About

With customers at its core, Stack AV is focused on revolutionizing the way businesses transport goods, designing solutions to alleviate long-standing issues that have plagued the trucking industry including driver shortages, lagging efficiency in uptime per vehicle, overarching safety concerns, high operating costs, and elevated emission levels. By building safe and efficient autonomous trucking solutions, Stack AV is creating better and smarter supply chains for its partners, improving business outcomes for its customers, delivering goods to end-users faster, and ultimately moving the trucking industry forward.

What We're Looking for:

We are looking for people who are passionate about delivering self-driving (L4) products that make the way we move safer, faster, and more efficient. We seek mission-driven, highly skilled people with deep experience in fast-paced, rapidly growing, tech development environments.

The prediction team is responsible for consuming tracks, track history, track attributes, environmental signals, maps, and any other scene context, and creating probabilistic predictions of future actions as well as semantic categorization and intent estimation. We make extensive use of our road-collected dataset to train the best possible machine learning models and produce signals to help planner make safe, comfortable driving decisions on the road.

What Success Looks Like:

  • Be part of a team of engineers to develop state-of-the-art prediction & planning ML modules for self-driving vehicle systems.
  • Own delivery of prediction or planning ML modules that solve on-vehicle problems and deliver for customer needs - meeting product requirements and meeting the needs of downstream components, providing accurate, timely prediction signals to inform driving behavior.
  • Provide input in the technical direction for the team, and work cross-functionally to develop safe systems.  This will include working closely with other teams such as perception, planning, and machine-learning infrastructure to ensure seamless integration and maximum efficiency.
  • Work closely with systems engineers to ensure a safe, well-tested product is delivered.
  • Work closely with verification teams to ensure proper testing and validation of the prediction modules.  Make extensive use of unit testing, simulation, and log simulation to properly validate their work.
  • Provide input to team roadmaps and ensure product features are properly prioritized.
  • Develop prediction and planning ML models for real-time, resource-constrained applications.
  • Identify bottlenecks and limitations in system performance, and develop novel prediction and planning ML components to unlock new capabilities and ensure a reliable system.
  • Be involved in experimentation, design, and iteration exercises, and help align stakeholders by using strong presentation and communication skills.
  • Strong experience in software engineering and algorithm design.
  • Knowledge and experience with real-time algorithms and machine learning approaches.
  • Experience architecting, training, and deploying machine-learned models, or designing machine-learning systems and infrastructure.
  • Experience building perception, prediction, or planning systems for real-world applications with a strong understanding of the pros and cons of various approaches.
  • Fluent in C++.
  • Experience with Python or CUDA a plus.

 

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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Please Note: Pursuant to its business activities and use of technology, Stack AV complies with all applicable U.S. national security laws, regulations, and administrative requirements, which can restrict Stack AV’s ability to employ certain persons in certain positions pursuant to a range of national security-related requirements. As such, this position may be contingent upon Stack AV verifying a candidate’s residence, U.S. person status, and/or citizenship status. This position may also involve working with software and technologies subject to U.S. export control regulations. Under these regulations, it may be necessary for Stack AV to obtain a U.S. government export license prior to releasing its technologies to certain persons. If Stack AV determines that a candidate’s residence, U.S. person status, and/or citizenship status will require a license, prohibit the candidate from working in this position, or otherwise be subject to national security-related restrictions, Stack AV expressly reserves the right to either consider the candidate for a different position that is not subject to such restrictions, on whatever terms and conditions Stack AV shall establish in its sole discretion, or, in the alternative, decline to move forward with the candidate’s application.

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