The Perception team at Zoox is fundamental to our autonomous vehicle technology, creating the understanding of the world for our self-driving robots. We enable safe and efficient navigation in complex environments through sophisticated detection, classification, and tracking systems.
As an engineer on the Localization team, you will be a key contributor to Zoox’s online pose estimation systems. This role focuses on improving the ML systems that utilize cameras for Localization. You will design, train, validate, and integrate computer vision models into the online software system. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox.
Research, implement, and train ML models to perform vision based localization
Curate datasets for model training and validation
Closely collaborate with validation teams to formulate and execute model validation pipelines
Integrate models into the greater onboard autonomy system within compute budgets
Be a technical leader on the team, maintaining coding and ML development best practices and contributing to architectural decisions
MS plus 7+ years in Computer Science or related field
Experience in computer vision based pose estimation
Experience with training and deploying deep learning models
Experience with with Python libraries (pytorch, numpy)
Experience with C++
Experience with SLAM systems which incorporate ML models
Experience in robotics or autonomous systems
Experience with CUDA and/or GPU programming
About ZooxZoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We’re looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team.
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AccommodationsIf you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.
A Final Note:You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.
Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.
