Technical Marketing Engineer

1 Days Old

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 at the center of this revolution. GPU computing is the most productive and pervasive platform for deep learning and AI, starting with our advanced GPUs, systems, and software. We integrate and optimize deep learning frameworks, collaborate with major system companies and cloud providers to make GPUs accessible in data centers and the cloud, and develop hardware and software for edge devices like self-driving cars and autonomous robots.
Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below. What You’ll Be Doing:
Translate customer and application needs into detailed technical requirements for storage and network acceleration capabilities.
Define go-to-market strategies and collaborate across Marketing, PR, Sales, and other teams for implementation.
Partner with DGX ecosystem to create integrated solution blueprints.
Work with engineering teams on technical architecture, API design, dashboards, security, and enterprise readiness.
Gather technical feedback from customers to inform future roadmaps.
Coordinate with Technical Marketing and Product Marketing teams on demos, positioning, and messaging.
Conduct competitive analysis of market offerings.
What We Need To See:
Bachelor’s Degree in a quantitative field or equivalent experience.
12+ years of proven experience in technical product management, data science, data engineering, or related roles.
Hands-on experience with data science or deep learning, focusing on data movement and network interaction.
Strong analytical skills to synthesize user research, feasibility, and market trends into product strategy.
Excellent interpersonal skills to communicate value propositions to diverse audiences.
Experience deploying enterprise solutions using cloud-native technologies like Docker, Kubernetes, and SOA.
Ability to manage multiple projects in a dynamic environment.
Ways To Stand Out From The Crowd:
Experience with system administration, networking, or storage technologies.
Contributions to open-source projects.
Strong programming skills and familiarity with CUDA and GPU fundamentals.
NVIDIA is recognized as one of the most desirable employers in the tech industry, with innovative, dedicated, and talented people. Join us during this exciting time!
The base salary range is $200,000 - $322,000, determined by location, experience, and market standards. You may also be eligible for equity and benefits. Applications are accepted on an ongoing basis.
NVIDIA is committed to diversity and equal opportunity, and we do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, veteran status, disability, or other protected characteristics.
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Location:
Santa Clara, CA
Salary:
$150
Category:
Marketing, Advertising And PR

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