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Intern Google Rf Engineer Jobs in Raleigh, NC (NOW HIRING)

Lead Network Security Engineer - Palo Alto

Durham, NC · Hybrid

$101K - $138K/yr

Familiarity with cloudbased security solutions within AWS, Azure, or Google Cloud. * Experience ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Lead Network Security Engineer - Palo Alto

Durham, NC · On-site

$101K - $138K/yr

Familiarity with cloud-based security solutions within AWS, Azure, or Google Cloud. * Experience ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Five or more years of experience with digital analytics platforms (Adobe Analytics, Google ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Five or more years of experience with digital analytics platforms (Adobe Analytics, Google ... Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees ...

Intern Google Rf Engineer information

See Raleigh, NC salary details

$10

$18

$28

How much do intern google rf engineer jobs pay per hour?

As of Aug 24, 2026, the average hourly pay for intern google rf engineer in Raleigh, NC is $18.78, according to ZipRecruiter salary data. Most workers in this role earn between $15.67 and $20.34 per hour, depending on experience, location, and employer.

What does an Intern Google RF Engineer do?

An Intern Google RF (Radio Frequency) Engineer typically assists in designing, testing, and optimizing wireless communication systems and hardware. Their responsibilities may include conducting RF measurements, analyzing signal data, supporting prototype development, and collaborating with teams to solve technical challenges. Interns often work under the guidance of senior engineers, gaining hands-on experience with cutting-edge wireless technologies used in Google products. This role helps interns develop skills in RF circuit design, simulation tools, and troubleshooting techniques relevant to the telecommunications industry.

What types of projects and responsibilities can an Intern Google RF Engineer expect during their internship?

As an Intern Google RF Engineer, you can expect to work on real-world wireless communication projects, such as assisting with the design, testing, and optimization of radio frequency systems used in Google devices and infrastructure. Interns often collaborate closely with experienced RF engineers, hardware teams, and software developers to analyze signal performance, conduct lab measurements, and troubleshoot RF issues. You'll likely use industry-standard tools and simulation software, gaining hands-on experience and exposure to the latest wireless technologies. This collaborative and fast-paced environment provides valuable opportunities to learn, contribute to impactful projects, and build a strong technical foundation for a career in RF engineering.

What are the key skills and qualifications needed to thrive as an Intern Google RF Engineer, and why are they important?

To thrive as an Intern Google RF Engineer, you need a solid understanding of radio frequency theory, signal processing, and wireless communication fundamentals, typically supported by coursework in electrical engineering or a related field. Familiarity with RF design tools like MATLAB, ADS, and network analyzers, as well as experience with simulation and measurement systems, is often required. Strong analytical thinking, problem-solving abilities, and effective teamwork are valuable soft skills for this role. These skills and qualities are critical for addressing complex RF challenges and contributing to innovative wireless solutions in a collaborative environment.
Infographic showing various Intern Google Rf Engineer job openings in Raleigh, NC as of August 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 84% Physical, 5% Hybrid, and 11% Remote job distribution, with an average salary of $39,053 per year, or $18.8 per hour.

Digital Marketing & AI Enablement Intern

Raleigh, NC • On-site

$20/hr

Part-time, Internship

Posted 14 days ago


Job description

The Digital Marketing & AI Enablement Intern supports the development and execution of digital marketing programs and AI-powered solutions for clients and internal teams. This role combines traditional digital marketing responsibilities with emerging technology initiatives, including content development, social media management, analytics, AI agent support, workflow automation, and process documentation. The intern will gain practical experience working across marketing, technology, and operations while helping deliver innovative solutions that improve client outcomes, operational efficiency, and business performance. This is a fall, part-time opportunity.
Responsibilities:
Other responsibilities may be assigned.
  • Support digital marketing campaigns across web, email, social media, and other content channels under team guidance.
  • Draft, schedule, and publish approved social content using tools like Monday.com, HubSpot, Hootsuite, Mailchimp, Pardot, Marketing Cloud, Emplify or Sprout.
  • Assist with website content updates, page edits, UTM creation, QR code generation, image uploads, and basic formatting in CMS platforms.
  • QA web pages for broken links, typos, mobile responsiveness, accessibility basics, and brand consistency.
  • Monitor social channels for trends, engagement opportunities, and audience questions; escalate responses when needed.
  • Assist with email list maintenance, basic segmentation, campaign setup, and QA testing.
  • Pull basic performance metrics and help prepare campaign reports.
  • Research digital trends, competitor activity, hashtags, keywords, and content ideas.
  • Help organize assets, documentation, and content inventories.
  • Pull basic performance metrics and help prepare campaign reports from tools like Google Analytics, HubSpot, or similar platforms.
  • Collaborate with developers, designers, and digital team members to meet deadlines and support client deliverables.
  • Assists in the design, configuration, testing, and optimization of AI agents by supporting workflow development, prompt creation, data organization, and performance evaluation to help deliver effective AI-powered solutions.
  • Help document agent logic, automation flows, and operational procedures.
  • Research emerging AI tools, models, and automation capabilities.
  • Work with operational and client teams to identify AI enablement and automation opportunities.

Skills/Qualifications:
  • Current student or recent graduate pursuing computer science, information systems, marketing, communications, advertising, digital media, or a related field.
  • Foundational understanding of digital marketing, social media, email marketing, and content creation.
  • Foundational understanding of AI concepts, including large language models (LLMs), prompt engineering, automation workflows, and agent-based systems.
  • Familiarity with AI development or automation tools such as OpenAI, Microsoft Copilot, Zapier, Make, Power Automate, or similar low-code/no-code platforms.
  • Understanding of workflow logic, API integrations, or system-to-system communication concepts.
  • Familiarity with LinkedIn, Instagram, Facebook, X/Twitter, YouTube, and emerging social platforms.
  • Basic familiarity with HTML, CSS, CMS platforms, Java, and website structure.
  • Interest in UX, accessibility, GEO/SEO, analytics, and digital content best practices.
  • Comfortable learning web tools, plugins, marketing and analytics platforms, and project management systems.
  • Strong writing, editing, organization, and communication skills.
  • Detail-oriented, curious, collaborative, and able to manage assigned tasks in a hybrid work environment.
  • Ability to collaborate effectively with technical and non-technical team members.
  • Basic understanding of cybersecurity principles, access control, and data protection best practices.
  • Strong analytical and problem-solving skills with the ability to think logically through technical challenges.
  • Ability to document technical processes clearly and accurately.
  • Interest in AI enablement within business environments, including internal operations and client-facing applications, and eagerness to experiment responsibly with emerging AI and automation technologies.