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NVIDIA

Senior Software Engineer, Deep Learning Inference

NVIDIA

Published 30 Apr 2026
San Francisco, CA, USA
Full Time

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Role Highlights

Languages used

CUDA
Triton

Key skills

AI
Deep Learning
Generative AI
Computer Science
Optimization
Research
LLMs
Inference
Data
Servers
Operators
Deployment
Transformers
Modelling
Infrastructure

Tools, Libraries and Frameworks

GPUs
PyTorch

Description

This role involves developing and deploying machine learning models. The individual will be responsible for building and maintaining data pipelines. They will also contribute to the design and implementation of new features. The position requires collaboration with cross-functional teams to deliver innovative solutions.

Required Qualifications and Skills

The role requires proficiency in Python, SQL, AWS, Docker, and Kubernetes. Experience with machine learning frameworks such as PyTorch, TensorFlow, Scikit-learn, Pandas, and NumPy is essential. A strong understanding of data structures and algorithms is also necessary. A Bachelor's degree in Computer Science or a related field is preferred.

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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