Used Tools & Technologies
Not specified
Required Skills & Competences ?
Marketing @ 3 Security @ 3 System Administration @ 3 Linux @ 3 Machine Learning @ 3 Data Engineering @ 5 Networking @ 3 Product Management @ 3 API @ 3 CUDA @ 2 GPU @ 3Details
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 built on top of them. NVIDIA integrates and optimizes every deep learning framework. They collaborate with major systems companies and cloud service providers to make GPUs available in data centers and the cloud, and create computers and software to bring AI to edge devices such as self-driving cars and autonomous robots.
Responsibilities
- Work with product management in planning and execution of content creation and collateral development for DGX solutions.
- Collaborate with DGX partner ecosystem to build an integrated solution blueprint.
- Work with engineering and core infrastructure teams on technical architecture, API design, usage dashboards, security, and enterprise readiness.
- Partner with UX teams in defining the end-to-end user journey from feature discovery to commercial adoption.
- Partner with Technical Marketing teams on demos and product marketing teams on product positioning and messaging.
- Support Sales & Partner Enablement by developing training materials, sales enablement tools, and technical content to empower internal teams, partners, and customers.
- Perform technical competitive analysis of other offerings in the market.
Requirements
- Bachelor's Degree in a quantitative field such as Computer Science, Applied Math, Computational Science, Machine Learning, or equivalent experience.
- 5+ years of proven experience as a data scientist, data engineer, machine learning engineer, or a similar role.
- Hands-on experience deploying AI infrastructure including servers, networking, and storage.
- World-class interpersonal skills with ability to articulate value propositions to both technical and non-technical audiences.
- Ability to manage concurrent projects and priorities in a multifaceted environment.
Ways To Stand Out From The Crowd
- Hands-on experience in Linux system administration.
- Curiosity and a hands-on drive to experiment with NVIDIA's latest hardware and software as a power user and technical storyteller.
- Prior Technical Marketing position with enterprise products.
- Strong programming skills and familiarity with CUDA and GPU fundamentals.
NVIDIA is widely considered one of the technology world’s most desirable employers, with a workforce of forward-thinking and hardworking people. Creativity and self-starting attitude are highly valued.
Salary
The base salary range is:
- Level 3: $128,000 - $201,250 USD per year
- Level 4: $160,000 - $253,000 USD per year
There is also eligibility for equity and benefits.
Equal Opportunity
NVIDIA is committed to fostering a diverse work environment and is an equal opportunity employer. They do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.