Senior Software Engineer - Robot Platform
Zurich
Swiss-Mile
We collect insights and ease labor by connecting AI with the physical world using autonomous machines.
Swiss-Mile Robotics AG is a deep-tech startup that connects AI with the physical world through autonomous wheeled-legged robots. These robots are designed to revolutionize monitoring, security, logistics applications, and beyond. Backed by leading global venture capitalists, we are on a mission to enhance our team with world-class talent. Join our innovative team, renowned for pioneering robotic design and neural network applications in robotics that improve environmental understanding and decision-making. With a robust research foundation and notable contributions from ETH Zurich, we are leaders in translating artificial intelligence and robotics into practical, real-world applications.
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.
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.
* 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 Security SLAM Testing
Perks/benefits: Startup environment
Region:
Europe
Country:
Switzerland
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