Job Description

Summary:

Reality Labs (RL) is responsible for delivering Meta's vision of the next generation of wearable XR systems to enable the next great wave of human-oriented computing. We are seeking a Research Scientist Intern to work with our teams in areas of modeling and analysis of signal and power integrity, focusing on the application of artificial intelligence (AI) and machine learning (ML) techniques. This role will be responsible for developing and implementing AI-driven solutions to model, analyze, optimize, and improve signal and power integrity of complex electronic systems at board, package and die levels. Our internships are twelve (12) to twenty-four (24) weeks long and have various start dates throughout the year.

Required Skills:

Research Scientist Intern, AI Signal and Power Integrity Responsibilities:

Develop and apply AI and ML models to simulate, analyze, and predict signal and power integrity issues in electronic systems

Enable AI driven electromagnetic analysis of packages and boards to automatically extract scattering parameters to develop models for system signal and power integrity analysis

Design and implement experiments to validate AI-driven signal and power integrity analysis and optimization techniques

Develop algorithms and models to optimize signal and power integrity in high-speed digital systems

Implement and apply AI model for signal and power integrity analysis

Work with hardware design teams to integrate AI-driven signal and power integrity analysis and optimization tools into the design flow

Collaborate with cross-functional teams to identify and prioritize research areas and develop solutions

Publish research findings in top-tier conferences and journals

Stay up-to-date with the latest developments in AI, ML, and signal and power integrity research

Minimum Qualifications:

Minimum Qualifications:

Currently has, or is in the process of obtaining, a PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or relevant technical field

Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Strong background in signal and power integrity analysis and optimization

Proven experience with AI and ML techniques, such as deep learning, neural networks, and optimization algorithms

Proficiency in programming languages such as Python, C++, or MATLAB

Experience with simulation tools such as SPICE, Power SI, HFSS, or ADS

Intent to return to degree program after the completion of the internship/co-op

Preferred Qualifications:

Preferred Qualifications:

Familiarity with high-speed digital design and signal integrity analysis tools

Experience with AI frameworks such as TensorFlow, PyTorch, or Keras

Knowledge of electromagnetic theory and high-frequency circuit analysis

Experience working and communicating cross functionally in a team environment

Public Compensation:

$7,313/month to $12,134/month + benefits

Industry: Internet

Equal Opportunity:

Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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