Job Title: Senior Robotics Software Engineer, Autonomy
Department: Software Engineering
Employment Type: Full-Time
FLSA Status: Exempt
Location: Houston, TX
Travel: 10%
About the RolePersona 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.
What You Will Be Doing- Design and implement autonomy and behavior coordination algorithms for an industrial humanoid platform
- Work with manipulation, navigation, perception, and teleop 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
- Integrate autonomy with robot safety, health monitoring, bring-up, and safe shutdown
- Design and implement pipelines for autonomous behavior evaluation, benchmarking, and regression testing
- 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
What We Are Looking For:- MS or PhD in Robotics, Computer Science, or a related field
- 5+ years of professional experience in robotics, with a primary focus on autonomy
- Experience with plan execution approaches such as behavior trees and state machines
- Strong hands-on experience with NVIDIA IsaacSim and Mujoco for robotic simulation
- Strong fundamentals in Python, C++, data structures and algorithms, git, code review, CI/CD
- Experience with synthetic data generation, data curation, and benchmark evaluation
Bonus Skills:- Exposure to humanoid robot locomotion, navigation, manipulation, or perception
- Experience with NVIDIA Isaac Lab for reinforcement learning environment setup and training
- Experience with ROS2 libraries for autonomous planning and navigation
- Experience with generative and symbolic planning approaches
- Experience using VLAs/VLMs to generate task plans for autonomous robots
- World model benchmarking and post-training experience in a robotics domain
- Experience applying world models to planning, reasoning, and scene understanding (e.g. NVIDIA Cosmos)
- Experience with semantic mapping and scene understanding for autonomous mobile robots
