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發表於 2014-12-11 11:27:02 | 只看該作者
Algorithm Development Engineer. V# _$ O& l: F4 k6 k: A( x/ f
公      司:A design company& v. z# H$ H, t( W. ^  t% w' P
工作地点:上海- |3 W; k# ~6 v6 Y9 X  t7 D5 R
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Responsibilities:  2 B% r: G2 G$ n
1. Research and develop still/motion image processing algorithms relating to auto exposure control, bad pixel correction, color interpolation, white balance, noise reduction, image enhancement, and/or pattern recognition 7 w; {5 U8 \; R$ K8 T% s
2. Perform system modeling of camera pipeline components, including imagers and digital image processing modules. / n% d9 u2 O% t# U& }
3. Perform signal analysis to evaluate quality of image processing algorithms and systems. Perform analysis and characterization of imaging sensors.
6 `. H: {+ s6 V7 Z5 E4. Algorithm optimization in Mathematics or Hardware.  9 Q( }) l+ i7 i7 l
5. Work with hardware engineers to conduct hardware implementation solutions to embed the algorithms into chips;Help hardware engineers to check bugs and verify the implementation. : f6 Q' a) E* J4 a9 @
6. Define product tuning tools and documentation for customers, as well as training for applications team
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$ y+ E6 O/ r2 k( i3 URequirements:  , x! X+ U; D$ @4 Z: a7 B  }3 N
1. Master''s degree in EE/CS/Optical Engineering or other related field0-3 years of experience  # n2 }* K! m* p' `0 p6 q8 G8 N8 ^
2. Experience in image processing algorithms with background in advanced filtering, color reproduction, automated threshold selection, pattern recognition, statistical analysis, etc.
$ w4 ~. X5 @" V. x2 \" c2 f& r- R1 ~0 M3. Proficiency in C, C++ and / or Matlab coding to design and run simulations for complex image pipeline  * M  c( A% Q+ c
4. Background in image processing in related industries, such as digital still camera or surveillance camera is a plus 6 I9 {4 F) I. ]. u2 s6 |* Z
5. Knowledge of hardware realization of the algorithms is a big plus  
7 g- z7 X0 p6 W7 }% s) v9 J0 t% Z6. Team player with good communication and presentation skills.  5 w- ~+ f1 c- W" F; e3 o6 m
7. Well organized, methodical, and detail oriented.
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