Senior Principal Engineer – AI Applied Research

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About This Role

  • The Role and Impact: Are you ready to shape the future of artificial intelligence application to high-risk high-reward problems in Logic IP Design and its co-optimization with semiconductor manufacturing process, to make a large impact to outcomes? As Senior Principal Engineer in AI Applied Research, you will drive strategic advancements in AI applications to high-priority technical problems.
  • In this role, you will lead efforts to develop transformative solutions through AI models.
  • You will partner with IP design and manufacturing process development teams to identify high impact problems, develop innovating solutions through modeling, test/iterate and implement them to show tangible business value.
  • This is a leadership role requiring significant influence with partners throughout the journey and with modeling teams in developing novel models.
  • You will be at the forefront of pushing boundaries in application of deep learning, machine learning, reinforcement learning, natural language processing, graph neural networks, time-series, etc.
  • Your expertise will help align technical vision with organizational goals, pushing the limits of power-performance-area-cost advantage of new technology node offerings by Intel.
  • As a domain expert, you will mentor technical leaders, foster collaboration, and serve as a trusted advisor across organizations.
  • Join us to inspire change and play a pivotal role in driving Intel's success.
  • Key Responsibilities: Conduct applied research to invent and adapt AI methods for solving complex business problems.
  • Develop proof-of-concept models and implement them to demonstrate tangible business value.
  • Perform in-depth literature reviews to identify state-of-the-art AI techniques and methods.
  • Lead technical strategy formulation to deliver leadership solutions aligned with organizational goals.
  • Serve as a domain expert, influencing technical direction and fostering innovation across Intel and the industry.
  • Mentor and develop technical leaders, exemplifying Intel values and strengthening the community.
  • Collaborate across teams to solve group-level problems and drive relentless execution of transformative AI solutions.

Requirements

  • Ph.D. in STEM and 15+ years of experience. 10+ years of experience in Logic IP design and/or Design Technology Co-Optimization 10+ years of expertise in algorithm research and development, deep learning models, and applied AI techniques. 6+ years of proficiency in programming languages such as Python, R, etc. and with AI tools, frameworks, and platforms, including TensorFlow, PyTorch, or similar.
  • Multiple instances of successfully executing diverse strategic projects in parallel from research through implementation, delivering impactful results.
  • Multiple instances of influencing partner organizations, engineers through executives, in aligning to high business value problems and solutions Preferred Qualifications: Detailed knowledge of wafer processing in the fab Strong communication skills with the ability to articulate complex ideas effectively.
  • Experience in coaching, mentoring, and growing technical leaders.
  • Proven track record of fostering collaboration within diverse, cross-functional teams, and influencing partners at all levels - from engineers to senior executives.
  • Demonstrated leadership in aligning technical vision with business objectives.
  • Passion for driving innovation, coupled with a commitment to Intel's values of trust and integrity.

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: $292,910.00-413,520.00 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.

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Intel

US, Oregon, Hillsboro

Specialisation
Open roles at Intel
712 positions
Job ID
/job/US-Oregon-Hillsboro/Senior-Principal-Engineer---AI-Applied-Research_JR0281578

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