Senior Software Engineer, PyTorch – Deep Learning

NVIDIA

. Design and build PyTorch components that run efficiently on supercomputers with 1000s–100ks of GPUs .

Posted 10/13/2026full-timeUnited StatesSenior💰 $200,000 - $322,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and building efficient PyTorch components for supercomputers, with a strong foundation in deep learning, C++, and CUDA programming. Proven ability to collaborate with cross-functional teams and contribute to the open source community.

Highest-signal resume keywords

Deep Learning ExpertiseC++ ProgrammingCUDA ProgrammingThread and Distributed Parallel ProgrammingOpen Source Contributions

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningC++ ProgrammingCUDA ProgrammingThread ProgrammingDistributed Parallel ProgrammingSystems SoftwareDeep Learning CompilersDeep Learning Modeling TrendsLarge Software ProjectsAI Solutions Development

Soft Skills

Verbal CommunicationWritten CommunicationCollaborationTeamwork

Tools & Technologies

PyTorchSupercomputersAI Platforms

Industry Keywords

Computer ScienceEngineeringEnterprise AI SolutionsMulti-Disciplinary Teams

Tech Stack

Tools & technologies

Open SourcePythonPyTorchC++

About the role

Key responsibilities & impact

Design and build PyTorch components that run efficiently on supercomputers with 1000s–100ks of GPUs
Collaborate with NVIDIA’s hardware and software teams to improve overall GPU performance in PyTorch
Design, build, and support production AI solutions used by enterprise customers and partners
Work with internal applied researchers to improve their AI tools
Collaborate with multiple NVIDIA teams and the international PyTorch community to develop the AI platform

Requirements

What you’ll need

BS in Computer Science or Engineering (or equivalent experience)
12+ years professional experience in deep learning
Proficient with C++ programming
Strong understanding of systems software and interfaces
Demonstrated experience with Thread and Distributed Parallel Programming
Demonstrated background developing large software projects
Strong verbal and written communication skills
Contributions and participation in the open source community
Familiarity with deep learning compilers
Familiarity with deep learning modeling trends
Background with CUDA Programming as well as Python
Demonstrated experience working with multi-disciplinary teams

Benefits

Comp & perks

Equity
Comprehensive benefits package
Equal opportunity and inclusive work environment