Senior Staff Software Engineer, AI Data Infra Lead

4 weeks ago


Pittsburgh, Pennsylvania, United States Stack AV Full time
About Stack AV:

Stack AV is a pioneering company in the development of revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Our autonomous technology incorporates cutting-edge advancements in artificial intelligence, robotics, machine learning, and cloud technologies, empowering us to create innovative solutions that address the needs and challenges of the dynamic trucking transportation industry. With decades of experience creating and deploying real-world systems for demanding environments, the Stack AV team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.

About the Team:

The AI Data Infra team, part of the ML Platform org of Stack AV, is responsible for storage, access, and curation of the data across the company and across all the ML use cases. This team plays a crucial role in the success of any ML company, and the autonomous vehicle industry is no exception to this.

Position Overview:

We are seeking an experienced, visionary, and hands-on technical lead for our data infra team. You will be responsible for designing the architecture and leading a team to build a robust data platform that powers all the next-gen AI Autonomous Vehicle applications in the company. The ideal candidate will have a deep understanding of modern data technologies, excellent leadership skills, and the ability to drive technical excellence.

Key Responsibilities:

Efficient storage, access, search, and governance of the data across the company.
Managing the company data lake and data warehouse products.
Building self-serve platforms for other teams to create, store, access, and do data augmentation.

Requirements:

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
8+ years of experience in data engineering or a related field, with at least 3 years in a technical leadership role.
Proficient in data architecture and design.
Extensive experience with data lake and data warehouse technologies (e.g., Hadoop, Spark, AWS S3, Redshift, Iceberg, Hive, Trino, etc).
Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
Strong programming skills in languages such as Python, Java, or Scala.
Experience with ETL tools and processes.

What We Offer:

We are proud to be an equal opportunity workplace. We believe that diverse teams produce the best ideas and outcomes. We are committed to building a culture of inclusion, entrepreneurship, and innovation across gender, race, age, sexual orientation, religion, disability, and identity.

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