Senior Distributed Systems Architect
4 weeks ago
NVIDIA is seeking a talented distributed systems engineer to design and develop our exa-scale AI infrastructure for ingesting, indexing, and managing data of autonomous vehicles. This is a unique opportunity to build a scalable, distributed platform that will enable the development of autonomous vehicles and other applications such as medical imaging, data science, and genomics.
Key Responsibilities:
- Design and implement scalable, distributed DaaS (Data as a Service) to ingest, index, manage, and service large-scale data.
- Collaborate with multiple AI teams to craft a future-proof platform that meets their current needs and anticipates future advancements.
- Provide foundational support for DaaS users, ensuring a seamless and productive experience.
Requirements:
- 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 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.
Preferred Qualifications:
- Platform familiarity: Experience with world-class big data processing systems and workflows such as Spark, Kafka, Temporal.
- Domain familiarity: Familiarity with autonomous vehicles domain knowledge.
NVIDIA offers highly competitive salaries and a benefits package, making it one of the most desirable employers in the technology industry. Our engineering teams are growing fast in innovative fields such as Deep Learning, Artificial Intelligence, and Autonomous Vehicles. If you're a creative computer scientist/engineer with a passion for distributed systems, we want to hear from you.
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