PamiTC Job Board - Posting Details

Title: Staff Applied Research Engineer - 29975Posted: June 12, 2017
Company/Institution: Sony Electronics
Location: San Jose, Ca.
Department: US Research Center

Description:

Position Title: Staff Applied Research Engineer
Number of Positions: 1
Job Location: San Jose, California

Description:

As a part of Sony Electronics' engineering team you can ensure that what we produce is just as extraordinary as the ideas that inspire us. While we run on fearless creativity and innovation, our engineers make certain that everything we do is of the highest quality. Every day, they work with advanced technologies, including some that most people never even thought possible. Some may call it magic; we call it a commitment to innovation, quality, and style and design.

Sony's U.S. Research Center currently has an opening for Senior Applied Research Engineer in our San Jose, California location. This position is responsible for researching and developing algorithms and architectures for integration into advanced services and products.

Responsibilities:

  • Investigate and utilize complex engineering and mathematical principles to develop core technologies.

  • Contribute to research projects that develop a variety of algorithms and systems in computer vision, image and video analysis.

  • Assessment and improvement of algorithm performance on a variety of platforms.

  • Analyze and determine system standards and test procedures.

  • Evaluation of identifiable factors and demonstrate good judgment in selecting methods and techniques for obtaining solutions.

  • Advance the state-of-the-art in the field, including generating patents.

  • Fast prototyping, feasibility studies, specification and implementation of image and video analysis product components.

  • Working with researchers in global locations to understand algorithm requirements and deliver high-quality solutions.

  • Propose new methods and direction of research by communicating effectively with counterpart and related groups

Qualifications:

  • PhD Degree in Electrical Engineering and/or Computer Engineering or Computer Science is required

  • Minimum of 5 years of industrial level research experiences in Computer Vision, Machine Learning and Image Understanding are required

  • Strong knowledge in Deep Learning, especially in field of Computer Vision is required

  • Strong theoretical and practical background in Computer Vision, Image and Video analysis, specifically Object Detection, Tracking, Semantic Segmentation, Optical Flow and Stereo Vision, Statistical Evaluation, Optimization, Generative Models and Probabilistic Graphical Models are strong plus

  • Proven ability to develop new research ideas as demonstrated by a strong publication record and early developments to the level of a working system prototype is a strong plus

  • Excellent programming skills in C/C++ and Python or Matlab is a strong plus

  • Solid knowledge on Deep Learning frameworks such as Caffe, Torch, TensorFlow, MXNet is a strong plus

  • Must be self-motivated and creative, with proven analytical skills, excellent research record, and ability to communicate effectively

  • Flexibility and adaptability to work and collaborate among researcher in global locations and ability to propose new methods and direction of research is required

  • Must be able to travel domestically and internationally if required

    Sony Electronics is an Equal Opportunity/Affirmative Action Employer committed to diversity in our workforce. It is our policy to attract and retain the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, age, disability or status as a Special Disabled Veteran, Vietnam Era Veteran or other qualifying veteran.

    Diverse employees/candidates are encouraged to respond. Sony Electronics Inc. is committed to developing and maintaining a workplace that reflects the diversity of the communities we serve. M/F/D/V


Application Instructions:

Please apply below:

https://sony.taleo.net/careersection/jobdetail.ftl?job=29975&lang=en#.WT7yyB3wC10.mailto