Senior Software Engineer – MLOps

Darum lohnt es sich

Ray, Hydra). /li liExperience in a production environment with real‑world hardware. /li /ul pRIVR, 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. /p pWe believe the best work is done when collaborating and therefore require in‑person presence in our office locations. /p /p #J-18808-Ljbffr ph3About the Company /h3 pRIVR, 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. /p pFollowing 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. /p h3Responsibilities /h3 ul liDesign and implement training pipelines for reinforcement learning policies. /li liWork with AI and robotics engineers to streamline the model development lifecycle, including versioning and reproducibility. /li liImplement ML monitoring and validation to ensure model performance in production. /li liSupport the automated deployment of AI models onto our robotic /li liCreate documentation and guidelines for best practices in MLOps. /li liStay up to date with the latest trends in MLOps and continuously improve our systems. /li /ul h3Qualifications /h3 ul liBachelor’s or higher degree in Computer Science, Engineering, or a related field. /li li3+ years of experience in MLOps or a related field. /li liGood knowledge of PyTorch. /li liExperience with version control CI/CD (Git, Github Actions, or similar) /li liFamiliarity with containerization (Docker, Kubernetes, etc.) for ML workloads. /li liExperience with data and model versioning tools (e.g., DVC). /li liFamiliarity with the basic concepts of reinforcement learning. /li liMaster’s degree or higher. /li liFamiliarity with robotics platforms or ROS2. /li liExperience with NVIDIA simulation tools (Isaac Sim, Isaac Lab). /li liExperience applying machine learning infrastructure tooling (e.g.