Senior Software Architect, AI Networking at NVIDIA

Tel Aviv-Yafo, TA, Israel

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Electrical Engineering, or equivalent experience
8+ years of experience building large-scale distributed systems or performance-critical software
Deep understanding of deep learning systems, GPU acceleration, and AI model execution flows and/or high performance networking
Solid software engineering skills in C++ and/or Python, preferably with strong familiarity with CUDA or similar platforms
Strong system-level thinking across memory, networking, scheduling, and compute orchestration
Excellent communication skills and ability to collaborate across diverse technical domains

Responsibilities

Design and evolve scalable architectures for multi-node LLM inference across GPU clusters
Develop infrastructure to optimize latency, throughput, and cost-efficiency of serving large models in production
Collaborate with model, systems, compiler, and networking teams to ensure holistic, high-performance solutions
Prototype novel approaches to KV cache handling, tensor/pipeline parallel execution, and dynamic batching
Evaluate and integrate new software and hardware technologies relevant to Core Spectrum-X technologies, such as load balancing, telemetry, congestion control, vertical application integration
Work closely with internal teams and external partners to translate high-level architecture into reliable, high-performance systems
Author design documents, internal specs, and technical blog posts and contribute to open-source efforts when appropriate

Skills

Distributed Systems

Deep Learning

LLM Inference

GPU Clusters

KV Cache

Tensor Parallelism

Pipeline Parallelism

Dynamic Batching

Load Balancing

Telemetry

Congestion Control

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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