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Software Engineer, Robotics

Scale AI · Mexico et périphérie

Nouveau
Mid 🇬🇧 English
Python TypeScript Node.js C++ React AWS Temporal Kubernetes Docker MongoDB PostgreSQL Distributed systems Workflow orchestration Real-time systems Large-scale data processing

Description du poste

About the role

Scale's Robotics business unit is building the data infrastructure that powers Physical AI for robotics, autonomous vehicles, and computer vision. As a Software Engineer you will design and implement large‑scale data pipelines, ML training workflows, and real‑time tools that enable customers to collect, annotate, and evaluate robotics data.

Key responsibilities

  • Own and architect large‑scale data processing pipelines for robotics and autonomous‑vehicle datasets.
  • Build machine‑learning training and fine‑tuning pipelines using Scale’s robotics data.
  • Develop end‑to‑end solutions across backend (Python, Node.js, C++) and frontend (React, TypeScript) stacks.
  • Create tools for real‑time robotics data collection, teleoperation, model evaluation, data curation, and annotation.
  • Collaborate directly with robotics and AV stakeholders to translate technical needs into product features.
  • Design monitoring and evaluation frameworks for model performance and data quality.
  • Resolve complex, late‑stage challenges in concurrent and real‑time robotic systems, including timing constraints and data integrity.
  • Partner with ML engineers and researchers to bring robotics research into production.
  • Deliver features rapidly while maintaining system reliability and performance.

Required profile

  • 3+ years of professional software engineering experience with complex systems.
  • Strong ability to research, analyze, and unblock hard technical problems independently.
  • Proven experience working with cross‑functional teams of ML engineers, researchers, and customers.
  • Excellent communication skills and a high degree of autonomy.

Required skills

  • Python
  • TypeScript / Node.js
  • C++
  • React
  • AWS
  • Temporal
  • Kubernetes
  • Docker
  • MongoDB
  • PostgreSQL
  • Distributed systems
  • Workflow orchestration
  • Real‑time systems
  • Large‑scale data processing

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Scale AI

Mexico et périphérie