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Robot Framework Python Jobs in Pennsylvania (NOW HIRING)

Senior Robotics AI Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

... and optimize AI systems for robot perception and navigation in various environments ... in Python and C++. • Experience using ML frameworks like TensorFlow, PyTorch, or similar. • ...

Senior Robotics AI Engineer

Philadelphia, PA · On-site

$99K - $137K/yr

... intelligence behind robot perception and navigation, focusing on the development and ... in Python and C++. • Experience using ML frameworks like TensorFlow, PyTorch, or similar. • ...

Experience with ROS or similar robotics development frameworks. * Experience with Vue3 and TypeScript for writing frontend web applications. * Experience with Docker, Protobuf, Python, Terraform, and ...

Robotics Software Engineer

Pittsburgh, PA · On-site

$174K - $222K/yr

Experience with ROS or similar robotics development frameworks. * Experience with Vue3 and TypeScript for writing frontend web applications. * Experience with Docker, Protobuf, Python, Terraform, and ...

Software Engineer - Cloud

Pittsburgh, PA · On-site

$58.25 - $75.75/hr

Who We Are Carnegie Robotics designs and manufactures advanced robotics systems and components for ... Frameworks & Languages: Experience with FastAPI (a big plus), or other Python frameworks like Flask ...

Showing results 21-40

Robot Framework Python information

What is the difference between Robot Framework Python vs Test Automation Engineer?

AspectRobot Framework PythonTest Automation Engineer
Required SkillsPython, test automation, scriptingProgramming, testing, automation tools
Work EnvironmentAutomation testing, QA teamsSoftware development, QA teams
Industry UsageTest automation, QA projectsSoftware testing, quality assurance
CertificationsPython certifications, testing tools

Robot Framework Python is a test automation framework utilizing Python for scripting, mainly used for automating tests in QA teams. Test Automation Engineers design and implement automated tests, often using frameworks like Robot Framework Python. While both roles involve automation and testing skills, Robot Framework Python focuses on scripting within a specific framework, whereas Test Automation Engineers may work with multiple tools and programming languages to develop comprehensive testing solutions.

Is the Robot Framework in demand?

Robot Framework Python developers are increasingly in demand as automation and testing become more integral to software development. Skills in Python, test automation, and familiarity with the Robot Framework are valuable in industries seeking efficient quality assurance processes.

What are popular job titles related to Robot Framework Python jobs in Pennsylvania?

For Robot Framework Python jobs in Pennsylvania, the most frequently searched job titles are:

Robotics Software Engineer - Controls

The O'Connor Group TOG Inc.

Philadelphia, PA • On-site

$90K - $140K/yr

Full-time

Re-posted 25 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.