Forward Deployed Engineer

About Enact

The next defining technological breakthrough will be in the physical world. We stand at a historical inflection point: bringing general-purpose intelligence into robotics.

At Enact we rethink the entire robotic tech stack from model architectures and data pipelines, to the actuators and sensors that feed the model. Pushing beyond pure vision and language approaches, we build a proprioceptive nerve system, and the cortex that makes sense of it, to solve dexterity through whole-body force-awareness and deploy robots for thousands of tasks in industry and beyond.

We are shaping a company where brilliant and unconventional people thrive together on solving the hardest challenges of our time. We are truth seekers. We reason from first principles, test our beliefs against reality, and trust that the best ideas can come from anyone. We move fast. We care deeply about our work and colleagues and are driven by passion to change the status quo.

If this resonates, we're excited to hear from you.

In This Role You Will

• Bridge the gap between core research and real-world deployment: Transition our robot working in a lab to it providing value to our end customers.

• Solve end-to-end integration challenges: Iterate directly with the hardware and AI teams to improve our product and make sure it fits customer needs.

• Drive field testing and iteration: Lead on-site deployments (travel to customer sites expected), perform in-the-field debugging, and gather crucial real-world data to drive subsequent iterations of our technology.

What We're Looking For

• Systems Integration proficiency: A track record of navigating and interfacing with complex, foreign systems, APIs, and networks to build the bridges between our stack and the operational environments of our customers.

• Hands-on deployment experience: Proven track record of taking software and hardware from a simulation/lab environment and successfully deploying it in unpredictable, real-world settings.

• Excellent problem solving: Ability to debug complex, multi-layered system failures - from hardware communication issues to model performance bottlenecks - without relying on existing documentation.

• Communication & Collaboration: A collaborative spirit and curiosity to continuously improve our product, together with researchers and customers, bringing physical AI from the lab to the real world.

Bonus Points If You Have

• Deep Learning deployment experience: Familiarity with deploying models on edge hardware (Jetson Thor).