NVIDIA is widely acknowledged as one of the most sought-after companies in the technology sector. It leads the industry with groundbreaking developments in High-Performance Computing, Artificial Intelligence, and Visualization. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.
We are looking for an accomplished Map Data QA to perform the validation of HD/SD map data, a vital component in autonomous driving. An ideal candidate should demonstrate extensive prior experience in the mapping field and deep domain knowledge of map data structure and validation strategy. They should also be proficient in producing data validation reports.
What you’ll be doing:
Develop a strategy for verifying map data to meet product requirements
Define map data validation rules
Participate in the development of automated map data validation framework
Perform map data validation
Train/support mapping operators on analyzing data validation results
Produce data validation report
What we need to see:
Bachelor’s degree in computer science or related field or equivalent experience
Extensive knowledge of map data validation standards and methodologies
At least 5 years of dedicated QA work in the area of map data validation
GIS background a great plus
A motivated individual capable of working autonomously with minimal direction
Phenomenal team player with excellent communication skills
Ways to stand out from the crowd:
Extensive knowledge of HD map data verification protocols and techniques
A self-starter that requires minimal supervision
You will also be eligible for equity and benefits.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.