Are you passionate about empowering developers and shaping the future of AI at the edge and on the PC? Intel is seeking a dynamic, visionary leader to head our global Developer Evangelism team. AI inferencing is driving a technology transformation in consumer, enterprise and Edge/IOT use cases across the industry landscape. Whether it's on an AI PC where creators are using AI agents to build content and execute tasks, or in the enterprise where AI is transcribing collaboration sessions and fetching insights from the organization's data store, or at the Edge where physical and Agentic AI are coming to life in robotics, AI is everywhere.
Developers are exploring new capabilities emerging every day, leveraging LLM, VLM and VLA model architectures to do new and exciting things. Within the PC Client and Edge ecosystem of ISVs running on Intel processors, OpenVINO (https://www.openvino.ai), the open source software library used for optimized inferencing, has grown rapidly since its launch in 2018 and today gets over a million downloads a month. It's critical to the Intel ecosystem, and is leveraged by the majority of software companies. More recently, Intel launched Open Edge Platform on github for Edge/IOT industry Edge AI use cases, leveraging OpenVINO for inferencing and extending it to capabilities within Manufacturing, Retail, Smart Cities, Robotics and more.
Your Mission
This role gives the right leader a chance to shape developer outreach for one of the leading inferencing software projects in the world today, managing a global team to take growth to the next level in partnership with developer marketing.
Key Responsibilities
Additional Skills
• Self-motivated and willingness to work independently.
• Communication skills with experience in writing about, teaching and speaking about complex technical topics to both technical/business decision-maker audiences.
• Passion and empathy towards technical communities.
The right person for this job has a passion for how AI can enable new solutions for AI PC and the Edge, is a strong public communicator, is a coder fluent in deep learning and the major frameworks and has experience in prior roles supporting developers of a software platform or framework. This role will partner closely with engineering, planning, enabling and marketing teams to drive developer satisfaction and success.
Minimum Qualifications
BS in Computer Science or related field with 10+ years of related experience
5+ years of experience in the following areas:
Deep learning, AI and data science knowledge (e.g., familiar with CNN and Transformer concepts and applications).
Generative AI and Large Language Model applications and fundamentals
C, C++ and Python, and familiar with hardware accelerations.
Public presentations; experience conducting one or all of these is highly preferred: webinars, podcasts, presentations, training and writing technical blogs.
Software evangelism or developer advocate experience
Write functional code (demos) as a contributor.
Travel up to 30% of the time to developer conferences and workshops is required.
Preferred Qualifications:
Expertise in one or more AI frameworks such as PyTorch or experience in working with libraries such as Hugging Face.
PhD and peer-reviewed publications in relevant field is a huge plus.
Experience in product prototyping (both software and hardware).
Experience in working with hardware accelerated platform, instruction sets, multi-thread/multi-processors, and high-performance parallel computing languages is a plus.
Benefits:
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here:
https://intel.wd1.myworkdayjobs.com/External/page/1025c144664a100150b4b1665c750003
Annual Salary Range for jobs which could be performed in the US: $237,770.00-335,680.00 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 require an on-site presence. * Job posting details (such as work model, location or time type) are subject to change.