About the position
NVIDIA has become the platform upon which every new AI-powered application is built. From big, challenging Generative AI applications to autonomous vehicles, or voice-recognition systems, the need for advanced perception and cognitive capabilities is exploding and NVIDIA is right in the center of this revolution. GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud, and we create computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots. We are currently seeking a dynamic individual to join our team as an DGX Technical Product Manager who can move and adapt quickly to changing needs.
Responsibilities
- Translate high level customer and application needs into detailed technical requirements for product capabilities around storage and network acceleration
- Define the go-to-market strategy and contribute to the cross-functional implementation of the plan across Marketing, PR, Sales, etc.
- Collaborate with DGX partner ecosystem to create an integrated solution blueprint
- Work with engineering and core infrastructure teams on technical architecture, API design, usage dashboards, security and enterprise readiness
- Work with customers to collect technical feedback and use it to drive future roadmap
- Partner with Technical Marketing teams on demos and product marketing teams on product positioning and messaging
- Perform technical competitive analysis of other offerings in the market
Requirements
- Bachelor’s Degree in a quantitative field (e.g., Applied Math, Computational Science, Computer Science, Machine Learning, etc.) or equivalent experience
- 12+ years of proven experience as a technical product manager, data scientist, data engineer, machine learning engineer, or similar role
- Hands on work with data science or deep learning with emphasis on data movement, and network interaction
- Analytical approach and ability to synthesize user research, engineering feasibility, and market trends into product strategy
- Outstanding interpersonal skills with a validated ability to articulate a value proposition to technical and non-technical audiences
- Expertise in deploying enterprise solutions and use of cloud-native technologies on public cloud infrastructure (Docker containers, Kubernetes, service-oriented architecture)
- Ability to manage concurrent projects and priorities in a dynamic environment
Nice-to-haves
- Hands on experience in system administration, networking and/or storage technologies
- Experience collaborating with and contributing to open-source projects
- Strong programming skills and familiarity with CUDA and GPU fundamentals
Benefits
- Equity and benefits
