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About the Role
This is a founding go-to-market role focused on establishing Asimov, an open-source humanoid robot platform, within leading US university labs, AI research organizations, and corporate R&D groups. You will own the entire sales cycle from initial technical conversation to expansion, acting as a bridge between researcher needs and robot capabilities.
Responsibilities
- Build and own a territory of university AI and robotics labs, corporate research organizations, and physical-AI startups.
- Develop direct relationships with lab directors, principal investigators, research scientists, AI engineers, data teams, and corporate R&D leaders.
- Run technical discovery around each customer's research objectives, existing robotics and ML stack, data requirements, model-development workflow, training/fine-tuning/sim environment, support needs, and decision process.
- Determine whether Asimov is the right platform, and recommend the right robot configuration, accessories, software interfaces, data-collection tools, services, and initial deployment.
- Transport, set up, operate, and demonstrate Asimov at customer labs, conferences, workshops, campus roadshows, and private events.
- Convert successful initial deployments into larger lab, department, corporate R&D, and multi-site purchases.
- Bring requirements and competitive feedback back into Menlo's product, engineering, manufacturing, support, and docs teams.
- Represent Menlo credibly across the physical-AI, embodied-AI, robotics, and academic-research communities and conferences.
Requirements
- Demonstrated experience producing paid commercial adoption inside AI labs, robotics labs, corporate AI research groups, or closely comparable technical R&D organizations.
- Technical fluency to discuss ROS 2, Linux, Python, networking, and robot software integration.
- Technical fluency to discuss perception, control, manipulation, locomotion, and sensor interfaces.
- Technical fluency to discuss VLMs, VLAs, world models, imitation learning, reinforcement learning, and policy deployment.
- Technical fluency to discuss teleoperation, demonstration collection, robotics datasets, simulation, and sim-to-real workflows.
- Technical fluency to discuss on-robot or edge inference, latency, compute constraints, and hardware/software tradeoffs.
- Comfort working hands-on with physical robots: setting up demonstrations, diagnosing ordinary problems, and escalating deeper engineering issues with useful technical context.
- Ability and willingness to travel frequently within your assigned US territory.
- Technical public-presentation experience.
Skills
- ROS 2
- Linux
- Python
- Networking
- Robot software integration
- Perception
- Control
- Manipulation
- Locomotion
- Sensor interfaces
- VLMs
- VLAs
- World models
- Imitation learning
- Reinforcement learning
- Policy deployment
- Teleoperation
- Demonstration collection
- Robotics datasets
- Simulation
- Sim-to-real workflows
- On-robot inference
- Edge inference
- Latency management
- Compute constraints
- Hardware/software tradeoffs
- Physical robot operation
- Technical public presentation
Location
- US
Work Type
- Full-time
Experience Level
- Founding role
- Prior engineering or research work in robotics, machine learning, embodied AI, autonomous systems, computer vision, controls, or a related domain (Nice to Have)
- Experience selling into the robotics ecosystem (Nice to Have)
About the Company
- Menlo Research is an Applied R&D lab building Asimov, an open-source humanoid robot platform, and the full software stack that powers it.
- Our mission is to make humanoid labor economically viable, turning software into physical labor at scale.
- We build across the full stack: hardware architecture, locomotion, autonomy, simulation, and infrastructure.
- We move fast, ship to real robots, and open-source everything we can.
- If you want your work to matter beyond a paper or a demo, this is the place.
Equal Opportunity
- We hire talented people from a wide range of backgrounds. If you're excited about a role but don't meet every bullet, we still encourage you to apply.
- Menlo Research is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic.
- Menlo provides reasonable accommodations during the application process. If you need one, please let your recruiter know.