Senior Product Architect, HPC and Networking at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

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

Full TimeJob Type

UnknownVisa

High Performance Computing, Networking, Artificial IntelligenceIndustries

Requirements

12+ years of experience architecting datacenter-scale HPC or networking infrastructure as a Principal Architect, Solutions Architect, Principal Engineer, or equivalent
Bachelor's or Master's degree in Computer Science or related field (or equivalent experience)
Deep expertise in networking technologies including high-performance Ethernet (SpectrumX), InfiniBand, NVLink Switches/Fabrics, and related interconnects
Strong background in datacenter-scale network design: topologies, routing, congestion management, and fabric scalability
Experience working with benchmarking tools and performance analysis for large-scale HPC/AI networking deployments
Understanding of DPU (or similar SmartNIC) architectures and their role in software defined networking (SDN), security enforcement, and storage acceleration
Deep understanding of network isolation using VLAN, VxLAN, and EVPN overlays through SDN
Familiarity with Kubernetes networking, including CNI, Multus, and workload isolation at scale
Excellent communication skills, with the ability to distill highly technical networking concepts into actionable business and product insights

Responsibilities

Architect the next generation of datacenter-scale networking infrastructure, leveraging SpectrumX, InfiniBand, NVLink Switches, and other sophisticated interconnect technologies
Design network and hardware-focused architectures that unlock the full potential of NVIDIA GPUs, DPUs, compute and storage servers through high-bandwidth, low-latency fabrics
Stay at the forefront of networking trends: software defined networking (SDN), programmable fabrics, congestion control, and datacenter interconnects
Define detailed product architectures, including performance, scalability, interoperability, datacenter deployment requirements
Lead prototyping, benchmarking, and validation of networking-focused designs at scale, diagnosing bottlenecks and driving innovations in performance
Collaborate with internal hardware, software, security, and systems teams to ensure smooth integration of networking, processing, and storage systems
Partner with customers and ecosystem partners to co-innovate, deliver proof-of-concepts (POCs) and MVPs that showcase NVIDIA networking leadership
Contribute to developer and customer enablement by producing educational materials and advocating networking-first designs in partner forums and communities
Create technical collateral including whitepapers, reference architectures, and developer documentation to guide adoption and best practices

Skills

HPC

Networking

InfiniBand

NVLink

SpectrumX

Ethernet

DPU

SDN

GPUs

DPUs

Congestion Control

Benchmarking

Prototyping

Scalability

Interoperability

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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