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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Systems Design Reliability Engineering - **Company:** Rivian - **Location:** Irvine, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Systems Engineering, Automation of Tests, Cyber Security, Fraud Prevention and Detection, Python (Programming Language), Regression Testing, Cloud Services, Search Technologies, Simulink, Test Management, Digital Twin, Data Processing, Retrieval-Augmented Generation, Large Language Models, Test Scripts, Julia, Llamaindex, Gitlab, Gitlab-ci, Production Code, Modelica, Data Analytics, Evaluation of Large Language Models, OpenModelica, Intelligent Document Processing, Automation Anywhere, Microservices - **Published:** October 14, 2026 - **Apply:** https://startup.jobs/sr-vehicle-modeling-engineer-applied-ai-systems-rivian-and-volkswagen-group--10445660 ## About the Role * BS/MS in Electrical, Computer, Mechanical, or Systems Engineering, or related field - or equivalent demonstrated experience through projects. * Strong Python skills - data processing, prototyping AI workflows, automation scripts, or microservices. * Practical experience building LLM applications: RAG pipelines, semantic search, structured reasoning, or agent frameworks. * Systems-minded: able to decompose a physical product into subsystems, behaviors and interfaces - and reason about how they interact. * Comfort iterating quickly from prototype, to production, using modelling in a fast-paced engineering environment., * Experience with physical simulation tools: OpenModelica, Simulink, Julia, Modelica, or FMI/FMU-based co-simulation. * Hands-on projects involving physical systems - vehicle dynamics, powertrain, robotics, Baja SAE, Formula SAE, solar car, or similar. * Familiarity with automotive SE artifacts: requirements, test cases, E/E architecture, CAN signals, DBC/ARXML. * Experience with LLM evaluation: precision/recall, hallucination rate, latency, cost - for SE-specific use cases. * GitLab CI/CD experience; * AI portfolio: projects applying LLMs or ML to engineering or technical documentation - even academic or personal projects count. * Fault tree analysis, DFEMA or STPA know-how ## Description 1. Digital Twin Development & Operation * Build and maintain multi-fidelity plant models (FMU-packaged) for vehicle subsystems - powertrain, dynamics, thermal, body - using Python, OpenModelica, Julia, or Simulink. * Develop and run co-simulation environments (FMI-based) that pair vECUs with plant models for three core use cases: * Model-to-code - simulate vehicle behaviors against a plant to develop and validate control requirements before a line of production code is written. * SIL regression tests - run SIL/virtual ECU controllers against plant models in nightly CI to catch regressions early and expand corner-case coverage. * Field issue replay - reproduce field failures in the digital twin, verify fixes virtually before shipping. * Correlate models against real vehicle, dyno, and lab rig and fleet data 2. AI-Assisted Systems Engineering Tooling * Build LLM pipelines for requirement drafting, test script generation, coverage gap analysis, and root cause analysis over SE artifacts. * Deploy semantic search and RAG over requirements, architecture models, test scripts, using modern LLM app stacks (LangChain, LlamaIndex, or equivalent). * Integrate AI assistants into GitLab and test management systems via APIs, plugins, and CI/CD pipelines. * Build AI analytics tools that correlate requirements, architecture changes, and calibrations with fleet data, field issues and test failures - surfacing similar historical problems and candidate fault paths. 3. Systems Engineering (Hands-On) * Author requirements and test cases as a practicing systems engineer - applying RequiTest and test-driven SE methods. * Participate in architecture, interface, and safety design reviews across domains. * Document AI-augmented SE process standards and playbooks; help drive adoption across programmes. * Capture process patterns from domain teams and convert them into AI-supported workflows, with human-in-the-loop guardrails., Rivian and Volkswagen Group Technologies is committed to creating a diverse environment and is proud to be an equal opportunity employer. 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. We are also committed to ensuring compliance with all applicable fair employment practice laws regarding citizenship and immigration status. Rivian and Volkswagen Group Technologies 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 and Volkswagen Group Technologies" 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 and Volkswagen Group Technologies 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) record keeping; (vi) ensuring network and information security and preventing fraud; and (vii) as otherwise required or permitted by applicable law. Rivian and Volkswagen Group Technologies 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 and Volkswagen Group Technologies affiliates; and (iii) Rivian and Volkswagen Group Technologies' service providers, including providers of background checks, staffing services, and cloud services. Rivian and Volkswagen Group Technologies may transfer or store internationally your Candidate Personal Data, including to or in the United States, Canada, 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. If you provide a mobile telephone number as part of your application or during the recruitment process, Rivian and Volkswagen Group Technologies may use that number to contact you via SMS text message for recruitment-related purposes, including scheduling, logistics, and status updates. Message and data rates may apply. You may opt out of SMS communications at any time by replying STOP to any text message you receive from us. Consent to receive SMS messages is not a condition of applying for or being considered for employment.