דרושים » תוכנה » Senior SW Engineer and Linux Kernel + Virtualization Expert

We are looking for a highly skilled and experienced Principal Software Engineer to join our innovative team.
This role is critical for developing the software components that drive our state-of-the-art satellite communication and processing systems.
The ideal candidate will have a strong background in software development for embedded systems and experience in digital communication and IP routing.
As a Principal Software Engineer, you will lead the design, development, and implementation of advanced software solutions, collaborating with our multidisciplinary team to ensure the deployment of cutting-edge, reliable, and efficient spaceflight systems.
What you will be doing​:
Lead the design, development, and optimization of software for satellite communication and signal processing systems.
Define software architecture and system design to meet project requirements and performance standards.
Collaborate with system engineers and other team members to integrate software components with hardware and communication systems.
Perform code reviews, provide technical guidance, and mentor junior software engineers.
Conduct comprehensive testing, validation, and verification of software to ensure high reliability and performance in space environments.
Troubleshoot and resolve complex software issues in development and deployed systems.
Maintain thorough documentation of software design, development processes, and test results.
Stay up-to-date with the latest industry trends, technologies, and best practices in software development for space applications.

We are looking for a Senior Algorithm Engineer to join our team in Israel and help build the next generation of AI-driven financial crime detection.
In this role, you will work at the intersection of software engineering, algorithms, and large-scale data processing, building scalable production systems that power mission-critical financial crime detection solutions. You will design efficient architectures, develop high-quality code, and turn data-driven and machine learning models into robust real-world applications.
Technology: Python, PySpark, Apache Spark, NumPy, scikit-learn, TensorFlow / PyTorch, ETL pipelines, distributed systems, large-scale data processing
What youll work on:
Designing and developing scalable data processing pipelines and backend systems
Writing efficient, high-quality, and maintainable code in Python and PySpark
Optimizing large-scale data workflows and distributed computing processes
Implementing and integrating machine learning solutions into production systems
Translating analytical and algorithmic models into scalable applications
Improving the performance, reliability, and scalability of data and ML pipelines
Collaborating with data scientists, analysts, engineers, and R&D teams to bring solutions into production
Conducting code reviews and promoting software engineering best practices.

We are looking for a Senior Software Developer to join our team in Israel and help build the next generation of AI-driven financial crime detection.
In this role, you will work at the intersection of software engineering, algorithms, and large-scale data processing, building scalable production systems that power mission-critical financial crime detection solutions. You will design efficient architectures, develop high-quality code, and turn data-driven and machine learning models into robust real-world applications.
Technology: Python, PySpark, Apache Spark, NumPy, scikit-learn, TensorFlow / PyTorch, ETL pipelines, distributed systems, large-scale data processing
What youll work on:
Designing and developing scalable data processing pipelines and backend systems
Writing efficient, high-quality, and maintainable code in Python and PySpark
Optimizing large-scale data workflows and distributed computing processes
Implementing and integrating machine learning solutions into production systems
Translating analytical and algorithmic models into scalable applications
Improving the performance, reliability, and scalability of data and ML pipelines
Collaborating with data scientists, analysts, engineers, and R&D teams to bring solutions into production
Conducting code reviews and promoting software engineering best practices.