Please direct your responses to: careers@magnumsemi.com
Magnum Semiconductor Inc. is currently looking for highly qualified Image/Video Processing and Compression Algorithm Engineer based in our Milpitas, California headquarters.
The successful candidates will be working as a part of a team on the development of next generation video coding technologies and standards, such as the new High Efficiency Video Codec (HEVC) and its extensions. They will also be responsible for the development of new video processing and codec algorithms for embedded applications on Magnum's industry-leading next generation professional encoder/transcoder platform. This may involve development of initial implementations to identify technical hurdles of, prove feasibility, and characterize new technologies through application of specialized technical knowledge. You will also be involved in pre-silicon modeling and architecture. The group interacts daily with Software, VLSI and Systems teams on a variety of topics including architecture, modeling, and various levels of debugging/verification. You will be responsible for performing independent research and may have ownership of specific design areas. You will also work to build familiarity with technology advancements in relevant scientific, commercial, and academic circles, and may be assigned to represent well established company technical interests in industry conferences and/or standards committees.
Job Functions:
• Designs and develops algorithms for next generation video coding technologies and standards.
• Develops new video processing and video codec technologies for embedded applications.
• Works with a general understanding of competing technologies in the area of focus.
• Participates in the process of creating detailed product requirements from high level objectives.
• Works to understand the context in which new technologies will be used and the requirements that the technology must fulfill for success.
• Creates early-stage conceptual models that demonstrate feasibility.
• Creates applications level software and/or embedded signal processing software and/or prototype hardware or related firmware that are efficient, modular, well documented, bug free and understandable by others skilled in the art.
• Builds relationships with peers and other teams to achieve objectives, maintains objectivity, and gives and welcomes feedback on design/implementation decisions.
• May organize and/or deliver internal and external technology presentations and feasibility/proof of performance demonstrations.
• May represent company technology interests in industry associations or standards bodies based on guidance from more senior staff or management.
Desired Skills & Experience:
• PhD Degree in Electrical or Computer Engineering or Mathmatics (or equivalent) and 8+ years related experience.
• Thorough background in digital image processing theory, including spatial and temporal representations, image/video coding technologies and standards, 3D video understanding, color theory, and digital filter design.
• Experience with and understanding of the H.264, MPEG-4AVC standard and its SVC and MVC extensions, as well as of the upcoming HEVC video coding standard and its extensions.
• Extensive experiences on video quality optimization of digital video compression systems.
• Has a track record of successful research accomplishments, published papers, and/or patent applications.
• Has demonstrated proficiency in C and/or C++programming.
• Must have a methodical, detailed, and results-oriented approach to problem solving.
• Must demonstrate good interpersonal and written communication skills, and operate with a collaborative, team-oriented work ethic.
Considered a plus:
• Signal processing, including audio/video processing.
• Experience with advanced pre- and post-processing algorithms for image and/or video applications.
• Understanding of advanced display technologies and related processing.
• Knowledge of applied mathematics and numerical techniques.
• Proficiency in Matlab and/or similar numerical computing environments/tools.
• SIMD and code optimization.
• Direct work experience within the broadcast industry.
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