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

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 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 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 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.

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.