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NVIDIA

Senior Software Engineer, HBN

NVIDIA

Published 07 May 2026
San Francisco, CA, USA
Full Time

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Role Highlights

Languages used

Python

Key skills

Generative AI
Computer Science
Integrations
Electrical Engineering
Infrastructure
Debugging
Architecture
Deployment
Routing
Agile
Switching

Tools, Libraries and Frameworks

Linux Kernel
GPUs
Kubernetes
ARM

Description

The role involves developing and deploying machine learning models. This position will focus on building and maintaining data pipelines. The individual will be responsible for creating and optimizing algorithms. This work will contribute to the advancement of the company's AI capabilities.

Required Qualifications and Skills

The role requires proficiency in Python and SQL for data manipulation and analysis. Experience with cloud platforms such as AWS is necessary. Familiarity with containerization technologies like Docker and Kubernetes is expected. Expertise in machine learning frameworks including TensorFlow PyTorch and Scikit-learn is essential. A strong understanding of MLOps and data engineering principles is also required.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

NVIDIA

Size

27685

Founded

HQ

Santa Clara, US

Public/Private

Public Company

Description

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.

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