Forward-Deployed Engineer
DimOS
Forward-Deployed Engineer
DimOS
Modern operating system for generalist robotics
About Dimensional
Dimensional is building the foundation for physical intelligence in general-purpose robotics. We develop a unified framework that enables robots to perceive, reason, learn, and act across diverse real-world environments and embodiments. Dimensional’s mission is to make physical intelligence programmable, scalable, and accessible -- accelerating the development of generalist robots that can adapt, learn, and perform reliably in the real world.
Our platform sits between robot hardware and AI models, providing a modular, composable architecture for training and deploying robotic intelligence at scale. By abstracting hardware differences and standardizing core capabilities—such as perception, spatial understanding, decision-making, and control—Dimensional allows developers and partners to build, transfer, and operate robotic skills efficiently across platforms.
About This Role
We’re looking for a Forward-Deployed Engineer to work directly at the intersection of customers, software, and physical robotic systems. This role is about closing the last 10%: taking cutting-edge robotics software and making it work reliably in real-world environments. You’ll partner closely with end users to understand their workflows, deploy systems in the wild, and translate real-world constraints into product and engineering improvements. While experience with physical hardware is a plus, our core mission is to dramatically lower the barrier to deploying robots — strong software engineers with customer-facing experience are encouraged to apply.
Core Responsibilities
Deploy, configure, and adapt the Dimensional robotics platform in real-world customer environments.
Partner directly with users to gather requirements, understand operational constraints, and identify edge cases encountered in production.
Serve as a key interface between product, engineering, and customers, ensuring tight feedback loops and rapid iteration.
Own end-to-end real-world implementations, from initial system setup and validation through stable, long-term operation.
Contribute production-quality, maintainable code to the core platform codebase, informed by deployment learnings.
Help define, document, and standardize best practices for deploying and operating robotic systems at scale.
What We Look For
Prior experience in forward-deployed engineering, solutions engineering, or other customer-facing technical roles.
Strong software engineering fundamentals, including the ability to design, implement, and maintain production-quality systems.
Comfort working with real-world systems characterized by incomplete information, hardware constraints, and operational uncertainty.
Demonstrated ability to translate ambiguous customer requirements into well-defined technical solutions and execution plans.
Excellent written and verbal communication skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
Preferred Qualifications
Demonstrated experience deploying and operating physical hardware systems in real-world environments.
Professional background at forward-deployed or deployment-intensive organizations (e.g., Palantir, Anduril, or similar).
Prior exposure to robotics, embedded systems, automation, or related physical systems domains.
Dimensional is an equal opportunity employer committed to diversity and inclusion, supporting all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
At Dimensional, accessibility is a fundamental human right. By welcoming diverse perspectives, we help you build a career where you feel you belong.
DimOS operates as an open-source operating system for controlling robots, letting developers build physical-world applications in Python without the traditional Robot Operating System (ROS) framework. Its platform combines SLAM-based navigation and mapping, computer vision and perception, spatial memory for object tracking, and natural-language agent control, running across humanoids, quadrupeds, robotic arms, and drones. What sets DimOS apart is its agent-native, Python-first design, letting teams command robots with plain-language instructions and prototype behaviors through reusable blueprints instead of low-level middleware. The goal is to become the standard SDK for generalist robotics, partnering with hardware makers to make advanced autonomy accessible to more developers.
Explore more opportunities at DimOS