UIUC Research Park Intern - Advanced Diagnostics Integration at Rivian

Champaign, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

08 Jul, 26

Salary

0.0

Posted On

09 Apr, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data analysis, Python, Data visualization, Dashboard development, Cloud platforms, Automated alerting, Root-cause analysis, Electrical circuits, DTC analysis, PCAP logs, Oscilloscope data, Problem-solving, Analytical skills

Industry

Motor Vehicle Manufacturing

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: Summer 2026 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 2026 through May 2028. Rivian's Internship Program requires active student enrollment. Information regarding your expected degree completion date is collected solely to verify eligibility and determine your availability for future full-time opportunities. Rivian is an equal opportunity employer and does not use graduation dates to determine the age of applicants or as a basis for discriminatory hiring decisions. 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. The Data Analytics Intern will help develop data analysis tools and dashboards for Rivian’s R2 Energy Management Module (EMM) using cloud data, enabling early detection and tracking of issues in the field as vehicle volumes scale. They will analyze DTCs, PCAP logs, high‑resolution oscilloscope data, and lofi logs to identify charging and DC/DC performance or system‑level issues, and build dashboards and automated alerts (e.g., Slack notifications) that highlight fault frequency, correlate issues with software versions and build dates, and surface relevant waveforms for root‑cause analysis. This work will significantly reduce the time required to find the exact time and conditions under which issues occur and will directly support improved customer satisfaction for core vehicle functions like charging and DC/DC operation. Responsibilities Developing a dashboard which can provide and overview of R2 EMM DTCs as well as mentioning the state the EMM was in while DTC was triggered Integrating R2 high resolution data capture which can be viewed directly for a dashboard for a DTC of interest Develop automated triaging system for issues for which SYSINT tickets are created based on vehicle VIN, timestamp and release flashed Monitoring critical performance parameters across all R2 fleet to come up with performance metrics Adding slack-bot notifications for new R2 EMM related issues / DTCs noticed with links to the dashboard to support triaging. Qualifications Must be currently pursuing a bachelors, masters, or PhD degree at the University of Illinois Urbana Champaign Actively pursuing a degree or one closely related in Data Science Strong background in data analysis and coding (Python or similar programming languages) Ability to work with large datasets generated from vehicle systems, including DTCs, PCAP logs, high-resolution oscilloscope data, and lofi logs, to identify patterns and issues. Experience building or using dashboards/visualization tools to monitor system performance and fault behavior. Strong analytical and problem‑solving skills, with the ability to support software and controls engineers in root‑causing field issues. Basic background in electrical circuits, preferred. Experience working with cloud based platforms and automated alerting/notification tools preferred #LI-HH2 Pay Disclosure The salary range for this role is $25.00-40.00 per hour for Normal based applicants. 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. We offer a comprehensive package of benefits including but not limited to paid vacation, paid sick leave, and medical insurance benefits. 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 4/17/2026. Internship positions are not eligible for retirement benefits. 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 candidateaccommodations@rivian.com. 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.

Responsibilities

The intern will develop data analysis tools and dashboards for the R2 Energy Management Module to track performance and detect field issues. They will also implement automated triaging systems and Slack-based notifications to support root-cause analysis of vehicle system data.