Principal Electrical Engineer

2 days ago


Redmond, Washington, United States Microsoft Corporation Full time
Job Description

Microsoft Corporation is seeking a highly skilled Principal Electrical Engineer to lead the design and development of cutting-edge AI hardware systems. The successful candidate will possess a strong background in hardware engineering, machine learning, and AI algorithm development.

The ideal candidate will have a solid understanding of core engineering principles, hardware architecture, System in a Chip integration, HW accelerators, and NPU. They will also have experience in hardware engineering with a focus on AI and machine learning, and shipping HW AI features including accelerators or NPUs.

The Principal Electrical Engineer will be responsible for driving the end-to-end HW AI experience for Gaming Devices, delivering hardware designs to enable AI workloads and AI input, and engaging with the AI algorithms team to define and develop models and workloads for on-device and NPU compute.

The successful candidate will also have the ability to collaborate closely with multiple teams across Gaming and Microsoft to define, drive, and deliver in the end-end AI HW experience and architecture.

Responsibilities:

  • Specifying the hardware and architecture requirements for Artificial Intelligence experiences (including NPUs, sensor input, and others) for gaming devices while optimizing for system design constraints and cost constraints.
  • Development and implementation of AI HW, models, and techniques to drive in-game experiences.
  • Driving the definition of AI workloads and benchmarking.
  • Optimizing performance, power, cost, and architecture for all aspects of AI HW related areas.
  • Working with other engineers across disciplines to design, characterize, test and debug complex AI hardware technologies for product development.
  • Design and develop AI hardware solutions that are scalable and efficient.
  • Collaborate with cross-functional teams to integrate AI hardware into broader system architectures.
  • Stay abreast of the latest AI trends and technologies to drive innovation within the company.
  • Lead the research, testing, and implementation of machine learning algorithms and predictive models in hardware.
  • Utilize big data computation and storage tools to create prototypes and datasets.
  • Conduct model training, evaluation, and tuning to ensure optimal performance.

Qualifications:

  • 14+ years of technical engineering experience.
  • OR Bachelor's degree in Electrical Engineering, Computer Engineering, or related field AND 12+ years of technical engineering experience.
  • OR Master's degree in Electrical Engineering, Computer Engineering, or related field AND 10+ years of technical engineering experience.
  • OR Doctorate degree in Electrical Engineering, Computer Engineering, or related field AND 5+ years of technical engineering experience.
  • A solid understanding of core engineering principles, hardware architecture, System in a Chip integration, HW accelerators, and NPU.
  • 4+ years Experience in hardware engineering with a focus on AI and machine learning and shipping HW AI features including accelerators or NPUs.

Additional or Preferred Qualifications:

  • Bachelor's degree in Electrical Engineering, Computer Engineering, or related field AND 15+ years of technical engineering experience.
  • OR Master's degree in Electrical Engineering, Computer Engineering, or related field AND 12+ years of technical engineering experience.
  • OR Doctorate degree in Electrical Engineering, Computer Engineering, or related field AND 15+ years of technical engineering experience.
  • In-depth knowledge of AI frameworks and tools such as Python, Java, or R, and machine learning frameworks like TensorFlow or PyTorch.
  • Demonstrated ability to develop machine learning models and AI solutions.
  • Experience with machine learning, deep learning, NLP, and computer vision.


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