Staff Robot Platform Engineer
Job Title: Staff Robot Platform Engineer
Department: Software Engineering
Reports To: Principal Software Engineer
Employment Type: Full-Time
Location: Houston, TX
Travel: 20%
Who We Are
Persona AI is building humanoid robots for the most demanding environments in heavy industry - shipyards, steel mills, fabrication facilities, and offshore platforms - performing welding, grinding, maintenance, inspection, and material-handling work that is dangerous, physically demanding, and increasingly difficult to staff.
We are backed by leading strategic and financial investors and engaged with global industrial leaders across Korea, Japan, the United States, and Singapore. Korea is the center of gravity for our early commercial strategy, anchored by relationships with the world’s leading shipbuilders and steelmakers. Our work spans both the robot platform itself and the systems, partners, and playbooks required to deploy it at scale.
Why Join Persona AI?
We offer competitive compensation, a performance-based bonus, 99% employer covered medical benefits, early-stage equity, competitive PTO, and a company-wide paid winter break between December 24th and January 2nd.
You’ll shape technology that’s redefining the possibilities of robotics and human interaction.
Work alongside passionate teammates who value creativity, and continuous learning.
About the Role
Platform owns the foundational software that runs on the robot itself: the layer between raw hardware and everything else we build. You'll drive our real-time control stack, our hardware abstraction layer, and the robot API/SDK that every other team (controls, perception, behaviors, ops tooling) builds against.
What You Will Be Doing
Build and harden the real-time control loops that turn high-level commands into coordinated joint motion, with hard timing guarantees and deterministic execution from the actuator level up through whole-body behavior
Own the hardware abstraction layer end to end (cyclic data paths, synchronization and timing constraints, and fault recovery), so perception, planning, and behaviors never have to care which actuator, sensor, or hardware generation sits underneath
Design and evolve the robot API/SDK (the interface every downstream team programs against), with an eye toward long-term stability, clean versioning, and abstraction boundaries that hold up as the hardware evolves
Own the messaging layer connecting every on-robot process, with low-latency, deterministic delivery guarantees
Build the diagnostics and health-monitoring hooks (fault detection, state reporting, and safe paths for degraded operation) that let every other team trust what the platform tells them about the robot's state
Set technical direction for platform architecture (interface boundaries, backend abstractions, design reviews) and mentor engineers across the team
What We Are Looking For:
8+ years in systems/embedded/real-time software engineering, with meaningful time in robotics, autonomous vehicles, or another hard real-time domain
Deep C++ fluency and comfort reasoning about real-time constraints, latency budgets, and determinism
Hands-on EtherCAT experience (master implementation, PDO/SDO, cyclic vs. acyclic data) or an equivalent fieldbus/deterministic networking background
A track record designing clean hardware abstraction layers, backend-agnostic interfaces, and/or public-facing SDKs or APIs that held up across hardware revisions or product generations
A bias toward architecturally simple, verifiable systems, and comfort pushing back on unvalidated assumptions in design review
Bachelor’s Degree in computer science or related field
Bonus Skills:
Rust, Zenoh, Jetson/embedded GPU platforms, momentum-observer or F/T-based force estimation, Pinocchio or similar dynamics libraries
Persona AI is an Equal Opportunity Employer.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by applicable federal, state, or local law.