System Software Architecture Researcher - PhD Program at NVIDIA

Roskilde, Zealand, Denmark

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Not SpecifiedCompensation

Internship, Entry Level & New GradExperience Level

Full TimeJob Type

UnknownVisa

Technology, ResearchIndustries

Requirements

Must hold a Master’s in Electrical Engineering, Computer Science or Computer Engineering
General computer science background, preferably in algorithm design, system programming, networking, operating system, and computer architecture
Experience in low-latency RPC, network stacks, distributed systems, host data plane acceleration
Strong programming (C/C++/Python), data structures and software development skills
Track record of research excellence through publications or public repositories
Good communication skills

Responsibilities

Gain hands-on experience with designing and implementing services and applications with DPU DOCA SDK
Learn about security subsystems and systems for networking
Partner and collaborate with other forward-thinking team members and external researchers
Have the opportunity to participate and speak at conferences and events
Publish original research
Work with intelligent networking machines powered by AI systems that can learn, reason and interact with other network components

Skills

Networking

Security

Communications

RDMA

Hardware Offloading

Storage Management

Cryptography

Computer Architecture

Low-Latency RPC

Network Stacks

Distributed Systems

Host Data Plane Acceleration

DPU DOCA SDK

System Programming

Operating Systems

Algorithm Design

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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