Intrinsic
Intrinsic is a robotics software and AI company at Alphabet. Our mission is to make industrial robotics accessible and usable for millions more businesses, entrepreneurs, and developers. We are a multidisciplinary team of engineers, roboticists, designers, and technologists who are passionate about unlocking the creative and economic potential of industrial robotics.
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Intrinsic is an AI robotics group at Google 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 Software Engineer specializing in Simulation, you will collaborate with senior engineers to build and maintain high-fidelity simulation environments using Gazebo. You will be responsible for implementing features, creating assets, and running validation tests to ensure our digital twins accurately reflect real-world physics and hardware. You will work closely with the simulation and robotics teams to support the development of the Flowstate platform, ensuring that our tools are reliable and efficient for internal and external developers.
How your work moves the mission forward
- Develop and maintain simulation assets and environments using Gazebo and ROS.
- Implement software features that bridge the gap between simulation and physical robot behavior.
- Create and execute automated tests to validate robotic software performance in simulated environments.
- Collaborate with senior engineers to optimize simulation infrastructure for scalability and speed.
- Document technical workflows and contribute to the internal knowledge base for simulation tools.
- Maintain and contribute to the development of open source software.
Skills you will need to be successful
- Bachelor’s or Master’s degree in Computer Science or Robotics, or equivalent practical experience.
- 2 years of experience in robotics software development or simulation.
- Proficiency programming in C++ and Python.
- Experience with the Gazebo simulator and ROS.
- Familiarity with physics engines (e.g., Dart, Bullet, ODE, MuJoCo).
Skills that will differentiate your candidacy
- Experience with Universal Scene Description (USD) and Simulation Description Format (SDF), and Unified Robotics Description Format (URDF).
- Familiarity with Entity-Component-System (ECS) architecture for game or simulation development.
- Knowledge of 3D modeling or computer graphics.
- Experience with sensor data or synthetic data generation.
- Experience with cloud platforms (e.g., GCP) for running automated tests or simulations.
- Background in developing plugins for open-source robotics projects.
- Experience working with version control systems and CI/CD pipelines.
- Experience creating interfaces for front end user facing tools.
- Willingness to travel domestically and internationally.
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.
Ready to apply?
Apply to Intrinsic
Senior Robotics Software Engineer, Sensor-based Control and Robot Learning
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Intrinsic is an AI robotics group at Google 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 in Sensor-Based Control and Robot Learning, you will develop and integrate advanced control strategies and Machine Learning (ML) policies within Intrinsic’s Realtime Robot Control stack. You will drive the deployment of visual servoing and force-control skills in real-world manufacturing settings, focusing on dexterous, contact-rich assembly tasks. You will be responsible for the full development lifecycle: designing controllers, ensuring scalable hardware integration, conducting large-scale experiments, and optimizing for cycle times and resource usage to meet rigorous industrial standards.
How your work moves the mission forward
- Develop visual servoing and interaction control loops to solve high-precision insertion and assembly tasks.
- Implement sensor fusion and time-synchronization algorithms for multi-modal, sensor-based robot control.
- Take ownership of the full experimentation cycle, regularly running trials on industrial hardware to evaluate algorithmic changes and collect high-quality training data.
- Propose and build modular components for our kinematics, state estimation, and control stacks to improve robustness in contact-rich environments.
- Analyze logs and telemetry from diverse sensor sources to identify failure modes and influence the technical roadmap.
- Optimize the real-time execution framework for learned manipulation models within the Intrinsic platform.
Skills you will need to be successful
- Bachelor’s or Master’s degree in Computer Science, Robotics, or a related field (or equivalent professional experience).
- 5+ years of professional software development experience in C++ within robotics or mechatronic systems.
- Proven practical experience testing and iterating on physical robotics hardware integrated with vision and sensing systems.
- Deep technical knowledge of numerical optimal control, robot motion optimization and sensor-based robot control
- Experience working closely with partners and cross-functional teams in a fast-paced environment.
- Business fluency in English.
Skills that will differentiate your candidacy
- PhD in Robotics, Computer Science, or a related field desired
- Track-record of outstanding academic contributions in the field
- Signal processing expertise in time synchronization, state estimation, and data fusion.
- Experience running ML model inference on on-prem hardware within soft-realtime loops.
- Cloud Infrastructure: Familiarity with cloud databases and cloud compute workflows.
- Proficiency in JAX, Python, TensorFlow or PyTorch.
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.
Ready to apply?
Apply to Intrinsic
Senior Software Engineering Lead, Resilience and Chaos Engineering
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Intrinsic is an AI robotics group at Google 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
In this role, you will establish and lead an engineering team dedicated to the stability and endurance of our robotics software platform. You will design systems that proactively identify vulnerabilities within our APIs, SDKs, web interfaces, and cloud-to-edge communication layers. By simulating scenarios such as AI model inference timeouts, high network latency, data pipeline congestion, and malformed input, you will ensure the platform maintains a safe and predictable state even when the environment is not. You will guide a specialized team in developing automated frameworks that replicate real-world disruptions, thus providing a dependable infrastructure for the developers building the next generation of AI-driven robotics. This responsibility includes developing the necessary monitoring tools to gain deep insights into overall system health. As a key technical leader, you will collaborate with world-class engineering teams in Mountain View and Munich to synchronize resilience strategies and set global standards for software reliability.
How your work moves the mission forward
- Create automated resilience tests focusing on service boundaries and hybrid environments (on-prem and Cloud).
- Bolster the robustness of AI integrations by implementing failure injection within data pipelines.
- Deploy fuzzing and property-based testing techniques platform-wide to guarantee graceful degradation.
- Enhance the stability of developer tools and frontend systems against latency and service interruptions.
- Cultivate a culture of reliability through engineer mentorship in defensive programming and by spearheading global "Game Day" exercises.
- Construct observability tools to monitor and analyze holistic system health.
Skills you will need to be successful
- 4-year degree in Computer Science or equivalent professional experience.
- At least 5 years experience in software engineering.
- Demonstrable experience with cloud computing.
- Proven ability to lead a team, providing architectural guidance and fostering professional growth for other engineers in a global setting.
- Experience with one of Go, Python, or C++.
- Strong communication skills.
Skills that will differentiate your candidacy
- Distributed Systems Architecture: Strong experience building and debugging hybrid software environments where local runtimes interact with cloud-hosted services.
- Reliability Engineering Patterns: Deep understanding of software patterns for resilience, such as circuit breaking, retries with backoff, and bulkhead isolation.
- Automated Testing Proficiency: Expertise in creating frameworks for fault injection, property-based testing or coverage-guided fuzzing.
- Full-Stack Technical Knowledge: Competency in systems-level languages and an understanding of how to build resilient frontend interfaces.
- Infrastructure & Tooling: Hands-on experience with container orchestration (Kubernetes/Docker) and CI/CD pipelines to automate failure simulations.
- Robotics Software Experience: Hands-on experience with robotics frameworks or complex hardware-interfacing software.
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.
Ready to apply?
Apply to Intrinsic
Senior Robotics Software Engineer, Mobile Robot Orchestration
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Intrinsic is an AI robotics group at Google 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 working on mobile robot orchestration, you will collaborate with a diverse team of roboticists and software developers to reimagine how mobile robots make their way through the complex, dynamic world that we live in. You will develop high-performance multi-agent path finding algorithms that enable hundreds to thousands of robots to operate in densely packed factories and warehouses. You will design robust behaviors for fleets of mobile robots to seamlessly interact with automated doors, elevators, and robot workcells. Your work will be deployed in a wide variety of dynamic environments, including factories, warehouses, malls, hospitals, campuses, and commercial buildings. Through close collaboration with the Open Robotics community, you will shape open specifications for mobile robot interoperability.
How your work moves the mission forward
- Examine challenging environments and identify strategies for seamless mobile robot traffic.
- Develop software tools to make mobile robot traffic behavior easy to understand and debug.
- Implement various algorithms for multi-agent path finding and benchmark them across diverse environments.
- Build extensible reusable libraries that empower customers to tailor their mobile robot traffic behaviors to their unique scenarios.
Skills you will need to be successful
- Bachelor’s or Master’s degree in Computer Science, Robotics, or equivalent practical experience.
- Proficiency in systems programming languages such as C++, Python, or Rust.
- Demonstrable experience with autonomous mobile robots (such as MiR, OTTO, Geek+).
- Expertise in programming reactive software systems.
- Experience architecting distributed multi-agent systems using ROS, Zenoh, MQTT, gRPC, or REST APIs.
Skills that will differentiate your candidacy
- A Masters or Doctoral degree relevant to mobile robot orchestration.
- Peer-reviewed research papers related to multi-agent path finding.
- Expertise in the Rust programming language.
- Experience deploying large-scale mobile robot traffic systems.
- Experience deploying mobile robots in human-centric environments.
- Comfort engaging with diverse stakeholders to assimilate broad perspectives and build consensus.
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.
Ready to apply?
Apply to Intrinsic
Robotics Software Engineer, Robot Learning and Manipulation
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Intrinsic is an AI robotics group at Google 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 Robotics Software Engineer specializing in Robot Learning and Manipulation, you will drive the design, training, validation and deployment of contact-rich manipulation skills for real-world manufacturing. Your focus will be on solving dexterous, contact-rich assembly tasks. You will develop and integrate advanced sensor-based control strategies and Machine Learning (ML) policies within the Intrinsic Robot Control stack, managing the full model lifecycle - from architecture, large-scale data collection and training to validation, deployment and cycle-time optimization - to meet rigorous industrial standards.
How your work moves the mission forward
- Develop, train, and deploy multi-modal feedback- and interaction controllers to solve high-precision insertion and assembly tasks.
- Lead the AI manipulation model lifecycle, conducting regular trials on industrial hardware to evaluate algorithmic changes and curate high-quality training datasets.
- Architect and build modular components for reinforcement learning and imitation learning, continuously seeking to improve the robustness of contact-rich assembly tasks.
- Stress-test and optimize the real-time execution framework for learned manipulation models within the Intrinsic platform.
Skills you will need to be successful
- PhD or equivalent professional experience in Robot Learning and AI Manipulation (e.g., Applied RL, Visuomotor Policy Learning, Vision-Language-Action models).
- 2 years of professional experience in C++ and Python, with a proven track record of shipping production-quality code.
- ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.
- Hardware Experience: Direct experience testing and iterating on physical robots integrated with vision and force-torque sensors.
- Operational Grit: A desire to spend significant time in the lab, managing hardware experiments and troubleshooting physical-world edge cases.
- Communication: Business fluency in English.
Skills that will differentiate your candidacy
- Multimodal Perception and Control: Expertise in integrating tactile/force sensing and computer vision for contact-rich tasks.
- Hardware Experience: Direct experience testing and iterating on physical robot manipulators integrated with vision and force-torque sensors.
- Large-Scale Training: Proficiency in training on massive multimodal datasets and managing cloud-based training workflows (e.g. Argo).
- Infrastructure: Experience with cloud-based training (Argo) and deploying inference on the edge.
- Customer Focus: Willingness to travel internationally to analyze customer use cases and deploy solutions under ambitious timelines.
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.
Ready to apply?
Apply to Intrinsic
Robotics Software Testing Engineer, Factory Orchestration
Share this job
Intrinsic is an AI robotics group at Google 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 Robotics Software Testing Engineer, you will collaborate with fellow engineers in maintaining and testing software for robotics, in the domain of industrial factory automation. You will play a key role in ensuring software stability and compatibility, by designing and implementing comprehensive and automated test suites. You will work closely with engineers and stakeholders to design testing pipelines with hardware in-the-loop. You will assist in the upkeep of Open-RMF, interacting with users and the open source community on matters of issues, fixes, and feature requests.
How your work moves the mission forward
- Enable the team to discover, isolate and mitigate issues swiftly.
- Empower the team to deploy with confidence.
- Accelerate the development of robot interoperability and factory orchestration at scale.
- Provide a consistent and reliable testing pipeline to accelerate development, bug reproduction and fixes.
Skills you will need to be successful
- Bachelor’s or Master’s degree in Computer Science, or Robotics, or equivalent practical experience.
- Familiarity with modern programming practices in C++, Python, or Rust.
- Experience in designing and maintaining software testing pipelines with upstream dependencies and downstream users.
- Experience with distributed systems and communication protocols such as REST or ROS 2.
- Experience with both simulated (Gazebo) and hardware mobile robot platforms.
Skills that will differentiate your candidacy
- Experience with Open-RMF.
- Experience in Rust.
- In-depth knowledge of isolation, containerization and Kubernetes.
- Experience with industrial robotic arms.
At Intrinsic, we are proud to be an equal opportunity workplace. Employment at Intrinsic is based solely on a person's merit and qualifications directly related to professional competence. Intrinsic does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. It is Intrinsic’s policy to comply with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity.
If you have a disability or special need that requires accommodation, please contact us at: candidate-support@intrinsic.ai.
Ready to apply?
Apply to Intrinsic