Developer Relations Manager - GSI at NVIDIA

Bengaluru, Karnataka, India

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, TechnologyIndustries

Requirements

  • BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience)
  • 12+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions
  • Deep understanding of Gen AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers
  • Strong analytical and problem-solving skills combined with an ability to multitask effectively in a dynamic environment
  • Clear written and oral communication skills with proven ability to articulate value propositions to executive and technical audiences
  • Extensive knowledge, curiosity, and experience with recent advancements in LLMs and Gen AI
  • Ways to stand out
  • Experience developing with ML/DL frameworks and MLOps ecosystem of partners and solutions in the cloud and on-prem
  • Background with cloud-based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques
  • Experience in software engineering and application development

Responsibilities

  • Closely engage with partner executives and practice leaders on building strategy and execution plan to grow Gen AI and LLM capabilities and solution offers
  • Deeply understand Gen AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress
  • Promote NVIDIA tools, libraries, and SDK’s with partner architects and developers
  • Discover new workflows, identify blockers to partner adoption, and report back to the product teams
  • Drive early adoption of new products and support launch and go-to-market activities
  • Collaborate with NVIDIA partner managers, solution architects, industry business development managers, sales and marketing

Skills

Generative AI
LLMs
Machine Learning
Deep Learning
GPU Accelerated Computing
Multi-Cloud
Hybrid Cloud
On-Premises
Technical Evangelism
Business Development

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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