NVIDIA

Network Security Research Architect

Germany

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductors & Hardware, Artificial Intelligence, High-Performance ComputingIndustries

Requirements

Candidates should possess an MSc or PhD in Electrical Engineering, Computer Science, or Computer Engineering, or equivalent experience. They must have at least 5 years of background in data center network protocols, threat modeling, and network security, as well as common mitigation techniques. Strong programming and debugging fundamentals across languages such as Python and C/C++ are required.

Responsibilities

The Network Security Research Architect will lead, research, design, develop, and implement solutions for securing networks and identifying threats and incidents. They will apply innovative security primitives to enable secure platforms, collaborate across external and internal research teams, and architecturally model, validate, and develop proof-of-concepts secure platforms. Furthermore, they will research network telemetry to support secure networking platforms’ confidentiality, integrity, and availability.

Skills

Network Security
Data Center Protocols
Threat Modeling
Network Security Mitigation
Python
C/C++
Security Research
Microarchitectural Security
Network Telemetry
Hardware-Software Co-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.

Key Metrics

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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