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Senior Map Data Validation Lead - Autonomous Vehicles

NVIDIA
  • Us, California
    23 days ago

    Job Description

    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:

    • Develop overarching map data validation strategy by collaborating with cross-functional teams

    • Identify gaps in the existing map data validation process and implement improvement measures across map release team

    • Perform manual and automatic map data validation on a daily basis

    • Train/support map release operators

    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 6+ years of dedicated QA or operation experience in the area of map data validation

    • GIS background a phenomenal plus

    • A motivated individual capable of working autonomously with minimal direction

    • Phenomenal team player with excellent interpersonal skills

    Ways to stand out from the crowd:

    • Extensive knowledge of HD map data verification protocols and techniques

    • A self-starter that requires minimal direction

    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.

    Applications for this job will be accepted at least until August 4, 2026.

    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.

    Numbers & Facts

    LocationUs, California
    IndustryComputer Software
    Company Size10,000 employees or more
    Year Founded1993
    Websitehttp://www.nvidia.com

    About Company

    Visualize your future . . . We Do
    NVIDIA is the world leader in graphics processing technologies, creating innovative, industry-changing products for computing, consumer electronics, and mobile devices. NVIDIA products are transforming visually-rich applications such as video games, film production, broadcasting, industrial design, space exploration, and medical imaging. We invest in our people and our technologies, support and fund industry research around the world, and consistently deliver high-quality products. NVIDIA's culture promotes and inspires a team of world-class employees to be at the top of their game. We've created an environment where talents are recognized and collaboration is valued. Our employees are shaping the world of tomorrow. . . today. We invite you to explore the opportunities available at NVIDIA to see what your future may hold.

    Skills

    • Artificial Intelligence (AI)unmatched
    • Automotive Automationunmatched
    • Autonomous Driving Systemsunmatched
    • Computer Scienceunmatched
    • Cross-Functionalunmatched
    • Data Qualityunmatched
    • Data Structuresunmatched
    • Geographic Information Systems (GIS)unmatched
    • Interpersonal Skillsunmatched
    • MAP (Mobile Application Part) Protocolunmatched
    • Process Improvementunmatched
    • Quality Assuranceunmatched
    • Team Playerunmatched

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