Senior Distributed Systems Engineer, DaaS of AI Infrastructure

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.

NVIDIA

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