Posted:
11/6/2024, 4:00:00 PM
Location(s):
Shanghai, China
Experience Level(s):
Junior
Field(s):
Product
NVIDIA has become the platform upon which every new AI-powered application is built. From healthcare research applications to autonomous vehicles, or voice-recognition systems, the need for advanced perception and cognitive capabilities is exploding... and NVIDIA is right in the center of this revolution. We are looking for a Technical Program Manager who will be a key member of the AI Infrastructure Software team which focuses on improving tooling efficiency, and maximizing productivity for the data-driven development of Autonomous Vehicles (AV) software.
We are a dynamic, startup-like environment with a strong focus on execution, flexibility and teamwork. We are looking for a highly motivated product manager who shares our real passion for building world class software.
What You Will Be Doing:
:Collaborate with teams across the company to plan and drive data close loop tool development initiatives
Drive scheduling and planning for all phases of the software development process
Manage and track critical issues related to data close loop tool/platform
Build and refine metrics to track the performance of the data factory, highlight opportunities for improvement and enable data-driven decision
Propose data mining strategy to fulfill development data needs, experiment and deploy the methodology, monitor results and continue refining
Continuously assess opportunities to accelerate data loop, propose automation solutions and execute on them
What We Need To See:
BS or MS in STEM or a related field or equivalent experience
2+ years of experience in data engineering, data analytics or related field
Proficient in Python, SQL, familiar with ETL pipeline, Linux command
Excellent analytical and problem solving skills
Curious and passionate about innovation
Consistent track record to thrive in a fast-paced environment and bring order to ambiguous situations
Fluent English communication
Ways To Stand Out From The Crowd:
Experience with autonomous vehicles domain
Background in a startup environment
Experience in data close loop product management
Website: https://www.nvidia.com/
Headquarter Location: Santa Clara, California, United States
Employee Count: 10001+
Year Founded: 1993
IPO Status: Public
Last Funding Type: Grant
Industries: Artificial Intelligence (AI) ⋅ GPU ⋅ Hardware ⋅ Software ⋅ Virtual Reality