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We seek a FinOps Engineer to join our DevOps & Cloud Group, focusing on optimizing cloud costs, driving financial accountability, and leveraging automation for efficient cloud resource management.

What am I going to do?:

* Analyze, monitor, and report on cloud usage and expenditures, identifying cost-saving opportunities, improving efficiency, and leading the development and maturation of the FinOps framework.
* Collaborate with engineering and operations teams to develop and implement cloud cost optimization strategies, ensuring alignment between technical activities and financial objectives.
*  Implement and maintain financial governance and controls across cloud platforms, utilizing automation for cost trend optimization, anomaly detection, and accurate forecasting.
* Work closely with procurement and vendors to manage cloud costs, ensuring effective negotiation and alignment with organizational financial goals.
* Educate and train teams on FinOps best practices, promoting financial accountability and fostering collaboration across departments.
* Lead change management initiatives within cloud or IT transformations, guiding teams and influencing best practices in cloud financial management.

This is a meaningful and security-oriented role contributing to homeland defense, located at the companys headquarters in Or Yehuda.

Role Description:
Develop and implement data fusion algorithms from various sensors (Track-level / Sensor-level Fusion).
Process sensor data, including noise filtering and time synchronization.
Apply and enhance advanced filters such as the Kalman filter.
Build and evaluate statistical models for different sensors across various coordinate systems (WGS-84, UTM, ECEF, etc.).
Develop error bias calculation algorithms for active and passive sensors (radars, SIGINT).
Integrate and implement algorithms in Real-time / Near Real-time systems.
Participate in lab and field experiments, conduct performance analysis, and produce reports.

Join our R&D team as a Senior DevOps Engineer. Define and create operations tools and processes for a massively scalable system, backing 10,000s of the worlds busiest websites and apps, which will hopefully grow to become the media backbone for the whole Internet.
We offer a fun and supportive environment in which you will constantly learn and evolve, and where your ideas will be embraced and pursued.
Responsibilities:
Manage live production environments
Handle ongoing monitoring and troubleshoot failures
Provide architectural solutions for complex data and processing requirements involving large-scale systems and rapid growth
Manage live environment from server infrastructure all the way to applicative image management layers
Implement system monitoring procedures
Design & implement our systems network topology
Design, implement & develop various solutions according to R&D/Production needs
Work closely with R&D teams to enable delivering features to production
Be part of a 24/7 production support on-call rotation.

we are the world leader in automotive and driving assistance systems, developing the world's most advanced software technologies and hardware architectures. Our group is located in Haifa and is responsible for enabling the deep learning and computer vision algorithms on the company platform. The technology we develop enables state-of-the-art deep neural networks to run efficiently in vehicles contributing to saving lives and enabling autonomous vehicles. This is an exciting opportunity to work with highly talented engineers and be a part of a product with a lot of innovation and work on cutting-edge compiler and optimization technologies in the AI domain.
What will your job look like:
Shape our companys product by applying cutting-edge deep learning network optimization techniques and will have the chance to influence future generations of our company hardware and software
Develop optimized implementations of a variety of neural-network operations and new optimization techniques and algorithms to efficiently map ML models to our company HW and efficiency mimic the execution of the nets on the CPU
Develop software products that include design methodology and code quality techniques.
Work on open source projects such as LLVM, MLIR.

we are looking for a senior DSP Algorithms Optimization Software Engineer to join the development of the next phase of a Software Defined Radar. Involves embedded code, ultra high speed real-time host application, and signal processing. You will be part of a winning team in a fast-paced startup-like environment, working on many different components of the entire system. You will have an opportunity to make an impact on the design and implementation of innovative technology in its early stages.
What will your job look like?
Design, build and optimize modules that compute very complex algorithms in real-time on embedded/DSP environment, with memory and bandwidth constraints
Work closely with algorithms teams to produce algorithms that better map to DSP environment.
Design, build and test a real-time application that manages and orchestrates several DSPs that run compute modules.
Plan memory arrangement, data transfers and pipelining of computation, to maximize DSP utilization.

Our ideal candidate is passionate about crafting a new product to serve thousands of enterprise customers by using innovative technology and striving for the best quality and throughput.

As part of this role, you will:

Architect, design, implement, test, and deliver highly scalable products.

Master our development process, culture, and code base, then improve it.

Operate effectively in the hybrid engineering model where engineers are expected to be able to design and implement the necessary work to ensure quality in their own code as well as other engineers.

Mentor others in development technologies, tools, and processes

Present your own designs to internal/external groups and review the designs of others

Develop test strategies, design automation frameworks, write unit/functional tests to drive up code coverage and automation metrics


JR315373

we are looking for a skilled and motivated SW Quality and Test Architect for the Platform OS Department. The Platform OS team of our company is leading a global effort of making the Linux OS as the Automotive Safety OS that will fuel the Autonomous Vehicle and the whole automotive industry. As the technical lead and architect for Quality and Test aspects of the OS teams, you will be contributing to the overall qualification effort of our company while collaborating with OS development teams and architects
What will your job look like:
Work with the system and SW architecture teams closely.
Review and analyze all functional SW requirements from OS features and write the relevant testing and quality requirements for development teams.
Define the key performance indicators and the methodology of measuring and tracking them.
High level design of test scenarios.
Review test design and implementation with development teams.
Define functional requirements from the CI/DevOps teams to satisfy the OS quality needs.
Track the integration between the CI and OS tests.
Manage quality indicators like code quality and coverage indicators.
Mentor OS teams for quality programing and proper testing.
Track and analyze bug escapes on a continuous basis to improve testing coverage and overall quality.
Daily tracking of test coverage, resource utilization and testing time.

You will be part of our copmpany's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our copmpany's autonomous driving and high-end Driving Assistance systems. This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities. You will be part of our algorithmic teams, being a key team member and owner of development processes.
What will your job look like?
Write clean, modular, and maintainable code in Python to implement algorithms efficiently.
Design and optimize data structures to support algorithmic solutions, ensuring scalability and performance.
Work closely with cross-functional teams.
Write efficient, reliable, and maintainable code to implement algorithms, ensuring high performance and scalability. Debug and troubleshoot software issues as needed.
Contribute to the design and architecture of software systems, ensuring that algorithmic components integrate seamlessly.
Analyze and optimize algorithms for speed, memory usage, and efficiency. Implement parallel processing and optimization techniques to enhance algorithm performance.

You will be part of our company's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our company's autonomous driving and high-end Driving Assistance systems. This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities. You will be part of our algorithmic teams, being a key team member and owner of development processes.
What will your job look like?
Write clean, modular, and maintainable code in Python to implement algorithms efficiently.
Design and optimize data structures to support algorithmic solutions, ensuring scalability and performance.
Work closely with cross-functional teams.
Write efficient, reliable, and maintainable code to implement algorithms, ensuring high performance and scalability. Debug and troubleshoot software issues as needed.
Contribute to the design and architecture of software systems, ensuring that algorithmic components integrate seamlessly.
Analyze and optimize algorithms for speed, memory usage, and efficiency. Implement parallel processing and optimization techniques to enhance algorithm performance.

We are looking for a deep learning algorithm developer to join our growing team under our companys Algorithms Group. The team is building an innovative multimodal learning framework aimed at improving autonomous driving performance by understanding long-tail cases and providing actionable navigation insights. Were combining state-of-the-art vision-language models to revolutionize how we train, validate, and scale our autonomous systems. If youre passionate about deep learning and engineering high-impact autonomous solutions - this is the place for you.
What will your job look like:
Contribute to dataset curation activities - collecting, cleaning, labeling, and preparing multimodal data for training and validation.
Train and fine-tune LLMs, VLMs, and VLA models to interpret visual scenes and produce actionable navigation insights supporting autonomous vehicle decision-making.
Support validation of multimodal models - evaluating vision-language-action behavior and helping identify performance gaps across driving scenarios.
Collaborate closely with AV planners, perception teams, and infrastructure engineers to ensure seamless deployment in a real-time ecosystem.
Youll have the opportunity to influence the strategic direction of language-driven autonomy - proposing new ideas, shaping model capabilities, and driving innovation from research to real-world deployment.

We are seeking an experienced DevOps Engineer to join our team. The ideal candidate has strong DevOps expertise, hands-on experience with CI/CD pipelines, and can contribute to system design and process improvement. Key Responsibilities:
* Manage development, testing, and release environments
* Maintain version control processes (Git) and artifact management (Artifactory)
* Build and maintain CI/CD pipelines with Jenkins or similar tools
* Implement automated testing (unit, sanity, GUI)
* Apply code analysis tools for Quality Assurance
* Support containerized environments and orchestration (Docker, Kubernetes, Swarm)
* Ensure system reliability and scalability, including microservices and database components

DRS RADA is a global pioneer of RADAR systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. We are seeking an experienced and hands-on Software Team Leader to lead the design and development of a next-generation Air Defense Command & Control System . This role requires deep technical expertise in real-time distributed systems, modern software practices, and a strong leadership presence to guide a multidisciplinary software team from architecture through delivery. Key Responsibilities Lead system design of a modular, real-time, geospatial C2 system involving track fusion, multi-sensor integration, and operator interfaces.
* Own and manage the software development lifecycle: requirements breakdown, architecture definition, sprint planning, code reviews, testing, and deployment.
* Coordinate efforts across frontend (React/Cesium) backend (C++/DDS) , and integration/QA teams.
* Serve as the technical authority and primary point of contact for internal stakeholders, system engineers, and business managers.
* Define and enforce software architecture principles , quality standards, and system performance goals (e.g., latency, determinism, fault tolerance).
* Guide the implementation of networking, real-time messaging data recording , and security mechanisms
* Provide technical mentorship , code guidance, and career development for team members.
* Ensure compliance with military standards , security requirements (e.g., NIST, STIG).
* Contribute to planning, risk analysis, effort estimation, and interface documentation.

We are looking for an experienced MCP (Model Context Protocol) Software Engineer to design, develop, and optimize Model Context Protocol implementations.

You'll work on building robust MCP servers, client integrations, and tools that allow AI systems to securely access and interact with various data sources and services.

Key Responsibilities:

MCP Development & Implementation:
Design and develop MCP servers for various data sources (databases, APIs, file systems, cloud services)
Build and maintain MCP client integrations for AI applications and platforms
Implement secure authentication and authorization mechanisms for MCP connections
Develop custom MCP tools and resources to extend AI capabilities

Architecture & Design:
Architect scalable MCP solutions that handle high-volume data access patterns.
Design efficient protocol implementations that minimize latency and maximize throughput.
Create reusable MCP components and libraries for internal and external use.
Establish best practices for MCP server development and deployment.

Integration & Collaboration:
Integrate to our identity platform.
Work with DevOps teams to deploy and monitor MCP services in production environments.
Partner with security teams to ensure MCP implementations meet. compliance and security requirements.
Integrate MCP solutions with existing infrastructure and third-party services.

Quality & Performance:
Write comprehensive tests for MCP implementations including unit, integration, and end-to-end tests.
Monitor and optimize MCP server performance and resource utilization.
Debug complex issues in distributed MCP environments.
Maintain detailed documentation for MCP servers and integration patterns.

Contribute to Open Source:
Engage with the open-source community, contributing to the development and improvement of MCP.

We are looking for a Exceptional Software Engineer who will help us with our mission to ease Authentication burden for every developer out there

You should be able to build high-quality, innovative and fully performing software in compliance with coding standards and technical design.

The position will have significant more Frontend work than Backend.