NVIDIA

1 week ago

Director, Software Architecture

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 52 minutes agoStatus: Live

Job Summary

Lead the evolution of next-generation AI data center and networking technologies as a hands-on software architecture director. Drive the evaluation and rapid adoption of emerging technologies, architect and deliver advanced networking applications using data plane programming, and shape end-to-end AI infrastructure solutions integrating GPUs, hardware acceleration, and high-performance networking. Serve as a technical thought leader, engaging customers and representing NVIDIA at key conferences.

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Architecture & Urban Planning

Seniority: Director level

Key Responsibilities

•Drive identification, evaluation, and rapid adoption of emerging technologies aligned to the strategic roadmap and measurable business outcomes.
•Lead the design and delivery of advanced networking applications using data plane programming and modern networking protocols.
•Architect AI data center solutions integrating GPU-based systems, hardware acceleration, and high-performance networking.
•Engage as a thought leader by interacting with customers, publishing technical content, and representing NVIDIA at conferences and forums.
•Define and execute a bold architectural vision for NVIDIA networking in collaboration with cross-functional software and hardware leaders.

Key Requirements

•M.Sc. or PhD. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
•12+ years of experience in software architecture, systems design, and applied research.
•8+ years of proven leadership, building and driving high-performing engineering teams in fast-paced environments.
•Strong expertise in AI inference technologies, frameworks, and large-scale distributed systems.
•Hands-on networking and AI infrastructure experience with protocols like TCP/IP, RDMA, RoCE, and InfiniBand; familiarity with AI data center architectures and acceleration SDKs (e.g., DOCA, CUDA).

Experience:12+ yearsAI data centerDistributed systemsHyperscale cloudAI inferenceHigh-performance computing (HPC)

Education:Master's in Computer Science, Computer Engineering, Electrical Engineering

Skills:LeadershipCommunicationStakeholder alignmentTechnical influenceOwnership

Tech Stack:AI inferenceTCP/IPRDMARoCEInfiniBandGPU-based systemsData plane programmingDistributed systemsDOCACUDAOperating systemsHigh-performance computing (HPC)AI storage systemsAI data center architecturesHardware acceleration technologies

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 week ago

Director, Software Architecture

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 52 minutes agoStatus: Live

Job Summary

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Architecture & Urban Planning

Seniority: Director level

Key Responsibilities

•Drive identification, evaluation, and rapid adoption of emerging technologies aligned to the strategic roadmap and measurable business outcomes.
•Lead the design and delivery of advanced networking applications using data plane programming and modern networking protocols.
•Architect AI data center solutions integrating GPU-based systems, hardware acceleration, and high-performance networking.
•Engage as a thought leader by interacting with customers, publishing technical content, and representing NVIDIA at conferences and forums.
•Define and execute a bold architectural vision for NVIDIA networking in collaboration with cross-functional software and hardware leaders.

Key Requirements

•M.Sc. or PhD. in Computer Science, Computer Engineering, Electrical Engineering, or equivalent practical experience.
•12+ years of experience in software architecture, systems design, and applied research.
•8+ years of proven leadership, building and driving high-performing engineering teams in fast-paced environments.
•Strong expertise in AI inference technologies, frameworks, and large-scale distributed systems.
•Hands-on networking and AI infrastructure experience with protocols like TCP/IP, RDMA, RoCE, and InfiniBand; familiarity with AI data center architectures and acceleration SDKs (e.g., DOCA, CUDA).

Experience:12+ yearsAI data centerDistributed systemsHyperscale cloudAI inferenceHigh-performance computing (HPC)

Education:Master's in Computer Science, Computer Engineering, Electrical Engineering

Skills:LeadershipCommunicationStakeholder alignmentTechnical influenceOwnership

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor