Alliances Manager, Accelerated Compute Platform Software Ecosystem at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, High Performance Computing, Artificial IntelligenceIndustries

Requirements

  • BS/MS/PhD in Computer Science or Engineering or equivalent experience
  • 7+ 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)
  • Able to drive NVIDIA platforms, messaging and strategic directions into the peer alliance teams and ultimately mutual customer base
  • Proven understanding of HPC, Enterprise and/or AI/ML software ecosystem as deployed on today's x86, x64 and Arm platforms
  • Excellent communication abilities and collaborative attitude
  • Solid understanding of schedulers and AI inference for HPC, AI/ML and cloud (consumer and enterprise) – which markets are emerging most quickly, key players, competitors, etc
  • Proven experience developing, architecting, leading or managing several software ecosystem projects with external partners
  • Technical background in HPC or AI/ML
  • Fundamentals of computer systems architectures (ISAs) including x86, Arm
  • 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 HPC, AI/ML (e.g. schedulers, AI inference)
  • 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 for developer tools and communication middleware (engineering, product management and marketing leads, executives), including leading software companies and developer communities to drive adoption of NVIDIA platforms and solutions
  • Map the collaboration opportunities with each partner (Markets served, core enabling technologies, strategic agreements)
  • 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
  • Partner with industrial alliance managers (peers), account managers, Marketing and GMs across industries to highlight partners and drive industry-specific activities
  • Collaborate with product/engineering teams to capture partners requirements and prioritize engagements

Skills

Key technologies and capabilities for this role

HPCAI/MLx86ArmISAsschedulersAI inferencedeveloper toolscommunication middlewareco-marketing

Questions & Answers

Common questions about this position

What is the employment type for this Alliances Manager role?

The position is full-time.

Is this Alliances Manager position remote or office-based?

This information is not specified in the job description.

What skills and experience are required for the Alliances Manager role?

Candidates need proven experience developing, architecting, leading or managing software ecosystem projects with external partners, technical background in HPC or AI/ML, fundamentals of computer systems architectures including x86, Arm, and a solid understanding of co-marketing and evangelizing production-ready projects. A proven understanding of HPC, Enterprise and/or AI/ML software ecosystem as deployed on x86, x64 and Arm platforms is also required.

What does the team environment look like for this role at NVIDIA?

The role involves collaborating with NVIDIA’s internal engineering, product and marketing teams, partner teams including engineering, product management, marketing leads and executives, as well as industrial alliance managers, account managers, and GMs across industries.

What makes a strong candidate for the Alliances Manager position?

A strong candidate has the ability to manage new and existing technical and business alliances across multiple partner groups and NVIDIA teams, drive platforms and strategic directions to customers, and possesses excellent communication skills evident from the role's emphasis on relationship-building and collaboration.

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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