Senior Deep Learning Engineer

NVIDIA

Senior Deep Learning Engineer at NVIDIA working on generative AI research and optimizations across inference stacks. Collaborating with production teams to enhance deep learning frameworks.

Posted 5/28/2026full-timeRedmond • California, Washington • 🇺🇸 United StatesSenior💰 $152,000 - $287,500 per yearWebsite

Tech Stack

Tools & technologies

PyTorch

About the role

Key responsibilities & impact

Continuously keeping up to date on the latest advancements in generative AI research.
Analyzing and prototyping emerging workloads in multi-agent AI systems, generative multimodal models, and inference-time compute scaling.
Pioneering and developing optimizations for these workloads across the inference stack to push the boundaries of inferencing quality and speed on NVIDIA systems.
Collaborating closely with production teams to incorporate the latest advancements into cutting-edge software frameworks.

Requirements

What you’ll need

Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Applied Mathematics, or related fields.
A strong foundation in deep learning, with a particular emphasis on generative models and inferencing.
A track record of at least 5 years of relevant software development experience in modern deep learning frameworks such as PyTorch.
Growth mindset and pragmatic attitude.

Benefits

Comp & perks

equity
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Hard Skills & Tools

deep learninggenerative modelsinferenceoptimizationssoftware developmentPyTorchmulti-agent AI systemsgenerative multimodal modelsinference-time compute scaling

Soft Skills

growth mindsetpragmatic attitude

Certifications

Master's degree in Computer ScienceMaster's degree in Artificial IntelligenceMaster's degree in Applied Mathematics