Jobs in Germany

Engineering Manager - Software/Cloud

Rivr

Location: Zürich

RIVR, part of Amazon is a robotics company pioneering Physical AI through real-world doorstep delivery. Founded in 2024 as an ETH Zurich spin-off, RIVR developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn from rich operational data at scale.

Following our acquisition by Amazon in March 2026, we are continuing this mission with greater reach and speed. By combining custom robot hardware, onboard autonomy, and cloud-based coordination, RIVR, part of Amazon is building the next generation of safe, reliable autonomous robots for last-mile delivery


Job Description

Following our acquisition by Amazon in March 2026, RIVR is accelerating its mission to build the next generation of safe, reliable autonomous robots for last-mile delivery. As an Engineering Manager for our Fleet & Cloud Systems team, you will grow and lead a high-performing squad of backend and infrastructure engineers building the server-side brains of our robotics platform.

You will drive the definition of the Cloud team roadmap, with the mission to support the needs of a robotic fleet at scale across its software development lifecycle. Your team will build the machine learning workflows that train the robot’s models. They will build infrastructure to provision and deploy robots at scale, with utmost attention to business continuity. Finally, they’ll build tools to streamline field operations, including observability, AI-assisted triaging and root cause analysis, predictive maintenance.

You will operate in a novel space, interacting with stakeholders from vastly different backgrounds. You will establish deep relationships with them and ensure your roadmap fits and anticipates their needs.


What you’ll be doing
  • Lead, mentor, and grow a team of 5–8 DevOps, backend and full-stack engineers, conducting regular 1-on-1s, managing performance, and fostering a culture of high ownership, psychological safety, and candid feedback.

  • Partner closely with other teams to design seamless, end-to-end features for robot operations and real-world delivery experiences.

  • Collaborate with the bigger software org to structure projects, align timelines and adjust execution.

  • Represent your team in technical and product discussions with Senior and Principal stakeholders.

  • Own the team’s sprint planning, backlog grooming, and roadmap execution, while protecting your team from distractions, removing blockers proactively, and ensuring the steady velocity of high-quality software features.

  • Be closely connected with the technology in your team, use your judgement to evaluate technical decisions and short-long term tradeoffs. 

  • Raise the bar for system availability, latency, and observability, while overseeing the team’s on-call rotations, running post-mortems for production incidents, and continuously improving CI/CD pipelines.

  • Maintain a business-oriented mindset, translating complex logistical and operational requirements into concrete, scalable technical milestones that deliver immediate value to the field.


  • What you must have
  • 4+ years of experience formally leading engineering teams, managing sprints, and coaching developers.

  • 7+ years of professional experience building and operating large-scale backend systems in a Service-Oriented Architecture (SOA) or microservices context.

  • Proven experience architecting solutions on AWS.

  • Proven experience operating a complex SOA architecture at scale. Deep familiarity with failure modes in distributed systems and mechanisms to reduce the blast radius of outages and regressions.

  • Experience with building and operating ML training infrastructure, integrating it in the SDLC. Experience with handling sensitive data and ensuring its safety and compliance.

  • Proven ability to delegate and grow, yet remain connected to the technology details.

  • Strong judgement: you identify and call-out one-way doors, you can independently check Senior Engineers’ assumptions and designs, you anticipate the impact and future cost of shortcuts and weight them against your immediate priorities.

  • A deep sense of Ownership, a relentless drive to Earn Trust, and a passion for Developing the Best talent.

  • Exceptional communication skills, with the ability to articulate complex technical ideas clearly to both technical teams and non-technical stakeholders.


  • Get some bonus points
  • Exposure to cloud services communicating with physical edge devices such as robots.

  • Background in robotics, IoT, fleet management, or real-time data streaming systems.

  • Familiarity with observability tools (OTLP, Grafana, Prometheus) optimized for physical devices experiencing intermittent connectivity.

  • Experience with Security topics in the context of cloud systems.

  • Experience navigating organizational growth or integrating startup systems into large enterprise environments.

  • RIVR, part of Amazon is committed to building a diverse and inclusive team that values every perspective. If you’re passionate about driving innovation in robotics and creating meaningful impact, we encourage you to apply and bring your unique self to our team.
     
    We believe the best work is done when collaborating and therefore require in-person presence in our office locations.

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    Software
    View Job

    Published: September 27, 2026

    Electronics Engineer (Senior)

    Rivr

    Location: Zürich

    RIVR, part of Amazon is a robotics company pioneering Physical AI through real-world doorstep delivery. Founded in 2024 as an ETH Zurich spin-off, RIVR developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn from rich operational data at scale.

    Following our acquisition by Amazon in March 2026, we are continuing this mission with greater reach and speed. By combining custom robot hardware, onboard autonomy, and cloud-based coordination, RIVR, part of Amazon is building the next generation of safe, reliable autonomous robots for last-mile delivery


    Job Description
     
    As a Senior Electronics Engineer, you will spearhead the design, development, and testing of our robots' custom electronics. Your expertise will encompass power electronics (battery management system, motor drivers), digital electronics (PCBA design, edge computing, microprocessor boards) firmware, communication protocols, and interfaces, ensuring that our robots not only meet specific application requirements but are also scalable and cost-effective for mass production. We value candidates with a proven track record of transitioning projects from prototyping and proof-of-concepts to MVPs, full products, and ultimately, mass production. If you are driven to innovate in robotic design, we invite you to join our team and help shape the future of intelligent robotics.

    What you’ll be doing
  • Design and develop printed circuit board assemblies (PCBAs) specifically tailored for robotic applications, including power electronics, firmware, communication protocols, and interfaces.
  • Build and test prototypes to evaluate functionality and performance.
  • Collaborate closely with hardware, software, and embedded system engineers to seamlessly integrate hardware components with software systems.
  • Perform rigorous testing and evaluations to verify the reliability, durability, and safety of robotic hardware.
  • Create detailed electronics documentation, including specifications, assembly instructions, and testing protocols.
  • Build, lead and mentor an exceptional team of electronics 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.
  • Improve design standards and processes through active participation in design reviews.

  • What you must have
  • Master’s degree or higher in a relevant field such as Engineering, Robotics, Automotive or Aerospace.
  • A minimum of five years of industry or research experience, with PhD experience applicable.
  • Extensive experience in PCB design and firmware development.
  • Proficient in using PCB design software such as Altium, Eagle, and KiCad, along with simulation software like SPICE.
  • Skilled in utilizing electronics instrumentation for debugging.
  • Knowledgeable in control systems and the electronics/firmware utilized in robotics or related fields.
  • Experienced with control systems applicable to consumer electronics, avionics, and the automotive industry.
  • Strong problem-solving skills, adept at debugging and optimizing hardware components.
  • Demonstrated leadership in managing teams, contractors, and relationships with OEMs/ODMs.

  • Get some bonus points
  • PhD degree in Engineering, Robotics, Automotive, Aerospace or a similar discipline, or an equivalent amount of research experience.
  • Familiarity with design for mass production.
  • Experience in the robotic, automotive, aerospace, medical, and consumer electronics sector.
  • Experience in managing a hardware team.
  • RIVR, part of Amazon is committed to building a diverse and inclusive team that values every perspective. If you’re passionate about driving innovation in robotics and creating meaningful impact, we encourage you to apply and bring your unique self to our team.
     
    We believe the best work is done when collaborating and therefore require in-person presence in our office locations.

    Find more English Speaking Jobs in Switzerland on Arbeitnow

    Hardware
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    Published: September 27, 2026

    AI Intern – Vision-Language-Action (VLA) & Data

    Rivr

    Location: Zürich

    RIVR, part of Amazon is a robotics company pioneering Physical AI through real-world doorstep delivery. Founded in 2024 as an ETH Zurich spin-off, RIVR, part of Amazon developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn from rich operational data at scale.

    Following our acquisition by Amazon in March 2026, we are continuing this mission with greater reach and speed. By combining custom robot hardware, onboard autonomy, and cloud-based coordination, RIVR, part of Amazon is building the next generation of safe, reliable autonomous robots for last-mile delivery.

    Important Notice: For this position, we can unfortunately only accept applications from citizens of Schengen Area countries. This restriction does not apply to ETHZ and EPFL students who are required to complete compulsory internships as part of their studies.

    Job Description

    As an AI Intern - VLA & Data, you will assist the AI engineering team in developing data pipelines and training Vision-Language-Action (VLA) models for robotic systems. In this role, you will sit at the intersection of data engineering and model training, assisting the team in solving the "data bottleneck" in embodied AI. Additionally, your responsibilities will include building tools to analyze datasets, visualize model predictions, and debug performance. You will work closely with senior engineers to understand, curate, and visualize the massive amounts of multi-modal data our fleet generates. This role offers hands-on experience within a dynamic and collaborative environment. We are committed to finding and nurturing exceptional talent; our internships are a key pathway to recruiting outstanding graduates who can make a significant impact in our team.


    What you’ll be doing
  • Support the team in processing, curating, and analyzing multi-modal sensor data for training VLA models.

  • Get hands-on experience with state-of-the-art VLA models.

  • Assist in developing software tools to visualize data and debug model performance.

  • Work closely with senior engineers to implement data strategies that improve the robustness of our robotic systems.

  • Help integrate software components to evaluate algorithms in simulation and on hardware.

  • Engage in continuous learning and gain exposure to recent developments in VLA, self-supervised learning, and generative AI.


  • What you must have
  • At least BSc in Computer Science, Robotics, Machine Learning, or a related field.

  • Proficiency in Python and experience with deep learning frameworks (preferably PyTorch).

  • Hands-on experience (either through coursework, previous internships, or other projects) with deep learning for computer vision.

  • Familiarity with data manipulation libraries (e.g., NumPy, Pandas, OpenCV).

  • Strong problem-solving skills and an eagerness to work with complex, real-world data.

  • Eagerness to learn and contribute in a collaborative team environment.


  • Get some bonus points
  • An MSc or ongoing PhD in a related field.

  • Previous experience working with large-scale image or video datasets.

  • Knowledge or experience with transformers, Vision-Language Models and/or VLA’s.

  • Experience with 3D geometry, camera projections, or sensor fusion.

  • Experience working with robotic systems

  • Experience in motion/action prediction in robotics context.

  • RIVR, part of Amazon is committed to building a diverse and inclusive team that values every perspective. If you’re passionate about driving innovation in robotics and creating meaningful impact, we encourage you to apply and bring your unique self to our team.
     
    We believe the best work is done when collaborating and therefore require in-person presence in our office locations.

    Find more English Speaking Jobs in Switzerland on Arbeitnow

    Embodied AI
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    Published: September 27, 2026

    AI Engineer - Reinforcement Learning (Senior)

    Rivr

    Location: Zürich

    RIVR, part of Amazon is a robotics company pioneering Physical AI through real-world doorstep delivery. Founded in 2024 as an ETH Zurich spin-off, RIVR developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn from rich operational data at scale.

    Following our acquisition by Amazon in March 2026, we are continuing this mission with greater reach and speed. By combining custom robot hardware, onboard autonomy, and cloud-based coordination, RIVR, part of Amazon is building the next generation of safe, reliable autonomous robots for last-mile delivery


    Job Description
     
    Reinforcement learning is transforming our robotic intelligence, enabling autonomous behavior without human guidance. We are seeking a Senior AI Engineer with deep expertise in reinforcement learning and deep learning, including supervised and self-supervised learning, to lead our engineering team. Your role will involve leveraging both simulated and real-world data to address practical challenges. If you are passionate about advancing AI and developing innovative solutions, join us in shaping the future of intelligent robotics.

    What you’ll be doing
  • Develop cutting-edge reinforcement learning algorithms to enable robots to autonomously execute motor commands based on raw sensor input.
  • Design, test, and refine your algorithms to meet the demands of complex real-world locomotion, autonomy and manipulation tasks.
  • Collaborate with the computer vision and imitation learning team to innovate methods that leverage both simulated and real-world data.
  • Implement deployment-ready code for the real robot, optimized for the robot’s computational constraints.
  • 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
  • Master’s degree or higher in a relevant field such as Engineering, Robotics, or Machine Learning.
  • A minimum of five years of industry or research experience, with PhD experience applicable.
  • Strong deep learning fundamentals, including supervised and self-supervised learning techniques, and reinforcement learning, including Markov Decision Processes (MDPs), neural network architectures, policy optimization algorithms, model-based vs. model-free RL, exploration-exploitation strategies, value function methods, transfer learning, domain adaptation, sim-to-real transfer, etc.
  • Strong background in robotics including autonomy and/or manipulation.
  • Experience with deploying artificial neural networks on hardware platforms.
  • Ability to write production-level code in modern C++.
  • Ability to prototype algorithms and train deep neural networks in Python.

  • Get some bonus points
  • PhD degree in Robotics, Engineering, Computer Science, Machine Learning or a similar discipline, or an equivalent amount of research experience.
  • Publications at top-tier conferences.
  • Experience in managing a software team.
  • RIVR, part of Amazon is committed to building a diverse and inclusive team that values every perspective. If you’re passionate about driving innovation in robotics and creating meaningful impact, we encourage you to apply and bring your unique self to our team.
     
    We believe the best work is done when collaborating and therefore require in-person presence in our office locations.

    Find Jobs in Switzerland on Arbeitnow

    Embodied AI
    View Job

    Published: September 27, 2026

    AI Engineer - Imitation Learning (Senior)

    Rivr

    Location: Zürich

    RIVR, part of Amazon is a robotics company pioneering Physical AI through real-world doorstep delivery. Founded in 2024 as an ETH Zurich spin-off, RIVR developed wheeled-legged robots designed to operate in complex, unstructured environments such as stairs, gates, doors, and uneven urban terrain. We believe that achieving general physical intelligence requires solving real customer problems in the real world, where robots can learn from rich operational data at scale.

    Following our acquisition by Amazon in March 2026, we are continuing this mission with greater reach and speed. By combining custom robot hardware, onboard autonomy, and cloud-based coordination, RIVR, part of Amazon is building the next generation of safe, reliable autonomous robots for last-mile delivery


    Job Description 
     
    Imitation learning enables our robot to mimic "expert" behaviors, derived from human demonstrations or algorithmic strategies. By utilizing state-of-the-art generative AI and similar methods, our wheeled-legged robot can significantly enhance its autonomy and manipulation skills. In this role, you will enable robots to autonomously generate actions from demonstrations and real-time sensor data. These processes may also incorporate responses to natural language commands, further advancing the robot's skills. We are seeking an expert in imitation learning and generative AI techniques that directly produce robot behaviors, along with a deep knowledge of both supervised and self-supervised learning algorithms. If you are passionate about pushing the boundaries of AI and eager to deliver innovative solutions, we invite you to join us in shaping the future of intelligent robotics.

    What you’ll be doing
  • Develop cutting-edge imitation learning algorithms, such as diffusion policies, to enable robots to autonomously execute actions based on demonstrations and real-time sensor data.
  • Design, test, and refine your algorithms to meet the demands of complex real-world autonomy and manipulation tasks.
  • Construct a dataset for the imitation learning algorithm using human demonstrations or automated expert algorithms.
  • Streamline the workflow to efficiently expand the imitation learning dataset with new tasks.
  • Collaborate with the reinforcement learning team to innovate methods that leverage both simulated and real-world data.
  • Implement deployment-ready code for the real robot, optimized for the robot’s computational constraints.
  • 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
  • Master’s degree or higher in a relevant field such as Engineering, Robotics, or Machine Learning.
  • A minimum of three years of industry or research experience, with PhD experience applicable.
  • Strong deep learning fundamentals including supervised learning, self-supervised learning, neural network architectures, policy optimization algorithms, imitation learning, and generative AI techniques, including Diffusion Models such as DALL-E 2 and Stable Diffusion, as well as Diffusion Policy.
  • Strong background in robotics including autonomy and manipulation.
  • Experience with deploying artificial neural networks on hardware platforms.
  • Ability to write production-level code in modern C++.
  • Ability to prototype algorithms and train deep neural networks in Python.

  • Get some bonus points
  • PhD degree in Robotics, Engineering, Computer Science, Machine Learning or a similar discipline, or an equivalent amount of research experience.
  • Publications at top-tier conferences.
  • Experience in managing a software team.
  • RIVR, part of Amazon is committed to building a diverse and inclusive team that values every perspective. If you’re passionate about driving innovation in robotics and creating meaningful impact, we encourage you to apply and bring your unique self to our team.
     
    We believe the best work is done when collaborating and therefore require in-person presence in our office locations.

    Find more English Speaking Jobs in Switzerland on Arbeitnow

    Embodied AI
    View Job

    Published: September 27, 2026

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