Senior Quality Assurance & Reliability Engineer

Reliable Robotics•Mountain View, CA

10d•$165,000 - $22,000•Onsite

About The Position

We believe aircraft should fly themselves. Automated aviation systems will enable a future where air transportation is safer, more convenient, and fundamentally transformative to the way goods â and eventually people â move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics, and self-driving cars working to make this future a reality. As a Sr. Quality Assurance and Reliability Engineer, you'll be a part of the Production organization. Youâll bring the technical leadership required to verify product safety and reliability, lead investigations, identify and implement corrective actions, and ensure improvements are implemented. This is a small but growing team of highly motivated people who are passionate about delivering quality products and services with velocity and unquestionable value. You will be responsible for the strategy and execution of the quality management system, risk mitigation, risk prevention, design reliability, hardware reliability, flight reliability, test validation, and production optimization. As Reliable Robotics continues to grow and scale, youâll be responsible for increasing the velocity of the business, maturing processes, and building automations to enable company success. The projects you work on will set the foundation for how the business operates for years to come. This is a fantastic opportunity to work in a safety-critical environment that takes automated aviation systems from prototype to production in a hands-on environment.

Requirements

Bachelor's Degree in Mechanical Engineering, Electrical Engineering, Aerospace, Software Engineering, or a similar advanced degree
7+ years of professional experience in design engineering, manufacturing, test, software, or quality and reliability engineering
2+ years of professional experience with investigations, design of experiments, and other investigatory and problem-solving methods
Experience with quality, risk, and/or safety management systems and processes

Nice To Haves

2+ years of experience with Federal Aviation Administration (FAA) regulatory requirements (e.g., 14 CFR 21, DO-160, D0-254, etc.)
2+ years of programming experience in Python, C, or SQL with an emphasis on data analysis and automation
Experience evaluating, defining, strategizing, and executing test campaigns and procedures
Experience developing engineering infrastructure and tools in support of the Quality Management System (QMS)
Excellent written and verbal communication skills

Responsibilities

Work with the design, manufacturing, test, and flight teams to produce reliable products, ensure compliance, and drive continuous improvement across the business. Youâll have the opportunity to work directly with flight hardware in the factory and on the plane, run investigations and containment on safety-critical products, and watch your processes build the first certifiable autonomous aircraft.
Partner with design, manufacturing, and test teams through product development, acceptance testing, and quality checkouts to create reliable hardware verification for flight components and systems, including identification of key operating characteristics, prototype development testing for functionality and manufacturability, flight and prototype planning development, and collation of test anomalies and lessons learned.
Develop and manage the quality management system to ensure compliance with processes, work instructions, certifications, and regulatory requirements.
Investigate anomalies in manufacturing, supply chain, testing, and flight, identifying and mitigating the immediate and underlying root causes to manage risk and improve the reliability of designs and processes.
Support the development, manufacturing, and verification of products using continuous improvement and statistical techniques.
Develop, implement, and validate test and inspection methodologies for new and existing products, ensuring objective criteria are consistently met and quality goals are met.
Derive, automate, and report quality metrics to the business and provide recommendations for design, product, and process improvements.