NVIDIA
Full TimeLead map data validation for autonomous vehicles, developing strategy and performing manual and automated validation daily while training operators. You'll need at least 6+ years of QA or operations experience in map data validation, a bachelor's degree in computer science or related field, and GIS knowledge. This role requires deep expertise in map data structures and the ability to work cross-functionally. Base salary ranges from $152,000–$253,000 (Level 4) or $184,000–$287,500 (Level 5), plus equity and benefits.
Written from this posting by Neural Jobs AI. The full description is below.
NVIDIA is widely acknowledged as one of the most sought-after companies in the technology sector. It owns 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 validation lead to perform the validation of HD/SD map data, a vital component in autonomous driving, within our map release team. An ideal candidate should demonstrate extensive prior experience in the mapping field. They should possess deep domain knowledge of map data structure and validation strategy. They must also show outstanding ability to work with cross-functional teams.
What you’ll be doing:
What we need to see:
Ways to stand out from the crowd:
#AutonomousVehicles
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 253,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5.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 an inclusive 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.Sign in and we will show how your role, experience, salary and location line up against what this employer asked for.
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NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.
United States
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