Hiring.Camp

Principal Engineer, AI Applied Research

Intel

·

Today

Salary
$256k – $361k
Location
USA - OR - Hillsboro, United States of America
Type
Full-time
Department
Engineering
Seniority
Lead
Experience
10+ years
Education
PhD
Source
Workday

Description

Job Details:

Job Description: 

Business group
This role is part of Intel's advanced research and engineering organization, focused on pioneering AI solutions that enable Intel's technologies to remain at the forefront of innovation. The team collaborates across disciplines to solve complex challenges, push boundaries in AI development, and deliver transformative technologies that empower customers and advance Intel's mission of driving global innovation.

The Role and Impact
As a Principal Engineer in AI Applied Research, you will lead the development and implementation of cutting-edge AI models to address high-value business challenges. Your work will span the full research cycle, from exploring academic literature to creating production-ready solutions. By delivering innovative AI methods and tools, you will shape technical direction and drive impact across Intel and the broader industry.

Key Responsibilities

  • Conduct applied research to design and implement innovative AI models, including machine learning, deep learning, reinforcement learning, natural language processing, computer vision, and other areas.
  • Perform literature reviews, technical assessments, and foundational research to identify opportunities and inform technical strategy.
  • Develop proof-of-concept models and transition them to production-ready solutions that address business-critical challenges.
  • Provide technical leadership and mentorship to other engineers and researchers, fostering an environment of collaboration and growth.
  • Align organizational goals with technical vision and formulate strategic approaches to deliver leadership solutions in AI.
  • Act as a change agent to drive technical excellence and innovation across Intel and the industry.

Required Skills and Experience

  • 3yrs+ of power and performance prediction of IPs, preferably memory and logic Foundational IPs.
  • 3yrs+ Proficiency in Python and advanced programming skills applied to AI and ML model development.
  • 5yrs+ In-depth knowledge of AI fundamentals, including experience developing machine learning, deep learning, reinforcement learning, natural language processing, computer vision, or time-series prediction models.
  • 5yrs+ Proven experience with algorithm research and development, ML model evaluation, training, monitoring, and deployment processes.

Preferred Skills and Experience

  • Design and Technology Co-optimization knowledge
  • Demonstrated track record of turning nebulous ideas into big tangible benefits.
  • Track record of coaching and mentoring technical leaders and building collaborative research communities.
  • Demonstrated ability to align technical strategies with business goals and drive impactful execution.
  • Experience with prototyping, proof-of-concept designs, and systems thinking to address complex challenges.
  • Expertise in technical documentation and communication of research findings to diverse stakeholders.
  • Innovation-driven mindset and a commitment to disciplined execution in bringing technologies to market.
  • Working knowledge of developing AI Agents.

Qualifications:

  • PhD in a STEM field with special focus on Foundational IP development
  • 10+ years of experience.


We invite you to join us in shaping the future of AI innovation. Take the next step in your career and grow with Intel, where your contributions will drive meaningful breakthroughs and advance technology across industries.

          

Job Type:

Experienced Hire

Shift:

Shift 1 (United States of America)

Primary Location: 

US, Oregon, Hillsboro

Additional Locations:

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.

Benefits

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: $255,850.00-361,200.00 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.

*

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.

Skills

PythonMachine LearningDeep LearningComputer VisionPrototypingCompliance

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