Sr. Advanced Diagnostics Engineer

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 Rivian is seeking a Senior Advanced Diagnostics Engineer to support factory and vehicle software diagnostics across manufacturing, launch, end-of-line, and vehicle test environments.

This role will investigate complex electrical, vehicle software, factory software, and production issues; provide hands-on technical support; and drive problems to root cause and corrective action.

The Senior Advanced Diagnostics Engineer will work closely with engineering, manufacturing, operations, quality, service, and IT/MES teams to identify issues, reproduce failures, analyze evidence, implement containment, and validate durable solutions.

This role is ideal for an experienced, hands-on problem solver who can operate independently while collaborating effectively across functions.

Provide advanced technical triage and troubleshooting for vehicle, factory software, electrical hardware, and production-impacting issues Lead investigations for recurring or high-severity concerns across manufacturing and vehicle systems Apply structured problem-solving methods such as 8D, fault-tree analysis, data analysis, fault reproduction, and controlled experimentation Investigate issues across vehicle ECUs, networks, diagnostics interfaces, embedded software, factory applications, end-of-line systems, and supporting IT/MES infrastructure Use vehicle diagnostic tools, production data, logs, traces, network captures, and electrical test equipment to isolate failures and validate corrective actions Support lineside, end-of-line, launch, rework, and flash-lab investigations, including hands-on testing and vehicle or station troubleshooting Partner with Firmware Integration Engineering, Vehicle Software, Electrical Hardware, Systems Engineering, Manufacturing Engineering, Operations and IT/MES teams to drive issues to closure Document clear problem statements, evidence, reproduction steps, suspected causes, containment actions, owners, and closure criteria Translate diagnostic findings into defect reports, corrective-action recommendations, test updates, and process improvements Monitor issue trends across vehicles, stations, software versions, configurations, suppliers, and production processes Develop and improve diagnostic playbooks, troubleshooting procedures, escalation workflows, and knowledge-base content Create or improve dashboards, metrics, scripts, and other tools that improve issue detection, prioritization, and response time Support software and firmware integration activities by helping evaluate changes, investigate regressions, and confirm production readiness Identify opportunities to improve diagnostic coverage, factory tooling, station robustness, and design-for-diagnostics practices Mentor engineers and technicians in advanced troubleshooting, evidence collection, root-cause analysis, and technical communication Represent Advanced Diagnostics in issue reviews, launch readiness meetings, incident reviews, and cross-functional working sessions Qualifications Bachelor’s degree in electrical engineering, computer engineering, software engineering, systems engineering, or a related technical field 2+ years of relevant experience in automotive systems, vehicle software, factory software, electrical hardware, manufacturing engineering, test engineering, reliability engineering, or advanced diagnostics Demonstrated experience troubleshooting complex hardware and software systems in a production, launch, test, or service environment Experience leading root-cause investigations, containment activities, and corrective actions for complex or recurring issues Strong understanding of vehicle electrical architectures, ECUs, communication networks, and diagnostic concepts Experience with one or more of CAN, CAN FD, LIN, Automotive Ethernet, UDS, or related vehicle communication protocols Experience analyzing software logs, network traces, production data, test results, and system telemetry Experience with diagnostic and debugging tools such as CANalyzer, CANoe, Wireshark, oscilloscopes, multimeters, data acquisition systems, or comparable tools Ability to troubleshoot interactions between vehicle systems, embedded software, factory applications, manufacturing equipment, and IT/MES infrastructure Strong technical writing, documentation, and communication skills Ability to work independently, prioritize multiple issues, and make sound technical decisions with limited guidance Preferred Qualifications Supporting high-volume automotive manufacturing or major vehicle launches Experience with end-of-line testing, manufacturing execution systems, flashing/programming, station controls, or factory automation Experience with embedded software integration, firmware releases, configuration management, or software version troubleshooting Experience developing diagnostic scripts, data pipelines, dashboards, or automation using Python or similar tools Experience with cloud-connected vehicle systems, telemetry platforms, or remote diagnostics Familiarity with electrical schematics, wiring diagrams, board-level electronics, power distribution, and signal integrity fundamentals Experience improving serviceability, diagnostic coverage, or design-for-diagnostics practices Experience training or mentoring engineers and technicians Pay Disclosure Salary Range for Illinois Based Applicants: The salary range for this position is $98,500 - $123,100 for Illinois 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. The successful candidate may be eligible for annual performance bonus and equity awards.