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Overnight Robotics Software Engineer Jobs in Philadelphia, PA

Globusmedical

Senior Software Engineer

Audubon, PA

$123K - $162K/yr

Stays current with advancements in medical robotics, software engineering, and regulatory standards through continuous learning Deploying, maintaining and updating full stack aspects of software ...

Globus Medical

Senior Software Engineer

Audubon, PA · On-site

$123K - $162K/yr

... robotics, and planning technologies for neurosurgical applications. This individual will play a key role in the architecture, design, implementation, and verification of software supporting the ...

Globusmedical

Software Engineer

Audubon, PA

Stays current with advancements in medical robotics, software engineering, and regulatory standards through continuous learning * Deploying, maintaining and updating full stack aspects of software ...

Globus Medical

Software Engineer

Audubon, PA · On-site

Stays current with advancements in medical robotics, software engineering, and regulatory standards through continuous learning * Deploying, maintaining and updating full stack aspects of software ...

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All JobsRobotics Software Engineer JobsOvernight Robotics Software Engineer JobsOvernight Robotics Software Engineer Jobs in Philadelphia, PA

Overnight Robotics Software Engineer information

See Philadelphia, PA salary details

$60.5K

$125.7K

$180.6K

How much do overnight robotics software engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for overnight robotics software engineer in Philadelphia, PA is $125,655.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $153,400.00 per year, depending on experience, location, and employer.

What is an overnight robotics software engineer?

Overnight Robotics Software Engineers are professionals who develop, test, and maintain software for robotic systems during overnight shifts. Their work often involves monitoring robot performance, troubleshooting software issues, and deploying updates to ensure seamless operation when most staff are not present. These engineers may support industries like manufacturing, logistics, or warehousing, where robots operate 24/7. Working overnight allows them to address issues in real-time and minimize disruptions to daytime operations.

What skills and qualifications are needed to thrive as an overnight robotics software engineer?

To thrive as an Overnight Robotics Software Engineer, you need strong programming skills (often in C++, Python, or ROS), a solid background in robotics principles, and typically a degree in computer science, engineering, or a related field. Familiarity with robotics simulation tools, embedded systems, and version control platforms like Git is commonly required, along with experience in continuous integration systems. Excellent problem-solving abilities, attention to detail, and effective communication are critical soft skills, especially for solo or remote overnight work. These skills and qualities are vital to ensure reliable system performance, timely troubleshooting, and successful project collaboration during non-standard hours.

What are some unique challenges of working as an overnight robotics software engineer, and how can I prepare for them?

Working overnight as a Robotics Software Engineer often means handling critical updates, maintenance, and troubleshooting during off-peak hours when robots are running autonomously. A major challenge is responding quickly to unexpected issues with limited access to immediate in-person support. To prepare, it's helpful to familiarize yourself with robust remote collaboration tools, develop strong problem-solving skills, and maintain clear documentation for seamless handoffs with daytime teams. Staying organized and practicing proactive communication are key to ensuring smooth operations during overnight shifts.

What is the difference between Overnight Robotics Software Engineer vs Robotics Software Engineer?

AspectOvernight Robotics Software EngineerRobotics Software Engineer
Required CredentialsBachelor's in CS or Robotics, experience with robotics programmingBachelor's or higher in CS, Electrical Engineering, or Robotics
Work EnvironmentNight shifts, warehouse or manufacturing settingsDay shifts, labs, or office environments
Industry UsageLogistics, warehouse automation, manufacturingResearch, development, industrial automation

Overnight Robotics Software Engineers typically work night shifts in warehouse or manufacturing settings, focusing on automation systems during off-hours. Robotics Software Engineers often work during regular hours in labs or offices, involved in research or development projects. Both roles require similar technical skills but differ mainly in work hours and environment.

What are the most commonly searched types of Robotics Software Engineer jobs in Philadelphia, PA?

The most popular types of Robotics Software Engineer jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Overnight Robotics Software Engineer jobs?

Cities near Philadelphia, PA with the most Overnight Robotics Software Engineer job openings:

Overnight Robotics Software Engineer jobs near you

Robotics Software Engineer - Controls

The O'Connor Group TOG Inc.

Philadelphia, PA • On-site

$90K - $140K/yr

Full-time

Re-posted 9 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. 

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