About The Position

Intrinsic is Alphabet’s bet aiming to reimagine the potential of industrial robotics. Our team believes that advances in AI, perception and simulation will redefine what’s possible for industrial robotics in the near future – with software and data at the core. Our mission is to make industrial robotics intelligent, accessible, and usable for millions more businesses, entrepreneurs, and developers. We are a dynamic team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics. Role As a Senior Software Engineer specializing in Planning and Orchestration, you will play a critical role in building the factory of the future. You will work independently to model flexible job shop scheduling problems and implement the solvers necessary for next-generation job scheduling. Your work will focus on building a flexible and dynamic orchestration system that commands AI-powered workcells and material handling systems, including AMRs, mobile manipulators, and conveyors. By solving complex multi-agent orchestration and load balancing challenges, you will help ensure optimal production schedules and the overall success of Intrinsic's manufacturing solutions. How your work moves the mission forward

Requirements

  • Bachelor's or Master's degree in Computer Science, Robotics, Operations Research, or equivalent practical experience.
  • 5 years of professional software development experience, including proficiency in C++ and Python.
  • Experience modeling and solving scheduling problems using optimization tools.
  • Experience integrating software with industrial systems (e.g., MES, inventory management) or AI-based tools.
  • Familiarity with distributed frameworks and multi-agent orchestration.

Nice To Haves

  • PhD in Computer Science, Robotics, Operations Research, or a related field.
  • Deep understanding of deliberation frameworks and modelling workflows.
  • Experience working with specific material handling hardware such as AMRs or mobile manipulators.
  • Knowledge of ROS 2 with experience deploying it in production systems.
  • Background in graph search, motion planning, or discrete optimization.
  • Experience developing agentic AI systems.

Responsibilities

  • Design and implement solvers for job scheduling to drive optimal production schedule generation.
  • Build a dynamic orchestration system to execute plans across diverse hardware, including mobile manipulators and conveyors.
  • Integrate orchestration and planning layers with external systems such as MES and inventory management software to synchronize operations.
  • Integrate generative AI tools to improve operational efficiency.
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