Robotics Platform Software Engineer

About the role

Build the software platform that transforms humanoid robotics research into a reliable production system. This role combines robotics software, real-time systems, cloud/backend engineering, AI model serving, and platform development.

Key responsibilities

• Design and develop the on-robot runtime integrating robot SDKs, ROS 2, AI models, and whole-body controllers.
• Build orchestration systems connecting LLM planners, VLM/VLA policies, and low-level robot control.
• Optimize real-time performance including scheduling, ROS 2 QoS, DDS tuning, and end-to-end latency.
• Integrate perception systems including RGB-D, LiDAR, and tactile sensors, with clean versioned APIs.
• Build cloud platforms for fleet management, telemetry, OTA updates, event logging, and remote diagnostics.
• Develop robotics data pipelines covering rosbag / MCAP ingestion, automated QA, dataset versioning, and training hand-off.
• Build and operate model-serving infrastructure for edge devices and cloud GPU environments.
• Implement observability including structured logging, metrics, distributed tracing, and operational dashboards.
• Develop operator consoles, APIs, SDKs, CLIs, and developer tooling.
• Own CI/CD, staged deployments, release management, rollback processes, and production reliability.

About you

• Bachelor's or Master's degree in Computer Science, Software Engineering, Robotics, or related field.
• 4+ years of experience shipping production software, with meaningful exposure to robotics runtime, real-time systems, or large-scale ML model serving.
• Strong software engineering fundamentals including system design, API design, testing, code review, and production operations.
• Strong Python plus one of C++ / Rust / Go for performance-critical components.
• Comfort with TypeScript for front-end or internal tooling.
• Hands-on experience with ROS 2 or equivalent robotics middleware.
• Experience with Docker, Kubernetes, and Terraform.
• Cloud experience with GCP and/or AWS across compute, networking, IAM, storage, databases, and observability.
• Working knowledge of robotics edge compute such as Jetson Orin / Thor and GPU inference technologies such as CUDA, TensorRT, or vLLM.
• Strong English communication skills.