VP, Teleportation

Job description

Mundane is a venture-backed seed-stage robot learning startup founded by a team of Stanford researchers and builders. We’re deploying a massive fleet of humanoid robots to perform mundane tasks in commercial environments, collecting data to build the next generation of embodied intelligence. We’re a fast-paced, execution-driven team of engineers, roboticists, and dreamers.

Our mission is simple and audacious: build robots that feel human to control — systems that extend human intent into the physical world with immediacy, precision, and grace.

About the Role

As VP of Teleportation , you will lead the design of the sensory and cognitive bridge that connects humans to Mundane’s humanoid robots — a telepresence interface so seamless that distance disappears.

You’ll architect the systems that let operators see, feel, and act through robots as if they were there themselves . Your work will unify cutting-edge visualization, human-computer interaction, and robotic control into an integrated experience that defines the future of human-AI symbiosis.

This is not a design role. It’s a frontier research and systems leadership position — one that spans computer vision, HCI, telepresence, XR, and low-latency distributed systems . You’ll collaborate directly with Mundane’s founders, robotics engineers, and AI researchers to invent the interaction layer that makes humanoid intelligence deployable at scale.

Responsibilities

Architect and lead the development of Mundane’s teleoperation and telepresence stack — spanning perception, visualization, and interaction design.

Define and prototype new paradigms for human–robot shared embodiment , combining vision, control, and cognitive feedback in real time.

Lead applied research on operator performance, situational awareness, and embodied cognition in teleoperation.

Build high-fidelity visualization pipelines integrating multi-sensor inputs — RGB, depth, LiDAR, and proprioceptive state.

Collaborate with ML and controls teams to develop closed-loop learning systems that fuse human feedback with robot adaptation.

Explore VR/XR and spatial computing interfaces for immersive control and situational presence.

Publish and present frontier work in HRI, CVPR, ICRA, SIGGRAPH, CHI , or equivalent venues to help define the state of the art in embodied telepresence.

Qualifications

Must-Haves

Advanced background in Human–Computer Interaction , Computer Vision , Robotics , or Cognitive Systems .

Proven experience building or leading teleoperation, XR, or perception-based interaction systems at scale.

Strong expertise in real-time rendering , image processing , or sensor fusion (Unity, Unreal, CUDA, OpenCV, ROS2).

Deep understanding of low-latency streaming architectures and human perceptual thresholds (WebRTC, custom protocols, etc.).

Ability to drive end-to-end system design — from experiment to deployment — across interdisciplinary research teams.

Bonus

Prior leadership at a frontier lab (Meta Reality Labs, Apple Vision Products, NVIDIA Robotics, Boston Dynamics AI Institute, etc.).

Experience with VR telepresence, neural rendering, or world models for shared autonomy.

Published work in HRI, IROS, ICRA, CoRL, SIGGRAPH, or CHI .

Track record of building teams that bridge research and productization of embodied or immersive systems.

What You’ll Get

Full ownership of the human–robot teleportation layer — the interface that defines how intelligence moves between human and machine.

Early equity with meaningful upside in a venture-backed company building the foundation of embodied AI.

The opportunity to deploy your work across a real humanoid robot fleet , not simulations.

Influence over the design of the company’s next-generation learning systems — where teleoperation becomes co-learning.

The chance to define the visual and cognitive language of human–AI symbiosis .

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Who can apply

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