Sr. Vehicle Modeling Engineer, Applied AI Systems

The posting, as Rivian and Volkswagen Group Technologies wrote it

ABOUT US

Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to cloud and connectivity solutions, we’re addressing the challenges of electric vehicles through technology that will set the standards for software-defined vehicles around the world.

The road to the future is uncharted. By combining our expertise across connectivity, AI, security and more, we’ll map a new way forward. Working together, we’ll create a future that’s more connected, more intelligent, more sustainable for everyone.

ROLE SUMMARY

The Systems Design Reliability Engineering (SDRE) team is building the next generation of AI-assisted, model-driven systems engineering at Rivian VW Group — replacing heavyweight requirements processes with simulation-first design, Digital Twin-based verification and test coverage. We are a small, high-leverage team, and we are looking for an engineer who wants to work at the intersection of AI tooling and physical system modelling.

You will develop and operate the AI tooling and Digital Twin infrastructure that underpins SDRE's cross-domain methods — across Vehicle Controls, Infotainment, Communications, and Access. You will own feature(s) end-to-end: from building plant models and co-simulation environments, to deploying LLM-assisted requirement and test pipelines. You will also do real systems engineering — author requirements, perform analyses, design reviews, STPA, and apply SDRE methods hands-on.

RESPONSIBILITIES

• 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
• 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

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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.

Please see our Candidate Data Privacy Notice (English) https://assets.ctfassets.net/2md5qhoeajym/53otRWdzXPzSdWPgiel5T/07c61b0eed2d91f2f403f788fd20d315/RVTech_Candidate_Data_Privacy_Notice_-_Nov_2024.pdf and Candidate Data Privacy Notice (Serbian) https://assets.ctfassets.net/2md5qhoeajym/40xUZMehbGToclkLqWXW0E/eb5b553bd8af7c607066253fbb227bda/RVTech_Candidate_Data_Privacy_Notice_-_Nov_2024_Serbian.pdf for more information.

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Please note this job posting represents an open, active vacancy. Additionally, we are not currently accepting applications from third party application services.