Robotics Engineer, Physical AI Systems (SF Onsite)

AItoolnavio; San Francisco (CA); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

401(k) and full health insurance

Breakfast, lunch, and dinner covered,+

Ubers covered home

Job summary

Sieve is seeking its first roboticist to own the physical AI data systems—robots, capture rigs, and teleoperation stations. You’ll carry projects from parts on a table to production-ready setups at partner sites, handling both hardware and software end-to-end.

You’ll work with real equipment daily, wiring, calibrating sensors, and ensuring repeatable, reliable data. The role requires hands-on deployment experience, strong Python/C++, Linux, and ROS/ROS2, and the ability to build scalable

Qualifications

• 3+ years of experience building robotic, mechatronic, or controls systems (background in robotics, EE, ME, or similar).
• Systems you've deployed beyond the lab (in a factory, warehouse, field site, or customer site), plus stories about what failed and what you changed.
• Hands-on bring-up and integration of robots, and comfortable troubleshooting anywhere from firmware to wiring to application code.
• Comfortable at a workbench: soldering, building and repairing harnesses, tracking down power faults, and debugging CAN, serial, USB, and Ethernet links.
• Production-quality Python and C++ for hardware that runs outside the lab (Rust welcome); fluent in Linux and ROS/ROS2.
• Disciplined engineering habits: test plans before builds, documentation for what you ship, and measurements to back up claims.
• Able to context switch at a moment's notice
• In-person at our SF HQ [+ travel to partner sites: % TBD]

Responsibilities

• Capture rigs: Design and bring up the hardware we record with: multi-camera arrays, head- and wrist-mounted egocentric cameras, depth/IMU/force sensor packages, and teleoperation stations such as leader-follower arms.
• Calibration and time sync: Own camera intrinsics and extrinsics, hardware triggering, and clock alignment across cameras, IMUs, and encoders. If the streams don't line up, the dataset isn't usable.
• Root-cause failures: When a motor stalls, a camera drops frames, a power rail sags, or a bus goes quiet, find the actual cause and fix it so it stays fixed.
• Field deployments: Set up and operate systems at partner sites. Build them to survive daily use, to be run by operators without robotics backgrounds, and to be repaired quickly on site.
• Robot and capture software: Write and maintain drivers, ROS/ROS2 integration, recording and logging, and QA checks that run at capture time and hand data straight to Sieve's pipelines.
• Repeatable builds: Produce BOMs, assembly docs, validation plans, and SOPs so we can stand up the same setup at the next ten sites without you there.
• Team foundations: As the first hire in this area, set the hardware architecture, interfaces, test standards, and engineering culture for the physical AI team.

Skills

Robotics systems

Python

C++

Linux

ROS/ROS2

Hardware bring-up

Diagnostics

Context switching

Tools

SolidWorks

Onshape

KiCad

Altium

Job description

Sieve is seeking its first roboticist to own the physical AI data systems—robots, capture rigs, and teleoperation stations. You’ll carry projects from parts on a table to production-ready setups at partner sites, handling both hardware and software end-to-end.

You’ll work with real equipment daily, wiring, calibrating sensors, and ensuring repeatable, reliable data. The role requires hands-on deployment experience, strong Python/C++, Linux, and ROS/ROS2, and the ability to build scalable