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The AI, Data & Research unit is at the forefront of our companys innovation, building data-driven, ML-powered, and intelligent security solutions. We are looking for a passionate MLOps Engineer to join our team of seasoned ML engineers.
You will play a critical role in building a multi-tenant PaaS for ML pipelines and inference, ensuring scalability, reliability, and security. You will take ownership of critical platform components, drive best practices, and mentor other engineers.
Design, build, and maintain infrastructure-as-code using Python and AWS services for deployment.
Architect, build, and manage Docker-based services.
Lead the design and implementation of solutions using AWS services such as SageMaker, Lambda, Step Functions, SageMaker Pipelines, Batch Transform, and Real-Time Endpoints.
Enhance and maintain CI/CD pipelines (Jenkins and shared libraries).
Ensure multi-tenant security and tenant isolation across the platform.
Define and implement observability and monitoring practices with Datadog and other tools.
Collaborate closely with Data Scientists, Data engineers, MLEs, Product Managers, and other engineering teams to integrate ML workflows.
Mentor junior engineers and promote engineering best practices.

We're looking for a proactive and analytical Cloud FinOps Engineer to join our team and take ownership of our cloud financial operations. In this role, you'll be the crucial link between our engineering, product, and finance teams, ensuring we build and run our cloud services efficiently and profitably. You won't just be reporting on costs; you'll be a strategic partner who drives financial accountability and intelligence across the organization. You will be working closely with the Chief Architect, VP R&D and the Platform teams.

What You'll Do
You'll dive deep into our cloud and SaaS spending data to uncover trends, identify optimization opportunities (like right-sizing, reserved instances, or savings plans), and work directly with engineering teams to implement your recommendations.
You will collaborate closely with Product Managers to analyze the underlying costs of customer usage. Your insights will directly shape our pricing models and help evaluate the commercial viability of new features and projects before they're built.
You'll establish and maintain our cloud cost governance framework. This includes perfecting our resource tagging strategy, managing cost allocation, and building automated guardrails to prevent budget overruns and wasteful spending.
You will build and manage insightful dashboards, reports, and alerts that provide clear visibility into our cloud spend for all stakeholders. When you spot an anomaly or a spike in costs, you'll be the one to investigate and escalate it.
You will work with our cloud and SaaS providers to understand their pricing models and discount opportunities. Where appropriate, you'll participate in negotiating contracts to ensure we're always getting the best value.
Keep a pulse on the latest industry trends, best practices, and emerging technologies in the FinOps space to ensure we remain efficient and competitive.

we are looking for a Staff software engineer to join our elite team which is responsible for building one of our companys new SaaS products.
In this role you will be using AWS serverless architecture, GO, AWS CDK & Python to design, develop, test, secure & deploy services from planning to production. You will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.
The team works in full collaboration with security architects, product managers and other development teams.
We are looking forward for energetic and versatile person to join our family and help us achieving our goals.

Were looking for a brilliant Deep Learning & Computer Vision engineer to join our Algorithms group.
What will you do?
Be a researcher of the core deep learning algorithms and communicate with other researchers.
Design and implement advanced algorithms to solve complex problems.
Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

we are the global leader in Identity Security. Centered on privileged access management, our company provides the most comprehensive security offering for any identity human or machine across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The worlds leading organizations trust our company to help secure their most critical assets.
Job Description
What will you do:
We are looking for a bright, talented Senior Devops Platform Developer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. Focused on development flow productivity, building application infrastructures and tools, with huge challenges related to hyper-growth of engineering and application scale.
As part of your role, you will design, implement and deploy products and infrastructures which will directly increase our stability and quality, while reducing our time to market. Design and develop solution-oriented enterprise DevOps Platforms and tools
Create solutions to increase R&D velocity, reduce lead time and improve overall product quality.
Plan, Design, and develop the company SAAS infrastructure, operation engine, and deployment strategy.
Develop and adopt new technologies aim at improving our overall CI/CD pipelines.
Platform and service troubleshooting across various applications, domains, and platforms
Introduce Security into both the CI and CD pipelines utilizing DevSecOps shift left approach.

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.