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About the Role
We are looking for a Software Engineer to build and scale the data infrastructure powering next-generation robotics and Physical AI. In this role, you will develop high-volume data pipelines, processing systems, and delivery infrastructure to support leading AI and robotics companies. You'll work closely with customer engineering teams to deliver customized data solutions at petabyte scale. Prior robotics experience is not required. We are primarily looking for strong backend and data engineers with experience building scalable production systems.
Responsibilities
- Design, build, and maintain scalable data processing and delivery pipelines.
- Develop infrastructure for large-scale data transformation, packaging, and storage.
- Work with various data formats, schemas, metadata, and custom client requirements.
- Build reliable data delivery pipelines using AWS/GCP and distributed processing technologies.
- Collaborate directly with customer engineering teams to develop customized solutions.
- Implement automated data validation and quality assurance processes.
Requirements
- Strong backend engineering skills in Python, Go, or Rust.
- Proven experience building and owning large-scale data pipelines in production.
- Hands-on experience with AWS/GCP, distributed data processing, and cloud object storage.
- Experience with high-volume data processing, streaming ingestion, or large binary datasets.
- Strong problem-solving skills and ability to work in a fast-paced, evolving environment.
- Excellent communication skills and ability to collaborate with technical customers.
- Experience with robotics or autonomous vehicle data formats such as MCAP, ROS, protobuf, or Foxglove.
- Experience processing multimodal data, including video, depth, audio, or sensor data.
- Background in computer vision, multimodal ML, or data labeling infrastructure.
- Previous experience in solutions engineering, forward-deployed engineering, or customer-facing technical roles.
Skills
- Python
- Go
- Rust
- AWS
- GCP
- Distributed data processing
- Cloud object storage
- High-volume data processing
- Streaming ingestion
- Large binary datasets
- MCAP
- ROS
- protobuf
- Foxglove
- Computer vision
- Multimodal ML
- Data labeling infrastructure
- Solutions engineering
- Forward-deployed engineering
- Customer-facing technical roles