Optimization Engineer Job Listing at Philips North America in San Jose, CA

Philips Lumileds Lighting Company is the world's leading manufacturer of high-power LEDs and a pioneer in the use of solid-state lighting solutions for everyday purposes including automotive lighting, computer displays, LCD televisions, signage and signaling and general lighting. The company's patented LUXEON® Power Light Sources are the first to combine the brightness of conventional lighting with the small footprint, long life and other advantages of LEDs. The company also supplies core LED material and LED packaging, manufacturing billions of LEDs annually, and ranks as the producer of the world's brightest red, amber, blue, green and white LEDs.

We are currently seeking a Product Engineer with an optimization background located in our Silicon Valley (San Jose, CA) headquarters.

As an Optimization Product Engineer you will be responsible for optimization/mathematical needs during the entire product creation phase that includes prototype, verification, manufacturing implementation and release. Each product is made of a combination of LEDs that are designed for specific applications such as automotive lighting, computer displays etc.

Specific responsibilities include but not limited to:

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  Integrated modeling of entire supply chain to identify opportunities for improvements, device solution methods for manufacturing use and implementation in manufacturing floor.


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  Formulating and implementing optimization modules to optimize supply chain.


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  Analyze demand and supply distributions to identify new product opportunities and work closely with Marketing on customer requests.


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  Work with Worldwide teams (Asia-Europe-US) to create optimum solutions from design phase to production floor. 

Desired qualifications:

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  MS/PhD in Statistics/Mathematics/Operations Research or related field.


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  Programming experience in Matlab/C++/C# .Net or other object oriented language.


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  Experience in semiconductor supply chain/ manufacturing environment preferred.


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  Familiarity with optimization packages such as Tomlab, Cplex etc.


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  Experience in data mining and statistical analysis.


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  Good Excel modeling skills.


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  Excellent communication skills. Ability to work with cross-functional teams.

Philips is an equal opportunity employer.