Facebook Optimization Engineer in Topeka, Kansas
Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities - we're just getting started.
We are looking for a hardware Optimization Engineer to work in Area 404 and support the organizations and teams that they support. The Area 404 Lab exists to accelerate hardware development at Facebook. This work spans Foundation Infrastructure hardware, ARVR hardware, and Connectivity hardware (majority focus is on Foundation Infrastructure). We move fast and are looking for a person who is driven to find the fastest, most efficient ways to solve complex problems related to prototyping logistics. This position is a full-time role.
Work closely with different teams within the Hardware Engineering organization to implement multidisciplinary design optimization (MDO) methodology on various projects.
Analysis, Simulation, Experimentation - Use rigorous techniques to understand the problems that need to be solved and characterize the systems components involved in solving them.
Work with members of various engineering teams and external vendors (e.g. mechanical, thermal, networking, data center infrastructure etc.) to develop and add new simulation models.
First Principles Thinking - Identify and formulate simple and only sufficiently representative models using first order effects to most efficiently answer questions.
Run computationally intensive simulations on high performance computing (HPC) platforms.
Effectively communicate results and design recommendations to diverse audiences.
Bachelor’s degree in Mechanical Engineering, Aerospace Engineering, Computer Science, Electrical Engineering or mathematics.
A proven applied or academic research track record in applying multidisciplinary design optimization (MDO) methodology to a large complex engineering system.
Demonstrated experience of fundamentals across disciplines (e.g. optimization, FE modeling, structures, thermal/fluids, electrical, statistical analysis, uncertainty quantification, machine learning).
Solid understanding of basic optimization algorithms and application to engineering problems.
Experience with optimization and machine learning tools applied in engineering (e.g. Python SciPy Optimize, Scikit-Learn, OpenMDAO, MATLAB Optimization toolbox).
Experience working with core FE simulation tools (e.g. Ansys, Fluent, Icepack, Flotherm etc.).
A PhD or Master’s in Mechanical Engineering, Aerospace Engineering, Electrical Engineering, Computer Science, or Mathematics.
5+ years of industrial or academic experience.
Experience solving large-scale multidisciplinary optimization problems.
Advanced proficiency in Python.
Equal Opportunity: Facebook is proud to be an Equal 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. Facebook 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 email@example.com.