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Senior Research Engineer - Data Engine

Intrinsic RoboticsMunich, Germany
On-site Full-time

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Experience Level

Senior

Qualifications

Required Skills and QualificationsBachelor's degree in Computer Science or a related field. A minimum of 4 years of experience in collaborative medium to large software projects. Proficiency in Python and C++ programming languages. Experience with machine learning frameworks (such as TensorFlow, JAX), cloud platforms, and containerization technologies (Google Cloud, Docker, Kubernetes), as well as database management (SQL, No-SQL) and service-oriented architectures. Demonstrated capability to work within a team, providing direction and driving towards effective solutions. Preferred QualificationsPhD in Computer Science or Engineering with a focus on Machine Learning and/or Robotics.

About the job

Intrinsic Robotics, a pioneering venture within Alphabet, is dedicated to revolutionizing the landscape of industrial robotics. Our team is driven by the belief that breakthroughs in artificial intelligence, perception, and simulation will reshape the capabilities of industrial robotics in the near future, with software and data at the heart of this transformation. 

Our mission is to make intelligent industrial robotics accessible and usable for a multitude of businesses, entrepreneurs, and developers. We are a vibrant group of engineers, roboticists, designers, and technologists, all committed to unleashing the creative and economic potential of industrial robotics.

Role Overview

In your capacity as a Senior Research Engineer specializing in Data Engine, you will spearhead the design and implementation of systems that facilitate the training, deployment, and utilization of large-scale AI models for robotics. Your leadership will shape the technical direction, mentor fellow engineers, and ensure the establishment of robust, scalable data pipelines and machine learning infrastructure essential for enhancing the capabilities of robots in real-world settings. Your contributions will empower both internal teams and external partners by delivering accessible tools and infrastructure for integrating advanced AI methodologies into robotic applications.

Key Responsibilities

  • Lead the architecture and execution of infrastructure for training and deploying large-scale robotic foundation models.
  • Manage the development and upkeep of data pipelines for the collection, processing, and integration of real-world robot data into machine learning workflows.
  • Enable machine learning researchers and engineers with user-friendly tools and infrastructure for leveraging AI techniques in robotics.
  • Collaborate with product and engineering teams to specify infrastructure needs and deliver effective solutions for both partners and customers.

About Intrinsic Robotics

Intrinsic Robotics is a forward-thinking company under Alphabet, aiming to transform the industrial robotics sector through innovative AI, perception, and simulation technologies. Our dedicated team is passionate about making advanced robotics accessible to a broader range of industries and developers.

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