Rivian is seeking an innovative engineer who combines expertise in AI/ML with a passion for quality and manufacturing excellence in the Body Assembly area. This role is crucial in driving our digital transformation initiatives through the development and implementation of AI-powered solutions.
Compensation
The salary range for this role is $98,500-$123,100 for Illinois based applicants.
Responsibilities
Apply fundamental process engineering principles and advanced statistical methods, including ML/AI algorithms, to analyze manufacturing data (e.g., End of line test data, sensor data, press data, LVDT data, historical trends, operational logs).
Develop and implement predictive models for key performance indicators (KPIs) such as yield, throughput and equipment downtime.
Collaborate with IT and operations teams to establish data pipelines, ensuring data quality, accessibility, and integrity for ML model training and deployment.
Utilize data collected by Rivian’s MES database system for model training.
Design, train, validate, and deploy robust ML models (e.g., classification, regression, time-series forecasting) for real-time process control, anomaly detection, predictive maintenance, and quality prediction.
Lead a team responsible for developing software to support digitizing production lines and implementing streaming machine controls.
Compensation
Salary: Starting at $110,000 US & CAD
Responsibilities
Develop and implement modern smart factory solutions that connect legacy manufacturing equipment to scalable digital infrastructure.
Design, deploy, and maintain Industrial IoT (IIoT) applications operating both on-premises and in cloud environments.
Build and manage cloud-native infrastructure using Infrastructure as Code (IaC) methodologies, including Terraform.
Develop and support AWS-based solutions for leveraging services such as AWS IoT, AWS Lambda, AWS Bedrock, and AgentCore for AI-driven manufacturing and operational use cases.
Design and implement AI-enabled workflows, intelligent agents, and automation solutions to improve operational efficiency and decision-making.
Lead the design and governance of end-to-end IoT architecture for next-generation smart connected appliances, from microcontrollers to cloud telemetry pipelines.
Locations (4)
Pune, Maharashtra, India
Gurugram, Haryana, India
Faridabad, Haryana, India
Puducherry, Puducherry, India
Responsibilities
Define and document comprehensive edge-to-cloud system architecture
Select microcontrollers, SoCs, and RF modules based on constraints
Architect localized edge computing strategies
Integrate RTOS with low-level appliance application loops
Bachelor’s or Master’s Degree in Electrical Engineering, Electronics & Communication Engineering, Computer Engineering, Computer Science or Internet of Things (IoT) Technologies
