This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Creating comprehensive solutions for the Perception and AV stack to facilitate road network detection across various driving environments.

• Conducting applied research and development of cutting-edge deep learning models for constructing lane graphs, detecting road boundaries, recognizing traffic elements, and addressing other static-world tasks.

• Formulating generalizable strategies to accommodate a range of Operational Design Domains (ODDs) and facilitate expansion across countries and regions.

• Leading and prioritizing development that is driven by data.

• Transforming the developed perception solutions into products by fulfilling requirements related to safety, latency, and software robustness.

⛳️ Requirements

• PhD with 4+ years, MS with 6+ years, or BS with 8+ years of pertinent experience in Computer Science, Computer Engineering, or a related technical discipline.

• At least 2 years of technical leadership showcasing significant technical and organizational complexity is highly advantageous.

• Practical experience in developing deep learning technologies and algorithms to tackle complex real-world challenges.

• Expertise in utilizing deep learning frameworks (e.g., PyTorch).

• Background in data-driven development and collaboration with data and ground truth teams.

• Strong programming abilities in Python and/or C++.