Senior Software Engineer - Robot Platform
Zurich
Applications have closed
RIVR
Discover RIVR's innovative Physical AI solutions revolutionizing last-mile delivery. Our autonomous robots ensure faster, safer, and sustainable deliveries of parcels, groceries, and meals
RIVR is a Swiss robotics company pioneering Physical AI and robotic solutions to revolutionize last-mile delivery, giving 1 human the power of 1000. Through the combination of artificial neural networks and innovative robot designs with wheels and legs, RIVR aims to enhance efficiency, sustainability, and scalability in last-mile delivery. Founded as Swiss-Mile, the company rebranded to RIVR in 2025 to better reflect its mission of driving the future of intelligent robotics.
As a Senior Software Engineer for the Robot Platform, you will be a key player in the design, development, and integration of our robotic platform. Besides collaborating with all software and AI engineers, your role will involve working closely with Embedded Systems to ensure proper interfacing between software and hardware, DevOps to ensure seamless software integration and deployment, and with Field Engineering to support the real-world deployment of our robotic systems. You will learn the ins and outs of the software deployed in simulation and on hardware, and your expertise will ensure the reliability, scalability, and performance of our robotic platforms. If you are passionate about robotics and driven to innovate real-world deployments of robots, we encourage you to join us in shaping the future of intelligent robotics.
We believe the best work is done when collaborating and therefore require in-person presence in our office locations.
As a Senior Software Engineer for the Robot Platform, you will be a key player in the design, development, and integration of our robotic platform. Besides collaborating with all software and AI engineers, your role will involve working closely with Embedded Systems to ensure proper interfacing between software and hardware, DevOps to ensure seamless software integration and deployment, and with Field Engineering to support the real-world deployment of our robotic systems. You will learn the ins and outs of the software deployed in simulation and on hardware, and your expertise will ensure the reliability, scalability, and performance of our robotic platforms. If you are passionate about robotics and driven to innovate real-world deployments of robots, we encourage you to join us in shaping the future of intelligent robotics.
What you’ll be doing
- Lead the integration of the software stack for the robot, including simulation and real-world hardware, and collaborate with the experts of the different substacks (AI-driven autonomy, SLAM, computer vision, manipulations, etc).
- Collaborate with the Embedded Systems team to ensure proper interfacing between platform software and hardware drivers.
- Implement deployment-ready code for the real robot, optimized for the robot’s computational constraints.
- Work closely with the DevOps team to integrate platform development into CI/CD pipelines, ensuring efficient build, test, and deployment processes.
- Develop and execute comprehensive test plans to validate platform performance, reliability, and safety. Conduct platform-level testing, including simulation, hardware-in-the-loop (HIL) testing, and real-world scenarios.
- Provide technical guidance to the Field Engineering team for platform deployment, troubleshooting, and maintenance.
- Build, lead and mentor an exceptional team of software engineers.
- Provide expert guidance to product managers and executives for strategic decision-making.
- Create and maintain documentation, guidelines, and best practices to streamline knowledge sharing.
What you must have
- Bachelor’s degree or higher in a relevant field such as Robotics, Engineering, Computer Science or a similar discipline.
- A minimum of five years of industry or research experience, with PhD experience applicable.
- Strong background in robotics or autonomous driving, with expertise across the full stack—encompassing sensors, perception, mapping, localization, navigation, control, and deep learning algorithms.
- Experience with deploying software on hardware platforms.
- Ability to write production-level code in modern C++.
- Ability to prototype algorithms in Python.
- Experience with ROS (Robot Operating System).
- Strong knowledge in Linux and how to set up and configure systems leveraging multiple PCs.
Get some bonus points
- PhD or Master’s degree in Robotics, Engineering, Computer Science or a similar discipline, or an equivalent amount of industry experience.
- Experience with autonomous robots, cars or other vehicles.
- Experience in managing a software team.
We believe the best work is done when collaborating and therefore require in-person presence in our office locations.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Autonomous Driving CI/CD Computer Science Computer Vision Deep Learning DevOps Engineering Linux PhD Pipelines Python Research Robotics SLAM Testing
Region:
Europe
Country:
Switzerland
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