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Salary
$254k – $305k per year
Location
Remote/Hybrid (Foster City, United States)
Seniority
Staff · 5+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Zoox is an American technology company headquartered in Foster City, California, that was founded in 2014. The company develops a purpose-built, fully autonomous electric vehicle designed specifically for ride-hailing services rather than individual ownership. Operating as an independent subsidiary of Amazon, the firm is currently testing its robotaxi fleet in several major United States cities including San Francisco and Las Vegas.

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 a software engineer on the perception mapping team, you will be a key contributor to Zoox’s online mapping initiative. You will design, train, validate, and integrate into the stack ML models that detect semantic map elements in the world. Your work will touch on all aspects of ML development, including data gathering, labeling, training, validation, and onboard integration. Your work will enable important milestones to scaling and autonomy capabilities and will be critical to the success of Zoox.

In this role, you will:

  • Curate, validate, and label datasets for model training and validation
  • Research, implement, and train ML models to perform semantic map element detection
  • 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

Qualifications:

  • MS or PhD or equivalent experience (5+ years) in Computer Science or related field
  • Experience in computer vision or robotics
  • Experience with training and deploying deep learning models
  • Experience with with Python libraries (pytorch, numpy)

Bonus Qualifications:

  • Experience with C++
  • Experience with CUDA and/or GPU programming
  • Experience with mapping related ML techniques
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