Physical Intelligence·San Francisco·5 дн назад
Fullstack Software Engineer, Robot Interfaces
Ориентир по рынку≈ 247 000 – 950 000 ₽наша приблизительная оценка по 9 вакансиям этой роли и грейда, у работодателя вилка не указана
🏢 ОфисMiddleПолная занятость
Вилки нет, про деньги придётся договариваться с нуля.
Вакансия на английскомПереведёт заголовок и описание вакансии на русский
Наша компания
Fullstack builds the internal software the rest of Pi runs on. Our users span the path from research intent to physical execution: researchers designing experiments and requesting data, Research Ops working across task design, environments, prototyping, and instructions, and Production Ops running collection, evals, and deployments across our lab, warehouse, and real-world sites.
Чем предстоит заниматься
Own the human-robot interfaces: The software people use to run, monitor, and debug robots, from setup and calibration through live operation and review. Someone lives in this for an entire shift, and small friction compounds fast
Design for the whole shift, not just the episode: Time on a robot is a fraction of the day. The rest is preparation, troubleshooting, handoffs, and feedback, spread today across several tools and several people. The goal is not to expose every tool, but to build one surface that tells someone what deserves their attention now and notices when they're stuck
Design for safety: Make state unambiguous, make failure obvious, and make the safe action the easy one. Assume the network drops mid-episode or a camera dies, and design so the system degrades predictably rather than surprisingly
Own the realtime edge: Video, robot state, and control at latency budgets tight enough that teleoperation feels direct, plus the controllers, headsets, pedals, and sensors people drive with
Draw the line between device and cloud: Decide what has to stay local because it is safety-critical or latency-sensitive, and what belongs in a control plane that owns identity, state, and coordination across sites
Ship into the physical world: On-prem and on-device deployment, versioning and rollout across lab, warehouse, and partner sites, and enough observability to know what is running where
Make the work measurable: Instrument these interfaces well enough that we can see where the operation loses time, then test changes against it
Act as your own PM: Gather requirements, prioritize, define success metrics, ship, and drive adoption. That starts by standing in the room and watching a shift
Наши требования
Former founder, early employee, or other demonstration of comfort with ambiguity and solving hard problems end to end
Experience with teleoperation, robotics, or other robot-adjacent software
Experience with safety-critical or industrial systems (control room, medical device, aviation, automotive, or similar) where interface decisions carry real consequences
Hardware-adjacent background: firmware, embedded, device integration, or having shipped software alongside a physical product
Experience with workflow, dispatch, or scheduling systems that direct human work in the physical world
Experience with our specific stack: React, TypeScript, Python, Postgres, GCP, and Kubernetes
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records
Strong fullstack engineering experience building production web applications and APIs, especially with React, TypeScript, and Python
Realtime web experience: WebRTC, WebSockets, streaming video, state synchronization, and the debugging that comes with all of it
Comfort with binary wire formats and schema-defined interfaces: protobuf, gRPC, or similar. Most of what these interfaces talk to is not a REST API
Experience shipping software that runs on machines you do not administer: on-prem or on-device deployment, degraded-network operation, versioning across a fleet
Strong UX instincts for high-stakes, high-frequency interfaces, where the user is standing up, under time pressure, and a mistake has physical consequences
Comfort designing workflows where people, hardware, and software have to function as one system
Strong product judgment, and experience working directly with users through ambiguous workflows and evolving requirements