Senior Software Engineer, Data Platform Services @ NVIDIA | Jobright.ai
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NVIDIA · 11 hours ago

Senior Software Engineer, Data Platform Services

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Artificial Intelligence (AI)GPU
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Growth Opportunities
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H1B Sponsor Likelynote
Hiring Manager
Bella Yanovsky
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Responsibilities

Design and build cloud services for managing, serving, and securing data for our accelerated computing initiatives.
Connect with other technical leaders across NVIDIA to ensure you use existing technologies where possible and that we collaborate appropriately with their systems.
Collaborate with the NVIDIA research team to use new storage and compute innovations, such as GPU direct storage and DPU.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Cloud services designDistributed systemsMicroservicesProgramming GoProgramming PythonProgramming C/C++Programming JavaAlgorithmsData structuresKubernetesData platform servicesApache SparkObject StorageMetadata ManagementData lake toolsFeature Stores

Required

BS in Computer Science, Information Systems, or Computer Engineering (or equivalent experience)
5+ years of proven experience
Experience building robust services at scale. Build and maintain high volume / low latency data platform services
Strong foundation in algorithms and data structures and their real-world use cases.
Experience developing distributed systems, databases, or stream processing systems.
Experience building and operating microservices using Kubernetes and services from Cloud Service Providers.
Experience with backend systems and software engineering. Programming experience in a relevant language, e.g., Go, Python, C/C++, Java.
A strong understanding of approaches to software engineering, architecture, and design. Ability to document software and services and break down projects into practical tasks.
Communicate design, status, and other sophisticated subjects in written and oral formats.

Preferred

Hands-on experience building and managing large-scale data platform services.
Experience building products and services to solve enterprise-grade customer data analytics problems. Experience with Apache Spark, Object Storage, Metadata Management, Data lake tools (Apache Iceberg), and Machine Learning infrastructure toolset (Feature Stores)
Computer science background with Distributed systems as a specialization

Benefits

Equity
Benefits

Company

NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI.

H1B Sponsorship

NVIDIA has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (735)
2022 (892)
2021 (696)
2020 (534)

Funding

Current Stage
Public Company
Total Funding
$4.09B
Key Investors
ARPA-EARK Investment ManagementSoftBank Vision Fund
2023-05-09Grant· $5M
2022-08-09Post Ipo Equity· $65M
2021-02-18Post Ipo Equity

Leadership Team

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Jensen Huang
CEO and Founder
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Chris Malachowsky
Co-Founder, SVP
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Company data provided by crunchbase
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