Software Engineer — Foster City, CA

• The Perception team at client 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, mapping, and tracking systems.

• You will be a contributor to client’s offline mapping initiative.

• High-definition semantic maps are critical for enabling fully autonomous driving at scale.

• You will design, train, validate, and integrate models that detect semantic map elements in the world.

• The priority will be to enable scalable mapping pipelines through automated mapping of new features.

Responsibilities:

• The engineer will work on spatial AI and offline mapping automation, specifically leveraging ML models for semantic map detection, dataset setup for model training, and automated mapping pipeline integration.

Qualifications:

• MS+ with a machine learning and software skill set.

• L4+ equivalent experience (MS and 5 years of experience, or equivalent)

• Experience with training and deploying deep learning models.

• Experience with Python libraries (PyTorch, NumPy)

• At least one of HD mapping, 3D computer vision, or robotics perception experience.