דרושים » תעופה וימאות » GNC & Simulation Engineer

DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. As the Senior System Engineer, you will be the architectural anchor for our next-generation interceptor and tactical UAS program. You will bridge the gap between operational requirements and multidisciplinary engineering execution. This is a foundational role requiring a systems-thinking mindset to navigate strict SWaP-C constraints, manage complex subsystems interfaces, and drive the product from conceptual design through successful field integration and flight testing. Key Responsibilities System Architecture & Design: Lead the definition of the overall system architecture (interceptor, ground control station, and data links). Translate operational needs into high-level System Requirement Documents (SRD) and Subsystem Specifications. SWaP-C Budget Management: Own and track critical system-level budgets including Size, Weight, Power, and Cost (SWaP-C), balancing trade-offs between battery life, propulsion, payload, and structural limits. Interface Control (ICD): Define, document, and manage physical, electrical, and software interfaces between avionics, GNC algorithms, power management, communications, and payloads. Engineering Governance: Lead formal technical milestones and design reviews (SRR, PDR, CDR) with cross-functional teams and external stakeholders. V&V and Integration: Develop the system-level Verification and Validation (V&V) strategy. Write System Test Plans/Descriptions (STP/STD) and spearhead laboratory, Hardware-in-the-Loop (HIL), and open-air flight test campaigns. Vendor & Subcontractor Management: Define technical statements of work (SOW) and preliminary specifications for critical tier-1 suppliers (propulsion, sensors, battery technology).

We are looking for a Senior DSP Software Engineer who will lead design and implementation of our innovative signal processing algorithms on the industry cutting-edge target platform, consisting of embedded cores, DSPs, and dedicated accelerators.

What will you do:
Perform analysis, design, implementation and validation of innovative MIMO imaging radar algorithms for next generation ADAS and autonomous
vehicles on our target platform.
Participate in SW architecture design and perform signal processing algorithm porting & optimization.
Address real-time constraints in a challenging memory/compute bound framework.
Be part of a goal-oriented workgroup and dynamic research & development environment.
Work in close collaboration with CTO and SW architecture team.

We are looking for a Senior Data Scientist to join a team of passionate engineers who build premium solutions at scale. Every day, we tackle ambiguous and stimulating challenges. We build and operate large-scale distributed machine learning systems that process 1B predictions per second during real-time auctions.

What will you do?
As a Senior Data Scientist, your mission will be to:

Improve existing algorithms & tools allowing to explore and analyze more and more data and provide accurate feedback on the Teads activities.
Develop new algorithms & new approaches to provide accurate predictions and drive new products by providing business insights.
Implement your algorithms and models end to end.
Collaborate with a variety of teams to develop services from design to production.
Make sure the software is in good hands by writing, running and automating tests (unit, functional, load...).
Keep up to date with the latest Machine Learning technologies to make sure we always use the best class algorithms according to the context.
Shape how billions of people discover and enjoy premium content by improving ad relevance, quality, and efficiency across Teads global publisher network.

Were looking for an AI Algorithms Manager to lead the development of advanced algorithms in the telehealth domain, with a direct impact on how care is delivered and experienced.
In this role, youll lead a team of algorithm developers, drive algorithmic work end-to-end, from problem definition and data exploration to model development, evaluation, and integration into real-world systems. The work focuses on developing AI capabilities in computer vision, signal processing and LLM domains to tackle complex challenges and turn them into reliable, production-ready solutions.
Key Responsibilities:
Lead algorithmic development end-to-end- from shaping the technical problem and defining data needs to development, architecture, validation, and implementation
Drive innovation and infrastructure initiatives to advance the solution in alignment with the latest scientific progress
Stay hands-on in research and development, actively contributing to core algorithms and solving complex technical challenges
Design, develop, and optimize models using machine learning, computer vision, and signal processing techniques
Guide the work of team members, providing technical directions, feedback, and support
Collaborate with cross-functional teams (engineering, product, clinical) during problem definition, solution design and smooth integration into production systems
Ensure robustness and reliability through proper evaluation, validation, and continuous improvement of models
Promote best practices in development, experimentation, and code quality

We are seeking a detail-oriented and collaborative Senior ML Engineer to help support and maintain our machine learning capabilities. This role is ideal for someone who enjoys working closely with production systems, ensuring reliability, scalability, and explainability of models while enabling research teams to deliver impact faster.



Responsibilities



Collaborate with cross-functional teams to ensure ML systems remain robust, explainable, and aligned with business needs.
Monitor and report on ML model performance, reliability, and explainability metrics.
Participate in model retraining procedures, implement automation and optimization of MLOps pipelines.
Extend and scale monitoring pipelines, including support for new features in development.
Investigate, troubleshoot, and resolve issues in production ML workflows (tiered support from initial triage to root-cause analysis with model owners).
Develop and maintain repositories for feature engineering, inference monitoring pipelines, and artifact monitoring tools.
Perform exploratory data analysis (EDA) on historical datasets to identify quality issues and maintain data health.
Implement and oversee production based adjusters across customer deployments.
Evaluate and track critical ML artifacts such as explainability files, coverage metrics, and alignment of features.
Support development and maintenance of internal tools (e.g., interfaces, registries, and feature monitoring frameworks).
Build and maintain static and temporal features, including seasonality, event-based, and price-related features.

We are looking for an experienced and leadership-oriented ATE Software team leader to lead our software ATE development team. In this role, you will manage a team of software engineers, overseeing the design and execution of advanced ATE software for electronic cards and calibration systems used in our cutting-edge AESA radar technology The ideal candidate will combine strong software management skills with a deep understanding of RF systems and hardware-software integration. Key Responsibilities:
* Lead, mentor, and manage a team of ATE software engineers.
* Lead the design and development of automated TEST software for electronic cards and radar calibration.
* Oversee the full software development lifecycle, from requirements definition to deployment on the production line.
* Collaborate closely with Hardware, system, and RF engineers to ensure seamless integration of software with complex testing equipment.
* Drive technical excellence, code quality, and the implementation of best practices within the team.
* Manage project timelines, milestones, and resource allocation to meet delivery goals.

The position is based in Netanya, with occasional travel required to the production facility in Beit She'an.

We are looking for a talented and ambitious Senior Software Engineer!
The team is responsible for the Research and Development of multiple SaaS products (CRM, Commerce, Data Automation) in a highly innovative, technical, and empowering work environment.
Our products are in use by millions of users worldwide, delivering smart and intuitive experiences that put the user at the center.
We are looking for a Senior Software Engineer to join our R&D team and to take part in the development process from system architecture & design to development.
Whats In It For You:
A unique opportunity to join a successful SaaS company with great clients and partners.
You will get to strategize, define and manage all technical aspects of the company.
A chance to build & influence on products that already in use by to millions of users worldwide.
A chance to work in an environment that encourages innovation and entrepreneurship.

We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

WHAT YOU WILL DO

- Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.

- Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.

- Stay hands-on: contribute to design and code, review work, and set engineering standards.

- Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.

- Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.

- Help evolve the platform, including our ongoing migration from Dask to Ray.

Experienced Backend Team Leader? It's time for your next challenge.
Our mission is to create the ultimate CRM Suite for our clients to manage, sell, automate, track & grow their customer database and sales.
Were responsible for crafting innovative, smart & flexible SaaS systems that help companies to scale and grow in challenging environments.
Our solutions are implemented worldwide, in more than 15 countries, delivering outstanding digital experiences for millions of people.
As we continue to grow, were looking for a passionate, fun to work with, Backend Team Leader to join our team and build great products with us.
Responsibilities:
Lead a team of backend developers including hands-on involvement
Responsible for tasks analysis, design, timelines and quality
Work closely with the company CTO and Product Managers
Work closely with other development and QA teams and groups
Responsible for the code standard and code quality of the team
Responsible to enforce the development processes of the team
Report risks or any delays in advance
Committed to team tasks
Support team members

We are seeking an MLOps Engineer to help us grow our technical team's capabilities. The ideal candidate has relevant experience in data engineering, preferably within the AI field. Aviation industry experience would be a great addition.

You will be responsible for building and maintaining models and data pipelines that power our data science workflows. You'll play a crucial role in ensuring the accuracy, consistency, and efficiency of the data we use for model training and inference. This involves working with both structured and unstructured data from various sources, leveraging your expertise in data engineering and machine learning to create a robust and scalable system.