Principal Robotics Platform Architect

What you'll do

• Define and deliver the end-to-end software architecture for the robotics platform, including middleware, runtime, and inter-process communication.
• Design the onboard, edge, and cloud compute architecture for real-time execution on production machines.
• Establish technical standards, APIs, and reference designs to enable autonomy, machine learning, and simulation teams.
• Develop detailed architecture deliverables and IT blueprints to solve complex business problems and align with corporate strategies.
• Lead the evaluation and deployment of new technologies to enhance existing digital technical capabilities.
• Translate business requirements into technical application designs using established methodologies and tools.
• Provide technical direction and govern technology decisions across multiple engineering organizations.
• Manage the software integration of perception, planning, and controls to deliver reliable autonomous behavior.

What we're looking for

• This position requires the candidate to work full-time at the Irving, TX office.
• Knowledge of technologies and methods to design processing mechanisms and roadmaps to execute business application systems.
• Knowledge of application design and architecture principles to convert business requirements into technical application designs.
• Knowledge of techniques and tools to determine the root cause of organizational problems and create alternative solutions.
• Knowledge of tools and methods for requirement analysis to elicit and record business functionality and non-functionality requirements.
• Knowledge of target architecture to develop IT blueprints and roadmaps aligned with business strategies.
• Strong experience architecting robot software platforms including middleware, runtime, inter-process communication, and platform services (preferred).
• Experience defining onboard, edge, and cloud compute architecture, real-time execution, and resource management for production robotic systems (preferred).
• Demonstrated ability to define APIs, reference designs, and standards to accelerate autonomy, machine learning, and simulation teams (preferred).
• Deep understanding of how perception, planning, controls, and machine platforms integrate at the software layer (preferred).
• Ability to influence senior leaders, define architectural roadmaps, and provide technical direction across multiple engineering organizations (preferred).
• Progressive career in software engineering and architecture with a focus on robotics or platform software at a senior or principal level (preferred).
• Strong understanding of Agile SDLC implementation in public cloud ecosystems including CI/CD and test automation (preferred).
• Excellent communication skills to mentor, coach, and persuade others on new technologies and potential solutions (preferred).