Behavior Planning Engineer - Acceleration

San Francisco / Remote

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Embark Trucks is America’s Longest-Running Self-Driving Truck Program and is bringing autonomous freight mainstream. As covered by the Wall Street Journal, CNBC, Forbes, TechCrunch and and other outlets, Embark has announced plans to go public via a $5.2 billion SPAC deal that is intended to provide Embark $614 million to fund future expansion. Currently, Embark moves freight between LA and Phoenix using our purpose-built transfer hubs. Embark has aligned itself with truck manufacturers, shippers, and carriers to integrate our technology into the freight ecosystem, pursuing a business model where fleets own and operate Embark trucks. This is an incredibly exciting time for autonomous vehicles and our team is looking to grow.
We are looking for candidates with experience in designing and building systems for collecting, storing, and retrieving data efficiently at scale, to support and accelerate the development of our planning system. Candidates should be comfortable working with a variety of infrastructure tools such as Docker, Kubernetes, Databricks. Ideal candidates also have a high degree of interest in and some familiarity with AV planning/prediction systems.

The responsibilities of the role include:

  • Designing and building data pipelines for understanding and improving planner/prediction performance.
  • Building tools for introspection of planning and prediction algorithms to facilitate and increase the productivity of planning team members.
  • Collaborating with domain experts on the planning team on architectural decisions about behavior planning/prediction.
  • Collaborating with Frameworks and Data Infra teams to build and deploy tools to improve productivity.

Preferred experience:

  • 2+ years of experience writing high-quality production quality code in C++.
  • Experience in designing and building UIs, dashboards, and visualization to help monitor experiments, plot results, and visualize benchmarks.
  • Experience in designing and building machine learning/deep learning data pipelines.
  • Prior academic or industrial experience in autonomous driving.
Embark in the Press:CNBC - Our Partner Development ProgramForbes - The Embark Universal InterfaceNavigating Highway Work Zones with the Embark DriverForbes - 70 Million Dollar Series C Video - Day in the life of a self-driving truck30 Million Dollar Series B led by Sequoia
Job perks/benefits: Career development
Job region(s): North America
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