Instacart23 дня назад

Senior Software Engineer, Digital Twin Platform

13 833–17 500 ₽в месяц · до вычета
РЫНОК
16 333медиана по профессии
Data Scientist · 213 вакансий с указанной зарплатой
5 000половина предложений: 13 167–22 000123 000
В рынке · выше 32% предложений
United States - Remote

Обязанности

  • 01Design, build, and operate the platforms and services that power a real-time understanding of products on store shelves across the network.
  • 02Develop data ingestion, processing, and serving systems that combine partner data, inventory observations, and machine learning outputs into a reliable, scalable digital twin.
  • 03Collaborate closely with machine learning engineers, computer vision engineers, product teams, and data scientists to move models and data pipelines from research to production.
  • 04Take on ambiguous, large-scale challenges across mapping, inventory, logistics, and computer vision, balancing fast delivery with long-term architectural quality.
  • 05Contribute to a culture of ownership and continuous improvement, serving users generously, putting ideas on the table with transparency, and working as a team.
  • 06Be instrumental in building next-generation platforms for understanding product location in stores, providing smart-warehouse precision scaled to every local store.

Требования

  • 01Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical field, or equivalent practical experience.
  • 025+ years of software engineering experience designing, building, and operating large-scale production systems.
  • 03Strong proficiency in at least one backend programming language such as Python, Java, Scala, or Go, and experience with SQL.
  • 04Experience with distributed systems, data pipelines, and cloud infrastructure such as AWS, GCP, or Azure.
  • 05Track record of shipping production software with a focus on reliability, testing, observability, and maintainability.
  • 06Experience with machine learning infrastructure, computer vision, image-based data pipelines, or annotation platforms.
  • 07Experience with real-time, streaming, or geospatial services and systems in production.
  • 08Experience building data-intensive products in e-commerce, retail, logistics, or grocery.
  • 09Experience with edge devices, IoT, or hardware-software integration.
  • 10Familiarity with data processing frameworks such as Spark, Kafka, or Airflow.

Условия

  • 01Remote work with Flex First policy (choose home, office, or coffee shop).
  • 02Competitive market-competitive compensation and benefits.
  • 03Eligible for new hire equity grant and annual refresh grants.
  • 04Regular in-person events to build community.
  • 05Flexible work location based on permanent residence.