Ground Segment System Engineer - Richmond, BC (Hybrid)
MDA
- Richmond, BC
- $78,000-115,500 per year
- Permanent
- Full-time
- working with both internal and external customers to understand their needs and requirements;
- transforming high level requirements into lower level feature requirements;
- performing technical engineering tasks, such as operational analyses and trade-off studies, to define system design and subsystem requirement details;
- devising solutions for creating and delivering systems and subsystem features;
- developing and generating deliverable documents such as engineering plans, requirements specifications, interface control documents, and operational concepts;
- presenting technical design proposals and reports to internal and/or external customers in clear, complete, concise and non-ambiguous terms;
- supporting work planning and cost estimates during the project’s lifecycle; and
- supporting validation and verification activities of the overall system.
- Bachelor’s degree in Computer Science, Systems Engineering or Engineering;
- Have an understanding of different types of engineering lifecycle as applicable from large complex programs to software development;
- Familiarity with modern software development methodology, tools, and software specification;
- Have familiarity with any of the following software tools:
- Matlab
- Python or other scripting languages
- MS Excel, for the purposes of engineering analyses
- AGI’s Systems Tool Kit (STK)
- Requirements Management tools such as DOORS
- MS Office
- Have excellent verbal and written communication skills and customer interaction skills;
- Be a self-starter with the ability to perform in a dynamic working environment; and
- Possess excellent problem-solving skills
- Have a team-friendly attitude and willingness to learn.
- Prior involvement in development of cloud-based applications;
- Prior involvement in remote sensing or earth observation missions;
- Understanding of different types of engineering life cycles as applicable from large complex programs to software development; and
- Familiarity with machine learning / deep learning.