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Our Sat Connect IC business unit, a division of our Satellite Systems business is a leading provider of ASICs, software, multibeam electronically steered antennas, and complete systems for communication satellites, as well as ground and airborne terminals. Located in Israel, the UK, Bulgaria, and the US, we are a techno logy leader in satellite communication.
System Validation Engineer - Satellite Ground Station
This is an opportunity to embark on an interesting and challenging adventure into the world of satellite communication which is undergoing a major disruptive revolution.
The LS includes Control and data processing HW, SW as well as Phy and Radio HW and FW, to construct a full communication system supporting DVB-S2X as well as other Radio and IP communication protocols.
Responsibilities
Landing station system validation activity including Phy, HW and SW validation
Study system architecture and system requirements and take part in a test plan to address these requirements in collaboration with system engineering and other teams
Define and write automatic test plans and test procedures for new systems and features
Build test setups for fully automated regression as well as for manual tests
Take active part, hands-on in team execution: integration and feature/product enabling, bring up and debug activities, regression automation test of satellite systems
Record, investigate and analyze defects
Investigation of root cause of test case failures and providing corrective action in conjunction with development teams
Support Test Management tools and continuous integration methodologies
Data analysis and post processing of data collected
Compilation of regular Test execution summary report with metrics.

This role sits at the intersection of sales, product, and data science.

As a Sales Engineer your role will be:

Join sales calls and product demonstrations to explain the platforms methodology and analytical approach to help overcome technical objections
Answer technical and methodological questions from prospects during the sales process.
Help prospects understand how differs from traditional attribution, MMM, or experimentation approaches.
Support the sales team in moving deals forward by building trust in the platforms measurement framework.
Deliver clear and engaging product demonstrations tailored to different audiences (CMOs, growth teams, data scientists, analysts).
Translate complex modeling concepts into intuitive explanations that marketers can understand.
Customize demo narratives based on the prospects marketing stack and challenges.
Support proof-of-concept discussions and pilot programs
Explain the underlying modeling logic and how the system measures incrementality.
Walk prospects through validation methods, case studies, and experimental comparisons used by customers.
Help prospects interpret platform outputs and understand how to operationalize insights.
Work closely with product and data science teams to stay current on platform capabilities.

MDA is part of a world leading project of a cutting-edge Low Earth Orbit (LEO) satellite constellation. As part of this collaboration, We are creating a state-of-the-art landing station/feeder link product to connect the satellite network with the internet cloud.
We are seeking an experienced Senior BSP (Board Support Package) Engineer to join our dynamic engineering team. The ideal candidate will have a strong background in embedded systems, firmware development, hardware-software integration, and system bring-up. You will play a critical role in developing and maintaining BSPs for our cutting-edge satellite communication products.
If you're passionate about pushing the boundaries of satellite technology and global connectivity, this is your opportunity to shape the future of space communications.
Key Responsibilities:
BSP Development: Design, develop, and maintain Board Support Packages for ARM based Linux real-time operating systems
System Bring-Up: Lead the commissioning of new hardware platforms, ensuring all components function correctly
Hardware Integration: Collaborate closely with hardware engineers to initialise new boards and validate hardware functionality
Linux Kernel Driver Development: Develop and optimise in‑kernel device drivers and subsystems for high‑speed interfaces such as PCIe, Ethernet, SPI, I²C, UART, DMA and RF front‑ends
Driver Development: Develop and optimise Linux kernel level device drivers for various peripherals and interfaces (e.g., SPI, I2C, UART, PCIe)
Bootloader Customisation: Customise and enhance bootloaders for system initialisation.

Were looking for an experienced Full Stack developer who is up to date with the newest technologies, loves to code and create custom web - applications from scratch.

We are a fast-growing technological innovation company that is looking for talented and motivated individuals to join our experienced team creating environment focused solutions.

What you will be doing:

Implementing new business features.

Ensure product reliability, scalability, and security.

Optimizing existing and new logic to be sure that we can handle our rapidly growing user base.

Designing & re-designing DB structure to support new features and handle more load.

Analyzing the root cause of issues reported by the support team and implementing solutions.

Coming up with ideas for internal tools that could improve our day to day.

As a Senior Software Engineer your role will be to:

Play a key role in the design and architecture of cutting-edge, innovative data systems.
Develop and maintain a multi-tenant environment for our advanced measurement solutions.
Build and manage cloud-based, distributed computing environments to support scalable, high-performance operations.
Design and implement robust ETL workflows, integrating multiple data sources for cleaning, transformation, aggregation, and querying.
Troubleshoot and resolve complex issues related to data integration, storage, and retrieval.
Architect and build big data solutions capable of managing and automating the processing of tens of terabytes.
Optimize database performance and streamline query execution in large-scale environments.
Collaborate closely with Data Scientists to align technical solutions with data-driven objectives.

Were looking for an experienced QA, with a can-do and hands-on approach.

We are a fast-growing technological innovation company that is looking for talented and motivated individuals to join our experienced team creating environment focused solutions.

What you will be doing:

Review both business and technical requirements for SaaS applications to ensure that they are clear, complete, and testable.

Be responsible for creating/updating STD for new and existing software applications.

Test advanced Airline processes embedded within our B2B SaaS application.

Ensure that our data pipelines are working properly with the highest level of data quality.

Ensure that standards for development and quality are defined and tracked accordingly.

Cover all types of testing needed to ensure a high-quality application, including (but not limited to): feature/functionality, deployment, configuration, performance, integration, and usability.

Track coverage, progress, and result of testing in software application lifecycle management tools.

Tracking quality of application (readiness for release) by working directly with the development team to ensure that issues are found/fixed in an expedited manner.

Monitor software quality issues that are detected after release, triage issues, and work with the development team to expedite fixes.

Our tech stack includes: React + Redux, Node.js, MongoDB.

As a Senior Software Engineer your role will be to:

Play a key role in the design and architecture of cutting-edge, innovative data systems.
Develop and maintain a multi-tenant environment for our advanced measurement solutions.
Build and manage cloud-based, distributed computing environments to support scalable, high-performance operations.
Design and implement robust ETL workflows, integrating multiple data sources for cleaning, transformation, aggregation, and querying.
Troubleshoot and resolve complex issues related to data integration, storage, and retrieval.
Architect and build big data solutions capable of managing and automating the processing of tens of terabytes.
Optimize database performance and streamline query execution in large-scale environments.
Collaborate closely with Data Scientists to align technical solutions with data-driven objectives.