NVIDIA

3 months ago

Senior Solutions Architect - Deep Learning

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Lead technical engagements as a Senior Solutions Architect in Israel, guiding customers through GPU computing solutions, integrating NVIDIA tech into HPC architectures for scientific and engineering workloads, and advocating Deep Learning and data science within the NVIDIA community while delivering compelling demos and proofs-of-concept.

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Assist field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and helping customers build innovative solutions based on NVIDIA technology.
•Lead the integration of NVIDIA technology into HPC architectures to support scientific and engineering applications.
•Be an internal champion for Deep Learning and Data Science within the NVIDIA technical community.
•Develop demo solutions and showcase them to the AI ecosystem.
•Coordinate with multiple initiatives and priorities to implement new technology and products into complex projects.

Key Requirements

•5+ years of experience in software development or extensive data analytics; CUDA experience highly desirable.
•B.SC or M.SC in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.
•Experience with modern Deep Learning software architectures and frameworks including PyTorch, VLLM, Triton.
•Proven exposure to GPU technology and CUDA programming.
•Demonstrable experience in strategy, research, and communications; strong analytical and problem-solving skills.

Experience:5+ yearsDeep learningGpuAIHPCCUDA

Education:Bachelor's

Skills:CommunicationProblem-solvingLeadershipTime-managementOrganization

Languages:English

Tech Stack:PyTorchVLLMTritonCUDAPythonC++ContainersKubernetes

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

3 months ago

Senior Solutions Architect - Deep Learning

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Tel Aviv

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Key Responsibilities

•Assist field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and helping customers build innovative solutions based on NVIDIA technology.
•Lead the integration of NVIDIA technology into HPC architectures to support scientific and engineering applications.
•Be an internal champion for Deep Learning and Data Science within the NVIDIA technical community.
•Develop demo solutions and showcase them to the AI ecosystem.
•Coordinate with multiple initiatives and priorities to implement new technology and products into complex projects.

Key Requirements

•5+ years of experience in software development or extensive data analytics; CUDA experience highly desirable.
•B.SC or M.SC in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.
•Experience with modern Deep Learning software architectures and frameworks including PyTorch, VLLM, Triton.
•Proven exposure to GPU technology and CUDA programming.
•Demonstrable experience in strategy, research, and communications; strong analytical and problem-solving skills.

Experience:5+ yearsDeep learningGpuAIHPCCUDA

Education:Bachelor's

Skills:CommunicationProblem-solvingLeadershipTime-managementOrganization

Languages:English

Tech Stack:PyTorchVLLMTritonCUDAPythonC++ContainersKubernetes

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