We are building the founding engineering team.

Founding engineer position  ·  Meaningful equity  ·  Market salary once round closes

The Role

You own the physical robot. That means the arm architecture, actuator selection, structural design, gripper system, and power architecture — including our hot-swap battery system designed for multi-shift continuous operation. You are the person who knows what breaks in the real world versus what breaks in simulation, and you design for the former.

V1 is a wheeled upper-humanoid: full torso, dual arms, dexterous multi-finger hands, mounted on a wheeled base. First deployment is intra-factory material transfer — picking standardized containers of 5–15 kg and placing them at line-side stations across a flat factory floor. The object set is constrained. The environment is structured. Your job is to make the hardware work reliably for 20+ hours a day.

What You Will Own

• Arm and actuator architecture: define the degrees of freedom, actuator types, and mechanical design for v1.
• Gripper design: build a force-sensing gripper optimized for our first deployment object set, with a clear upgrade path as the task library expands.
• Hot-swap battery system: design the mechanical and power architecture that enables continuous multi-shift operation without shutdown.
• Structural design and manufacturing: design for real-world durability, field serviceability, and eventual volume manufacturing.

Founding engineer position  ·  Meaningful equity  ·  Market salary once round closes

The Role

You own how the robot learns and sees. That means the full pipeline: demonstration capture from real customer environments, imitation learning and fine-tuning on deployment data, vision-language model integration for task understanding, and the fleet learning architecture that transfers knowledge across every new deployment.

Our core methodology is differentiated: we train directly from workers performing their existing tasks in the real deployment environment — not from simulation or controlled lab conditions. Every customer site becomes a training data source. Every deployment improves every subsequent deployment. You are building the system that makes that flywheel work.

What You Will Own

• Demonstration capture methodology: design the sensor and data capture pipeline for recording human task demonstrations in live industrial environments.
• Imitation learning pipeline: build and deploy the fine-tuning system that adapts foundation model priors to specific deployment tasks.
• Perception stack: RGB-D vision plus task-specific models, designed for onboard inference in environments with unreliable connectivity.
• Fleet learning architecture: cloud-connected knowledge transfer so every deployment improves the platform globally.

Founding engineer position  ·  Meaningful equity  ·  Market salary once round closes

The Role

You own the gap between a policy that works in a demo and a robot that runs reliably for 20+ hours a day in a real customer facility. That means real-time motion control, actuator drivers, safety systems, latency-critical software, and the teleoperation fallback that keeps the system operational during the supervised pilot period.

V1 is a wheeled upper-humanoid with dual arms executing defined intra-factory workflows. The environment is structured. The task set is constrained. Your job is to make the control architecture bulletproof enough to meet a 95% task completion rate and less than 5% human intervention rate after initial calibration — the thresholds our pilot customer has defined as the minimum for economic viability.

What You Will Own

• Real-time motion control: write the control software that runs on real hardware under real timing constraints for dual-arm manipulation and mobile base coordination.
• Actuator integration: bring up motor drivers, force sensors, and joint controllers for the arm architecture the hardware team defines.
• Safety systems: design the safety architecture that allows supervised autonomous operation in a real industrial environment with humans present.
• Teleoperation fallback: build the remote operation capability that is operational from day one — the human-in-the-loop system that handles edge cases during the pilot.

Founding engineer position  ·  Meaningful equity  ·  Market salary once round closes

The Role

Most robots that work in a lab never make it into a customer facility. You are the reason ours does.

You are the person who holds the full stack together and gets the robot actually operating in a customer environment. That means sensor fusion, hardware-software integration, deployment tooling, the operator-facing interface, and field debugging when something fails in a factory at 2am.

Every other engineer on the founding team builds components. You integrate them into a system that works in the real world, ship it into a customer facility, and keep it running through the paid pilot. The 12-month deployment milestone runs through you.

What You Will Own

• Systems integration: own the full stack — hardware, software, sensors, compute — and make sure all components work as a unified system in a real environment.
• Sensor fusion: integrate RGB-D cameras, force sensors, and navigation sensors into a coherent real-time perception and control pipeline.
• Deployment tooling: build the internal tooling for configuring robots for new customer environments, updating task policies, and monitoring fleet health.
• Operator interface: build the minimal operator-facing dashboard that gives customer teams visibility into robot status and allows supervised fallback during the pilot.
• Field deployment: work directly inside the first customer environments to validate integration, debug real-world failures, and collect the operational data that drives improvement.