Manager, Operations ADAS

Posted 5 Days Ago
Be an Early Applicant
Seoul
In-Office
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Lead regional AV operations and a local team of drivers/test operators to meet schedule, scope and budget targets. Coordinate cross-functional partners, define metrics and process improvements, ensure compliance, and drive efficiency in vehicle testing and development.
Summary Generated by Built In

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

Our team takes pride in working on innovative assisted and autonomous driving technologies and products. In this leadership role, you will mentor and guide team members to reach their potential. You will encourage them to see beyond existing processes and patterns. You have the opportunity to help bring ground-breaking technologies to life and enable our customers to integrate our innovative products and technology by leading with example.

What you'll be doing:

  • Provide direction and guidance to your local team covering AV operations (contractor roles include drivers, test operators, coordinators) and run our regional operations with excellence and efficiency

  • Drive priorities to ensure our development and test fleet achieves schedule/scope/budget targets, proactively elevate risks and obstacles

  • Work with matrixed team of partners from hardware, software, operations, customers and other teams to identify gaps, resolve issues and provide RCCA

  • Proactively define and provide critical metrics and initiate improvements for efficiencies and report test execution and efficiency

  • Ensure compliant, flexible and efficient AV operations establishing and tuning matching trainings and processes to keep your assigned location fully compliant

What we need to see:

  • BS degree or greater in an engineering or SW field (or equivalent experience)

  • The role requires 5+ overall years of working experience of which 2+ years of experience leading a team

  • Hands-on experience with automotive and/or software product development and operations, ideally in an AV domain or an equivalent field like aviation

  • Strong project/program/product management fundamentals

  • Culture of continuous learning, ongoing process improvement, and a first-principles approach to problem-solving

  • Experience in influencing decisions and leading teams in a multi-functional environment, comfortable with ambiguity

  • Excellent communication and presentation abilities

Ways to stand out from the crowd:

  • Successfully delivering products from concept through launch

  • Deep understanding of product development processes, including fundamentals of automotive electronics, sensors and software

  • On the ground experience scaling vehicle operations

  • Extensive experience with critical metrics and data analytics as well as reporting dashboards and workflow management systems (e.g. Tableau, JIRA)

  • Master’s degree in engineering or business field, or equivalent experience, a plus

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

Top Skills

Automotive Electronics
Autonomous Vehicles
JIRA
Sensors
Tableau
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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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