Location | Tustin, California |
Years of Experience | Must be actively pursuing a degree in Electrical Engineering, Computer Science, or a related field, with experience or interest in data science and data analysis. Proficiency in programming languages such as C, C++, SQL, and Python, with experience in Python libraries for plotting and data visualization. Familiarity with statistical tools like JMP and ReliaSoft (can be learned on the job). Knowledge of memory technologies (NAND, SSD) and degradation modeling is highly desirable. Data Analysis Experience: Experience in handling and interpreting large datasets; ability to develop and apply statistical models. Collaborative Experience: Demonstrated ability to collaborate across teams; previous internship experience preferred, especially with cross-functional or interdisciplinary projects. Tools: Familiarity with Google Suite (Google Docs, Sheets), DVC files, and related data processing tools is beneficial. 40 hours/week, full-time #LI-[SAI7] |
Commitment | Full Time |
Role | Internships |
Remote | See job post for details |
First listed | In the last 1 week |
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Job Description
About Rivian 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. Role Summary Internship Term: Rivian internships are experiences optimized for student candidates. To be eligible, you must be an undergraduate or graduate student in an accredited program during the internship term with an expected graduation date between December 2025 and December 2027. If you are not pursuing a degree, please see our full time positions on our Rivian careers site. Note that if your university has specific requirements for internship programs, it is your responsibility to fulfill those requirements. On Rivian’s Reliability Engineering Team, you’ll contribute to a critical project focused on evaluating memory reliability for Rivian’s next-generation vehicles. This project involves analyzing fleet field data, assessing memory usage across software and hardware categories, and using statistical modeling to understand and mitigate risks related to memory degradation. You’ll work cross-functionally with software and hardware teams, gaining hands-on experience in data processing, reliability assessment, and collaboration within a highly dynamic environment. Responsibilities The intern will perform a Memory Reliability Study to evaluate memory usage patterns, potential degradation risks, and performance projections for new vehicle designs. Key tasks include: Field Data Analysis: Analyze fleet field data to assess memory reliability, identify usage patterns, and build degradation models. Cross-Functional Collaboration: Work with software teams to understand memory usage patterns and with hardware teams to assess different memory categories and their limitations. Statistical Modeling: Develop projections and statistical models to evaluate and anticipate memory reliability issues, applying predictive techniques and reliability tools. Testing Preparation: Support preparations for Design Validation Testing (DVT) in Summer 2025, contributing to data-driven test planning and validation. Qualifications Must be actively pursuing a degree in Electrical Engineering, Computer Science, or a related field, with experience or interest in data science and data analysis. Proficiency in programming languages such as C, C++, SQL, and Python, with experience in Python libraries for plotting and data visualization. Familiarity with statistical tools like JMP and ReliaSoft (can be learned on the job). Knowledge of memory technologies (NAND, SSD) and degradation modeling is highly desirable. Data Analysis Experience: Experience in handling and interpreting large datasets; ability to develop and apply statistical models. Collaborative Experience: Demonstrated ability to collaborate across teams; previous internship experience preferred, especially with cross-functional or interdisciplinary projects. Tools: Familiarity with Google Suite (Google Docs, Sheets), DVC files, and related data processing tools is beneficial. 40 hours/week, full-time #LI-[SAI7] Pay Disclosure Salary Range/Hourly Rate for Internships: The range of pay for internships is 25.00-51.00 per hour. Actual compensation will be determined based on location, and other factors permitted by law. Rivian provides robust wellness benefits, and a medical insurance package for interns, their spouse or domestic partner, and children up to age 26. Coverage is effective on the first day of employment, and Rivian covers most of the premiums. Equal Opportunity Rivian is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, sex, sexual orientation, gender, gender expression, gender identity, genetic information or characteristics, physical or mental disability, marital/domestic partner status, age, military/veteran status, medical condition, or any other characteristic protected by law. 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 [email protected]. Candidate Data Privacy Rivian may collect, use and disclose your personal information or personal data (within the meaning of the applicable data protection laws) when you apply for employment and/or participate in our recruitment processes (“Candidate Personal Data”). This data includes contact, demographic, communications, educational, professional, employment, social media/website, network/device, recruiting system usage/interaction, security and preference information. Rivian may use your Candidate Personal Data for the purposes of (i) tracking interactions with our recruiting system; (ii) carrying out, analyzing and improving our application and recruitment process, including assessing you and your application and conducting employment, background and reference checks; (iii) establishing an employment relationship or entering into an employment contract with you; (iv) complying with our legal, regulatory and corporate governance obligations; (v) recordkeeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian may share your Candidate Personal Data with (i) internal personnel who have a need to know such information in order to perform their duties, including individuals on our People Team, Finance, Legal, and the team(s) with the position(s) for which you are applying; (ii) Rivian affiliates; and (iii) Rivian’s service providers, including providers of background checks, staffing services, and cloud services. Rivian may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, the United Kingdom, and the European Union and in the cloud, and this data may be subject to the laws and accessible to the courts, law enforcement and national security authorities of such jurisdictions. Please note that we are currently not accepting applications from third party application services.
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