Software Engineering Internship - #46916

ANYbotics is a fast-growing tech company dedicated to shaping the future of mobile robotics across multiple industries. Join our highly talented and motivated team of more than 190 people and work on cutting-edge robot technology. We are open to internships all year round and post regularly.

We’re always looking for passionate, curious, and motivated interns to join our mission.

This is your chance to collaborate with world-class experts, gain real-world experience, and make meaningful contributions in a fast-paced, interdisciplinary environment.

The Opportunity

We are looking for a 6-months intern to join our Spatial Intelligence (Perception) team and help shape how our robots perceive and interact with complex environments. In this role, your primary focus will be driving the evaluation, benchmarking, and integration of next-generation sensor technologies. You will play a key role in evolving our sensing stack, developing and integrating robust drivers in ROS2, and bridging the gap between hardware and software.

This is a highly hands-on opportunity where you won't just sit behind a screen; you will actively transition from writing clean code to building your own prototypes, handling the physical wiring, and testing your configurations in our local facilities. Alongside your core sensor initiative, you will assist the team with on-demand technical challenges, gaining broad exposure to a production-grade robotics pipeline.

You will work closely with experienced robotics experts who will provide dedicated guidance and mentorship throughout your journey. The preferred starting date is July or August 2026, and this full-time, paid internship lasts for six months.

The Market & Our Technology

ANYbotics transforms industrial plants in the energy, process, and utility sector by introducing robotics to a wide range of novel applications that so far were beyond reach. Our customers are large asset operators and industrial service providers pioneering the use of robotics technology for inspection and maintenance. Our mobile robot ANYmal uses legs for extreme mobility in complex environments, camera- and LIDAR-based sensing for full autonomy and obstacle avoidance, and AI for high-quality and consistent inspection results. We develop numerous customized hardware systems, including the entire robotic platform, actuators, sensors, inspection payloads, charging systems, and all related ANYbotics electrical hardware.

Your Contributions

• Drive the evaluation, benchmarking, and testing of state-of-the-art sensors (including vision, 3D/LiDAR, and acoustic technologies)
• Develop and integrate robust sensor drivers and communication interfaces within our ROS2 environment
• Deploy, test, and validate your software and hardware integrations directly on our physical robotic platforms in local testing facilities
• Analyze, troubleshoot, and improve our current sensing stack to enhance data quality, reliability, and pipeline efficiency
• Collaborate closely with other perception engineers, assisting with ad-hoc, on-demand technical tasks and contributing to daily problem-solving
  
  
  

Your Profile

• Currently pursuing or recently completed a degree (Bachelor's, Master's, or Ph.D.) in Robotics, Computer Science, Electrical/Mechanical Engineering, or a closely related field
• Solid programming proficiency in C++ (including CMake) and/or Python
• A proactive, hands-on mentality—you enjoy getting away from the screen to wire up sensors, debug hardware, and see your code run on physical robots
• Practical, hands-on experience working with ROS2 and a foundational understanding of robotic perception pipelines
• Highly self-coordinated and structured, with the ability to drive an independent project forward while maintaining open, proactive communication with the team
• Fluent in English (written and spoken)
  
  
  

Bonus Points

• Experience configuring or processing data from specific sensor modalities (e.g., depth cameras, LiDAR, ultrasonic, or acoustic sensors).
• Familiarity with containerization and deployment tools like Git and Docker
• Prior experience with hardware communication protocols (Ethernet, GMSL, Serial, CAN, etc.).
• Experience with practical hardware prototyping, such as 3D printing, basic electronics, or custom electrical wiring/crimping
• Familiarity with advanced perception software pipelines or algorithms (e.g., SLAM, point cloud processing, or object tracking)
  
  
  

Internship Details:

Start date: any time of the year and always on the 1st of the month

Duration: 6 months

Workload: 100% (Full time, Onsite)

Who can apply:

EU applicants for internships

The internship can be voluntary

A work permit is not required but the candidate needs a residence permit

Must be enrolled in a University

Non-EU applicants for internships:

Internship must be mandatory (supported by a letter from a university)

A work permit is required

Must reside in CH

Interested? Submit your application

We will contact you if your skills and experience are a good fit for the team and the role. Please note due to the high load of applications we will only contact those that are relevant. Thank you for your understanding.

What We Offer:

• Hands-on experience working on advanced locomotion software
• Mentorship from industry experts
• Opportunities to contribute to innovative projects
• A dynamic and collaborative work environment
• Potential for future full-time opportunities
  
  
  

We offer you a very exciting and dynamic work environment, the opportunity to become part of a fast-growing company and an ambitious team that is on a mission to change the industrial inspection market, a chance to leverage your experience and bring in your own ideas, a fair market salary, an attractive and fun environment in the city of Zurich.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.