Junior Data Scientist

About This Role

NVIDIA is hiring a Junior Data Scientist to work on GPU performance analytics, deep learning model evaluation, or enterprise AI product intelligence. You will use NVIDIA's own computing infrastructure to process massive datasets and develop models that support the company's AI hardware and software roadmap decisions.

Job Overview

• Job Title: Junior Data Scientist
• Company: NVIDIA
• Location: Santa Clara, CA / Seattle, WA / Austin, TX / Durham, NC / Westford, MA
• Job Type: Full-time
• Experience Level: Entry-level (0–2 years)
• Salary Range: $46–$64/hr
• Posted Date: 2026-06-04
• Application Deadline: 2026-07-04

Role Context

NVIDIA data scientists work in uniquely compute-rich environments. You may analyze GPU telemetry across data centers, benchmark deep learning training workloads, or build internal analytics tools that support the teams building H100, Blackwell, and future AI chips. Collaboration with research scientists and hardware engineers is common.

Key Responsibilities

• Analyze GPU performance, utilization, and efficiency data from NVIDIA's data centers and enterprise customers
• Develop Python-based ML models for workload characterization and performance prediction
• Build internal dashboards and monitoring tools using NVIDIA's data infrastructure
• Process and analyze deep learning benchmark datasets across multiple GPU generations
• Collaborate with hardware and software teams to identify compute bottlenecks
• Contribute to model evaluation frameworks for generative AI and LLM workloads

Requirements & Skills

• Bachelor's or Master's in Computer Science, Electrical Engineering, Data Science, or Applied Mathematics
• Strong Python skills — NumPy, pandas, PyTorch or TensorFlow familiarity
• Experience with GPU programming (CUDA) or deep learning training workflows is a plus
• SQL proficiency for querying performance and benchmark datasets
• Ability to interpret model benchmarks and hardware performance metrics
• Genuine enthusiasm for AI hardware and accelerated computing

Benefits & Work Conditions

• $46–$64/hr with NVIDIA stock (RSUs) and performance bonus
• Onsite at NVIDIA's Santa Clara campus with access to world-class GPU clusters
• Comprehensive health, dental, and vision insurance
• Annual learning budget and access to internal AI research tools
• 401(k) with company match and generous parental leave

Who Should Apply

Graduates with a strong foundation in computer science or engineering who are passionate about AI infrastructure and compute performance. This role is ideal if you want to do data science in a uniquely hardware-adjacent context — understanding not just model performance but the silicon it runs on.

About the Company

NVIDIA is the world's leading GPU manufacturer and a dominant force in AI computing. Its data centers, software stack (CUDA, cuDNN, TensorRT), and developer ecosystem power the vast majority of generative AI training workloads worldwide. NVIDIA was the most valuable company by market cap for much of 2025–2026.

How to Apply

Apply through NVIDIA Careers. Search for data science or AI analytics roles. The interview process includes a technical coding screen, a Python/ML exercise, and a panel covering data analysis, system thinking, and behavioral questions.