Senior Developer Relations Manager at NVIDIA

Bengaluru, Karnataka, India

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

Requirements

  • BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience)
  • 10+ years of work-related experience in technical leadership role and architecting GPU accelerated computing solutions
  • Deep understanding of Agentic AI, Gen AI and LLM ecosystem of startups, ISVs, data stores, CSP services, and SaaS/platform offers
  • Strong analytical and problem-solving skills, with deep empathy for developers
  • Clear written and oral communication skills with proven track record to articulate value propositions to executive and technical audiences
  • Strong project management skills: ability to plan, prioritize, and drive forward multiple projects simultaneously, while engaging with internal and external stakeholders
  • Extensive knowledge and experience with recent advancements in LLMs, VLMs, Agentic AI and Gen AI
  • Hands-on experience with software architecture design, implementation and programming skills
  • Passionate about AI and its evolving growth with continuous learning spirit, self-started and driven on focused outcome oriented activities
  • Ways to stand out (Preferred)
  • Experience developing with ML/DL frameworks and AIOps/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 and empathy for software engineering and application development
  • Exposure to NVIDIA AI Software

Responsibilities

  • Proactively seek opportunities to solve AI problems that can be accelerated by positioning NVIDIA AI SW and be catalyst in ideation, scoping and driving for adoption
  • Position NVIDIA tools, libraries, and SDK’s with key ISVs’ and Solution Providers’ architects/developers to accelerate their software
  • Deep understanding of Agentic AI, Gen AI workflows and LLM breakthroughs, evolving ecosystem and alliances, attending conferences, building a network of influencers, and tracking opportunities in progress
  • Discover new workflows, identify blockers to ISV 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

Key technologies and capabilities for this role

AIGenerative AIAgentic AIPhysical AILLMsVLMsGPU Accelerated ComputingHigh-Performance ComputingNVIDIA SDKsMulti-cloudHybrid CloudOn-premBusiness DevelopmentProject Management

Questions & Answers

Common questions about this position

What education and experience are required for this role?

A BS or MS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience) is required, along with 10+ years of work-related experience in technical leadership and architecting GPU accelerated computing solutions.

What key skills are needed for the Senior Developer Relations Manager position?

Candidates need a deep understanding of Agentic AI, Gen AI, and LLM ecosystems, strong analytical and problem-solving skills with empathy for developers, and clear written and oral communication skills to articulate value propositions.

Is remote work possible, or is travel required?

The role makes heavy use of conferencing tools, indicating significant remote capabilities, but some travel is required.

What is the salary or compensation for this position?

This information is not specified in the job description.

What qualities make a strong candidate for this role?

A passionate, focused, self-driven, and creative technologist with in-depth AI knowledge, strong communication and collaboration skills, and the ability to stay organized while prioritizing goals will stand out.

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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