Deep Learning Algorithm Engineering Intern - 2026 at NVIDIA

Warsaw, Woj. Mazowieckie, Poland

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Not SpecifiedCompensation

InternshipExperience Level

InternshipJob Type

UnknownVisa

Technology, Artificial IntelligenceIndustries

Requirements

Pursuing MSc or PhD in Computer Science, Artificial Intelligence, Applied Math, or related field
Excellent programming in Python, debugging, performance analysis, and test design skills
Strong algorithms and mathematical fundamentals
Good understanding of Deep Learning fundamentals
Ability to work independently and manage your own development effort
Good communication and documentation habits
Ability to work on a dynamic customer-oriented team
Excellent interpersonal skills

Responsibilities

Research, analyze, and document state-of-the-art algorithms
Design and implement a deep learning framework for model optimization
Develop algorithms for deep learning, data analytics, machine learning, or scientific computing
Analyze performance of GPU implementations
Benchmark software stacks across training and inference scenarios
Evaluate and understand capabilities of frontier models
Collaborate with team members and other partners
Interact with internal partners, users, and members of the open source community to analyze, define and implement highly optimized algorithms and DL frameworks
Perform performance tuning and analysis, define APIs, analyze functionality coverage, implement new algorithms and frameworks, and other general software engineering work

Skills

Python

Deep Learning

PyTorch

Machine Learning

GPU

Performance Analysis

Algorithms

Mathematical Fundamentals

Model Optimization

Model Compression

Large Language Models

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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