3 дня назад
Robotics Application Engineer (AI/Robotics)
100 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Robotics Application Engineer (AI/Robotics): Designing, deploying, and improving software that connects foundation models with real-world robotic systems with an accent on systems integration, production deployment, and performance validation. Focus on debugging failures across hardware, software, and model layers, reproducing edge cases, and building tooling for monitoring and scalable robot operations.
Location: Pittsburgh or San Mateo, United States
Base salary: $100,000–$300,000 USD per year
Company
develops general-purpose robotic intelligence using data-driven machine learning for robust deployment in real-world scenarios.
What you will do
- Design, develop, configure, validate, and deploy software for robotic systems.
- Integrate robotic software solutions into production environments.
- Test, troubleshoot, and debug applications across hardware, software, and model layers.
- Collaborate with ML and core robotics engineers to reproduce edge cases and convert field learnings into system improvements.
- Analyze and improve robot algorithms, system performance, and scalability.
- Build technical documentation, runbooks, monitoring tools, and performance evaluation tooling.
Requirements
- BS, MS, or higher degree in Computer Science, Robotics, or a related field, or equivalent practical experience.
- 3–5+ years of hands-on experience in robotics application development, systems integration, or field deployment.
- Proficiency in Python and C++.
- Strong working knowledge of ROS or ROS2.
- Experience with autonomous systems such as robotics, drones, autonomous vehicles, or industrial automation.
- Strong analytical and problem-solving skills, with familiarity with AI and machine learning for robotic systems, vision systems, simulation tools, or sensor integration.
Culture & Benefits
- Work on general-purpose robotic intelligence designed to adapt to unseen scenarios.
- Collaborate across ML, robotics, hardware, operations, and R&D teams.
- Contribute to innovative robotics projects alongside professionals ranging from new graduates to domain experts.
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