You will architect and implement map processing solutions across cloud and edge environments to enable continuous improvement of autonomous vehicle performance
Job Summary
You will architect and implement map processing solutions across cloud and edge environments to enable continuous improvement of autonomous vehicle performance.
The role involves developing automated hotspot detection algorithms and human-in-the-loop workflows for large scale map validation.
NVIDIA is committed to fostering a diverse work environment and is proud to be an equal opportunity employer.
Matching Summary
You will architect and implement map processing solutions across cloud and edge environments to enable continuous improvement of autonomous vehicle performance.
Skills & Requirements
Must-have
C++ programming for performance-critical software
Python for automation and workflow orchestration
Distributed systems and data pipelines
Containerized orchestration with Docker and Kubernetes
Workflow orchestration frameworks like Airflow
Web-based geospatial visualization tools
Map integration with autonomous vehicle systems
Nice-to-have
Experience with SD & HD mapping
Knowledge of autonomous vehicle software architectures
Understanding of road topology and graph partitioning
Background in computer vision pipelines
Embedded platform debugging and profiling
Collaborative work with perception and planning teams
Passion for building intelligent self-driving systems
Key Requirements
BS or MS degree in Computer Science or related field
8+ years experience in production data pipelines or distributed systems
Strong C++ programming skills
Strong Python programming skills
Proficiency with JavaScript for web tools
Experience with Airflow or similar frameworks
Experience with Docker, Kubernetes, cloud platforms
Experience with Protocol Buffers, gRPC, REST API design