Senior Developer Relations Manager, AI Platform Software at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, TechnologyIndustries

Requirements

BS/MS/PhD in Computer Science or Engineering or equivalent experience
8+ Years of working experience in a relevant field
Ability to manage new and existing technical and business alliances across multiple partner groups and the peer NVIDIA team(s)
Proven understanding of AI/ML software ecosystem and GPU acceleration libraries
Excellent communication abilities and collaborative attitude across all major internal functional areas (engineering, sales, marketing, executives) as well as external partners, customers, and content developers
Solid understanding of training and inference software stack – which markets are emerging most quickly, key players
Technical background in AI/ML systems
Fundamentals of computer systems architectures (ISAs) including x86, Arm
Proven experience developing, architecting, leading or managing several software ecosystem projects with external partners
Solid understanding and success co-marketing and evangelizing production ready projects

Responsibilities

Drive technical, business and marketing collaboration with NVIDIA platform software ecosystem partners for AI platform software
Drive the engagement between partners and NVIDIA’s internal engineering, product and marketing teams to enable a rich ecosystem for NVIDIA’s products adoption
Define strategic engagements, lead existing and new collaborations to a successful outcome, and contribute to their evangelization with developers and customers
Build relationships with partners (engineering, product management and marketing leads, executives) for inference and training frameworks, kernel and communication libraries
Work with leading software companies and developer communities to drive adoption of NVIDIA platforms and solutions
Understand application workflow and architectural requirements to enable GPU-based workload acceleration
Integrate NVIDIA acceleration libraries and runtime into partner's applications while staying alert to the competitive landscape
Drive technical engagement with partners to support partners’ technology, product and solution development
Collaborate with NVIDIA and partner marketing leads to promote partners’ solutions and showcase use cases NVIDIA enables
Collaborate with product/engineering teams to capture partners requirements and prioritize engagements
Create strategic partnerships and build community by attending research conferences, hosting technical meetups, and engaging in industry events to showcase NVIDIA GPU-accelerated solutions

Skills

Key technologies and capabilities for this role

Generative AIAI PlatformModel TrainingInferenceDeveloper RelationsPartnershipsSoftware EcosystemNVIDIA TechnologiesEngineering CollaborationResearch Applications

Questions & Answers

Common questions about this position

What is the employment type for this position?

This is a full-time position.

Is this role 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?

The role requires proven experience developing, architecting, leading or managing software ecosystem projects with external partners, technical background in AI/ML systems, fundamentals of computer systems architectures including x86 and Arm, and success in co-marketing and evangelizing production-ready projects.

What is the company culture like at NVIDIA for this role?

The role involves working at the intersection of state-of-the-art research and production, building strategic partnerships with software ecosystem partners and developer communities, and collaborating with NVIDIA's internal engineering, product, and marketing teams in a high-profile position focused on accelerated computing.

What makes a strong candidate for this Developer Relations Manager role?

A strong candidate is passionate about AI and Generative AI applications, has experience leading partnerships with developers in AI software ecosystems, technical expertise in AI/ML and computer architectures, and a track record in driving technical engagements and co-marketing production-ready projects.

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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