Principal Deep Learning Algorithm Engineer

NVIDIA

Principal Deep Learning Algorithm Engineer developing cutting-edge LLM inference solutions at NVIDIA. Conducting R&D, system design, and workload optimization in a collaborative team environment.

Posted 7/23/2026full-timeSanta Clara • California • 🇺🇸 United StatesLead💰 $272,000 - $431,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in deep learning systems design and optimization, with a strong focus on generative AI and agentic workflows. Proficient in Python and C++ programming, with a solid understanding of computer architecture and GPU computing fundamentals.

Highest-signal resume keywords

Deep Learning Systems DesignPython ProgrammingC++ ProgrammingComputer ArchitectureGPU/Parallel Datacenter Computing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Deep LearningPerformance AnalysisModelingTuningOptimization

Certifications & Qualifications

BS in Computer ScienceMS in Computer SciencePhD in Computer ScienceEquivalent Experience

Industry Keywords

Generative AILLM Software StackAgentic WorkflowsDatacenter-Scale Use Cases

Tech Stack

Tools & technologies

Python

About the role

Key responsibilities & impact

Explore and incorporate contemporary research on generative AI, agents, and inference systems into the NVIDIA LLM software stack.
Conduct in-depth analysis, profiling, and optimization of agentic LLM workloads to significantly reduce request latency and increase request throughput while maintaining workflow fidelity.
Design and implement scalable systems to accelerate agentic workflows and efficiently handle sophisticated datacenter-scale use cases.
Advise future iterations of NVIDIA software, hardware, and system by engaging with a diverse set of teams at NVIDIA and external partners and formalizing the strategic requirements presented by their workloads.

Requirements

What you’ll need

BS, MS, PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience).
15+ years of experience in deep learning and deep learning systems design.
Proficiency in Python and C++ programming
Strong understanding of computer architecture, and GPU/parallel datacenter computing fundamentals.
Proven interest in analyzing, modeling, and tuning application performance.

Benefits

Comp & perks

equity
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