Senior Robotics Software Engineer, Real-Time Data Pipelines

United States Digital Space LLC; Argentina; Presencial; ARS 1.800.000 - 3.600.000; Jornada completa

Descripción de la vacante

United States Digital Space LLC is seeking a Software Engineer to build production systems for robotics data collection, model training, and evaluation. You will work across Python, TypeScript/Node.js, C++, and React to deliver end-to-end robotics solutions.

You will own large-scale data pipelines, collaborate with ML engineers, and shape robust, real-time systems with a strong emphasis on data integrity and performance.

Formación

• 5+ years of software engineering experience with complex systems.
• Proficiency in Python and TypeScript/Node.js for production.
• Experience with React and 3D frontend interfaces is a plus.
• Knowledge of distributed systems, cloud infra (AWS), and data pipelines.

Responsabilidades

• Own and architect large-scale data processing pipelines for robotics datasets.
• Build ML training and fine-tuning pipelines using robotics data.
• Work across backend and frontend stacks to deliver end-to-end solutions.
• Develop tools and real-time systems for data collection, evaluation, and annotation.
• Collaborate with ML engineers and researchers to productionize robotics research.
• Design monitoring and evaluation frameworks for models and data quality.
• Address timing constraints and data integrity in concurrent systems.
• Translate stakeholder needs into scalable software features.

Conocimientos

Python

TypeScript/Node.js

React

Distributed systems

C++

AWS

Herramientas

Docker

Kubernetes

Temporal

MongoDB

PostgreSQL

Descripción del empleo

United States Digital Space LLC is seeking a Software Engineer to build production systems for robotics data collection, model training, and evaluation. You will work across Python, TypeScript/Node.js, C++, and React to deliver end-to-end robotics solutions.

You will own large-scale data pipelines, collaborate with ML engineers, and shape robust, real-time systems with a strong emphasis on data integrity and performance.