Product Engineer - Multimodal AI & Robotics

About Robot Health™

Robot Health is building the world’s largest autonomous healthcare workforce, starting in the home. We develop and deploy physical AI to address the rapidly worsening staffing shortages for non-medical home care. We’re building out all the key pieces of an autonomous caregiver: emotional intelligence, memory and personality, and physical capability. Each is in some ways superhuman, but all are grounded deeply in elevating the humanity of professional caregivers, family members, and aging individuals themselves.

The Role

You’ll work at the intersection of hardware, AI, and service delivery, integrating across robotic platforms, frontier models, edge infrastructure, simulation-based validation, and care workflows to build solutions that don’t exist yet. This isn’t a single-layer job. You’ll be stitching together the full composite: selecting and adapting hardware, wiring up AI systems that run in real time, and shaping how it all comes together in a live caregiving environment. The work is varied, fast-moving, and touches production systems that serve real seniors in real homes.

What you will do:

• Architect and optimize real-time voice & vision pipeline that drives the robot to human engagement.
• Design and tune voice & physical interaction behaviors that allows the robot to interact naturally with multiple humans at the same time, not just like a 1:1 voice agent.
• Develop long-term & short-term memory persistence and retrieval logic to properly inform robot-human interactions.
• Develop and deploy full inference stacks like vLLM/Triton on edge devices like NVIDIA Jetson.
• Experiment with SLAM, VLA, and other technical stacks to make our robots safe and efficient for home use.
• Develop holistic applications on top of SOTA robotic models, humanoid or otherwise.
• Ship. Constantly. We deploy to real environments with real users.

What We’re Looking For

We care far more about how you think and build than what’s on your resume:

• AI-native workflow: You use AI coding tools (Claude Code, Cursor, etc.) as a core part of how you work: not as an experiment, but as your default. You understand that the leverage comes from strong system design sense and knowing how to direct AI, not from memorizing syntax.
• Strong system design instincts: You can take a fuzzy problem (“make body language-based communication in a multi-speaker conversation environment feel natural”) and decompose it into concrete, buildable components. You think in architecture, not just code.
• Solid programming chops: You don’t need to be an expert in everything, but you need to be dangerous enough to build and ship full systems. Proficiency in Python is preferred but not required.
• High agency: You can take a nebulous task and run with it. You don’t wait for specs. You form a point of view, move fast, and adjust when you learn something new.
• Fast learner, strong communicator: You pick up new domains quickly. You can explain your thinking clearly. You challenge ideas with substance, not ego.
• Genuine excitement about the mission: You think AI and robotics in healthcare is one of the most important things being built right now. You want to be in the room where it happens.

Nice to Have

• Experience with real-time multi-modal pipelines, WebRTC, and streaming inference.
• Experience with computer vision models (YOLO, mediapipe).
• Experience with inference stack (Jetson/Jetpack, vLLM, Triton).
• Exposure to robotics frameworks (ROS2, SLAM, VLM/VLA models).
• Experience building LLM-powered applications with tool use, memory, or multi-turn reasoning.
• Prior work in healthcare, elder care, or other high-stakes, real-world deployment environments.

Who This Role Is NOT For

• If you need detailed specs and well-defined tickets to be productive, this isn’t the right environment. We’re building things that have never been built, ambiguity is the default.
• If you want to work on a single, well-scoped problem in isolation, you’ll be frustrated here. We need people who can context-switch, collaborate intensely, and still drive things forward independently.
• If you are skeptical of AI-driven development, we’re not a fit. AI-native tooling is how we operate, full stop.
• If you optimize for process over progress, we are in the wrong stage for you.

Interested? Reach out directly. No cover letter needed, just show us what you’ve built. Must be authorized to work in the U.S. without sponsorship.