Senior Developer Relations Manager – AI Infrastructure ISV at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AI, SemiconductorsIndustries

Requirements

BS/MS/PhD in Computer Science or Engineering or equivalent experience
Strong leadership skills, excellent communication abilities and collaborative attitude
Proven understanding of machine learning, deep learning, and artificial intelligence platforms and ecosystems
Expertise in Linux distros, virtualization and container management dependencies for Enterprise AI deployments
Comfortably work across all major internal functional areas (engineering, sales, marketing, executives), as well as external partners, customers, and content developers
12+ years of relevant work experience

Responsibilities

Developing AI Infrastructure ISV ecosystem strategy
Working closely with strategic ISV partners to identify accelerated computing product collaboration opportunities
Drive business and technical engagements with partners to support partners’ technology, product and solution development with NVIDIA technology
Be the voice of your NVIDIA partner by influencing strategic product and roadmap decisions
Collaborating with NVIDIA’s product, marketing, business development and sales teams to evangelize and drive joint GTM motions with our partners

Skills

Key technologies and capabilities for this role

LinuxVirtualizationKubernetesContainersIT AutomationOpen SourceAI InfrastructureDeveloper RelationsPartnershipsGo-to-Market

Questions & Answers

Common questions about this position

What is the salary for this Senior Developer Relations Manager role?

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

Is this position remote or does it require office work?

This information is not specified in the job description.

What skills and experience are required for this role?

Candidates need a BS/MS/PhD in Computer Science or Engineering or equivalent, strong leadership and communication skills, proven understanding of ML/DL/AI platforms, expertise in Linux distros, virtualization and container management for Enterprise AI, and 12+ years of relevant experience.

What is the company culture like at NVIDIA?

NVIDIA is widely considered one of the technology world’s most desirable employers with forward-thinking and hardworking people; they seek creative and autonomous individuals.

What makes a candidate stand out for this position?

Stand out with background in NVIDIA GPUs, SDKs, and platforms, experience building successful strategic partnerships and versatile ISV ecosystems, and exposure to NVIDIA AI Software.

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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