Deine Aufgaben
As a Senior Software Engineer in our Autonomy & Learning team, you will build the software foundations that enable next-generation robot autonomy at scale. You will work across robot middleware (ROS 2), distributed systems, cloud infrastructure, and ML data pipelines to create reliable, high-performance components that power robotic learning, deployment, and real-time operation.
This role blends deep engineering craftsmanship with systems-level thinking. You will own critical architectural decisions, collaborate closely with autonomy, controls, and ML teams, and help shape the technical backbone of RobCo’s next-generation robotic platform.
Your Responsibilities
Build autonomy platform components - Design and implement high-quality services and modules in a ROS 2–based robotics system with tight latency constraints and high quality of service.
Develop distributed robotic systems - Architect control, perception, and telemetry pipelines that integrate tightly with real robot hardware.
Drive ML data pipelines - Develop ingestion, preprocessing, and storage pipelines for multimodal datasets; support large-scale training workflows.
Cloud & distributed infrastructure - Build on top of our scalable cloud-native systems (AWS) including data flows, EC2 orchestration, containerized services, and compute clusters.
Enable scalable robot learning - Integrate technologies such as Ray/Anyscale for distributed training, simulation, rollout generation, and model evaluation.
Deliver engineering excellence - Lead code reviews, testing strategies, CI/CD, observability, and documentation standards.
Collaborate cross-functionally - Work with autonomy, controls, and ML teams to define system interfaces and ensure seamless integration.
Mentor & lead – Provide technical guidance, make architectural decisions, and elevate the engineering culture.