The Director of Developer Relations and Startups in India at NVIDIA leads and develops strategies to engage with developers and startups across various domains, focusing on NVIDIA's technologies in artificial intelligence (AI), deep learning, and accelerated computing.
What you'll be doing:
Leading Developer and ISV Strategy: Developing and implementing strategies to engage with developers and independent software vendors (ISVs) in India, collaborating with cross-functional teams like product, engineering, marketing, and sales.
Understanding and Prioritizing GPU Acceleration Opportunities: Identifying and prioritizing applications and services in AI and Generative AI (Gen AI) that can benefit from GPU acceleration, while also understanding application workflows and architectural requirements for enabling such acceleration.
Building Strategic Relationships: Establishing and nurturing relationships with key opinion leaders, researchers, product teams, and engineering leads at cloud service providers (CSPs) to ensure their success and incorporate their feedback into product development.
Driving Developer Engagement: Creating strategic partnerships and building community by attending research conferences, hosting technical meetups and events, and engaging with the industry to showcase NVIDIA's GPU-accelerated solutions.
Integrating NVIDIA Technology: Working to integrate NVIDIA GPU acceleration into CSP applications and solutions, while also staying aware of the competitive landscape.
Startups Engagement: Leading initiatives to recruit and engage startups into programs like NVIDIA Inception, fostering co-innovation, and supporting their journey with NVIDIA's technology.
Evangelizing NVIDIA's AI Strategy: Representing NVIDIA at industry events and partner meetings to communicate and promote the company's AI vision to both technical and business audiences.
Driving training initiatives and Operations: Working with universities, training partners and ministries to drive NVIDIA SDK, libraries adoption .
What We Need To See:
Bachelors degree or equivalent experience in Computer Science, Applied Mathematics, or related engineering field (Ph.D. or Masters preferred).
12+ overall years of experience
6+ years of meaningful experience in a technical leadership role.
World-class communication skills with a demonstrated ability to articulate a value proposition to technical and non-technical audiences.
Ways to stand out from the crowd:
Experience working on AI Deep Learning and Machine Learning Applications, AI Model Training/Inferencing and other GPU related technologies and application domain.
Strong technical understanding of Data Analytics, Conversational AI, Embedded System/Jetson.
Strong analytical, problem solving, and negotiation skills and the ability to use data analysis to support strategic decisions
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.