Sr Reliability Engineer

About EVgo EVgo (Nasdaq: EVGO) is one of the nation’s largest public fast charging networks for electric vehicles. Our mission is to build a sustainable business that powers our transportation and protects our planet. As a leader in clean transportation, EVgo sits at the intersection of technology, infrastructure, and innovation. We are rapidly expanding our national footprint through strategic partnerships with retailers, automakers, rideshare, and fleets, bringing fast charging to communities across the country. EVgo enables drivers of all makes and models to charge where they want, when they want. At EVgo, sustainability is not just what we do; it is who we are. We are committed to reducing carbon emissions, advancing clean energy solutions, and building infrastructure that supports a more sustainable future. We believe great companies are built by great people. Our culture is mission driven, customer centric, collaborative, and innovative, with a strong focus on creating an environment where employees can grow and make a lasting positive impact. Position Summary We are seeking a Senior Reliability Engineer for an onsite position in El Segundo, CA. The role evaluates, predicts, and enhances product reliability through statistical analysis, reliability modeling, and testing. Responsibilities include life data analysis, reliability risk assessment, system‑level modeling, and collaboration with cross‑functional teams to ensure products meet performance and reliability targets throughout the development lifecycle. The ideal candidate has a strong background in reliability statistics and Weibull analysis, reliability testing (ALT/HALT/HASS), failure analysis and risk methods (FMEA/FTA), and data analysis using reliability tools. Responsibilities Perform life data analysis using the Weibull distribution to evaluate product reliability and predict failure behavior. Analyze time‑to‑failure data from laboratory testing, accelerated life testing (ALT), HALT, HASS, and field returns to identify reliability trends and failure patterns. Develop reliability models, perform system‑level reliability assessments, and apply reliability growth methodologies to track and improve product performance. Conduct reliability risk assessments using Failure Mode and Effects Analysis, DFMEA, and Fault Tree Analysis to identify potential failure modes and mitigation strategies. Lead root‑cause investigations and failure analysis for anomalies identified during testing or field performance. Clean, organize, and analyze reliability datasets, generate metrics (MTBF, MTTF, B10 life), and communicate insights to engineering teams and management. Collaborate with design, quality, and manufacturing teams to improve product reliability throughout the development lifecycle. Qualifications Minimum of 5 years related experience with a Bachelor’s degree; or 3 years and a Master’s degree; or a PhD without experience; or equivalent work experience. Desired Skills Strong knowledge of reliability engineering principles, life data analysis, and product failure mechanisms. Experience performing Weibull analysis and applying statistical distributions such as Weibull distribution, exponential, and lognormal. Experience with reliability risk assessment methods (FMEA, DFMEA, FTA) and executing reliability testing including ALT, HALT, and HASS. Strong statistical analysis and data interpretation skills with experience analyzing time‑to‑failure datasets and reliability metrics. Experience with reliability and statistical software tools such as ReliaSoft Weibull++, Ansys Sherlock, Minitab, and programming/analytical tools such as Python, R, or MATLAB. Strong analytical, problem‑solving, organizational, and communication skills with the ability to present technical findings and reliability insights to cross‑functional teams and management. Detail‑oriented and methodical, able to identify patterns, anomalies, and failure trends in datasets. Collaborative mindset, working effectively with design, quality, manufacturing, and test engineering teams. Proactive and data‑driven, able to identify potential reliability risks early in the product lifecycle and recommend mitigation strategies. Organized and able to manage multiple reliability assessments, testing activities, and projects simultaneously. Continuous learner, staying updated on emerging reliability engineering methods, statistical techniques, and analytical tools. Benefits and Perks Health & Wellness: Medical, dental, vision coverage, mental wellbeing support, and wellness programs. Financial Benefits: 401(k), Health Savings Account (HSA), Flexible Spending Accounts (FSA) for medical and dependent care, life and disability insurance. Work‑Life Support: Uncapped paid time off, enhanced parental leave, and Employee Assistance Program (EAP). Care Navigation & Support: Access to Health Advocate services for claims assistance, provider searches, and care decisions. Flexible Care Options: Telehealth services for convenient, low‑cost access to care. Growth & Development: Mentorship programs and opportunities for career growth and internal mobility. Additional Perks: Monthly Tech Stipend, one‑time home office setup reimbursement, volunteer time off, commuter benefits, and employee‑focused programs. Additional Information Actual salary may vary based on knowledge, skills, experience, and location. We offer a competitive base salary, discretionary target cash bonuses, restricted stock units (subject to Board Approval), and a comprehensive benefits package including health, life, and disability insurance, paid time off including parental leave, and a 401(k). EVgo is an equal‑opportunity employer and provides reasonable accommodation to individuals with disabilities. We are committed to creating an equitable and inclusive workplace where everyone feels welcome. By submitting this application, you acknowledge that you are sharing personal information with EVgo. By proceeding, you consent to EVgo’s Privacy Policy and Privacy Notice for California Residents. For more details about how personal information is collected and used, see our privacy notice. Pay range for this role: 108,500 – 135,600 USD per year. #J-18808-Ljbffr EVgo Services LLC