security awareness campaigns, and related communications

Sr. Security Operations Analyst

Carmel, IN · On-site

$90K - $118K/yr

... and robotics, Microsoft solutions, and IT managed services, we bring more than 20 years of ... Experience with phishing simulations, security awareness campaigns, and related communications

... and robotics, Microsoft solutions, and IT managed services, we bring more than 20 years of ... Experience with phishing simulations, security awareness campaigns, and related communications

Showing results 21-40

Manager Robotics Simulator information

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 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 are popular job titles related to Manager Robotics Simulator jobs in Indiana?

For Manager Robotics Simulator jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Manager Robotics Simulator jobs in Indiana look for?

The top searched job categories for Manager Robotics Simulator jobs in Indiana are:

What cities in Indiana are hiring for Manager Robotics Simulator jobs?

Cities in Indiana with the most Manager Robotics Simulator job openings:

Infographic showing various Manager Robotics Simulator job openings in Indiana as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Principal Agentic AI Engineer (T5)

Indianapolis, IN • On-site

V2X
Guided Missile and Space Vehicle Manufacturing • 10K+ employees

Full-time

Medical, Life, Retirement, PTO

Posted 21 days ago


V2X rating

8.8

Company rating: 8.8 out of 10

Based on 44 frontline employees who took The Breakroom Quiz


Job description

Overview

Working across the globe, V2X builds smart solutions designed to integrate physical and digital infrastructure from base to battlefield. We bring 120 years of successful mission support to improve security, streamline logistics, and enhance readiness. Aligned around a shared purpose, our $3.9B company and 16,000 people work alongside our clients, here and abroad, to tackle their most complex challenges with integrity, respect, responsibility, and professionalism.


Responsibilities

V2X is seeking an accomplished Principal Agentic AI Engineer (T05) to join our Software Department in Indianapolis, Indiana.

 
The ideal candidate embraces modern AIdriven development processes and engineering techniques that accelerate capability delivery, improve mission effectiveness, and enhance team productivity. They have experience designing, building, and integrating advanced agentic systems, including autonomous decision-support frameworks, intelligent mission planning tools, adaptive control systems, multisensor fusion pipelines, and AI-enabled situational awareness technologies. We are looking for engineers who enjoy tackling complex, emerging challenges and have a passion for supporting our DoD customers and international partners.
The Principal Agentic AI Engineer provides technical leadership across the full system development lifecycle, from conceptual architecture and requirements definition through model development, agentic workflow design, simulation, verification, validation, and final deployment. The role requires strong communication skills, collaborative problemsolving, and the ability to translate complex mission needs into practical, advanced AI solutions.

Qualifications

Education Requirements:

  • Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related STEM field.

Required Skills:

  • Must be a U.S. Citizen with the ability to obtain a DoD Secret Clearance
  • At least 12 years of related engineering experience in systems, software, or hardware engineering.
  • Deep expertise in designing and implementing agentic AI architectures and autonomous decision-making systems
  • Strong proficiency in modern machine learning techniques, including model development, evaluation, and optimization
  • Experience building reasoning, planning, and multi-step workflow automation using AI agents
  • Ability to design and evaluate autonomous behaviors, control logic, and adaptive system responses
  • Skilled in developing scalable AI pipelines, simulation frameworks, and experimentation environments
  • Strong understanding of safety, reliability, and assurance considerations for AI-driven systems
  • Proficiency with Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX, LangChain-style orchestration)
  • Ability to translate mission objectives and operational constraints into technical system requirements
  • Experience with data engineering practices including preprocessing, feature extraction, and sensor/mission data handling
  • Strong analytical problem-solving skills and ability to lead complex technical efforts
  • Excellent communication skills for describing AI system behavior, trade-offs, and technical decisions to diverse stakeholders
  • Familiarity with distributed systems, cloud platforms, or edge compute environments for model deployment
  • Ability to guide junior engineers, provide technical mentorship, and set engineering direction
 
Desired Skills:
 
  • Experience developing multi-agent systems or orchestrating large-scale agentic workflows
  • Background in autonomous systems engineering, robotics, or intelligent control
  • Familiarity with reinforcement learning, planning algorithms, or neuro-symbolic techniques
  • Knowledge of mission data pipelines, sensor fusion, or realtime decision-support systems
  • Experience with high-assurance or safety-critical AI development practices
    Proficiency in designing AI evaluation frameworks, synthetic data generation, or simulation-based testing
  • Understanding of humanmachine teaming concepts and explainable AI practices
  • Experience deploying AI models on edge compute platforms or constrained environments
  • Familiarity with model governance, ML Ops, or lifecycle management tools
  • Prior DoD, aerospace, or defense industry experience supporting mission-driven AI solutions
  • Ability to contribute to technical roadmaps, architecture definitions, and long-term AI strategy

Security Clearance and Other Requirements

Ability to access systems with information restricted to U.S. citizens as required by federal contract guidelines.

Eligibility to obtain and maintain a U.S. Department of Defense (DoD) security clearance may be required for certain projects.

#LI-CB2

#clearance

Benefits include the following:

  • Healthcare coverage
  • Retirement plan
  • Life insurance, AD&D, and disability benefits
  • Wellness programs
  • Paid time off, including holidays
  • Learning and Development resources
  • Employee assistance resources

Pay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.

Qualifications:

Education Requirements:

  • Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or a related STEM field.

Required Skills:

  • Must be a U.S. Citizen with the ability to obtain a DoD Secret Clearance
  • At least 12 years of related engineering experience in systems, software, or hardware engineering.
  • Deep expertise in designing and implementing agentic AI architectures and autonomous decision-making systems
  • Strong proficiency in modern machine learning techniques, including model development, evaluation, and optimization
  • Experience building reasoning, planning, and multi-step workflow automation using AI agents
  • Ability to design and evaluate autonomous behaviors, control logic, and adaptive system responses
  • Skilled in developing scalable AI pipelines, simulation frameworks, and experimentation environments
  • Strong understanding of safety, reliability, and assurance considerations for AI-driven systems
  • Proficiency with Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, JAX, LangChain-style orchestration)
  • Ability to translate mission objectives and operational constraints into technical system requirements
  • Experience with data engineering practices including preprocessing, feature extraction, and sensor/mission data handling
  • Strong analytical problem-solving skills and ability to lead complex technical efforts
  • Excellent communication skills for describing AI system behavior, trade-offs, and technical decisions to diverse stakeholders
  • Familiarity with distributed systems, cloud platforms, or edge compute environments for model deployment
  • Ability to guide junior engineers, provide technical mentorship, and set engineering direction
 
Desired Skills:
 
  • Experience developing multi-agent systems or orchestrating large-scale agentic workflows
  • Background in autonomous systems engineering, robotics, or intelligent control
  • Familiarity with reinforcement learning, planning algorithms, or neuro-symbolic techniques
  • Knowledge of mission data pipelines, sensor fusion, or realtime decision-support systems
  • Experience with high-assurance or safety-critical AI development practices
    Proficiency in designing AI evaluation frameworks, synthetic data generation, or simulation-based testing
  • Understanding of humanmachine teaming concepts and explainable AI practices
  • Experience deploying AI models on edge compute platforms or constrained environments
  • Familiarity with model governance, ML Ops, or lifecycle management tools
  • Prior DoD, aerospace, or defense industry experience supporting mission-driven AI solutions
  • Ability to contribute to technical roadmaps, architecture definitions, and long-term AI strategy

Security Clearance and Other Requirements

Ability to access systems with information restricted to U.S. citizens as required by federal contract guidelines.

Eligibility to obtain and maintain a U.S. Department of Defense (DoD) security clearance may be required for certain projects.

#LI-CB2

#clearance

Benefits include the following:

  • Healthcare coverage
  • Retirement plan
  • Life insurance, AD&D, and disability benefits
  • Wellness programs
  • Paid time off, including holidays
  • Learning and Development resources
  • Employee assistance resources

Pay and benefits are subject to change at any time and may be modified at the discretion of the company, consistent with the terms of any applicable compensation or benefit plans.

At V2X, we are deeply committed to both equal employment opportunity, including protection for Veterans and individuals with disabilities, and fostering an inclusive and diverse workplace. We ensure all individuals are treated with fairness, respect, and dignity, recognizing the strength that comes from a workforce rich in diverse experiences, perspectives, and skills. This commitment, aligned with our core Vision and Values of Integrity, Respect, and Responsibility, allows us to leverage differences, encourage innovation, and expand our success in the global marketplace, ultimately enabling us to best serve our clients.

Education:UNAVAILABLEEmployment Type: FULL_TIME

What V2X employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About V2X

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1945