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Rivian

Makes electric pickups, SUVs and delivery vans

Senior Process Engineer - Body AI/ML

Process EngineeringPosted on Nov 9
Full-timeNormal, IL, USA

About the Job

Requirements

  • A bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Data Science, Statistics, or another related engineering degree is required.
  • At least 3–5+ years of experience in a process or manufacturing engineering role, applying machine learning, data science, or advanced statistical modeling in an industrial setting.
  • High proficiency in Python or R is required.
  • Strong SQL skills and experience with time-series databases such as OSIsoft PI or InfluxDB, or cloud data platforms such as Azure, AWS, or GCP, are required; high proficiency in Hex or Databricks for custom dashboard design is also required.
  • Experience using 2D and 3D modeling tools such as AutoCAD and CATIA/ENOVIA is required.
  • Experience or knowledge in design of experiments, geometric dimensioning and tolerancing, torque tooling, error proofing, and process failure mode and effects analysis is required.
  • Strong verbal and written communication skills are required.
  • Strong analytical and problem-solving skills are required.
  • Ability to work in teams and collaborate effectively across functions is required.
  • Ability to take initiative and drive results is required.
  • Strong time-management skills to enable on-time project delivery are required.

Responsibilities

  • Apply fundamental process engineering principles and advanced statistical methods, including machine-learning and artificial-intelligence algorithms, to analyze manufacturing data such as end-of-line test, sensor, press, LVDT, historical-trend, and operational-log data.
  • Develop and implement predictive models for key performance indicators such as yield, throughput, and equipment downtime.
  • Collaborate with information technology and operations teams to establish data pipelines and ensure data quality, accessibility, and integrity for machine-learning model training and deployment.
  • Use data collected by the Rivian manufacturing execution system database for model training.
  • Design, train, validate, and deploy machine-learning models, including classification, regression, and time-series forecasting models, for real-time process control, anomaly detection, predictive maintenance, and quality prediction.
  • Document model methodologies, deployment procedures, and process changes.
  • Present complex findings and recommendations clearly to technical and non-technical stakeholders.

Desired Qualifications

  • Experience or certification in Six Sigma DMAIC is optional.
  • Knowledge of lean assembly principles is desired.
  • Experience conducting time studies using MTM or MODAPTS is desired.

About the Company

Rivian

Makes electric pickups, SUVs and delivery vans

Rivian designs and builds electric pickup trucks, SUVs, and delivery vans, pairing off-road ability with electronics and software it develops itself. In 2021, its R1T became the first fully electric pickup truck on the US consumer market, ahead of larger rivals such as Ford and Tesla. It makes the R1T pickup, the R1S and R2 SUVs, and commercial vans in Normal, Illinois, and sells them directly online and in its own stores rather than through dealers. Its vehicles run on Rivian's own software, which gains features through updates sent over the internet, and most revenue comes from vehicle sales, with service and optional software adding more. Rivian was founded in 2009 and is based in Irvine, California.

Company size
10,001+
Company stage
IPO
Headquarters
Irvine, CA
Founded
2009

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