Senior Reliability Engineer at Skydio

San Mateo, California, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

230000.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Reliability Engineering, Data Analysis, Failure Analysis, Statistical Models, Python, SQL, Electronics, Mechanical Systems, Software Engineering, Risk Assessment, Prognostic Models, Test Strategies, Root Cause Analysis, Design Reviews, Customer Analytics, Hands-On Testing

Industry

Aviation and Aerospace Component Manufacturing

Description

Skydio is the leading US drone company and the world leader in autonomous flight, the key technology for the future of drones and aerial mobility. The Skydio team combines deep expertise in artificial intelligence, best-in-class hardware and software product development, operational excellence, and customer obsession to empower a broader, more diverse audience of drone users. From utility inspectors to first responders, soldiers in battlefield scenarios and beyond. About the role: Autonomous systems bring together electronics hardware, sensing, and real-time AI software. The complexity of the systems combined with the fact they can move freely in the real world, makes the development, performance, and reliability strategy a key element of delivering a great product. We are seeking a driven and versatile Senior Reliability Engineer to help drive safety and reliability initiatives, develop prognostic models and analyze field data to enable effective resource allocation and health metrics field issues for state-of-the-art autonomous flying machines servicing a broad range of enterprise, public safety, and defense applications. How you will make an impact: Immerse yourself in massive datasets from developmental flight telemetry and robust customer analytics to identify problems before they occur, perform risk assessments, develop prognostic and conditioned based maintenance protocols, and anchor our reliability test specs firmly in usage data Work with product development, embedded software, quality, manufacturing, and suppliers to define and execute comprehensive test strategies from early prototyping stages through volume production, enabling earliest possible discovery of failure modes for complex electro-mechanical autonomous systems Collaborate with mechanical, electrical and software engineering teams to perform failure analysis, identify root cause, implement corrective actions, resolve system issues, and help develop process/design mitigations Contribute to design reviews and provide key design for reliability inputs to mitigate risks from first prototypes to first customer shipment and beyond A keen interest in contributing across multiple domains to make Skydio products the default choice for users in challenging environments Useful skills and experience: Deep curiosity with 4+ years experience hands-on development, testing, modelling, and delivery of highly reliable complex systems Extensive knowledge of the physics of failure and integration risks of one or more critical electronics subsystems such as batteries, cameras, compute systems, or electronic sensors, with application of statistical models to ensure the reliability of the product Strong understanding of reliability analysis principles and the limitations in the methods that may lead to inaccurate conclusions Proficient in Python and SQL to adeptly manage and analyze large datasets, uncovering correlations and trends between our drones, their operational environments, and diverse use cases A systems-engineering approach to problem solving, and a knack for rapidly identifying issues within mechanical, electrical, and software domains; strong desire to drive failure analyses to true root cause. Enthusiastic tendencies toward diving into hands on testing, characterization and failure analysis A passion for communicating the nuances of hardware reliability to internal and external cross functional teams to help drive organizational priorities Compensation: At Skydio, our compensation packages for regular, full-time employees include competitive base salaries, equity in the form of stock options, and comprehensive benefits packages. Compensation will vary based on factors, including skill level, proficiencies, transferable knowledge, and experience. Relocation assistance may also be provided for eligible roles. The annual base salary range for this position is $170,000-$230,000. Fundamentally, we believe that equity is the key to long-term financial growth, and we ensure all regular, full-time employees have the opportunity to significantly benefit from the company's success. Regular, full-time employees are eligible to enroll in the Company’s group health insurance plans. Regular, full-time employees are eligible to receive the following benefits: Paid vacation time, sick leave, holiday pay and 401K savings plan. This position and all associated benefits are subject to applicable federal, state, and local laws, as well as the Company’s policies and eligibility criteria. *Compensation for certain positions may vary based on the position’s location. #LI-WA1 At Skydio we believe that diversity drives innovation. We have created a multidisciplinary environment that embraces the power of diverse perspectives to create elegant solutions for complex problems. We are committed to growing our network of people, programs, and resources to nurture an inclusive culture. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by federal, state or local anti-discrimination laws. For positions located in the United States of America, Skydio, Inc. uses E-Verify to confirm employment eligibility. To learn more about E-Verify, including your rights and responsibilities, please visit https://www.e-verify.gov/

Responsibilities

The Senior Reliability Engineer will drive safety and reliability initiatives, develop prognostic models, and analyze field data for autonomous flying machines. They will collaborate with various engineering teams to perform failure analysis and contribute to design reviews.