Senior Software Engineer - Distributed Storage

Posted:
9/16/2024, 6:10:36 AM

Location(s):
California, United States

Experience Level(s):
Senior

Field(s):
Software Engineering

Workplace Type:
Remote

NVIDIA is seeking a Senior Storage Engineer to build cloud and on-premises storage infrastructure. The goal is to enable reliable, scalable, and efficient storage to support NVIDIA workflows and tools, including compute resource management flow, observability stacks, and administrative tooling. To achieve this goal, we are looking for an engineer who has a deep understanding of distributed systems development, object storage, network file transfer protocols, and file systems.

NVIDIA is looking for a talented, highly productive Senior Software Engineer to design and implement facilities for data ingress, movement, and egress to and from our enterprise AI/ML systems and services. You will contribute to a foundational service that is critical to the usability of these important products. We are looking for an engineer who has a deep understanding of distributed systems development, object storage, network file transfer protocols, and file systems.

What You Will be doing:

  • Design, implementation, deployment, and maintenance of innovative software solutions for data ingestion, movement, and management

  • Solve technical problems spanning the areas of orchestration, distributed systems, service modeling, API modeling, monitoring, deployment, and automation

  • Build highly reliable distributed systems that our customers can depend on for their own business

  • Work with multi-function teams to make our storage and data management easier, faster, and more productive for applications

What We Need To See:

  • Strong track record of delivering distributed service in a variety of distributed computing environments, including CSPs such as AWS, Azure, and Google

  • Experience designing, implementing, and deploying distributed systems for handling large-scale data integration

  • History of ownership of product delivery from inception to support

  • Prior experience developing distributed systems with Go, Java, or similar 

  • Bachelor’s of Science in Computer Science or, a related field (or equivalent experience) with 5+ yrs of experience

Ways to stand out from the crowd:

  • Experience implementing file transfer or synchronization protocols or object storage ecosystem tooling, particularly Amazon S3

  • Previous work designing complex systems using containers and orchestrated by Kubernetes

  • Experience building high-scale distributed systems such as distributed databases, storage systems, or cloud services

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. We are looking for great people like you to help us accelerate the next wave of artificial intelligence.

The base salary range is 148,000 USD - 276,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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