Sensor Reliability Engineer

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Our flagship product, the Tensor Robocar, is the world’s first personal Robocar and the first AI agentic vehicle — fully autonomous, automotive-grade, and built for private ownership at scale. Founded in 2016 in Silicon Valley, Tensor is headquartered in San Jose, California, with offices in Barcelona, Singapore, and Dubai. At Tensor, we champion personal AI autonomy and ownership. Our vision is to build a future where everyone owns their own Artificial General Intelligence — a personal AGI that enables more time, freedom, and autonomy. We’re forging an alternative path where AGI serves only you, and is controlled solely by you. We provide a competitive compensation package, opportunities for professional growth, participation in a discretionary equity incentive plan, and access to a comprehensive company benefits program, subject to eligibility requirements. Join us to shape the future! Work with brilliant minds on technology transforming automotive industry and make a lasting impact.‍LocationsSan Jose, California, US (Salary Range: $75k—$300k USD)Barcelona, Catalonia, SpainSingaporeDubai, UAEResponsibilitiesAnalyze failure mechanisms and time interval of autonomous driving sensors. Develop models that simulate the impact of high temperatures, rain, snow, dust, etc., on sensor performance during vehicle operation, combining theory, simulation, and experimentation. Develop failure models for related components and modules such as electronics, mechanics, optics, chips, heating, and cleaning systems. Review experimental data, failure models, and lifetime assessments provided by suppliers, and provide feedback and suggestions for improvement. Assist in reliability testing of autonomous driving sensors and work with the R&D team to improve designs. Summarize and maintain sensor reliability documentation, support production data analysis, and assist with product quality and yield analysis. QualificationsBachelor's degree with more than five years of work experience, or master's degree with more than three years of work experience, preferably in reliability testing, modeling, or evaluation. Strong background in mathematics, physics, and statistics. Familiar with software development processes, proficient in using Python/MATLAB for modeling and data analysis, and able to read C/C++ code. Strong technical communication skills and be a good team player. PreferencesExperience in the reliability of LiDAR, millimeter-wave radar, cameras, and other sensors. Experience in the autonomous driving industry. Familiarity with industry standards such as SN 29500, IEC 62380, IEC 61709. We appreciate your interest in joining Tensor. Tensor is an equal employment opportunity employer, dedicated to fostering a respectful, supportive, and inclusive workplace for all. We do not discriminate against, and strictly prohibit harassment of, any applicant or employee on the basis of race, color, sex, sexual orientation, gender identity or expression, religion, national origin, age, disability, military or veteran status, genetic information, or any other characteristic protected by applicable law. Tensor also considers qualified applicants with criminal histories in accordance with applicable laws. We are committed to providing equal opportunities for qualified individuals with disabilities. Tensor is an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Sensor Reliability EngineerSafety and System EngineeringFull-TimeSan Jose, California, USSingaporeDubai, UAEBarcelona, SpainLocationSan Jose, California, US Barcelona, Catalonia, SpainSingaporeDubai, UAEPortfolio URLFirst NameLast Name (Optional)EmailPhone NumberJob IDResumeUploading...fileuploaded.jpgUpload failed. Max size for files is 10 MB. Your messageThank you! Your submission has been received! Oops! Something went wrong while submitting the form. Designed in California. Available around the world. Join our Priority ListGet to know me. Sign up to get the latest news, announcements and updates direct to yo