Senior Robotics Software Engineer - Autonomy

Persona AI is building a rugged humanoid platform to supplement the industrial skilled-labor workforce. Our robots are designed to perform complex tasks such as welding, grinding, and painting in demanding real-world environments.

To succeed, they must understand the job site, translate high-level objectives into executable plans, carry out those plans safely and reactively, and adapt as conditions change. We are looking for a Senior Robotics Software Engineer - Autonomy to help design and build the autonomy stack that enables these capabilities, from simulation through deployment on the shop floor.

This role combines world modeling with proven autonomy techniques to develop intelligent behaviors for humanoids operating at live industrial sites. We train the robot’s world model on representative industrial tasks and environments, giving it a deep understanding of the work it must perform. Before each new deployment, we then refine and validate its behavior in a digital twin simulation of the customer’s facility to ensure safety, reliability, and performance.

Design and implement autonomy and behavior coordination algorithms for an industrial humanoid platform

Work with manipulation, locomotion, and perception engineers to integrate robot skills into autonomous robot behaviors

Develop plan execution approaches that combine classical control and learned policies

Design and implement behavior execution that is reactive, safe, adaptable, and explainable

Implement data curation pipelines that enable our robots to understand a variety of real-world industrial tasks

Develop synthetic data generation pipelines for post-training of humanoid world models

Design and implement pipelines for autonomous behavior evaluation, benchmarking, and regression testing

MS or PhD in Robotics, Computer Science, or a related field

5+ years of professional experience in robotics, with a primary focus on autonomy

2+ years of experience applying world models to planning, reasoning, and scene understanding

Experience with plan execution approaches such as behavior trees and state machines

World model benchmarking and post-training experience in a robotics domain

Strong hands-on experience with NVIDIA Cosmos and IsaacSim

Experience with synthetic data generation, data curation, and benchmark evaluation

Strong fundamentals in Python, C++, data structures and algorithms, git, code review, CI/CD