Role

As an Executive Business Partner (Lead) at Intrinsic, you are the Strategic Architect of our leadership operations and a driving force behind our administrative community. Partnering directly with senior VPs, you use independent judgment and absolute discretion to prescribe operational improvements, navigate highly complex stakeholder landscapes, and prevent organizational collisions before they materialize.

Your mission is to construct a predictive operational ecosystem. By engineering advanced AI workflows to absorb transactional administrative burdens, you create the personal bandwidth to act as an essential cross-functional bridge builder, maintaining exemplary organizational trust while keeping our engineering and leadership workstreams completely synchronized.

How your work moves the mission forward

• Architect Executive Operations: Propose, design, and implement operational structures that optimize the time, focus, and effectiveness of your executive leaders.
• Cultivate Exemplary Trust: Act as an expert liaison between leadership and vital internal pillars (Finance, People Team, Legal), ensuring meticulous policy compliance and frictionless communication.
• Deploy Advanced AI Automation: Build custom prompt configurations and automated scripts to manage high-volume scheduling, routine comms loops, and logistical datasets.
• Own High-Stakes Corporate Programs: Serve as the Directly Responsible Individual (DRI) for major corporate initiatives, large-scale culture projects, and global team offsites, managing full lifecycle execution and budget governance.
• Anchor the Administrative Community: Elevate the capabilities of the wider partner ecosystem, establishing best practices and earning the team's respect to act as a trusted operational mentor.

Skills you will need to be successful

• Feedback Resiliency & Style Adaptability: Proven comfort and effectiveness partnering with high-candid, direct leadership styles; ability to receive and constructively integrate feedback regarding behavioral approach ("the how") as well as tactical results ("the what").
• Systems-Level AI Proficiency: Demonstrable experience applying LLMs (such as Gemini) and workflow automation to systematically optimize executive schedules, track project statuses, and summarize complex business datasets.
• Corporate Policy Fluency: An expert understanding of corporate procurement, expense management, and compliance frameworks to safeguard team processes and minimize cross-functional friction.
• Dual-Track Prioritization: Outstanding capacity to direct large-scale, multi-departmental culture projects simultaneously with high-touch daily executive support without a reduction in quality or precision.
• Operational Depth: Minimum of 5 years of direct executive business partnership within a fast-moving technology or international corporate ecosystem.
• Systems Thinking & Digital Transformation: Ability to map manual operational bottlenecks across a matrixed engineering organization and convert them into scalable, automated, self-sustaining workflows.

Skills that will differentiate your candidacy

• Advanced AI Workflow Orchestration: Ability to build enterprise-grade automation loops, create bespoke executive "Persona Libraries" to streamline communications, and apply AI tools inside data systems to capture hidden organizational time blocks.
• AI Output Auditing: Exceptional critical thinking skills required to audit AI-generated assets for tone-deafness, contextual hallucinations, or formatting anomalies before they reach executive visibility.
• High-Stakes Stakeholder Diplomacy: Experience serving as an executive's surrogate in high-pressure or external-facing environments, with the emotional intelligence to navigate complex matrixed teams and protect the leadership brand during transitions.
• Strategic System Building: A track record of turning custom, one-off event successes (e.g., global retrospectives or cultural events) into scalable, documented playbooks utilized across an entire company division.

Role

As an Administrative Business Partner at Intrinsic, you are the strategic "bridge builder" at the intersection of our Engineering, R&D, and Commercial teams. Supporting three highly collaborative leaders, you act as an Impact Multiplier who synchronizes internal rhythms and serves as a vital liaison for high-stakes external partners and customers. Your mission is to build the "Automated Executive" by using AI and systems thinking to handle the "interruptions" (scheduling, travel, and routine comms), allowing you to focus on the "discretion"—navigating complex stakeholder relationships and preventing strategy collisions before they occur. Unlike a traditional gatekeeper, you are a facilitator who protects leadership bandwidth while ensuring the team remains accessible and mission-aligned.

How your work moves the mission forward

• Synchronize High-Collaboration Teams: Connect the dots between Engineering, R&D, and Commercial workstreams to ensure alignment and prevent operational bottlenecks.
• Manage High-Stakes External Moats: Act as a professional liaison for industrial partners and customers, ensuring external stakeholders feel heard and prioritized.
• Build the Automated Executive: Develop and deploy Gemini prompts and automated workflows (Apps Script) to streamline travel, expenses, and routine communications.
• Strategic Shadowing: Proactively analyze upcoming leadership cycles to identify "energy drains" or logistical bottlenecks 48 hours in advance.
• Execute Strategic Partner Tasks: Manage complex facilities coordination and medium-to-large scale projects that sustain Intrinsic’s cultural and operational excellence.

Skills you will need to be successful

• AI Proficiency: Demonstrable experience using LLMs (like Gemini) to automate manual workflows, draft high-stakes communications, and build "Persona Libraries".
• Systems Thinking: Ability to identify patterns in organizational friction and implement scalable, automated solutions.
• Strategic Liaison Skills: Experience managing high-stakes relationships with external partners and customers with high EQ and discretion.
• Multi-Lead Prioritization: Proven ability to support multiple executives simultaneously without compromising quality or responsiveness.
• Operational Mastery: Minimum of 5 years of direct executive support experience in a fast-paced environment.

Skills that will differentiate your candidacy

• Advanced AI Workflow Orchestration: A standout candidate doesn't just "use" Gemini; they build systems with it by creating Persona Libraries to automate routine communications and using tools like Apps Script to build a "Digital Twin" for the executives they support.
• Strategic "Bridge Building" & Synthesis: The ideal candidate has a proven track record of connecting the dots between disparate departments, such as Engineering and Commercial teams, to prevent strategy collisions while protecting leadership time.
• High-Stakes Stakeholder Diplomacy: Differentiating candidates act as an Executive's surrogate in external-facing environments, managing high-stakes relationships with industrial partners and customers with high EQ, navigating office politics, and protecting the executive’s brand during crises.
• Critical Thinking in Ambiguity: Candidates should be able to navigate "stress test" scenarios where there is no single correct answer, particularly when managing conflicting priorities between Engineering, R&D, and Commercial leaders.
• Technical Curiosity & Systems Thinking: A differentiator is the ability to use advanced features within Google Workspace (e.g., Gemini in Sheets) to analyze trends or identify "logistical bottlenecks" 48 hours before they occur.
• AI Output Auditing: In high-stakes environments, the ability to audit AI outputs for "hallucinations" or tone-deafness is a critical moat that ensures communications remain professional and accurate.

Role

Our perception technology, in particular pose estimation, is a key differentiator of the Intrinsic platform and enables our users to build flexible automation solutions. The perception experience team builds tools that significantly improve developer productivity when adding perception to an application, from camera onboarding and calibration to training and running a pose estimation algorithm.

We are seeking a highly skilled Software Engineer to join our dynamic perception team working at the heart of Flowstate, our first product built on the Intrinsic platform. In this role, you will be responsible for developing new user interfaces focused on perception user journeys, improving existing user journeys, and integration with the rest of the Intrinsic platform and backend APIs. You will develop the full stack of web interfaces for end-to-end perception tasks, ensuring a cohesive and user-friendly experience throughout our platform. The interfaces you build will shape our product and the role of the human in it.

You are excited by the prospect of owning critical pieces of our user experience (including collaborating with the Product and Design teams, and developing tests). You are excited to work with real cameras and robotic hardware. You have excellent development skills across the web application stack and are excited to be part of a world-class, innovative, frontend team.

How your work moves the mission forward

• Develop intuitive and innovative perception interfaces in collaboration with Product, Design, and Engineering teams.
• Own individual workflows or web UIs critical for Intrinsic’s perception product(s).
• Collaborate closely with product, design, and cross-functional engineering teams to deliver cohesive and delightful user experiences.
• Contribute to the end-to-end tech stack, integrating frontend with backend systems to enable seamless human-robot interaction.

Skills you will need to be successful

• At least Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• At least 5 years of professional experience in frontend web application development, with proficiency in modern JavaScript/TypeScript and experience with a major web framework (e.g., Angular, React).
• Experience in backend development (Go, C++, Python, etc.).
• Willingness to learn or familiarity with 3D computer vision, registration techniques, or similar perception topics.
• Experience with building visually-rich web applications. 
• Excellent collaboration skills, particularly when working with product and design teams.
• Good written and verbal communication skills in English.

Skills that will differentiate your candidacy

• Experience with 3D graphics and visualization libraries (e.g., Three.js, WebGL) in a web context.
• Experience in building human-machine interfaces for robotics or perception or complex industrial systems.
• Experience with user studies or gathering user feedback to iterate on prototypes.

Role

As a Full Stack Senior Software Engineer in our Product Development Team for Robotic Solutions you will work closely together with different stakeholders to develop production ready software for scalable robot applications based on our Intrinsic Platform. You will be part of the entire development journey, from scoping the right technical solution, analyzing dependencies and needs up to actual development and testing.   

How your work moves the mission forward

• Synchronize with product management and platform development to take the right architecture decisions, which ensure long term maintainability and stability. 
• Implement high quality software with state of the art tooling as part of an experienced team of developers.
• Be hands on in testing on real hardware and supporting customers where needed.
• Ensure a smooth transition of feature releases to the Customer Success Team, which will take care of most customer facing enablement and support. 

Skills you will need to be successful

• Master’s degree or equivalent practical background in Computer Science, Robotics, or a related technical field.
• Experience implementing user facing web-based frontends and associated backends in the context of robotics and industrial automation.
• Professional work experience with Python + TypeScript / JavaScript.
• Demonstrated capability in technical leadership, including setting technical direction and guiding development efforts towards successful outcomes.
• Excellent collaboration skills, with the ability to work effectively with internal cross-functional teams and external technical partners.

Skills that will differentiate your candidacy

• Proven track record developing and deploying frontend and backend production code for industrial robotics and automation solutions within manufacturing or production environments.
• Good understanding of concepts such as coordinate transforms, quaternions and pose representations.
• Familiarity with web-based 3D Visualization.
• Ability to drive sustainable architecture decisions and experience with appropriate testing approaches.
• Experience with Angular, Bazel, gRPC and Protocol Buffers.

Role

As a Robotics Software Engineer specializing in Intelligent Manufacturing Automation, you will closely collaborate with our automation group and industry partners to advance manufacturing automation by developing and deploying end-to-end automation processes for electronic manufacturing. Your daily responsibilities will include integrating and developing new processes and capabilities for manufacturing automation, as well as supporting the deployment of impactful robotic systems in production.

How your work moves the mission forward

• Contribute to the technical development and integration of advanced robotic automation solutions for manufacturing automation, utilizing the Intrinsic platform, ROS and state-of-the-art AI capabilities.
• Collaborate closely with our automation team and industry partners to successfully develop and integrate automation capabilities into factory settings.
• Document designs, processes, and results, communicating effectively with internal technical teams and our partners.

Skills you will need to be successful

• Bachelor’s degree or equivalent practical background in Computer Science, Robotics, or a related technical field.
• Foundational understanding of robotics and automation, with a strong desire to learn and contribute to their application in manufacturing environments.
• Programming proficiency with C++ and/or Python.
• Excellent collaboration skills, with the ability to work effectively with internal cross-functional teams and external technical partners.

Skills that will differentiate your candidacy

• Experience with ROS 2 and it's major frameworks.
• Experience with technologies such as Kubernetes, gRPC, Protobuf, Bazel, microservice architectures, and/or real-time systems.

Role

As a Robotics Systems Engineer, you will build the connection between our web-based software and the physical hardware on the manufacturing floor. You are responsible for ensuring that when an operator interacts with our interface, the robotic system responds instantly and safely, from synchronizing data records to controlling physical signal lights. You will own the entire lifecycle of a command, ensuring it is authorized, recorded, and executed correctly even if the network is unstable. Your work ensures that our software is a reliable and intuitive controller for the next generation of physical automation.

How your work moves the mission forward

• Implement secure login and identity systems that manage user access levels and ensure only authorized personnel can trigger physical hardware actions.
• Develop the control logic that bridges the web interface to physical hardware components, including status lights, emergency stops, and operator consoles.
• Architect resilient data systems that store robot telemetry locally during network outages and synchronize with the cloud once a connection is restored.
• Build the backend infrastructure required to support multi-tenant environments, ensuring strict data isolation and security between different customers.
• Design reliable communication pathways between web browsers and hardware controllers to ensure low-latency feedback for the operator.
• Create detailed audit logs that link every physical hardware action back to a specific, authenticated user for safety and forensic review.

Skills you will need to be successful

• Professional experience designing and implementing granular user permissions and access control levels within a multi-user software environment.
• Proficiency in interfacing software with physical hardware through digital inputs and outputs (such as controlling lights, switches, or sensors).
• Expertise in fullstack development, moving comfortably between server-side logic (Python or C++) and client-side web applications (TypeScript).
• Practical experience with network communication protocols used to send data between different pieces of hardware and software.

Skills that will differentiate your candidacy

• Experience with industrial communication standards used to talk to factory equipment and hardware controllers.
• Understanding of distributed systems and how to resolve data conflicts with multi user access.
• Experience with real-time operating systems or high-performance messaging systems for low-latency control.
• Previous experience building industrial human-machine interfaces or control panels for complex machinery.
• Familiarity with modern build and deployment tools (such as Bazel or containerization) to manage complex, multi-component software.

Role

As a Frontend Software Engineer, you will be responsible for designing and developing modern web applications that provide the primary interface for interacting with robotic workcells on the manufacturing floor. Our goal is to make complex automation accessible by providing intuitive yet powerful interfaces that bridge the gap between human operators and physical hardware. 

In this role, you will be responsible for developing human-robot user interfaces (HMIs) and optimizing the performance of client-side rendering and server-side integration. You will develop the full stack of web interfaces for end-to-end robotics tasks, from real-time 3D visualizations of workcells to the control logic that drives them. Your work moves beyond standard CRUD-based web applications; the interfaces you build will directly control physical robots on an assembly line, shaping both our product and the role of the human within it. You will help transition the HMI from a manual dashboard into an intelligent partner that assists operators with troubleshooting, programming, and optimization.

You are a developer who thrives on technical precision and rapid iteration. You are comfortable owning critical pieces of the user experience, making UI design decisions that prioritize the operator, and collaborating across Product, Design, and Engineering teams to ensure our software is as robust as the hardware it controls.

How your work moves the mission forward

• Implement responsive UIs using modern frameworks and reactive design patterns to handle real-time telemetry from robotic systems and prioritize operator safety and workflow efficiency.
• Develop and optimize 3D visualizations, ensuring smooth performance and accurate rendering of manufacturing environments.
• Engineer resilient web applications that provide a reliable experience across factory floor devices, ensuring high availability even in variable network conditions.
• Prototype and integrate AI agents into HMI workflows to assist operators with real-time decision-making and error recovery.
• Integrate frontend services with backend systems using gRPC and Protobuf to ensure seamless, low-latency data communication.
• Verify code quality through comprehensive unit and integration testing while managing complex builds via Bazel and CI/CD pipelines.

Skills you will need to be successful

• A minimum of 3 years of professional experience with modern web application development (Typescript, Angular/React) and a deep understanding of efficient state management and UI performance optimization.
• Proficiency in low-level APIs (WebGL/WebGPU) or high-performance engines (Three.js, Babylon.js, or Bevy) and deep understanding of the GPU pipeline.
• Experience utilizing service workers and caching strategies for offline-first reliability.
• Experience with Bazel build systems and proficiency in gRPC and client-server communication.
• Ability to write comprehensive unit and integration tests using Jasmine (or similar) and a solid understanding of automated testing within CI/CD workflows.
• Ability to read and understand backend codebases in Python or C++ to trace data flows and unblock frontend integration tasks.

Skills that will differentiate your candidacy

• Experience with WebAssembly (WASM) and/or Rust. 
• A strong willingness and excitement to work with physical AI and robotic systems.
• Ability to analyze and optimize web app performance, ensuring interface cohesion across different client hardware and network bandwidths.
• A track record of iterating quickly on features based on direct feedback from internal teams or clients.
• Previous exposure to designing interfaces for industrial automation, robotics, or hardware control systems.

Role

As the Product Manager for Manufacturing Orchestration and Observability, you will collaborate with strategic partners, fellow product managers, and engineers to redefine which challenges in electronics manufacturing can be solved both economically and technically through intelligent software and automation. You will lead the development of a clear and compelling vision for how the electronics factory of the future is dynamically controlled and orchestrated. You will drive the implementation roadmap work management software orchestrating scalable robotics solutions that leverage the unique capabilities of the Intrinsic Software Platform. In addition, you will drive the roadmap of our platform observability and data strategy, in line with privacy and compliance best practices. In this role, you’ll work alongside talented and creative individuals who are engaged in highly ambitious projects. You will be at the forefront of our mission to help the world reimagine what robots can do—and who gets to use them.

How your work moves the mission forward

• Define a strategic vision for orchestration of the Electronics Factory of the future and the role of automation.
• Translate this vision into a comprehensive development roadmap.
• Scope requirements based on partner interactions and analysis, and partner with other product managers and engineering teams for planning and execution.
• Drive the evolution of the Intrinsic Platform towards dynamically orchestrated factory environments.
• Advocate for our customers by understanding their needs and identifying opportunities to deliver unique value through advanced software capabilities.
• Brief executives and evangelize the value of our solutions at both internal and external events.
• Define and drive Intrinsic data strategy, governance and compliance.

Skills you will need to be successful

• Bachelor's degree in a technical field or equivalent industry experience.
• Proven success as a product manager for software in a manufacturing domain.
• Deep industry knowledge of production planning and/or manufacturing execution systems (MES), Enterprise Resource Management (ERP) and/or fleet management systems (FMS) for automation or industry.
• Deep understanding of optimization, data observability, and orchestration capabilities for efficient resource management and visualization.
• Experience with delivering software products for cloud or cloud/edge systems that are modular and scalable. 
• Excellent communication skills, including the ability to effectively engage with executives, customers, and peers.
• Proven ability for customer value discovery and distilling a shared vision and executable roadmap.
• Demonstrated system thinker skills and the ability to map intricate physical factory workflows into digital logic, ensuring that local automation sequences integrate seamlessly with factory orchestration.
• Ability and willingness to travel domestically and to Asia approximately 10–15% of the time (1–2 trips per quarter).

Skills that will differentiate your candidacy

• M.B.A., M.S., or Ph.D. in Engineering.
• Experience with common practices in Electronics Manufacturing.
• Previous product management experience in fleet management tools for automation.
• Experience leading projects with significant research and development components.

Role

We are seeking a highly motivated intern to build state-of-the-art vision foundation models for industrial robotics. You will design, train and test your own vision foundation models with the goal of achieving state-of-the-art results in a given task and deploying it with our industrial customers. 

How your work moves the mission forward

• Contribute towards the development of robotics software (including our platform Flowstate).
• Collaborate with a team of experienced professionals in modern software development practices.
• Explore and implement deep learning models in python, specifically using PyTorch or Jax. 
• See your foundation models impact different customers in industrial robotics.

Skills you will need to be successful

• Master’s student in Computer Science or related field required (PhD’s students preferred).
• Knowledge and proficiency in python, specifically using PyTorch or Jax.
• Familiarity with training foundation models across multiple nodes.
• Experience or interest in creating end-to-end robotics applications or have built/integrated robotic hardware (i.e. workcells) in industry.
• Ability to debug, launch, and troubleshoot training and inference jobs.
• Strong verbal and written communication skills.

Role

As a Frontend Robotics Engineer on our Customer Success team, you will act as the crucial bridge between our core technology and our customers and partners. You will help design, build, and customize Human-Machine Interfaces (HMIs) that empower our partners to deploy complex robotic automation systems.

In this role, you will take existing reference solutions and customize them for specific customer use cases, adding new features, controls, and 3D visualizations. We are looking for a "T-shaped" developer: an engineer with deep expertise in building web interfaces, coupled with the ability to navigate backend systems in Python and C++. While you will have the support of dedicated backend engineers to build core infrastructure, you should be entirely comfortable navigating backend code to understand and debug data flows, trace API endpoints, and collaborate effectively across the stack. You will need to be familiar with how data travels from hardware to software and have a solid understanding of network systems. Additionally, you will work directly with customers and partners to guide their development and get hands-on with physical robotics hardware to ensure your interfaces work flawlessly in the real world.

How your work moves the mission forward

• Collaborate directly with customers/partners to understand their specific use cases and customize reference HMIs to meet their product needs.
• Develop visually rich, user-friendly web applications that allow non-experts to interact with, monitor, and control industrial robotic workcells.
• Bridge the technical gap for customers by guiding them through frontend development best practices and helping them eventually own their custom HMI services.
• Integrate complex features, such as real-time 3D visualizations and process data, partnering seamlessly with backend engineers to wire up new data streams.
• Work hands-on in the lab and in the field with physical robots, hardware, and automation equipment to test and validate your software interfaces.
• Create and maintain an accessible system of reusable frontend components in collaboration with our Design team.

Skills you will need to be successful

• Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
• 3+ years of professional experience in frontend web application development and design, with deep expertise in Angular, TypeScript, and Three.js.
• Experience building visually rich, user-friendly client-side applications that enable complex interactions.
• Backend Confidence: A strong ability to collaborate with backend teams - you should be comfortable navigating codebases in Go, C++, or Python and understanding data structures to trace data flows and unblock frontend integration tasks.
• Excellent written and verbal communication skills, with a proven ability to collaborate directly with customers or external partners.
• A strong willingness and excitement to work hands-on with physical hardware and robotic systems (no prior robotics experience strictly required, but curiosity is a must).

Skills that will differentiate your candidacy

• Familiarity with industrial automation, robotics, manufacturing, or human-machine interface (HMI) design.
• Experience with 3D graphics and visualization libraries in a web context (e.g., WebGL).
• Familiarity with server-side (Go, C++, gRPC, etc.) software.
• Previous experience in a Customer Success, Solutions Engineering, Developer Relations, or forward-deployed engineering role.

Role

As a Software Engineer specializing in Planning and Orchestration, you will play a critical role in building the factory of the future. 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

• 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.

Skills you will need to be successful

• Bachelor's or Master's degree in Computer Science, Robotics, Operations Research, or equivalent practical experience.
• Knowledge of ROS 2 with experience deploying it in production systems.
• 3-5 years of professional software development experience, including proficiency in C++ and Python.
• Familiarity with distributed frameworks and multi-agent orchestration.

Skills that will differentiate your candidacy

• Deep understanding of deliberation frameworks and modelling workflows.
• Experience working with specific material handling hardware such as AMRs or mobile manipulators.
• Background in reinforcement learning.
• Experience developing agentic AI systems.

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.

Role

As a Software Engineer on the Data Infrastructure team, you will be responsible for designing, building, and maintaining the data infrastructure that powers our cutting-edge robotics systems. Your software will enable design, development, and operational robotic workflows, integrating with Kubernetes based cloud and on-device services. This includes the systems that collect and process data from our robots in the real world, and feed that data into our machine learning pipelines to train and evaluate the models that make our robots intelligent. You will collaborate with a passionate Product and Engineering team creating software that enables fleets of robots to build better.

How your work moves the mission forward

• Design, develop, and maintain scalable and reliable data pipelines for collecting, processing, and storing large volumes of robotics data (e.g., sensor data, telemetry, logs).
• Build Data pipelines to train the next generation of functional robot models.
• Build and maintain tools and infrastructure for data exploration, analysis, and visualization.
• Implement and maintain data security and privacy best practices.
• Work with Customers, Product managers, and Researchers to customize data pipelines for analysis and research.

Skills you will need to be successful

• At least 4 years of professional, post-graduate experience collaborating on medium to large software projects.
• Experience with one of C++, Golang, Python.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and their data services.
• Excellent communication and collaboration skills.

Skills that will differentiate your candidacy

• Experience with containerization technologies (e.g., Docker, Kubernetes).
• Experience with data governance and compliance.
• Experience with machine learning pipelines.
• Familiarity with robotics systems. 

Role

As Solutions Product Manager you will work with customers, account executives, other product managers and engineers to redefine what automation problems can be solved economically as well as technically. You will coordinate the definition and prioritization of scalable robotics solutions that leverage the unique capabilities of the Intrinsic Software Platform and create unique value for our customers. You will have the opportunity to work with some amazing and talented people, who also happen to be working on highly creative and ambitious efforts. In this role you get to directly interact with Intrinsic’s partners and customers and are expected to travel up to 15% of the time. In this role you are at the forefront of our mission of making the benefits of robotics available to millions of new businesses. 

How your work moves the mission forward

• Identify the best scalable robotic automation solutions that have a good fit with the Intrinsic platform. 
• Define target markets for robotic automation solutions and assess the market size. 
• Develop a compelling vision and roadmap for these solutions.
• Scope solution concepts, user journeys, requirements and partner with other product managers and engineering on planning and execution. 
• Advocate for our customers, their needs and opportunities to generate unique value through novel robotic solutions.
• Brief executives, evangelize the value of our solutions at internal and external events. Be a storyteller and spokesperson for the Intrinsic platform.

Skills you will need to be successful

• Bachelor's degree in a technical field or equivalent industry experience.
• Proven track record of success as a product manager within an automation company or similar experience.
• Extensive industry knowledge of the industrial robotics and manufacturing industry and its solutions and component ecosystem.
• Experience of applying a product mindset to automation problems that allows to re-use solutions over different applications.
• Outstanding communication skills, both at the executive level, with customers and with peers.

Skills that will differentiate your candidacy

• M.B.A. and/or M.S. and/or PhD in Engineering.
• Experience with building modular, scalable automation solutions.
• Experience with cloud and edge IT systems.
• Experience with enterprise IT systems such as MES and ERP.
• Experience with projects that involve a significant research & development portion.

Role

As a Robotics & Automation Technician at Intrinsic, your work will unlock and unblock the full potential of our existing robotics lab in Mountain View. Ideal candidates have a bias for action and aren’t afraid of solving unexpected needs of the team. You will navigate ambiguity and learn new skills as the complexity of our work increases over time. 

In this dedicated, hands-on role, you will be working on our ‘Factory of the Future’ project and should expect a wide range of responsibilities. You will heavily focus on the execution of mechanical and electrical assemblies, field-based tasks, building automation cells, and assisting with the critical lab setup. Additionally, you will be responsible for the smooth operation of our facility by handling daily lab maintenance, inventory logistics, and organizational work including shipping, sourcing, and purchasing efforts. By taking ownership of these crucial day-to-day operational tasks, your work will be a force multiplier to the efforts of the team.

How your work moves the mission forward

• Work closely with mechanical engineers, product managers, software developers, and researchers to build, maintain, and refine our electronic manufacturing automation systems from the ground up.
• Execute mechanical and electrical assemblies for rapid, innovative R&D robotic automation workcells.
• Perform electrical testing and troubleshoot existing automation cells to validate hardware integrity and resolve operational issues.
• Manage daily lab maintenance, inventory logistics, and hardware-related office tasks (shipping, sourcing and purchasing) to establish a highly efficient working environment.
• Read and execute from hardware specifications and schematics to assemble and wire industrial control panels, robotic peripherals, and HMI/ PLC hardware.
• Source and integrate best-in-class technology products into automation workcells.
• Document and communicate your work clearly for internal stakeholders.

Skills you will need to be successful

• Associate degree or 3 years of professional experience in Mechanical Engineering, Electrical Engineering or a related field.
• Demonstrable hands-on experience with mechanical assembly, electrical wiring, and debugging of lab or manufacturing systems.
• Experience installing and operating common industrial robot arms (e.g., KUKA, FANUC, ABB, UR).
• Proficiency in interpreting electrical and pneumatic schematics, with the ability to assemble industrial control panels.
• Experience managing lab maintenance, hardware inventory, and logistics processes.
• Willingness to work in ambiguity, select a direction, and drive towards a solution.

Skills that will differentiate your candidacy

• Experience with PLC programming or troubleshooting (e.g., Beckhoff, PILZ) and motion controllers.
• Professional experience with 3D printing, prototyping and machining (e.g., Drilling, Cutting, Soldering).
• Professional experience with CAD software for reviewing mechanical designs, layouts, and electrical systems.
• Demonstrable experience implementing safety circuitry and knowledge of industrial safety standards (e.g., ANSI/RIA R15.06, ISO 10218).
• Experience modifying or designing basic electrical and pneumatic schematics for automation equipment.
• Valid OSHA forklift certification.
• Willingness to travel domestically and internationally.

Role

In this role, you'll manage Intrinsic's Compensation programs, which span external offer compensation, annual compensation planning, promotions, internal transfers, and recognition programs, as well as the potential special projects such as M&A events. You'll also build out our nascent Analytics function, making data and insights more accessible to leaders and decision-makers. As Intrinsic grows, you'll further develop our total rewards philosophy to meet our evolving needs as a more mature group within Google. Additionally, given our small team size, this role will flex as a general program manager and operations analyst across the People space as needed.

How your work moves the mission forward

• Deliver Compensation Programs - Deliver our annual compensation planning program in alignment with our pay-for-performance philosophy.
• Own Compensation Operations - Run compensation operations for geo-transfers, role transfers, promotions, recognition programs, and other ad-hoc needs. Contribute to job architecture decisions as our business evolves.
• Lead Offer Negotiation Strategy - Partner with Recruiting and Finance to enhance our offer compensation strategy that ensures we continue to win top talent at a sustainable cost.
• Drive Insights through People Analytics - Identify where decisions could be helped with more data, and then provide that data in simple and accurate ways. More generally, ensure we're utilizing our existing infrastructure, systems, and tools to the best of our ability. Advocate for and drive improvements where possible.
• Contribute to Operational Excellence - Contribute to the team's broader operational excellence in your day-to-day work. Create automated audits and other checks to ensure data integrity.

Skills you will need to be successful

• 8 years of experience in Compensation in a high-growth environment.
• Mission-first, user-first attitude and approach.
• Clear and direct communication.
• Analytical skills (in Google Sheets or similar) that will allow you to independently run compensation programs and operations, turn data into insights, and separate signal from noise.
• Advanced analytical skills (in SQL or similar) that enable you to build dashboards and automated reporting for the compensation function and the broader People Team.
• Well-organized with high attention to detail, ensuring compensation data is always correct.

Skills that will differentiate your candidacy

• Knowledge of compensation norms and regulations across the United States, Germany, Singapore, Switzerland, and Canada.
• Familiarity with best-in-class tools, vendors, and partners across the Compensation space (e.g. Pave, Radford).
• Ability to benchmark compensation data, using tools such as Radford and Pave.

Role

As a Robotics Application Engineer specializing in Intelligent Manufacturing Automation, you will closely collaborate with our automation group and industry partners to advance manufacturing automation by extending our capabilities and solutions. Your daily responsibilities will include integrating and developing robotics solutions, including processes, software features and integrating state-of-the-art AI for manufacturing automation. You will be working with the team leading the deployment of impactful robotic systems in production.

How your work moves the mission forward

• Contribute to the technical development and integration of advanced robotic automation solutions for manufacturing automation, utilizing the Intrinsic platform, ROS and state-of-the-art AI capabilities.
• Collaborate closely with our research and industry partners to successfully integrate AI and automation capabilities into factory settings.
• Document designs, processes, and results, communicating effectively with internal technical teams and our partners.

Skills you will need to be successful

• Bachelor’s degree or equivalent practical background in Robotics Engineering, Software Engineering, or a related technical field.
• Foundational understanding of industrial robotics, motion control, and machine vision, with a strong desire to learn and contribute to their application in manufacturing environments.
• Programming proficiency with C++ and/or Python.
• Excellent collaboration skills, with the ability to work effectively with internal cross-functional teams and external technical partners during deployment and support.

Skills that will differentiate your candidacy

• Foundational understanding of AI concepts for perception, robotics and automation, with a strong desire to learn and contribute to their application in manufacturing environments.
• Experience with ROS 2 and its major frameworks.
• Experience with technologies such as Kubernetes, gRPC, Protobuf, Bazel, microservice architectures, and/or real-time systems.

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.

Role

We are seeking a highly organized and collaborative/community-focused Workplace Programs & User Experience Lead to oversee operations across our entire portfolio, including our corporate headquarters and technical R&D facilities.

At Intrinsic, our workplace is more than just a place to sit; it is a tool designed with our "Intrinsic Behaviors" in mind: mission first, build for others, create with curiosity, engage then commit, and be autonomous and accountable. Your primary focus will be on the "soft" side of workplace management: leading culture-building programs, food services, and high-impact events while ensuring our labs and offices remain safe, functional, and compliant.

How your work moves the mission forward

• Workplace Experience & Cultural Support: Enable a vibrant onsite culture by providing the high-quality "platforms" that drive belonging. You will lead the strategy for essential onsite programs like food services (cafes and MicroKitchens) and employee amenities, while partnering cross-functionally to provide the logistical backbone for community events that drive “buzz” and belonging.
• Soft Services Management: Direct the delivery of essential workplace services, including visitor experience, transportation/EV charging, shipping & receiving, and office amenities (supply closets, dog policy, etc.).
• Strategic Workplace Programming: Partner with leadership to foster spontaneous collaboration, utilizing open commons and collaborative zones to encourage cross-functional breakthroughs.
• Global Portfolio Oversight: Manage workplace operations across our locations (Mountain View, Munich, Singapore, Zurich, and Toronto), aligning strategy with long-term growth and business goals.
• Facilities Management: Oversee the day-to-day operations of our facilities, ensuring spaces are functional, inviting, and representative of the Intrinsic brand.
• Lab & Safety Compliance: Support high-energy lab environments by ensuring safety standards are met. Drive continuous improvement to enhance organization and efficiency.
• Financial & Stakeholder Management: Manage OpEx and CapEx budgets for workplace and culture programs, maintaining a "scrappy" mindset to optimize resources. 
• Stakeholder Partnership: Serve as a primary partner to leadership, HR, and Google REWS, translating business needs into actionable workplace and culture strategies.

Skills you will need to be successful

• Bachelor’s degree in Business, Real Estate, Engineering, or a related field. 
• 8+ years of progressive experience in corporate real estate, facilities management, and EH&S; particularly within research or dynamic start-up environments.
• Demonstrable experience managing a mixed portfolio of properties, including corporate offices and technical R&D or lab environments.
• Strong organizational, collaboration and communication skills, with the ability to partner laterally across technical & corporate teams.
• Strong financial acumen with experience managing multi-million dollar CapEx and OpEx budgets.
• Exceptional negotiation, communication, and stakeholder management skills, with the ability to influence at all levels.

Role

As a Technical Lead Manager on the Extensibility Squad, your mission is to empower software developers to access the Intrinsic platform APIs and to use Intrinsic tools to extend Flowstate. You will lead an engineering team responsible for making our platform software more readily available for external users, and have a large stake in efforts to work closer to ROS and other open-source ecosystems. We expect this role to be a mix of technical leadership, individual contribution, and people management. You will set technical direction, mentor your small team, and work hands-on with an SDK that involves a lot of C++, Python, and Protobuf, alongside a growing TypeScript codebase.

How your work moves the mission forward

• Empower software developers to access the Intrinsic platform APIs and to use Intrinsic tools to extend Flowstate.
• Lead the team in making our platform software more readily available and accessible for external users.
• Drive technical efforts to work closer to ROS and integrate deeply with other open-source ecosystems.
• Mentor engineers to foster technical growth while acting as a hands-on individual contributor.

Skills you will need to be successful

• Experience leading a team of software engineers.
• Advanced proficiency programming in at least one of C++, Python, or Go.
• Proficiency programming in at least two programming languages.
• Extensive experience with Protobuf.
• Experience contributing to or managing projects within open-source ecosystems.

Skills that will differentiate your candidacy

• Experience developing and maintaining a TypeScript codebase.
• Familiarity with ROS or other robotics software.
• Experience extending and maintaining Bazel infrastructure.

Role

As an Automation and Controls Engineer, you will design, build, and deploy robotic automation systems. You will collaborate with cross-functional teams and customers to determine system requirements, suggest automation layouts, and select and source hardware. You will actively program automation workcells and bring robotics solutions from initial concept through the execution of a successful delivery. Your work will involve continuous collaboration with software developers, product managers, and researchers to invent, maintain, and refine our robotic platforms.

How your work moves the mission forward

• Design and implement rapid, innovative robotic automation workcells, taking projects from hardware selection and electrical design to robot, PLC, and HMI programming.
• Collaborate with product managers, software developers, and researchers to maintain, improve, and invent our robotic platform from the ground up.
• Source and integrate best-in-class technology products into automation workcells.
• Evaluate and actively weigh decisions to build capabilities in-house versus partnering with external system integrators to build a solution.
• Concept new robotic automation applications and scope the effort, feasibility, and cost to build a solution.
• Establish hardware selection and PLC software standards by applying knowledge of industrial control systems.
• Document and communicate your work clearly for internal and external stakeholders.

Skills you will need to be successful

• Degree in Electrical Engineering, Controls Engineering, Mechanical Engineering or a related field.
• 3 years of professional experience applying robotics, PLC programming (e.g., Beckhoff, Pilz), fieldbus communication, or motion controllers to systems deployed in manufacturing facilities.
• Demonstrable experience with robot programming (e.g., Fanuc, KUKA, UR, ABB).
• Experience selecting components and designing electrical and pneumatic schematics for automation equipment, including the ability to assemble designed electrical panels.
• Proficient in debugging and wiring robotic industrial control systems.
• Willingness to work in ambiguity, select a direction, and drive towards a solution.

Skills that will differentiate your candidacy

• Experience designing and implementing safety circuitry and safety logic for use in industrial automation.
• Experience working with and managing vendors, from writing RFPs or SOWs to managing their execution and taking part in system acceptance tests.
• Exposure to numerous industries that use robotic automation.
• Willingness to travel domestically and internationally.

Role

In the role of Product Manager for Automation Experiences, you will be responsible for defining the essential user journeys that transition automation solutions from development to full-scale production. You will collaborate closely with solution developers and their end-user clients, necessitating roughly 10% travel, to identify and address the practical difficulties of deploying, managing, and maintaining these systems. Your insights will be instrumental in refining our software product experiences. By joining us, you help realize our core mission: enabling the global industry to reinvent the future of industrial automation.

How your work moves the mission forward

• Partner with Solution Builders and their end-user clients to gain insights into the requirements and obstacles associated with transferring, operating, maintaining, and debugging automation solutions.
• Work together with design and user research teams to construct a compelling, lucid strategy for integrating these user journeys into Intrinsic Platform tools and experiences.
• Maintain a rigorous focus on the user throughout the development of these journeys by providing engineering teams with detailed requirement specifications and impactful storytelling.

Skills you will need to be successful

• Bachelor's degree in a technical field, ideally automation, or equivalent industry experience.
• Proven ability to interpret user needs as technical specifications, maintaining a strong focus on the user while integrating these into comprehensive concepts and journeys.
• Proven collaboration with Engineering squads to deliver on the product vision.
• Strong analytical mindset with the ability to break down complex needs and challenges and drive effective solutions with curiosity.
• Integrity that fosters a culture of trust across product, business, and engineering.
• Outstanding communication skills, both with customers and with peers in English.

Skills that will differentiate your candidacy

• Experience in software engineering, SaaS, industrial automation and/or Robotics
• Familiarity with digital factory concepts along the automation pyramid (ERP, MES, SCADA/PLCs) and SaaS offerings around those.
• Experience with automation solutions and their operation in production environments.
• Willingness to explore new paths based on a solid understanding of state-of-the-art automation technologies and SaaS products.
• User-centric product management: Skilled in working with external stakeholders to uncover pain points and opportunities for new approaches.
• Ability to engage in technical conversations in German. 

Role

As a Product Marketing Manager at Intrinsic, you will serve as the platform expert for MarComm and central coordinator connecting our core technology to the people who use it. You will spend your time deeply embedded with our engineering and product teams to understand the Intrinsic platform, Flowstate developer environment, and our specific industrial solutions. Your focus is on the user experience beyond the first click, ensuring that whether a customer is an enterprise leader or a hands-on developer, they have the education, documentation, and communication engagement they need to succeed. You will act as a versatile collaborator who can shift from helping a product team refine a roadmap to working with designers on a new video tutorial or a set of technical docs. Along the way, you will guide, adapt and shape the interconnected roadmaps and plans that make Intrinsic’s platform scale.

How your work moves the mission forward

• Translate complex technical features from our robotics platform and Flowstate environment into clear, benefit-driven narratives for diverse audiences.
• Design and manage automated onboarding journeys and lifecycle email campaigns to educate users and drive long-term engagement with our platform.
• Produce high-quality technical content, including documentation, codelabs, and video guides, that helps developers build and deploy solutions faster.
• Collaborate with creative teams and designers to develop sophisticated, brand-aligned assets that meet high standards for quality and technical accuracy.
• Partner day-to-day with engineering and product leads to stay aligned on roadmaps, ensuring marketing efforts are ready for every launch and update.
• Organize and execute community-building initiatives like hackathons and webinars to foster a thriving ecosystem around our open and proprietary offerings.
• Manage user data and communication workflows within tools like HubSpot to track engagement and identify opportunities for education or upselling.

Skills you will need to be successful

• Experience in AI platform, enterprise/SaaS or developer-focused marketing for a technical software or hardware product.
• Direct experience creating technical documentation, tutorials, or educational content for a developer audience.
• Proficiency using CRM and marketing automation tools, such as HubSpot, to manage customer communications and lifecycle marketing.
• Ability to translate advanced technical concepts—such as AI, robotics, or software APIs—into accessible language for both business and technical users.
• Experience managing creative projects from brief to production while working closely with designers and agencies. From identifying agencies to delivery, you can run it all.
• 8 years of experience in product marketing, developer relations, or a closely related cross-functional role in the technology industry.

Skills that will differentiate your candidacy

• Familiarity with the robotics ecosystem or ‘hard tech’ products that combine physical hardware and software. 
• Experience in "full stack" marketing roles within a startup or high-growth environment where you have managed projects from strategy through execution.
• Proven ability to influence product roadmaps by synthesizing and advocating for user needs.
• Advanced writing skills with a portfolio that includes both technical guides and high-level business case studies.
• Background in managing developer communities or leading technical advocacy programs.

Role

The People team aims to continuously deliver Intrinsic's core People services with security, quality, consistency, and empathy. We design programs and processes from a user-first mindset with a bias for simplicity to make working at Intrinsic an enjoyable and rewarding experience.

In this role, you'll lead the People Programs and Operations team, whose goal is to keep our world-class talent at Intrinsic. To accomplish this, you'll design, build, and maintain the infrastructure, processes, and programs needed to further establish Intrinsic as a highly desirable place to work. You will have an opportunity to define the strategy that will lead Intrinsic into the future and then execute on that strategy to help scale the business.

How your work moves the mission forward

• Deliver Effective People Programs - Manage and improve our Performance Management, Promotion, and Engagement programs, ensuring they meet the evolving needs of the company. Work directly with senior stakeholders to understand requirements and develop scalable solutions.
• Lead Operationally Excellent People Operations - Ensure all core People and HR services work smoothly and efficiently for our employees and people managers (e.g. Onboarding, Relocation, Internal Mobility, Exits). Set goals and KPIs, simplify, optimize, and automate processes, implement robust knowledge management, and ensure we learn from each mistake or unexpected situation.
• Improve our Infrastructure - Own our HR technology roadmap, choosing and building solutions that meet the needs of our business and employees today and as we grow. Utilize the latest technologies to enable the team to focus their energies on high-leverage opportunities.
• Measure our Progress - Improve our reporting on programs and recurring processes. Communicate relevant insights and decisions to team and company leadership.
• Ensure Compliance - Liaise with Intrinsic’s Legal team to implement necessary regulatory requirements and controls. Lead compliance initiatives that cascade down from Google.

Skills you will need to be successful

• 10 years of experience in an HR/People Operations environment with broad knowledge across the employee lifecycle, including HR compliance.
• Mission-first, user-first attitude and approach.
• Clear and direct communication.
• Ability to manage complex projects across multiple functions.
• Ability to influence and drive results across all levels of the organization.
• Analytical skills (in Google Sheets or similar) that will allow you to independently run operations, turn data into insights, and separate signal from noise .
• Well-organized with high attention to detail, ensuring critical employee data is always correct.

Skills that will differentiate your candidacy

• Knowledge of employment norms and regulations across the United States, Germany, Singapore, Switzerland, and Canada.
• More advanced analytical skills (in SQL or similar) that enable you to connect backend employee data and build dashboards and automated reporting.
• Familiarity with best-in-class tools, vendors, and partners across the People and HR space.

Role

The People team aims to continuously deliver Intrinsic's core People services with security, quality, consistency, and empathy. We design programs and processes from a user-first mindset with a bias for simplicity to make working at Intrinsic an enjoyable and rewarding experience.

In this role, you'll lead the Recruiting Programs and Operations function, whose goal is to support and enable our Recruiting team to attract world-class talent. To accomplish this, you'll design, build, improve, and maintain the best-in-class infrastructure, processes, and programs needed to identify, assess, and hire the right talent. You will have an opportunity to define the strategy that will lead Intrinsic into the future and then execute on that strategy to help scale the business.

How your work moves the mission forward

• Lead Operationally Excellent Recruiting Operations - Ensure our recruiting engine runs smoothly for candidates, recruiters, hiring managers, and interviewers. Set goals and KPIs, drive continuous process improvement, implement robust knowledge management, and ensure we learn from each mistake or unexpected situation.
• Deliver Effective Student Programs - Manage our intern and other student programs, ensuring they meet the evolving needs of the company. Work directly with senior stakeholders to understand requirements and develop scalable solutions.
• Develop Intrinsic's Employer Brand - Develop values, norms, guidelines, and communication templates to help Intrinsic make a strong first impression on candidates and make the most of each interaction. More broadly, help candidates understand what it's like to work at Intrinsic's (hint: it's great!), and help potential candidates to become aware of us as a highly desirable employer.
• Improve our Infrastructure - Optimize our Applicant Tracking System and supporting infrastructure. Utilize the latest technologies to enable the team to focus their energies on high-leverage opportunities. Identify opportunities for consolidation or integration. Manage vendor relationships and contract negotiations.
• Own Recruiting Compliance - Ensure that every candidate is ready-to-hire at time of offer and ready-to-start before their first day. For each candidate, confirm that all offer and compensation details are correct, a background check has been adjudicated, they have a right to work in the country, and more. Liaise with Intrinsic Legal to uphold standards and implement necessary regulatory initiatives and requirements.
• Report our Progress - Work with recruiting leadership to develop regular reporting on our top KPIs. Ensure accuracy by monitoring data integrity in all Recruiting systems. Use this data to make recommendations for improvement.

Skills you will need to be successful

• 8 years of experience in a Recruiting Operations environment.
• Mission-first, user-first attitude and approach.
• Clear and direct communication.
• Ability to manage complex projects across multiple functions.
• Ability to influence and drive results across all levels of the organization.
• Analytical skills (in Google Sheets or similar) that will allow you to independently run operations, turn data into insights, and separate signal from noise.
• Well-organized with high attention to detail, ensuring critical employee data is always correct.

Skills that will differentiate your candidacy

• Knowledge of hiring norms and regulations across the United States, Germany, Singapore, and Switzerland.
• More advanced analytical skills (in SQL or similar) that enable you to connect backend employee data and build dashboards and automated reporting.
• Familiarity with best-in-class tools, vendors, and partners across the Recruiting space.

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.

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.

Role

As a software engineer focused on MLOps and deep learning infrastructure, you will design and build the foundational systems that empower robots with advanced machine learning capabilities. You will work within a cross-functional team of engineers and researchers to develop infrastructure that streamlines the training, evaluation, and deployment of large-scale AI models. Your efforts will provide accessible tools for injecting machine learning techniques into the Intrinsic stack, managing compute resources across cloud and on-premise environments, and ensuring that complex model lifecycles are efficient, reliable, and scalable for real-world industrial applications.

How your work moves the mission forward

• Design and implement scalable infrastructure for training and deploying deep learning models on top of a real-time robotic control stack.
• Help optimize data loading and training speed across 1000+ GPU training jobs.
• Build data pipelines that support distributed computing to process large volumes of robotics data for model training.
• Develop APIs and tools that allow internal and external researchers to easily integrate machine learning techniques into their workflows. This could involve leading efforts  to open source models and engage with the community.
• Optimize the allocation of compute resources, such as GPUs and TPUs, to reduce cost and latency during model development and create orchestration workflows to successfully run jobs on GKE.
• Create tools for model understanding and analysis to ensure reliability and traceability across the machine learning lifecycle.

Skills you will need to be successful

• Bachelor's degree in Computer Science, Robotics, Machine Learning, or a related technical field.
• 2 years of experience in software development with a focus on MLOps or machine learning infrastructure.
• Proficiency in programming with Python and C++.
• Experience with containerization and orchestration technologies, specifically Docker and Kubernetes.
• Experience with deep learning frameworks such as TensorFlow, JAX, or PyTorch.
• Experience with cloud computing platforms like Google Cloud Platform.
• Basic Front-end experience.

Skills that will differentiate your candidacy

• Master’s degree or PhD in Computer Science, Robotics, or a related field.
• Comprehensive knowledge of the entire image processing workflow, from initial sensor data acquisition (drivers, OS) up to the final application logic and decision-making.
• Experience with MLOps toolkits such as Kubeflow.
• Hands on experience with CUDA optimization or deep learning optimization. 
• Experience deploying machine learning models at scale in production environments.
• Familiarity with robotics systems or industrial automation hardware.
• Practical experience debugging distributed systems and optimizing network performance.
• Experience with accelerator orchestration (e.g., XManager).

Role

As a Robotics Software Engineer, you will develop innovative algorithms and strategies to facilitate robust grasping and manipulation in complex, real-world manufacturing environments. You will be responsible for abstracting the inherent complexity of robotic manipulation into intuitive, seamless workflows. By building a software layer that possesses a deep understanding of manufacturing tasks, you enable users to transition from design to execution without needing deep subject matter expertise. Working alongside a diverse team of roboticists and application engineers, you will integrate and validate solutions across various industrial tasks and contribute to the launch of impactful robotics products.

How your work moves the mission forward

• Design and implement robust and efficient production-ready algorithms for robotic grasping and manipulation.
• Identify opportunities to apply cutting-edge advancements in robotics and apply them to practical industrial problems.
• Transform complex partner requirements into highly reliable and functional technical outcomes.
• Improve our robotics software framework and contribute to a reliable product.

Skills you will need to be successful

• Master’s degree  in Robotics, Computer Science, or a related field, with 5+ years of experience in robotic manipulation.
• Strong foundation in linear algebra, spatial transformations, and rigid body dynamics.
• Hardware Experience: Direct experience testing and iterating on physical robots.
• 3 years of professional experience programming robotics software in C++ and Python,  with a proven track record of shipping production-quality code.

Skills that will differentiate your candidacy

• PhD in Robotics and Machine Learning,  Reinforcement Learning, or a related field with a focus on robotic manipulation.
• ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.
• Experience in developing the entire stack: ranging from writing kinematics, motion generation, to system integration and testing. 

Role

As a software engineer for Developer Experience, you are in the prime position to supercharge our engineering productivity. We are a fast paced org with a rapidly increasing install base of on-prem hardware and software moving real hardware in real time. We heavily leverage cloud platforms for our robots’ compute needs. Shaping and testing our internal engineering environment using state of the art tooling is an exciting challenge we tackle every day. 

How your work moves the mission forward

• Advance the buildout of Intrinsic's inner-loop infrastructure to develop, build, and test code. This is an opportunity to design and build a best-in-class developer infrastructure from the ground up, by integrating industry best practices with the latest advances in AI-powered development.
• Develop and evangelize best practices for building, packaging and deploying software for the next generation of robotics systems.

Skills you will need to be successful

• A degree in computer science or a related field.
• 3+ years of experience working as a software engineer or in software development
• Worked on a collaborative software project (10+ contributors) on a distributed VCS.
• Has contributed meaningfully to a project within one of  the following categories: build systems, CI/CD systems, code review, code search, or IDE integration/extensions.
• Experience with one of these coding languages: Golang, Python, Rust, and/or C++.

Skills that will differentiate your candidacy

• Experience with build systems (e.g. Blaze, Bazel, CMake, Ant, Maven, Gradle, Pants, …).
• Experience with distributed build farms (e.g. Buildbarn, Buildfarm, GCC CompileFarm, …).
• Experience with CI/CD systems (e.g. Jenkins, Travis, Circle CI, Spinnaker, Terraform). 
• Experience with integrating IDEs (e.g. Visual Studio Code, IntelliJ, Eclipse, …) into developer infrastructure.
• Experience with GitHub-based custom infrastructure and workflows (monorepo setups are a plus).
• Experience with AI-based dev/build/test/review tools.

We encourage you to apply to this post if you’re interested in software engineering roles but don’t see the right fit in our actively posted roles. When we post new roles, our recruiting team will review applicants and will reach out in case of a potential fit.

You should not expect to hear back from us if you apply to this job post.

We especially want to hear from you if:

• You think robotics should be made more widely accessible and available for manufacturing
• You are interested and proficient in modern software development and have shipped a significant amount of high-quality software
• You enjoy solving hard problems in rich interactive full-stack software, artificial intelligence, and robotics
• You have developed (or are interested in developing) tools and intuitive interfaces for robot functionalities. 
• Robot functionalities include but are not limited to (in no particular order): APIs for authoring, editing, and simulating robot workcells, building scalable compute infrastructure for microservices, perception and vision algorithms, multi-step task planning, motion and grasp planning, machine learning for contact-rich tasks, knowledge and scene representation, Industry 4.0 representations, robot safety, data security and privacy.

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Role

As a Senior Research Scientist focused on Robotic Foundation Models, you will be responsible for the design and implementation of systems that enable the training, deployment, and utilization of large-scale AI models for robotics. You will guide technical direction, mentor engineers, and ensure the development of robust, scalable ML models  required to make robots significantly more capable in real-world environments. Your work will empower both internal teams and external partners by providing accessible tools and infrastructure for injecting advanced machine learning techniques into robotic applications.

How your work moves the mission forward

• Lead the design and implementation of infrastructure and architecture of large-scale robotic foundation models.
• Oversee the training and deployment of robust ML models for high-performance robotic applications.
• Empower ML researchers and engineers with accessible tools and infrastructure for developing and applying AI techniques in robotics.
• Collaborate with product and engineering teams to define infrastructure requirements and deliver successful solutions for partners and customers.

Skills you will need to be successful

• PhD in Computer Science / Engineering with a specialization in Machine Learning and / or Robotics.
• Experience collaborating on medium to large software projects for at least 4 years.
• Experience in programming Python / C++ and machine learning frameworks (Tensorflow, JAX).
• Demonstrable experience with offline Reinforcement / Imitation Learning in a robotics context.
• Proven ability to work with a team, setting directions and driving towards solutions.

Skills that will differentiate your candidacy

• Academic track record of publications in the field of offline Reinforcement / Imitation Learning in Robotics.
• Experience with Robotic Foundation Models / Vision-Language-Action Models.
• Experience with Online Reinforcement Learning and / or Computer Vision for Robotics.
• Experience with deploying ML services at scale, e.g., via cloud computing and containerization (Google Cloud, Docker, Kubernetes), databases (SQL, no-SQL), and service-oriented architecture frameworks.

Role

As a Senior Research Scientist in the Applied Research team, you conduct applied research and design innovative algorithms in the space of geometric computer vision and image/video/vision-centric foundation models for deployment in industrial robotics at scale. In this role you define processes and develop approaches in Deep Learning that mitigate the risks of hallucinations, improve accuracy and deploy algorithms on industrial robotics workcells to gauge sim-to-real transfer of models. As a Senior Research Scientist at Intrinsic you provide input and guidance for the development and generation of synthetic data and annotations required for training foundation models at scale based on the identification of gaps in the sim-to-real transfer of models. You also work with Research partners and cross-disciplinary engineering teams to ideate new approaches and architectures to bring state of the art foundation models to real-world industrial applications. Constant learning and exploration of unfamiliar technologies is also part of this role. 

How your work moves the mission forward

Your work can play a significant role in democratizing access to advanced AI skills to the average user in robotics and enhance the credibility of deploying AI models at scale in industrial settings. As part of your day-to-day work: 

• You are insightful and innovative, proactively identifying needs and bottlenecks based on customer problems and proposing practical solutions that are deployable in high throughput environments.
• You serve as the nexus between the robotics team and our research partners—collaborating with them, providing engineering insights into research projects, and ideating practical next generation solutions. 
• You serve as an advisor to the engineering and other cross-functional teams providing critical guidance in terms of translating early (AI-powered) research capabilities into robust engineering capabilities in Flowstate (Intrinsic’s software platform for robotics solutions).
• You continually keep abreast of the latest developments in deep learning, AI, machine learning, perception to ensure that Intrinsic can continually keep evolving its advanced capabilities over time.
• Document and develop the prototype fully so it can be shipped to external users. 

In all the above, you will work closely with a sub-team within the R&D division, but will also frequently collaborate with other engineering, and product groups within Intrinsic.

Skills you will need to be successful

• Master’s or PhD degree in Computer Science, Robotics, or a related technical field with a high degree of passion for robotics and foundation models and a strong inclination towards accelerating the deployment of such models in practical industrial manufacturing applications.
• 3 years of experience in robotics software development or research (work on your PhD can count towards this).
• Proficiency programming in Python and at least one of the ML/DL frameworks such as PyTorch, Jax, and/or Tensorflow.
• Knowledge of robotics perception or manipulation algorithms.
• Experience working with robot hardware or simulation environments.
• A team player with a product mindset, a willingness to learn, and apply oneself to delivering value in practical real-world problems.

Skills that will differentiate your candidacy

• Advanced degree (Master's or PhD) in Robotics, Computer Science, or a related technical field.
• Expertise in deep learning, including transformer-based approaches for robotics, and other areas such as Learning from Demonstrations, Reinforcement learning.
• Proven ability to apply robotics ML/AI research to real-world problems and demonstrate tangible impact.
• Experience generating or utilizing synthetic data for machine learning in robotics.
• Publications in relevant robotics conferences or journals.

Role

As a Senior Research Engineer focused on Data Engine, you will be responsible for the design and implementation of systems that enable the training, deployment, and utilization of large-scale AI models for robotics. You will guide technical direction, mentor engineers, and ensure the development of robust, scalable data pipelines and ML infrastructure required to make robots significantly more capable in real-world environments. Your work will empower both internal teams and external partners by providing accessible tools and infrastructure for injecting advanced machine learning techniques into robotic applications.

How your work moves the mission forward

• Lead the design and implementation of infrastructure for training and deploying large-scale robotic foundation models.
• Oversee the building and maintenance of data pipelines for collecting, processing, and feeding real-world robot data into machine learning workflows.
• Empower ML researchers and engineers with accessible tools and infrastructure for developing and applying AI techniques in robotics.
• Collaborate with product and engineering teams to define infrastructure requirements and deliver successful solutions for partners and customers.

Skills you will need to be successful

• Four-year degree in Computer Science.
• Experience collaborating on medium to large software projects for at least 4 years.
• Experience in programming Python / C++.
• Experience with machine learning (Tensorflow, JAX), cloud computing and containerization (Google Cloud, Docker, Kubernetes), database (SQL, no-SQL), and service-oriented architecture frameworks.
• Proven ability to work with a team, setting directions and driving towards solutions.

Skills that will differentiate your candidacy

• PhD in Computer Science / Engineering with a specialization in Machine Learning and / or Robotics.
• Academic track record of publications in the field of Machine Learning and / or Robotics.
• Experience with Robotic Foundation Models / Vision-Language-Action Models.
• Experience with deploying ML services at scale.

Role

As a Staff Robotics Software Engineer and Researcher, you will take full technical ownership of developing and deploying robotics grasping and manipulation algorithms, leading the end-to-end lifecycle from foundational research to global deployment. You will help define the architecture and long-term strategy that enables robots to interact with the physical world, researching and scoping innovative solutions for robust grasping in industrial settings. By abstracting the inherent complexity of robotic manipulation into intuitive workflows, you will work with a multidisciplinary team to integrate and validate high-availability software within complex, real-world industrial applications for manufacturing environments.

How your work moves the mission forward

• Design and implement robust and efficient production-ready algorithms for robotic grasping and manipulation.
• Identify opportunities to apply cutting-edge advancements in robotics and apply them to practical industrial problems.
• Transform complex partner requirements into highly reliable and functional technical outcomes.
• Mentor junior engineers, contribute to the strategic roadmap and drive the evolution of our robotic software stack for global industrial deployment.

Skills you will need to be successful

• Master’s degree  in Robotics, Computer Science, or a related field, with 8+ years of experience in robotic manipulation.
• 2 years of leading substantial, ambiguous  technical projects from inception to deployment. 
• Strong foundational knowledge in linear algebra, spatial transformations, and rigid body dynamics.
• 6 years of professional experience programming robotics software in C++ and Python,  with a proven track record of shipping production-quality code.
• Experience Machine Learning  in applied robotics context.

Skills that will differentiate your candidacy

• PhD in Robotics and Machine Learning,  Reinforcement Learning, or a related field with a focus on robotic manipulation.
• ML Frameworks: Deep expertise with JAX, TensorFlow, or PyTorch.
• Experience in developing the entire stack: ranging from writing kinematics, motion generation, to system integration and testing. 

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.

We encourage you to apply to this role if you’re interested in opportunities at Intrinsic, but don’t see the right fit in our actively posted roles. This is best suitable for non-technical functions (e.g. people, finance, legal, etc). 

When we post new roles, our recruiting team will review applicants and will reach out in case of a potential fit. You should not expect to hear back from us if you apply to this job post.

We especially want to hear from you if:

• You think robotics should be made more widely accessible and available for manufacturing,
• You are interested and have experience scaling non-technical functions from 0-1,
• You think robots are interesting, and would like to learn more.

#LI-DNI

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.

We encourage you to apply to this role if you’re interested in roboticist roles but don’t see the right fit in our actively posted roles. When we post new roles, our recruiting team will review applicants and will reach out in case of a potential fit.

You should not expect to hear back from us if you apply to this job post.

We especially want to hear from you if:

• You think robotics should be made more widely accessible and available for manufacturing,
• You are interested and proficient in modern software development (e.g. C++) in addition to PLC programming (e.g. ladder logic) used in modern controllers,
• You have written end-to-end robotics applications or have built/integrated robotic hardware (i.e. workcells) in industry,
• You have implemented and shipped software for robot functionalities. 
• Robot functionalities include but are not limited to (in no particular order): robot motion and grasp planning, real-time motion control, robot safety.

#LI-DNI