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Stack AV

Robot type
Autonomous Vehicle
Location
PittsburghPennsylvaniaUSA
Job type
Artificial Intelligence
Posted
Sep 9, 2026
Full-time

Full-Stack Software Engineer, Machine Learning Platform

Job description

Stack is developing revolutionary AI and advanced autonomous systems designed to enhance safety, reliability, and efficiency of modern operations. Stack's 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 team is dedicated to developing an autonomous solution ecosystem tailored to the trucking industry's unique demands.

Job responsibilities

  • Partner with XFN stakeholders across Product, Design and Engineering to define a vision for a state-of-the art AV data introspection software, along with a pragmatic implementation roadmap that accelerates AV product…
  • Deliver the above roadmap while setting a high bar for engineering excellence within the team.
  • Discover key issues in existing tools across each customer persona and proactively address those gaps.
  • Drive technical discussions to deliver solutions on a timely basis.
  • Evangelize technical solutions across the company to maximize business impact.

Job requirements

  • 3+ years of experience of driving full-stack development with large-scale diverse data (video, audio, sensor data, text, etc).
  • Experience building modern full-stack solutions using React, TypeScript, Go, Python, etc. for a large number of customer teams and collaborating effectively across multi-functional teams.
  • Solid understanding of data storage architectures and associated serving trade-offs, including SQL and No-SQL solutions.
  • Proven track record of building scalable, reliable full-stack solutions in a fast-paced environment.
  • Deep understanding of design trade-offs with the ability to articulate those trade-offs and achieve alignment with others.
  • Experience integrating novel AI techniques into front-end applications.

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