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Information Theory/ Source Coding/ Data Compression Expert

Location: Zürich, Switzerland
Sektoren C#
Anstellungsart Festanstellung
Gehalt Negotiable
Reference: BBBH119630

Information Theory/ Source Coding/ Data Compression Expert

Experis is the global leader in professional resourcing and project-based workforce solutions. Our suite of services range from interim and permanent recruitment to managed services and consulting, enabling businesses to achieve their goals. We accelerate organisational growth by attracting, assessing and placing specialised professional talent.

On behalf of our client, a leading information and communication technology services provider in Zürich, we are looking for an Information Theory/ Source Coding/ Data Compression Expert with extensive data compression algorithm experience.

Main Responsibilities:

  • Be responsible of cutting-edge technologies and development trends in lossless data compression area
  • Research in lossless data compression
  • Drive the design and breakthrough of the lossless data compression algorithms
  • Implementation and delivery of compression algorithms
  • Build industry-leading data reduction competitiveness

Your profile:

  • MSc, PhD. Degrees or higher in Computer Science, Electric Engineer or Mathematics
  • 5 years of experience in lossless data compression domain
  • Very good knowledge and expertise in data compression algorithms, such as LZ, BWT, Huffman coding, Arithmetic coding, FSE, PPM, context mixing, etc.
  • Extensive experience in data compression algorithm in storage systems/transfer system
  • Strong programming skills in C/C++.
  • Deep knowledge of information theory, source coding theory and data compression theory
  • Strong implementing experience in open source data compression algorithm, for example LZ4, zstd, etc
  • Full proficiency in English (both oral and written)
  • EU citizenship or Swiss Permit (B or C) are absolutely required

Have we piqued your interest? Then I look forward to your CV. If you have any questions, please contact Elisabetta Gianni at +41 44 229 99 25. Even if this position is not the right fit for you, then contact me to discuss other options. I am always looking for experienced candidates and I am very happy about receiving your CV. For an overview of available IT positions, click on the link or network with me on LinkedIn.

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