[Remote] Senior Network Researcher at NVIDIA

Switzerland

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

TechnologyIndustries

Requirements

MSc/PhD in Electrical Engineering, Computer Science/Engineering, or Post-doc
5+ years of proven experience
Track record of independent research excellence
Solid foundation in networking, operating systems, simulation, and systems
Proficiency with firmware, system software, and embedded systems development to rapidly prototype

Responsibilities

Develop algorithms, protocols, and network controllers
Conduct simulations ranging from specific components to complete data center environments
Design and implement services and runtime systems
Define HW acceleration interfaces
Evaluate and optimize application performance
Partner and collaborate with industry leaders and external researchers
Participate and speak at conferences and events
Publish original research

Skills

Key technologies and capabilities for this role

NetworkingCongestion ControlSDNTransport ProtocolsRoutingFault ToleranceCryptographyOperating SystemsSimulationFirmwareSystem SoftwareEmbedded SystemsAlgorithmsProtocols

Questions & Answers

Common questions about this position

What qualifications are required for the Senior Network Researcher position?

Candidates need an MSc/PhD in Electrical Engineering, Computer Science/Engineering, or Post-doc, plus 5+ years of proven experience with a track record of independent research excellence.

What key skills and expertise are needed for this role?

A solid foundation in networking, operating systems, simulation, and systems is required, along with proficiency in firmware, system software, and embedded systems development for rapid prototyping.

What does the company culture look like at NVIDIA for this team?

NVIDIA has a unique open culture and is considered one of the best industry labs for Distributed Accelerated Computing research, with forward-thinking and hardworking people.

Is the position remote or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

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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