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# Staff Planner SW Quality Architect

- **Company:** WAABI PARTNERS
- **Location:** Dallas, TX, United States (Remote available)
- **Salary:** $245,000.0 - $285,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Unit Testing, C++ (Programming Language), Code Review, Fault Tolerance, Python (Programming Language), Search Algorithms, Motion Planning, Software Engineering, Information Technology, Data Generation
- **Published:** October 23, 2026
- **Apply:** https://www.thejobnetwork.com/job/344e90cb-817e-4e22-9f83-1a2fd626e86d/staff-planner-sw-quality-architect

## About the Role

* MS/PhD or Bachelor degree with a minimum of 6 years of industry experience in Computer Science, Robotics and/or similar technical field(s) of study.
 * Experience owning software on a shipped product with reliability requirements.
 * Strong grasp of software engineering principles (i.e. code review, unit testing, scalability, maintainability, SW architecture, full lifecycle).
 * Experience in planning/decision making approaches (e.g., optimal control, optimization based approaches, search methods, probabilistic decision making).
 * Production-quality coding skill in Python or C++.
 * Open-minded and collaborative team player with the willingness to help others.
 * Able to maintain progress towards long-term goals while working on short-term problems.
 * Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.

## Description

* Lead the SW Quality of our Planner Architecture, focusing on building robust fault-tolerance systems to resolve critical downstream/upstream performance bottlenecks and ensure continuous, safe vehicle operation.
 * Act as a critical technical bridge and enabler between the Motion Planning and the Onboard SW Teams, driving overall SW quality improvement and reliability.
 * Design and develop motion planning software and algorithms, building the brain which orchestrates decision making in dynamic, uncertain and interactive traffic scenarios.
 * Be part of a team of multidisciplinary Engineers and Research Scientists using an AI-first approach to enable safe self-driving at scale.
 * Manage the experimentation pipeline for research and data generation.