NVIDIA

3 months ago

Senior Solutions Architect, NVIDIA Cloud Partners - Mexico

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Experienced Solutions Architect for NVIDIA Cloud Partners, bridging design to deployment of large-scale AI/HPC GPU infrastructure. Drive adoption of GPU-based solutions, collaborate across engineering, product, and sales teams, deliver PoCs, reference architectures, and technical content, and lead multi-disciplinary engagements with partners and customers throughout the lifecycle.

Location: Mexico

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
•Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.
•Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.
•Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
•Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.

Key Requirements

•BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
•8+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
•Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering distributed Cloud architectures.
•Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.
•Practical expertise fine tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.

Experience:8+ yearsAIGPUCloudHPCMLDeep learning

Education:Master's

Skills:PresentationCommunicationCollaborationProblem-solvingSelf-motivated

Languages:English

Tech Stack:PythonPyTorchTensorFlowNVIDIA CUDANVIDIA TritonNVIDIA NeMoSLURMKubernetesDocker

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, NVIDIA Cloud Partners - Mexico

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: Mexico

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Collaborate with NVIDIA Cloud Partners to create, implement, and deliver on NVIDIA's innovative hardware and software solutions.
•Partner with SAs, Account Managers, Engineering, Product, and business leaders to align on strategies, assess technical needs, secure business opportunities for NVIDIA.
•Become the primary technical driver for customers during the design, development, construction, integration, and production of GPU Cloud infrastructure and applications throughout the entire customer lifecycle.
•Conduct regular technical customer meetings for project/product details, feature discussions, intro to new technologies, and debugging sessions.
•Prepare and deliver technical content to customers including presentations, workshops, reference architectures, tutorials, publications.

Key Requirements

•BS/MS/PhD in Electrical/Computer Engineering, Computer Science, Physics, Mathematics, or other Engineering fields or equivalent experience.
•8+ years of Solution Engineering (or similar Sales Engineering, Cloud Engineering, Solution Architecture) including experience working directly with partners and customers.
•Experience crafting and deploying large-scale cluster environments, hands-on experience designing, developing, delivering distributed Cloud architectures.
•Strong fundamentals in programming, optimizations and software design, especially in Python and Deep Learning frameworks such as PyTorch and TensorFlow.
•Practical expertise fine tuning and deploying models, integrating software application stacks, libraries, and frameworks to drive consumption from GPU platforms.

Experience:8+ yearsAIGPUCloudHPCMLDeep learning

Education:Master's

Skills:PresentationCommunicationCollaborationProblem-solvingSelf-motivated

Languages:English

Tech Stack:PythonPyTorchTensorFlowNVIDIA CUDANVIDIA TritonNVIDIA NeMoSLURMKubernetesDocker

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