NVIDIA

2 months ago

Developer Relations Manager, AI Platform and Tools - MLOps

✓ 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

Lead strategic engagement in NVIDIA’s AI platform and tools ecosystem across North America. Partner with ISVs/startups in MLOps to expand adoption of NVIDIA’s AI stack, guide partner product direction, enable integrations, and help scale production AI solutions through cross-functional collaboration.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Develop and maintain deep technical expertise in MLOps, serving as the trusted technical advisor for ISVs and startups.
•Understand partner workloads and accelerate adoption by integrating NVIDIA software stack into partner products and data pipelines for performance improvements.
•Drive partner onboarding and co-innovation through reference architectures, sample code, benchmarks, and workshop content to deploy production-ready solutions.
•Engage partner technical leaders to guide best-practice integrations and surface architectural challenges to NVIDIA product/roadmaps.
•Build and expand a strategic ecosystem of AI platform and tools partners, track trends, and identify opportunities to scale NVIDIA adoption.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent experience.
•5+ years in technology with 3+ years hands-on AI experience.
•Deep domain knowledge across the enterprise MLOps lifecycle including inference serving, scalable deployment, evaluation, governance and observability pipeline.
•Proven ability to lead complex multi-stakeholder technical engagements and drive cross-functional execution.
•Excellent communication and stakeholder management, able to explain complex concepts to both engineers and executives.

Experience:5+ yearsAIMLOpsEnterprise AI

Education:Bachelor's

Skills:CommunicationStakeholder managementLeadership

Tech Stack:TensorRT-LLMNeMoDynamoNIMRAPIDSRun.aiCUDA-XCUDALibrariesSDKs

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

2 months ago

Developer Relations Manager, AI Platform and Tools - MLOps

✓ 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: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Manager level

Key Responsibilities

•Develop and maintain deep technical expertise in MLOps, serving as the trusted technical advisor for ISVs and startups.
•Understand partner workloads and accelerate adoption by integrating NVIDIA software stack into partner products and data pipelines for performance improvements.
•Drive partner onboarding and co-innovation through reference architectures, sample code, benchmarks, and workshop content to deploy production-ready solutions.
•Engage partner technical leaders to guide best-practice integrations and surface architectural challenges to NVIDIA product/roadmaps.
•Build and expand a strategic ecosystem of AI platform and tools partners, track trends, and identify opportunities to scale NVIDIA adoption.

Pay and Benefits

Salary: USD 152,000 - 287,500 annually

Equity and Bonus:Equity

Perks:Equity

Key Requirements

•Bachelor’s or Master’s degree in Computer Science, Engineering, or related field, or equivalent experience.
•5+ years in technology with 3+ years hands-on AI experience.
•Deep domain knowledge across the enterprise MLOps lifecycle including inference serving, scalable deployment, evaluation, governance and observability pipeline.
•Proven ability to lead complex multi-stakeholder technical engagements and drive cross-functional execution.
•Excellent communication and stakeholder management, able to explain complex concepts to both engineers and executives.

Experience:5+ yearsAIMLOpsEnterprise AI

Education:Bachelor's

Skills:CommunicationStakeholder managementLeadership

Tech Stack:TensorRT-LLMNeMoDynamoNIMRAPIDSRun.aiCUDA-XCUDALibrariesSDKs

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