Senior Solutions Architect - Deep Learning

NVIDIA
Tel Aviv
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Analytical thinking","Problem-solving","Communication","Time management","Organization"]

Work with field teams to guide customers through the sales process for GPU Computing products and shape technical solutions using NVIDIA technology. Lead the integration of NVIDIA solutions into HPC architectures for scientific and engineering applications while championing Deep Learning and Data Science internally. Build and demo solutions for the AI ecosystem, leveraging modern Deep Learning stacks, GPU/CUDA capabilities, and frameworks such as PyTorch, VLLM, and Triton.

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FursaFursa
NVIDIA
NVIDIA
5 days ago

Senior Solutions Architect - Deep Learning

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 4 months ago

Job Summary

Work with field teams to guide customers through the sales process for GPU Computing products and shape technical solutions using NVIDIA technology. Lead the integration of NVIDIA solutions into HPC architectures for scientific and engineering applications while championing Deep Learning and Data Science internally. Build and demo solutions for the AI ecosystem, leveraging modern Deep Learning stacks, GPU/CUDA capabilities, and frameworks such as PyTorch, VLLM, and Triton.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Assist field business development by guiding customers through the sales process for GPU Computing products and owning the technical customer relationship.
  • •Help customers build innovative solutions based on NVIDIA technology.
  • •Integrate NVIDIA technology into HPC architectures to support scientific and engineering applications.
  • •Serve as an internal champion for Deep Learning and Data Science within the NVIDIA technical community.
  • •Develop demo solutions and showcase them to the AI ecosystem.

Key Requirements

  • •B.Sc. or M.Sc. in Engineering, Mathematics, Physics, or Computer Science, or equivalent experience.
  • •5+ years of experience in software development or extensive data analytics, with CUDA experience highly desirable.
  • •Experience with modern Deep Learning software architecture and frameworks including PyTorch, VLLM, and Triton.
  • •Proven exposure to GPU technology and CUDA programming.
  • •Strong analytical problem-solving, strategic/research thinking, and communications skills.
Experience:5+ years
Skills:Analytical thinkingProblem-solvingCommunicationTime managementOrganization
Tech Stack:CUDAPyTorchVLLMTritonGPU technologyHPC architecturesKubernetesContainersMLoPSPythonCC++Agentic AIPhysical AIDeep LearningData analytics

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
Glassdoor: 4.3
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