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Simulation Software Engineer Internship Jobs in Pennsylvania

FPGA engineer (Internship). Granada, Spain

Bath, PA · On-site

$119K - $153K/yr

As an R&D engineer, you will be a key member of our Technology Exploration Unit team in Granada ... FPGA logic design and simulation (VHDL/Verilog) * Experience in embedded software development ...

S. Navy civilian software and systems engineers, support contractors, U.S. Navy ships force, OEMs ... internship, co-op, or academic project experience demonstrating proficiency in one or more of these ...

Software Engineer Lead Location : PA - Pittsburgh or OH - Strongsville Mode : 5 days on site ... Adaptive Decision Manager, Next Best Action Advisor, OPS Manager, Simulation, or Event Strategy ...

Electrical Engineer

Erie, PA · On-site

$80K - $120K/yr

... engineering principles, internships or academic project experience, and a eagerness to learn ... simulation software, and project management skills. * Excellent problem-solving abilities and ...

Showing results 41-60

Simulation Software Engineer Internship information

What does a simulation software engineer intern do?

A Simulation Software Engineer Intern assists in developing and testing software models that simulate real-world processes or systems. They typically work with experienced engineers to write code, debug simulations, and analyze results to ensure accuracy and efficiency. Interns may use tools such as MATLAB, Simulink, or Python, and contribute to projects in fields like automotive, aerospace, or robotics. The role helps interns gain hands-on experience in software engineering and simulation technologies, preparing them for future careers in the industry.

What types of projects or tasks can I expect to work on during a simulation software engineer internship?

As a Simulation Software Engineer Intern, you will typically contribute to developing, testing, and refining simulation models used for validating real-world systems or products. Your daily tasks may include coding simulation algorithms, analyzing performance data, debugging issues, and collaborating with engineers from other disciplines such as hardware, robotics, or product design. Interns often work closely with mentors, attend team meetings, and may have opportunities to present findings or improvements. This role provides hands-on experience with industry-standard simulation tools and fosters valuable teamwork and technical skills.

What are the key skills and qualifications needed to thrive as a simulation software engineer intern, and why are they important?

To thrive as a Simulation Software Engineer Intern, you need a strong foundation in programming languages (such as C++, Python, or MATLAB), mathematical modeling, and computer science principles, typically supported by ongoing or completed coursework in engineering or related fields. Familiarity with simulation tools (like Simulink or Modelica), version control systems (such as Git), and possibly exposure to CAD or physics engines is often required. Problem-solving abilities, attention to detail, teamwork, and effective communication are important soft skills for this role. These skills and qualities are crucial for accurately developing, testing, and refining simulation models within collaborative engineering environments.

What is the difference between Simulation Software Engineer Internship vs Simulation Software Engineer?

AspectSimulation Software Engineer InternshipSimulation Software Engineer
Required CredentialsCurrently pursuing or recently completed a relevant degree (e.g., Computer Science, Engineering)Bachelor's or Master's degree in a related field, with some roles preferring experience or certifications
Work EnvironmentInternship programs, often in corporate R&D or product teams, with mentorshipFull-time professional role in engineering teams, often in R&D or product development
Employer & Industry UsageUsed by tech companies, automotive, aerospace, and simulation firms for training and developmentEmployed in similar industries, focusing on developing and maintaining simulation software products

The main difference is that a Simulation Software Engineer Internship is a temporary, learning-focused position for students or recent graduates, while a Simulation Software Engineer is a full-time professional role requiring more experience and responsibility in developing simulation software.

What are the most commonly searched types of Simulation Software Engineer jobs in Pennsylvania?

The most popular types of Simulation Software Engineer jobs in Pennsylvania are:

What are popular job titles related to Simulation Software Engineer Internship jobs in Pennsylvania?

For Simulation Software Engineer Internship jobs in Pennsylvania, the most frequently searched job titles are:

What cities in Pennsylvania are hiring for Simulation Software Engineer Internship jobs?

Cities in Pennsylvania with the most Simulation Software Engineer Internship job openings:

Infographic showing various Simulation Software Engineer Internship job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Robotics Software Engineer - Controls

The O'Connor Group TOG Inc.

Philadelphia, PA

$90K - $140K/yr

Full-time

Re-posted 28 days ago


Job description

Description

 We are partnering with Ghost Robotics and have announced the search for a Robotics Software Engineer (Controls)

Description  
Ghost Robotics is a robotics company building autonomous systems that operate in complex, dynamic environments. Our perception stack enables our robots to understand, localize, and navigate the world in real time, and we place a strong emphasis on robustness, performance, and maintainable engineering.
We are seeking a Senior Controls Engineer to design, implement, and deploy cutting-edge control algorithms for dynamic legged robotic systems operating in complex real-world environments. You will work across dynamics, optimization, state estimation, and real-time software owning both algorithmic innovation and system-level performance on hardware.  
This role is ideal for engineers who thrive on high-velocity problem solving, deep technical ownership, and hands-on testing and validation. 

Responsibilities 

Design, implement, and validate advanced control architectures (e.g., model-based, optimization-based, learning-augmented controllers) for agility and robustness. 

Develop, maintain, and validate state estimation and sensor fusion pipelines (IMU, joint encoders, contact/force sensing). 

Lead gait generation, footstep planning, contact scheduling, and disturbance recovery tuning. 

Perform rigorous offline and real-time testing in simulation and hardware environments. 

Debug and analyze system performance using logs, visualization tools, hardware experiments, and fleet data. 

Build automated diagnostics, analysis scripts, and tools to improve robot reliability and field performance. 

Collaborate closely with mechanical, perception, embedded, and systems teams to ensure end-to-end performance and robustness. 

Write clean, maintainable, real-time-safe code in C++ and Python. 

Mentor junior engineers and contribute to long-term architectural decisions. 


 

 

Requirements

Requirements 

Required Qualifications 

Strong foundations in control theory (linear, nonlinear, optimal control) with experience in legged locomotion or other dynamic systems. 

Experience with multi-body dynamics, modeling, and simulation (e.g., MuJoCo, Gazebo, Isaac Sim, PyBullet). 

Hands-on experience deploying algorithms on physical robotic systems and debugging complex hardware/software interactions. 

Proficiency in modern C++ (C++17/20) and Python for development and tooling. 

Experience with Unix/Linux environments and software engineering best practices (version control, CI/CD). 

Masters/PhD in Robotics, Mechanical, Electrical, Aerospace Engineering or equivalent work experience. 

Preferred Qualifications 

Experience with legged or humanoid robots and real-world locomotion challenges. 

Background in whole-body control frameworks (operational space control, MPC, etc.). 

Familiarity with state estimation methodologies (EKF, factor graphs, UKF). 

Experience architecting data analysis pipelines and automated diagnostic systems. 

Publications or significant open-source contributions in robotics, controls, or estimation. 

Experience with ROS 2 and real-time middleware. 

A combination of classical control and reinforcement learning applied to robotic systems. 

Demonstrated ability to lead technical efforts and mentor junior engineers.Â