# Robotic Software Intern/Co-op (Spring or Summer 2027) at Rugged Robotics

> United States · Intern · Other · open. Source: https://alderhq.app/jobs/greenhouse%3Aruggedrobotics%3A4730908005 (read 2026-11-05).

## Facts (observed)

- Company: [Rugged Robotics](https://alderhq.app/companies/rugged-robotics)
- Location text: Houston, TX; Headquarters
- Where it can be done from (inferred): United States (evidence: "Location: Houston, TX; Headquarters")
- Posted: 2026-10-08 (28 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/ruggedrobotics/jobs/4730908005
- Skills listed (inferred): Python, C++

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (Houston, n 9): p25 $31k, median $36k, p75 $43k

## Description (the employer's text)

Rugged Robotics is on a mission to empower the construction industry to build better by innovating new approaches to tough problems using automation. We are a fast-paced start-up environment where every employee takes on multiple roles and wears many hats. To help our customers to build better, we need to build the best team.

Join the dynamic software team at Rugged Robotics, where we bring cutting-edge automation to life for construction layout robots! As a Robotics Software Intern at a start-up, you'll tackle real-world challenges, enhance the performance of existing products, and help design groundbreaking solutions for the next generation of robotic systems. This is your chance to make a tangible impact and shape the future of robotics in construction!

Internship / Coop Term: Spring 2027 and/or Summer 2027

Location: Onsite in Houston, TX

### The Role

- Iteratively prototype and test software directly on hardware platforms in our labs and on our customer’s jobsites.
- Write the code that improves the speed, precision, and reliability of our current robotic platform by investigating, modifying and refining existing system kinematics, algorithms, and software features.
- Quickly generate prototypes and proof-of-concept algorithms while collaborating with team-members in the field to troubleshoot, diagnose, determine the root-cause, and implement solutions to issues discovered on deployment.
- Make informed & objective engineering decisions by creating simulations, methodically running experiments, and conducting analyses with a range of techniques.
### You Are

- Experienced working with software and electromechanical systems from a prior internship, extra-curricular project, or lab research.
- Knowledgeable with relevant areas of robotics & control such as kinematics, sensor fusion, path planning, perception, calibration algorithms, and firmware development.
- Comfortable with development on hardware systems including ROS, Python, C++ and familiar with common coding practices including revision control and CI/CM
- Hands-on with deploying code on physical hardware and root causing bugs related to mechanical, electrical, and software issues.
- Enthusiastic about learning new techniques & technologies and are comfortable working in a fast-paced environment.
Rugged Robotics is headquartered in Houston, TX in the vibrant neighborhood of East Downtown. This role requires close collaboration with teammates, and we value the interactions that come from working together around the robots in the lab.

Interested in Rugged Robotics but don't tick all the boxes? Don't see a role that meets your skills? Reach out, let us know how you think you can contribute to the team, and define your own position.

Rugged Robotics is an Equal Opportunity Employer, and we value diversity at our company. All qualified candidates will receive consideration regardless of race, color, religion, sex, sexual orientation, gender, identity, age, national origin, marital status, veteran status, disability status, or other protected legal status.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aruggedrobotics%3A4730908005 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.