Mid Snr Execution Framework Engineer

• Implement and verify Data processing system and Astronomy software packages.
• Contribute to systems engineering and Operations documentation refinement
• Support users, operators, as well as the implementation of releases, system changes and fixes.
• Be an integral member of the Computing and Software team, as a senior technical specialist that supports the establishment of data processing operations.
• Participate in project management and activity management activities.
• Attend relevant training/courses to gain experience and improved knowledge.
• Research new technologies, methods, or approaches, with the purpose of utilizing them within the organization.
• Participate in innovation and technology development initiatives.
• Mentor and educate more junior engineers as and when required.

• Degree/ Masters/ PHD in Computer Science, Computer Engineering, Astronomy or Astronomy techniques, Physics, or related fields

• Degree coupled 9 years, relevant working experience, or Masters’ Degree coupled with 7 years relevant working experience or PHD coupled with 5 years relevant working experience in software engineering, high performance algorithms development.
• Experience with distributed data-intensive processing and algorithm development, ideally both from a design and application perspective.
• Expertise in hybrid software development in Python and C/C++ programming languages.
• Knowledge:
• Experience with profiling and optimisation techniques, especially how to build high performance pipelines overlapping I/O and processing.
• Experience with physical data modelling, both for efficient in-memory & network data exchange as well as storage (e.g. Apache Arrow, HDF5 or equivalent)
• Understanding of data processing algorithms, such as Fourier transformations, gridding and (de)convolution methods. Knowledge of radio astronomy data processing pipelines and their scaling properties would be advantageous.
• Common radio astronomy instrumentation: spectrometers, correlators, beamformers and pulsar timing machines and transient search machines.
• Systems Engineering processes.

• Design, implementation and verification of high-speed digital computer and electronics hardware and systems.
• System Engineering life cycle processes, including documentation, requirement analysis, architecture design, implementation, integration, and acquisition.
• Parallel implementations of Data Processing components, pipelines, and astronomy algorithms
• Comprehension of MPI, DASK and other High Performance Computing frameworks and interfaces
• Linux operating system and standard tools.

• Passion for Excellence
• World-class service
• People-centered
• Respect
• Integrity and Ethics 
• Accountability 

While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.