Senior Software Architect, Advanced Development at NVIDIA

Santa Clara, California, United States

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$184,000 – $356,500Compensation

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

Full TimeJob Type

UnknownVisa

Technology, Artificial Intelligence, High Performance ComputingIndustries

Requirements

Hold a B.Sc., M.Sc., or Ph.D. in Computer Science, Electrical or Computer Engineering from a leading university (or equivalent experience)
8+ years of industry experience (or equivalent) in system programming or related fields
Background in algorithm design
System programming expertise
Computer architecture knowledge
Strong programming and software development skills
Teammate with a can-do attitude, high energy, and excellent interpersonal skills
Ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment

Responsibilities

Research, design, and develop solutions in the field of network programmability
Work closely with various groups within NVIDIA to accelerate network programmability technologies (e.g., eBPF, P4)
Perform proof-of-concept and simulation development to evaluate and drive pioneering network programmability technology

Skills

Key technologies and capabilities for this role

system programmingcomputer architecturealgorithm designeBPFP4Kubernetesnetwork programmabilitydistributed AIdeep learningHPCSDNvirtualizationstorage

Questions & Answers

Common questions about this position

What is the salary range for the Senior Software Architect position?

The base salary range is $184,000 - $356,500 USD.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills are required for this Senior Software Architect role?

Required skills include background in algorithm design, system programming expertise, computer architecture knowledge, strong programming and software development skills, and excellent interpersonal skills with a can-do attitude.

What is the company culture like at NVIDIA for this role?

NVIDIA offers a forward-thinking and hardworking environment for creative and autonomous individuals.

What makes a candidate stand out for this position?

Candidates stand out with a proven research track record, experience with eBPF or P4 language, experience in network programmability, background in Kubernetes, and stellar communication skills.

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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