Senior Developer Relationship Manager – GenAIOps at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

AI, Technology, Accelerated ComputingIndustries

Requirements

BS/MS/PhD in Computer Science or Engineering or equivalent experience
Strong leadership skills, excellent communication abilities and collaborative attitude
Proven understanding and experience of MLOps, LLMOps, GenAIOps, generative AI, and/or agentic AI
12+ years of meaningful work experience

Responsibilities

Developing GenAIOps ecosystem strategy
Working closely with strategic partners to identify accelerated computing and Generative AI product collaboration opportunities
Driving technical engagement and product collaboration with partners to support partners’ technology, product and solution development with NVIDIA products and technologies
Collaborating with NVIDIA’s product/engineering teams to influence the NVIDIA product and roadmap development based on the voice of NVIDIA partners
Collaborating with NVIDIA’s product, marketing, business development and sales teams, advocate partners’ solutions, showcase NVIDIA enabled solutions, and drive joint GTM with partners

Skills

MLOps

GenAIOps

LLMOps

Generative AI

Agentic AI

Accelerated Computing

NVIDIA NeMo

NIMs

NeMo Microservices

AI Ecosystem Development

Product Roadmap

Go-to-Market

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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