Durability Analytics Engineer
Навыки
- Внимание к деталям
- Решения на данных
- MATLAB
- Machine Learning
- NumPy
- Pandas
- Python
Ещё 5
- SMM
- Spark
- SQL
- Тест-кейсы и чек-листы
- Временные ряды
О компании и продукте
- Rivian is on a mission to keep the world adventurous forever. This goes for the emissions-free Electric Adventure Vehicles we build, and the curious, courageous souls we seek to attract.
- As a company, we constantly challenge what’s possible, never simply accepting what has always been done. We reframe old problems, seek new solutions and operate comfortably in areas that are unknown. Our backgrounds are diverse, but our team shares a love of the outdoors and a desire to protect it for future generations.
- The Durability Attribute engineers predict and test the range of loads and stresses Rivian vehicles will experience over life and need to be durable for—a challenging prediction problem with many unknowns. With access to large-scale vehicle fleet data and software-defined vehicles that offer greater scope for control and autonomy, vehicle durability is at the forefront of data-driven engineering at Rivian ensuring the “Forever” in Rivian’s mission of Keeping the World Adventurous Forever.
Задачи
- Fleet Data Analytics
- Develop fleet data analyses mapping travel, driving, road infrastructure, and vehicle usage across the US and other markets
- Build classification models to identify usage archetypes, usage frequency, and their correlations
- Data-Driven Modeling and Standardization
- Develop and validate machine learning models to estimate vehicle loads, drive events, fatigue damage, and vibration spectra from vehicle CAN data signals, wheel-force transducer data, or accelerometer data
- Develop models to standardize vibration spectra at different vehicle locations across vehicle variants and platforms
- Learn from simulation and test data to develop a library of regression models for variance in component loads and fatigue damage with variations in system design parameters and usage types
- Process Optimization
- Automate processes such as component block cycle development and accelerated duty cycle development from real-world duty cycle
Требования
- Bachelor's degree in Mechanical Engineering, Aerospace Engineering, Computer Science or similar
- A good understanding of vehicle physics and automotive engineering, is preferred
- Passion for Rivian’s mission and commitment to fostering an inclusive, respectful, and collaborative workplace
- 1-3 years experience in data analytics for automotive or related engineering applications, preferred
- Experience with Python (Pandas, Numpy), PySpark, Matlab, and SQL applied to big datasets
- Project or research experience with large time series datasets is desired
- Demonstrated expertise with various machine learning techniques applied to automotive use data, test data, or simulation data
- Experience in fatigue life estimation (e.g., Rainflow counting, Miner’s Rule) and statistical methods (e.g., Weibull analysis)
- Demonstrated experience in analytical writing (reports, white papers, publications) and clear-and-concise presentations, with attention to detail
- Pay Disclosure
- This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting
- An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, geographic location, shift, and organizational needs
- You may also have the opportunity to participate in Rivian’s 401(k) Plan and Employee Stock Purchase Program if you meet certain eligibility requirements
- Full-time employee coverage is effective on their first day of employment
- Part-time employee coverage is effective the first of the month following 90 days of employment
- More information about benefits is available at rivianbenefits.com
- You can apply for this role through careers.rivian.com (or through internal-careers-rivian.icims.com if you are a current employee)
- This job is not expected to be closed any sooner than 4/30/2026
- Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws
- Rivian is committed to ensuring that our hiring process is accessible for persons with disabilities
- If you have a disability or limitation, such as those covered by the Americans with Disabilities Act, that requires accommodations to assist you in the search and application process, please email us at candidateaccommodations@rivian.com
- (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks
Условия
- The salary range for this role is $96,700 - $120,900 for California (Bay area) based applicants
- The successful candidate may be eligible for annual performance bonus and equity awards
- We offer a comprehensive package of benefits for full-time and part-time employees, their spouse or domestic partner, and children up to age 26, including but not limited to paid vacation, paid sick leave, and a competitive portfolio of insurance benefits including life, medical, dental, vision, short-term disability insurance, and long-term disability insurance to eligible employees
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История публикации
Появилась в Вакандии24 дня
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ГрейдMiddleвыведено из другого признака
Формат работыГибридвычитано из текста вакансии
ГеографияIrvine, СШАвычитано из текста вакансии
Зарплата96 700 USD — 120 900 USD в годвычитано из текста вакансии
Почему на этом месте в выдаче
Порядок выдачи объявлен контрактом: свежесть решает между днями, полнота и зарплата — внутри дня.
Полнота карточки1004 из 4 полей: грейд, формат, география, зарплата
Зарплата названа100вилку назвал источник
Проверка Вакандии
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- Тип источника
- Кадровое агентство
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- careerОсновная публикация · 2026-08-18
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Признаки мошенничества
- Просят предоплату, «залог» или деньги за обучение и оборудование.
- Требуют код из SMS, данные банковской карты или доступ к «Госуслугам».
- Быстро уводят в мессенджер и торопят с решением.
- Обещают большой доход без опыта и без деталей задач.
Настоящий работодатель не просит денег и платёжных данных до трудоустройства.
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