Senior Principal Engineer – AI Applied Research

Intel Intel · Semiconductors · Oregon, Hillsboro, United States

Senior Principal Engineer in AI Applied Research at Intel, focusing on applying AI/ML to logic IP design and semiconductor manufacturing. The role involves conducting applied research, developing proof-of-concept models, and implementing solutions to demonstrate business value, requiring expertise in deep learning, ML, RL, NLP, GNNs, and time-series. The position emphasizes leadership, influencing partners, and mentoring technical leaders.

What you'd actually do

  1. Conduct applied research to invent and adapt AI methods for solving complex business problems.
  2. Develop proof-of-concept models and implement them to demonstrate tangible business value.
  3. Perform in-depth literature reviews to identify state-of-the-art AI techniques and methods.
  4. Lead technical strategy formulation to deliver leadership solutions aligned with organizational goals.
  5. Serve as a domain expert, influencing technical direction and fostering innovation across Intel and the industry.

Skills

Required

  • Ph.D. in STEM
  • 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.
  • Proficiency with AI tools, frameworks, and platforms, including TensorFlow, PyTorch, or similar
  • Successfully executing diverse strategic projects in parallel from research through implementation
  • Influencing partner organizations, engineers through executives

Nice to have

  • Detailed knowledge of wafer processing in the fab
  • Strong communication skills
  • Experience in coaching, mentoring, and growing technical leaders
  • Proven track record of fostering collaboration within diverse, cross-functional teams
  • Demonstrated leadership in aligning technical vision with business objectives

What the JD emphasized

  • 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
  • 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

Other signals

  • applied research
  • develop transformative solutions through AI models
  • partner with IP design and manufacturing process development teams
  • develop innovating solutions through modeling
  • pushing boundaries in application of deep learning, machine learning, reinforcement learning, natural language processing, graph neural networks, time-series