Company
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 Robotics Software Engineer, you will be the driving force in developing and deploying cutting-edge robotic automation solutions, leveraging the Intrinsic platform. You will be involved from the initial stages, collaborating alongside industry-leading partners to redefine the future of factory automation by extending our technology, developing innovative software features, and deploying impactful robotics products.
How your work moves the mission forward
- Lead the development of cutting-edge robotic automation solutions using the Intrinsic platform
- Design, implement, test, and maintain innovative software features to expand Intrinsic's capabilities
- Document and communicate your work for internal and external stakeholders
- Collaborate alongside industry-leading partners to deploy automation products
Skills you will need to be successful
- Master’s or equivalent in Computer Science, Robotics or a related field
- Professional work proficiency with C++ and Python
- Experience working on deliberation and control architectures for multi-agent systems
- Proven ability to work with cross functional teams, setting directions and driving towards solutions independently
- Professional background of leading and delivering industrial robotics and automation solutions to customers
Skills that will differentiate your candidacy
- Expertise in ROS 2 (and frameworks like BT.CPP, moveit2, ros2_controls, nav2, Open-RMF) and hands-on experience integrating the same into physical applications.
- Hands-on experience developing and deploying applications using Kubernetes, gRPC, Protobuf, Bazel, microservice architectures, and/or real-time systems.
- Programming skills in Rust (and frameworks like Bevy)
- Familiarity with reinforcement learning.
- Willingness to travel domestically and internationally.