Software Engineer, Robotics

Responsibilities

• Own and architect large-scale data processing pipelines for robotics and autonomous vehicle datasets.
• Build ML training and fine-tuning pipelines using robotics data.
• Work across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks to build end-to-end solutions.
• Develop tools and real-time systems for robotics data collection, teleoperation, model evaluation, data curation, and data annotation.
• Interact directly with robotics and autonomous vehicle stakeholders to understand technical needs and drive product development.
• Design monitoring and evaluation frameworks for robotics models and data quality.
• Solve complex, late-stage industry challenges in concurrent and real-time robotic systems, with attention to timing constraints and data integrity.
• Investigate difficult technical problems, review academic papers, and collaborate directly with robotics vendors.
• Collaborate with ML engineers and researchers to bring robotics research into production.
• Deliver features at high velocity while maintaining system reliability and performance.

Requirements

• At least 6 years of high-proficiency software engineering experience.
• Strong programming skills in Python and TypeScript/Node.js for production systems.
• Experience with React and modern frontend development for 3D interfaces.
• Experience with concurrent and real-time systems, including timing constraints.
• Understanding of distributed systems, workflow orchestration, and cloud infrastructure.
• Experience with databases and large-scale data processing.
• Track record of working cross-functionally with ML engineers, researchers, and customers.
• Strong communication skills and ability to operate with high autonomy.

Nice-to-haves

• Experience with C++.
• Experience with robotics hardware platforms, including robotic arms, mobile robots, or perception systems, with a focus on time synchronization.
• Background in computer vision, SLAM, motion planning, or imitation learning.
• Familiarity with autonomous vehicle data, lidar technologies, or 3D data processing.
• Experience with ML model deployment and serving frameworks.
• Knowledge of teleoperation systems such as ALOHA, UMI, hand tracking, or VR interfaces.
• Experience with workflow orchestration systems such as Temporal or Airflow.
• Published research or open-source contributions in robotics or autonomous systems.

Compensation and benefits

• No compensation information provided.