NVIDIA
SeniorDataScientist
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Scientist at NVIDIA. Skills: Deep Learning, Machine Learning, Python, Agentic AI. Develop agentic AI systems. Automate threat analysis”
Industry & Context.
creative problem solving; problem solving
What They're Looking For.
Must Have
MS/PhD, Computer Science, Computer Engineering, Electrical Engineering, Deep Learning, Machine Learning, 5+ years of experience in deep learning and machine learning in a production environment, Python programming skills, software design fundamentals, experience leveraging coding agents in development workflows, deep learning development frameworks and libraries, large scale production systems and pipelines, developing production-grade models, agentic AI systems, agent frameworks, evaluation of agent performance and reliability, algorithm development experience, inference optimization techniques, zero/few-shot learning, self-supervised and unsupervised learning, generative AI models for synthetic data creation, fine-tune / training LLM models
Nice to Have
software development experience, GPU based technologies, CUDA, CuDNN, TensorRT, tools for data processing and storage, Security and networking background, security protocols, network architectures, firewalls, intrusion detection systems
What You'll Do.
Develop agentic AI systems
Automate threat analysis
Automate response workflows
Optimize models for performance
Fine-tune models for performance
Develop models and algorithms
Implement models and algorithms
Improve models and algorithms
Leverage data pipelines
Process large volumes of data
Transform large volumes of data
Apply alignment techniques
Apply parameter efficient fine-tuning
Measure model performance
Measure application performance
Drive dataset gathering
Drive dataset building
Drive dataset annotation
How You'll Work.
Team & Collaboration
Collaborate closely with software engineers; Collaborate closely with hardware engineers; Participate in code reviews; Participate in design reviews; Participate in use case reviews; Participate in test plan reviews
Full Job Description
We're looking for a Senior Data Scientist to join the AI cybersecurity team in the Security and Networking Architecture group. As a Senior Data Scientist you’ll have the opportunity to take an active part in the research and development of NVIDIA’s world-class networking and data center security products. This role involves creative problem solving alongside engineering teams, and is key for the continued success of AI networking security. **What you’ll be doing:** * Developing agentic AI systems for security, combining generative models, RAG, and tool-augmented reasoning to automate threat analysis and response workflows. * Optimizing and fine-tuning models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost. * Developing, implementing and improving models and algorithms across media types, whether time series, images, text, audio or video. * Leveraging data pipelines to efficiently process and transform large volumes of data for training and inference purposes. * Applying alignment techniques and parameter efficient fine-tuning to improve model performance. * Measuring and benchmarking model and application performance to drive improvements. * Driving the gathering, building, and annotation of domain specific datasets for benchmarking and training. * Collaborating closely with software and hardware engineers on new features and improvements. Participate in developing and reviewing code, design documents, use case reviews, and test plan reviews. **What we need to see:** * MS/PhD with expertise in Computer Science, Computer Engineering, Electrical Engineering or related field with a focus on Deep Learning or Machine Learning. * 5+ years of experience in deep learning and machine learning in a production environment. * Excellent Python programming skills, strong software design fundamentals, and experience leveraging coding agents in development workflows. * Hands-on experience with deep learning developme
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