NVIDIA

1 week ago

Senior Solutions Architect, ODM Support

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Provide technical architecture leadership for rack-scale AI systems delivered through ODM and manufacturing partner integration ecosystems. Partner across NVIDIA engineering, program, account, and partner-facing teams to align platform requirements, integration strategy, validation criteria, launch readiness, and escalation paths. Develop architecture guidance and reference flows to support partner integration, validation, and deployment readiness, including system configuration and transition from NPI through production ramp, with some travel for technical alignment.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Collaborate with ODM and manufacturing integration partners to define, document, and align system architecture, integration requirements, and readiness criteria.
•Develop technical collateral, reference flows, and architecture guidance for partner integration, validation, and deployment readiness.
•Provide architectural guidance for ODM rack integration workflows, including system configuration, readiness, validation planning, issue triage, and transition from NPI through production ramp.
•Serve as a technical authority on NVIDIA products and rack-scale AI infrastructure across a cross-functional NVIDIA team.
•Support technical alignment, launch readiness, and escalation activities with some travel to conferences, customers, and partner integration sites.

Travel: Low travel

Pay and Benefits

Salary: USD 152,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•BS or MS in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields (or equivalent experience).
•5+ years of related experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions.
•Knowledge of theory and practice of AI workloads and hardware deployments.
•Experience translating platform architecture into integration, validation, and deployment requirements.
•Experience driving technical alignment across engineering, program, account, and partner-facing teams.

Experience:5+ yearsAIAccelerated computingDatacenterODM/manufacturing partnersRack-scale compute

Education:Bachelor's in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, Engineering

Skills:Interpersonal skillsAbility to explain complex technical topicsTechnical alignmentTechnical authorityCross-functional collaboration

Tech Stack:Intel x86ARMNetworkingStorageGPU solutionsRack-scale computePowerThermalFirmwareBMCLinuxCC++AI workloadsValidationDeployment

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

Loading job details...

Preparing the role view and application actions.

NVIDIA

1 week ago

Senior Solutions Architect, ODM Support

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Collaborate with ODM and manufacturing integration partners to define, document, and align system architecture, integration requirements, and readiness criteria.
•Develop technical collateral, reference flows, and architecture guidance for partner integration, validation, and deployment readiness.
•Provide architectural guidance for ODM rack integration workflows, including system configuration, readiness, validation planning, issue triage, and transition from NPI through production ramp.
•Serve as a technical authority on NVIDIA products and rack-scale AI infrastructure across a cross-functional NVIDIA team.
•Support technical alignment, launch readiness, and escalation activities with some travel to conferences, customers, and partner integration sites.

Travel: Low travel

Pay and Benefits

Salary: USD 152,000 - 287,500 annually

Equity and Bonus:Equity

Key Requirements

•BS or MS in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields (or equivalent experience).
•5+ years of related experience with Intel x86 and ARM architectures, networking, storage, and GPU solutions.
•Knowledge of theory and practice of AI workloads and hardware deployments.
•Experience translating platform architecture into integration, validation, and deployment requirements.
•Experience driving technical alignment across engineering, program, account, and partner-facing teams.

Experience:5+ yearsAIAccelerated computingDatacenterODM/manufacturing partnersRack-scale compute

Education:Bachelor's in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, Engineering

Skills:Interpersonal skillsAbility to explain complex technical topicsTechnical alignmentTechnical authorityCross-functional collaboration

Tech Stack:Intel x86ARMNetworkingStorageGPU solutionsRack-scale computePowerThermalFirmwareBMCLinuxCC++AI workloadsValidationDeployment

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