About the Role
Join Intel's Client Developer Group as an AI Developer Evangelist, where you'll bridge the gap between cutting-edge Intel AI technologies and the global developer community. You'll serve as both a technical expert and passionate advocate, helping developers unlock the full potential of Intel's AI platforms while championing their needs within our organization.
What You'll Do
• Community Engagement: Build and nurture relationships with AI developers, data scientists, and technical communities worldwide
• Technical Evangelism: Present at conferences, meetups, and industry events to showcase Intel's AI technologies and developer tools
• Content Creation: Develop compelling technical content including blog posts, tutorials, videos, and documentation
• Developer Advocacy: Act as the voice of developers within Intel, influencing product roadmaps and developer experience improvements
• Ecosystem Growth: Drive adoption of Intel AI platforms by creating resources, samples, and best practices that accelerate developer success
• Thought Leadership: Engage with the developer community to position Intel as the platform of choice for AI development
What We're Looking For
• Engineering background with hands-on experience in AI/ML development
• Proven ability to communicate complex technical concepts to diverse audiences
• Experience with public speaking, content creation, or developer relations
• Passion for emerging technologies and developer communities
• Strong interpersonal skills and ability to build authentic relationships
Impact You'll Make
Your work will directly influence the growth and success of Intel's AI developer ecosystem, helping thousands of developers build innovative applications while ensuring Intel platforms deliver exceptional developer experiences.
Minimum Qualifications
• Education and Experience: Bachelor's degree in Computer Science, Engineering, or related technical field with 7+ years of relevant work experience
• Partnership Experience: Proven track record working directly with software partners, developer communities, or external technical stakeholders
• Programming Proficiency: Hands-on experience with one or more of the following:
o Programming languages: Python, C/C++, JavaScript
o Web technologies: HTML5, CSS
o AI/ML Expertise: Practical experience in Machine Learning and Deep Learning, including:
o ML/DL frameworks: PyTorch, TensorFlow, scikit-learn
o Physical AI applications: Experience with AI systems that interact with the physical world (robotics, computer vision, edge AI, IoT, autonomous systems)
o Model development, training, and deployment
• Communication Skills: Excellent written and verbal communication abilities with demonstrated capacity to explain complex technical concepts to diverse audiences
• Travel Flexibility: Willingness to travel domestically and internationally (approximately 20-30 percent of the time)
Preferred Qualifications
• Advanced Education: Master's degree in Computer Science, Electrical Engineering, or related technical field
• Content Creation: 5+ years of experience in technical content creation including:
o Technical blogging with established readership
o Published articles or whitepapers
o Video content or tutorials
• Public Speaking: Demonstrated experience presenting at conferences, meetups, user groups, or industry events
• Technical Leadership: Success as a software developer, architect, technology evangelist, or technical consultant
• Specialized Experience:
o Intel Tools and Libraries: openVINO, VTune, oneMKL
o Edge AI and inference optimization
o Computer vision and sensor fusion applications
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $137,610.00-194,270.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.*
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.