Senior Synthetic Data Engineer
Job Summary
Collaborating with technical leaders in autonomous driving, the full-time Senior Synthetic Data Engineer will design and develop simulation environments for autonomous vehicles, focusing on generating synthetic data for deep learning networks and optimizing sensor simulation workflows, with opportunities for remote work.
Key responsibilities
- Build and optimize tools for generating synthetic data for various deep learning DRIVE networks
- Develop lidar and radar sensor simulation workflows and enhance Cosmos world model for improved scenario generation
- Set up and supervise large-scale simulation pipelines in data center or cloud environments
Required qualifications
- B.S. or M.S. in Computer Science, Electrical Engineering, or a related field (or equivalent experience)
- 8+ years of experience in computer graphics, computer vision, or related software engineering roles
- Strong skills in Python and C++, with experience in production-quality systems on Linux
- Solid mathematical foundation in linear algebra, geometry, and probability
- Familiarity with deep learning workflows and synthetic data generation processes
Complete Job Description
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