Note: The job is a remote job and is open to candidates in USA. Instacart is transforming the grocery industry by providing grocery delivery and flexible earning opportunities for personal shoppers. The Senior Software Engineer will build and operate digital twin platforms and services that enable real-time understanding of products on store shelves, including data ingestion, processing, serving, and machine learning integrations.
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
- 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 production systems
- Strong proficiency in at least one backend programming language such as Python, Java, Scala, or Go, and experience with SQL
- Experience with distributed systems, data pipelines, and cloud infrastructure such as AWS, GCP, or Azure
- Track record of shipping production software with a focus on reliability, testing, observability, and maintainability
- Experience with machine learning infrastructure, computer vision, image-based data pipelines, or annotation platforms
- Experience with real-time, streaming, or geospatial services and systems in production
- Experience building data-intensive products in e-commerce, retail, logistics, or grocery
- Experience with edge devices, IoT, or hardware-software integration
- Familiarity with data processing frameworks such as Spark, Kafka, or Airflow
Benefits
- Employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events.
- This role is eligible for a new hire equity grant as well as annual refresh grants.
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