Nvidia Technical Marketing Engineer 

United States, California 

387971033

What You’ll Be Doing:

• 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.

What We Need To See:

• 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.

Ways To Stand Out From The Crowd:

• 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.