
Distributed Systems Engineer
NVIDIA is hiring a Senior Distributed Systems Engineer to architect, lead and develop scalable AI infrastructure and deep learning platforms! Great opportunity to join the core group at NVIDIA working on AI infrastructure. Architect and build scalable and distributed services that will help power the AI infrastructure for deep learning platforms. Collaborate with multiple AI teams to understand their requirements and build a platform infrastructure that improves productivity. Be a technical leader on various projects across the platform, and be a major contributor of the entire platform’s architecture.
12+ years of experience in distributed systems design and development.
Advanced programming skills to build compute systems, scalable backend services and micro services architecure.
Experience with Layer4 and Layer 7 load balancing a plus
Operational experience in AI Infrastructure.
C++
Time Management
Go
Docker
Kubernetes
Strategic Management
I/O controls
Process Improvement
Self-Motivated
Attention to detail
Communication Skills
Adaptability
According to JobzMall, the average salary range for a Distributed Systems Engineer in NVIDIA Endeavor, 2788 San Tomas Expy, Santa Clara, CA 95051, USA is between $115,000 and $145,000 per year. The salary range may vary depending on experience, skills, qualifications, and other factors.
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NVIDIA Corp. designs and manufactures computer graphics processors, chipsets, and related multimedia software. The company operates through two segments: Graphics Processing Unit and Tegra Processor. The Graphics Processing Unit segment includes sales of the company's GeForce discrete and chipset products that supports desktop and notebook PCs plus license fees from Intel and sales of memory products. The Tegra Processors segment provides processors that deliver superior visual and multimedia experience on tablets, smart phones and gaming devices while consuming minimal power.

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