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PR Specialist, Enterprise AI

NVIDIANVIDIA·Semiconductors

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About the role

We’re looking for a dedicated, driven and hardworking Public Relations Specialist to join our enterprise AI PR team working out of NVIDIA’s Santa Clara headquarters, supporting our products and partnerships across AI infrastructure, software and cloud computing. If you are driven and passionate about working in advanced technologies, come show us what you got!

What you’ll be doing:

  • Flawlessly execute effective PR plans and strategies

  • Help write press releases, blogs, by-lined articles and pitches

  • Manage all logistical details related to PR events and activities, including announcement pre-briefs, media interviews and tours

  • Maintain media lists, using all available tools to discover new audiences and nurture relationships with key reporters

  • Track, analyze and share meaningful media coverage important to NVIDIA

  • Coordinate the review and approval process for partner announcements and blogs

  • Support press briefing planning and process

  • Assist team with special projects as needed

What we need to see:

  • 3+ years working experience in the field of communications

  • Applicable knowledge in copywriting and editing

  • Excellent communication, presentation and interpersonal skills

  • Outstanding organization and time management skills

  • Passion for technology and pioneering the use of AI for PR

  • Strong attention to details

  • Bachelor’s degree in PR or a related field (or equivalent experience); MBA preferred.

Ways to stand out from the crowd:

  • PR experience in enterprise, data center or cloud technology

  • Ability to understand and clearly communicate the company’s strategy and technologies

  • Hands-on experience with a variety of PR campaigns, including event experience

  • Experience with AI tools and CRM platforms like Salesforce

  • Can-do attitude and a growth mindset

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 84,000 USD - 138,000 USD for Level 2, and 100,000 USD - 166,750 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 28, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Skills & Tags

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Aplyr's read

NVIDIA is a pioneering force in GPUs and AI, attracting top talent in engineering and innovation-driven roles across various tech domains.

Synthesized from recent postings & public sources

What's promising

  • NVIDIA leads the GPU market, crucial for gaming and AI applications.
  • The company invests heavily in AI and deep learning, driving technological advancements.
  • NVIDIA's strong market position offers stability and growth opportunities for employees.

What to watch

  • High competition in the semiconductor industry can impact market share.
  • Rapid technological changes require constant adaptation and learning.
  • Intense workload and high expectations may affect work-life balance.

Why NVIDIA

  • NVIDIA's GPUs are industry benchmarks in gaming and professional graphics.
  • The company's AI research is at the forefront of deep learning innovation.
  • NVIDIA's culture emphasizes cutting-edge technology and engineering excellence.

Aplyr’s read is generated by AI from public sources. Was it useful?

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About NVIDIA

NVDA$200.04-4.13%

NVIDIA is a leading technology company known for its graphics processing units (GPUs) for gaming and professional markets, as well as its advancements in artificial intelligence and deep learning.

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