Senior Software Engineer, Real-Time Digital Twin

EngineersOfAI; Northern (KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Instacart is seeking a Senior Software Engineer for the Digital Twin Platform to design, build, and operate real-time systems that understand products on store shelves across our network.

You will collaborate with ML engineers, data scientists, product teams, and data engineers to move models and data pipelines from research to production, delivering scalable shelf intelligence and end-to-end data supply.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
• 5+ years of software engineering experience designing, building, and operating large-scale systems.

Responsibilities

• Design, build, and operate the platforms and services that power a real-time understanding of products on store shelves across our network.
• Develop data ingestion, processing, and serving systems that combine partner data, inventory observations, and machine learning outputs into a reliable, scalable digital twin.
• Collaborate closely with machine learning engineers, computer vision engineers, product teams, and data scientists to move models and data pipelines from research to production.
• Take on ambiguous, large-scale challenges across mapping, inventory, logistics, and computer vision, balancing fast delivery with long‑term architectural quality.
• Contribute to a culture of ownership and continuous improvement, where we serve our users generously, put ideas on the table with transparency, and go far together as a team.

Skills

Software engineering

Large-scale systems

Education

Bachelor's degree in CS/Engineering/Math or related field

Job description

Instacart is seeking a Senior Software Engineer for the Digital Twin Platform to design, build, and operate real-time systems that understand products on store shelves across our network.

You will collaborate with ML engineers, data scientists, product teams, and data engineers to move models and data pipelines from research to production, delivering scalable shelf intelligence and end-to-end data supply.