Ground-to-space Digital telecoms System SEM/Architect

AI in this role

A Joint Venture between Thales (67%) and Leonardo (33%), Thales Alenia Space is a global space manufacturer delivering, for more than 40 years, high-tech solutions for telecommunications, navigation, Earth Observation, environmental management, exploration, science and orbital infrastructures. Thanks to our diversity of skills, talents and cultures, our customers (governments, institutions, space agencies, telecommunications operators), therefore have Space to Connect, Secure & Defend, Observe & Protect, Explore, Travel & Navigate.

1.1.1 Telecommunication E2E System/Ground Tools System Engineer/Architect – Job profile description

Activity in the frame of Institutional System: Italian nationality preferred.

Main Role (System Engineer – Solution):

To provide specialized engineering expertise in the frame of E2E systems and Ground Segment sub-systems and components, in terms of design and analyses, in all phases of a space project life cycle, from design specification to manufacturing, integration, verification phases, up to operations.

The role will be focused in the frame of E2E systems and processed payloads with focus on definition of Ground Tools aimed to improve E2E performance (e.g. interference detection, mission planning, signal analyses, …).

Expertize in the frame of Secure TTC systems is a valuable asset as well capability to define SW requirement and to validate SW products.

He/She perform System / Subsystem Performance Analyses with the aim to finalize breakdown to components requirements (e.g. Link Budget, BER evaluation and code correction performance, Coverage Analyses and pointing Loss, Linearity and distortions, Phase Noise and phase jitter simulation, switching stack probability, resource assignment and Mission Planning simulation, …)

Experience / Qualifications

Master’s Degree in Engineering, Physic or equivalent, with a specialization which includes telecommunication or RF electronics engineering, and a votation >105/110
On Ground System design, Mission Planning
2-4 years related work experience in RF engineering possibly in space industry environment is a valuable asset
Knowledge of payload architecture, design and manufacturing:
- RF equipment, repeater and antenna subsystem
- Link budget and capacity assessment
- Waveform, ModCod as well as TLC standard protocol knowledge (5G, DVB, …)
- Repeater RF performance measurement
- Integration and testing
- Quality control essentials
Knowledge of UHF and L Band technologies and Internet of Things architectural concepts is a valuable asset
Usage of SW design tools (STK, Satsoft, MATLAB) is a valuable asset
Experience in antenna and payload equipment procurement activities is an asset
Experience in programming languages (Java/C) and payload computer simulation (Matlab, Simulink) and design tools is an asset
Excellent English communications skills both written and oral
Willingness to learn new technologies and systems
Ability to work autonomously, effectively and cooperatively in a diverse and international team environment and to define and implement solutions in line with team and individual objectives and project deadlines
Good analytical, organizational and reporting skills, a proactive attitude to solving problems and an interest in innovative technologies
Great team working attitude
Availability to work at Customer premises in Vigna di Valle for at least 50% of yearly working days is a valuable asset

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At Thales Alenia Space we provide CAREERS and not only jobs. With Thales Alenia Space employing around 8,900 employees in 10 countries with 17 sites in Europe and a plant in the US, our mobility policy enables employees each year to develop their careers at home and abroad. Thales Alenia Space sees space as a new horizon, helping to build a better, more sustainable life on Earth #SpaceForLife. Great journeys start here, apply now!

How we score this

Ground-to-space Digital telecoms System SEM/Architect at Thales scores 32 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 1. The work itself involves no AI, or AI only appears as scenery, such as a company tagline.