3D Technical Director

Aurora InnovationSan Francisco, CA
10d$139,000 - $223,000Hybrid

About The Position

Aurora’s mission is to deliver the benefits of self-driving technology safely, quickly, and broadly. The Aurora Driver will create a new era in mobility and logistics, one that will bring a safer, more efficient, and more accessible future to everyone. At Aurora, you will tackle massively complex problems alongside other passionate, intelligent individuals, growing as an expert while expanding your knowledge. For the latest news from Aurora, visit aurora.tech or follow us on LinkedIn. Aurora hires talented people with diverse backgrounds who are ready to help build a transportation ecosystem that will make our roads safer, get crucial goods where they need to go, and make mobility more efficient and accessible for all. We’re searching for a 3D Technical Director. As a member of the Synthetic World & Sensor Simulation team, you will help further all three aspects of this mission. Synthetic environments are essential in evaluating rare edge cases in the real world, testing new technologies and methodologies, and exploring new environments for the Aurora Driver to operate in. It is an exciting time in the field with rapid advancements. Expect to move quickly and adapt while maintaining a focus on Aurora’s priority on safety.

Requirements

  • Proficiency in Houdini and an understanding of procedural and automated asset creation methodologies.
  • Practical experience with Python and general scripting (introductory knowledge of VEX is acceptable).
  • Passionate about learning, growing your technical skills, and willingness to dive in and help solve impactful challenges in autonomous vehicle development.

Nice To Haves

  • Familiarity with Universal Scene Description (USD) is a plus.

Responsibilities

  • Build procedural scenarios using Houdini and use Aurora’s multi-modal simulator (camera, lidar, radar) to further the development of the Aurora driver.
  • Utilize and improve established workflows and pipelines to reliably deliver quality software and datasets.
  • Learn to debug large distributed simulations.
  • Build new tools and assets to improve the capabilities of Aurora’s simulator.
  • Learn where and how to use the latest AI tools to work more efficiently.
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