Posted:
3/17/2024, 5:00:00 PM
Location(s):
Shanghai, China
Experience Level(s):
Senior
Field(s):
AI & Machine Learning ⋅ Software Engineering
NVIDIA is hiring distributed systems and data engineers to design and develop our exa-scale AI infrastructure for ingesting, indexing and managing data of Autonomous Vehicles. Together, we will build the exa-scale software 2.0 cloud platform for one of the most ambitious problems of our time: autonomous vehicles. Then we will apply it to other applications such as medical imaging, data science, genomics and more.
What you'll be doing:
DaaS Development: Spearhead the design and implementation of scalable, distributed DaaS (Data as a Service) to ingest, index, manage and service the large scale data.
Collaborative Innovation: Work hand-in-hand with multiple AI teams, crafting a future-proof platform that not only meets their current needs but anticipates future advancements, enhancing their overall productivity.
User Support: Act as a foundational support system for DaaS users, ensuring a seamless and productive experience.
What we need to see:
Academic Excellence: A BS, MS, in Computer Architecture, Computer Science, Electrical Engineering, or a related field, or equivalent experience.
Technical Prowess: A robust programming background, emphasizing data structures, design patterns, Object-Oriented Programming (OOP), and a proficiency in Java, Scala, or Go.
Experience: At least 5 years of work or research experience in big data processing and microservice development and design.
Versatility and Motivation: The capacity to navigate between long-term and immediate tactical tasks smoothly and a strong self-motivated mentality.
Ways to stand out from the crowd:
Platform Familiarity: Experience with world-class big data processing systems and workflow such as Spark, Kafka, Temporal will be a distinct advantage.
Domain Familiarity: Familiarity with autonomous vehicles domain knowledge will be a big plus
With highly competitive salaries and a benefits package, NVIDIA is widely considered to be one of the technology industry's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working with us and our engineering teams are growing fast in some of the hottest innovative fields: Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative computer scientist/engineer with a passion for distributed systems and driving, we want to hear from you.
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