NVIDIA

4 weeks ago

Forward Deployed Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Provide technical leadership and strategic guidance across AI accelerator engagements, advising on architecture and integration for complex hardware-software deployments. Define standards, patterns, and best practices; collaborate with product, engineering, and customer teams to shape the DSX roadmap; supervise cross-functional programs and ensure outcomes across multiple customers and partners.

Location: Santa Clara

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Cross-Account Technical Leadership: Provide architectural direction across strategic engagements where standard capabilities are not enough and advanced implementation, optimization, or integration customization is needed.
•Outcome-Focused Implementation: Help customers integrate the right components to deliver on their outcomes and guide when to adopt DSX software or alternatives.
•Hands-On Technical Leadership: Dive into complex technical challenges hands-on to solve critical problems, validate architectures, or prove out solutions.
•Strategic Initiative Ownership: Lead technically demanding programs end to end, including third-party performance benchmarking across hardware and workloads.
•Pattern Identification and Knowledge Sharing: Identify common challenges and solution patterns across engagements and share findings with internal teams and the broader AI community.

Pay and Benefits

Salary: USD 224,000 - 356,500 annually

Equity and Bonus:Equity

Key Requirements

•12+ years in technical roles such as solutions architecture, ML engineering, technical product management, or technical consulting across multiple customers or projects; or 5+ years at specialist level in AI infrastructure.
•Strong technical leadership with the ability to guide teams and influence technical decisions without direct authority.
•Systems thinking with the ability to translate customer outcomes into technical requirements and architectures.
•Willingness to prototype, implement, validate, and troubleshoot hands-on when needed to solve critical problems.
•Solid technical foundation in AI infrastructure technologies, especially Linux systems administration.

Experience:12+ yearsAI infrastructureHyperscale

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingPresentationStakeholder management

Tech Stack:CUDANeMoTritonTensorRTNIMDGX CloudKubernetesSLURMGPU schedulingCI/CD

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

4 weeks ago

Forward Deployed Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 22 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Cross-Account Technical Leadership: Provide architectural direction across strategic engagements where standard capabilities are not enough and advanced implementation, optimization, or integration customization is needed.
•Outcome-Focused Implementation: Help customers integrate the right components to deliver on their outcomes and guide when to adopt DSX software or alternatives.
•Hands-On Technical Leadership: Dive into complex technical challenges hands-on to solve critical problems, validate architectures, or prove out solutions.
•Strategic Initiative Ownership: Lead technically demanding programs end to end, including third-party performance benchmarking across hardware and workloads.
•Pattern Identification and Knowledge Sharing: Identify common challenges and solution patterns across engagements and share findings with internal teams and the broader AI community.

Pay and Benefits

Salary: USD 224,000 - 356,500 annually

Equity and Bonus:Equity

Key Requirements

•12+ years in technical roles such as solutions architecture, ML engineering, technical product management, or technical consulting across multiple customers or projects; or 5+ years at specialist level in AI infrastructure.
•Strong technical leadership with the ability to guide teams and influence technical decisions without direct authority.
•Systems thinking with the ability to translate customer outcomes into technical requirements and architectures.
•Willingness to prototype, implement, validate, and troubleshoot hands-on when needed to solve critical problems.
•Solid technical foundation in AI infrastructure technologies, especially Linux systems administration.

Experience:12+ yearsAI infrastructureHyperscale

Education:Bachelor's

Skills:CommunicationLeadershipProblem-solvingPresentationStakeholder management

Tech Stack:CUDANeMoTritonTensorRTNIMDGX CloudKubernetesSLURMGPU schedulingCI/CD

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