Vp, teleportation

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.

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.

• 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.

• 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.

• 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.

• 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
  .