Signal Integrity/Power Integrity AI Engineer

Engineering Hillsboro, Oregon


Description

Job Description Overview:

Our Advanced Electromagnetic Technical Division specializes in innovative electromagnetic-related signal integrity (SI) and power integrity (PI) system design. We are seeking a highly motivated and talented recent PhD graduate to contribute to the development of novel signal integrity and power integrity technology using both AI and conventional SI/PI simulation tools. This position offers an exceptional opportunity to leverage your advanced knowledge and research experience in SI/PI simulation, work with cutting-edge technologies, and significantly impact performance and methodology enhancement.

Essential Duties and Responsibilities:

  • Conduct advanced signal integrity and power integrity simulations.
  • Analyze simulation results and conduct in-depth studies for design improvement.
  • Lead research efforts on the improvement of simulation methodology, incorporating AI techniques.
  • Develop and implement standardized processes for the deployment of new methodologies.
  • Maintain good attendance and punctuality


Knowledge and Skills:

  • Understanding of electromagnetic theory and transmission line theory.
  • Knowledge in general AI/machine learning techniques, such as regression, classification, and neural networks.
  • Proficient in written and verbal communication skills in English.
  • Ability to work confidently in a rapidly changing, fast-paced and results-oriented corporate environment where a high degree of flexibility is required

 

Required Qualifications:

Years of Education

  •  MS or PhD in Electrical Engineering, Computer Science Engineering, or a related field.

Work Experience

  • Proven track record of research and publications in machine learning, signal integrity, power integrity, or related areas.
     

Preferred Qualifications:

  • Experience in applying AI/ML techniques to signal integrity and power integrity simulations.
  • Proficiency in AI programming with Python and PyTorch for pattern recognition and generation.
  • Familiarity with 3D/2.5D electromagnetic simulation software (e.g., HFSS, SIwave, Sigrity, ADS).
  • Understanding of signal integrity principles, including impedance matching, signal reflections, crosstalk, and equalization techniques.
  • Knowledge of power integrity principles, including PDN design, decoupling strategies, and power noise analysis.
  • Fluent in Mandarin.
     

Working Conditions:

  • Primarily based in an office or hybrid environment
  • Requires sitting, operating a computer keyboard, telephone and other office equipment for extended periods of time
  • Some flexibility in working hours accommodating collaborating with teams in Taiwan.
  • Approx 10% travel both domestic and international.

 

 

This position offers a unique opportunity to apply your expertise in signal integrity and power integrity, work with industry professionals, academic professionals, and contribute to the development of cutting-edge technologies at ASUS. If you are passionate about electromagnetic theory and artificial intelligence, enjoy solving complex problems, and are eager to lead and innovate, we encourage you to apply.

 

 

Our comprehensive employee benefits include bonuses, medical, dental, vision, life insurance, AD&D insurance, Paid Time Off, EAP, & 401(k).

ASUS is an equal employment opportunity employer. The Company makes employment decisions without regard to race, color, religion, sex, gender, pregnancy/ breastfeeding, medical conditions related to pregnancy or childbirth, sexual orientation, age, national origin or ancestry, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, as well as any other characteristic protected by law, regulation or local ordinance, and strives to comply with all applicable laws on the subject. These employment decisions extend to hiring, placement, promotion, transfer, demotion, layoff, termination, recruitment, pay and other forms of compensation, training and other terms and conditions of employment. 

 

 

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Applicants must be authorized to work for ANY employer in the U.S. The company will not sponsor or take over sponsorship of an employment Visa at this time.