לוח משרות דרושים

We're on the hunt for a highly experienced and visionary Staff/Principal Software Architect to spearhead the strategic transformation of our core on-premise applications into a robust, scalable, and secure SaaS platform. This is a pivotal role that will directly shape the future of our product offerings and significantly impact our growth within the critical counter-UAS domain. Reporting directly to the VP of R&D, you'll lead the architectural vision, leveraging your deep expertise in software and system design, chiefly SaaS, to drive this critical migration.

Key Responsibilities:
SaaS Migration Strategy & Leadership:
Define, champion, and execute the architectural roadmap for migrating existing on-premise applications to a modern SaaS architecture.
Lead the architectural design and implementation of multi-tenant, highly available, scalable, and secure SaaS solutions.
Conduct comprehensive assessments of existing on-premise applications to identify architectural dependencies, data models, integration points, and areas for refactoring or re-platforming.
Develop detailed migration strategies, including phased approaches, data migration plans, and cutover strategies, minimizing downtime and business disruption.
Architectural Design & Governance:
Design and evolve the target SaaS architecture, leveraging cloud-native services (e.g., microservices, serverless, containers, managed databases, message queues) and best practices.
Establish architectural patterns, standards, and guidelines for SaaS development, ensuring consistency, scalability, and maintainability across all product lines.
Drive the adoption of CI/CD pipelines, DevOps practices, and automated testing strategies essential for a successful SaaS model.

We are looking for a Digital Hardware Engineer to join our HW team, for leading the design of multi-functional digital HW boards from block diagram up to production.

Principle duties and responsibilities:
Develop block diagrams and schematics from the initial concept phase
Design high-speed digital circuit boards.
Define specifications, design, test, bring-up, integrate, and release new products for production.
Create Hardware Design Specifications and test plans.
Collaborate cross-functionally with all R&D disciplines to meet design objectives.
Provide engineering support for designs in production.
Guide PCB layout designers during the design process.
Work closely with FPGA, software, and test engineering teams during product integration.

We are seeking a highly skilled and motivated Integration Automation Team Leader to join our R&D organization. This role is central to building and leading our automation Infrastructure and testing, ensuring robust test coverage across SW components, integration, system, and end-to-end levels.
The successful candidate will provide both technical leadership and hands-on contributionmentoring a team of automation engineers, establishing best practices, writing automated tests, and driving adoption of modern automation tools and CI/CD methodologies. While the primary focus is integration automation, knowledge of RF systems/Cyber and DevOps is a strong plus.

Key Responsibilities:
Lead and mentor a team of automation engineers, setting technical direction, assigning tasks, and supporting professional growth.
Architect, implement, and maintain scalable automation frameworks using Python and Pytest.
Write, review, and optimize unit, integration, and regression test cases to ensure high-quality software delivery.
Oversee automation of system-level and end-to-end testing, including API and UI layers (Selenium preferred).
Design and maintain CI/CD pipelines with Jenkins, Docker, and Git, ensuring automated testing is integrated into every stage of development.
Collaborate closely with software developers, RF, QA, DevOps, and hardware teams to embed testing and automation best practices into the product lifecycle.
Define, track, and report test metrics such as coverage, execution reliability, and defect detection effectiveness.
Promote a culture of quality and continuous improvement, introducing new tools and practices to strengthen automation.
Act as a technical expert, conducting code reviews and ensuring adherence to coding/testing standards.

In this role, you will lead a team of Machine Learning Scientists and Engineers dedicated to building, training, and deploying cutting-edge Generative AI models. This includes developing foundation models trained on extensive textual data and creating fine-tuned models designed to tackle complex travel-related tasks. Your leadership will play a pivotal role in advancing the application of AI to transform the travel experience for millions of customers.

As a technical manager, you should be passionate about GenAI technology, keep up to date with recent breakthroughs in the field, define and shape the teams ML roadmap, and not be afraid to get your hands dirty with code when needed.

You are expected to be the focal point for all technical aspects, make sure your team members deliver on their tasks, and work together with other stakeholders to define and shape the roadmap of our products. You will work independently and will also be responsible for making technical decisions within your team.

When it comes to management, your expertise in handling people will motivate and inspire them to reach outstanding success! You should have experience in developing people. You will mentor and coach your team while working closely with a Product Manager.



Key Job Responsibilities and Duties:

Leadership in LLM Development- Build, Guide and mentor a team of ML scientists and ML engineers in the development, fine-tuning, and deployment of large language models (LLMs) tailored for the travel domain.

Expertise in the engineering aspects of deploying LLMs at scale with minimal latency. This includes optimizing model performance, scalability, and efficiency to meet the demands of real-time, high-traffic applications.

Define and communicate the technical vision and strategy for LLM-related initiatives, ensuring alignment with company goals and customer needs.

Foster a culture of collaboration, innovation, and excellence within the team.

Prioritize work in collaboration with Product Managers, depending on business needs and keeping stakeholders aligned at all times.

Translate machine learning vision and strategy into planning and execution, and ensure timely delivery of their plans.

Develop innovative ML models, algorithms, and engineering approaches or identify existing ones, with the potential to impact our business.

Design and execute applied research plans to understand, apply, test, evolve, and generalize these technologies into reusable frameworks.

Translate business problems into viable, reliable and robust ML and AI solutions, accounting for constraints of the production environment.

Monitor product health, performance and business impact and act accordingly when requirements are not met.

Identify underlying issues and opportunities across domains and situations that are not obviously related through application of structured thinking and logic.

Req ID: 20717

We are looking for a highly skilled Senior Developer Integration Automation to join our R&D Integration Automation team. This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools. The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle. Knowledge of RF systems is a strong plus.

Key Responsibilities:
Design, implement, and maintain automation frameworks and test scripts using Python and Pytest.
Write unit tests, integration tests, and regression suites to ensure comprehensive test coverage.
Develop and execute system-level and end-to-end automation, including API and UI layers (Selenium preferred).
Contribute to and optimize CI/CD pipelines (Jenkins, Docker, Git) for reliable and scalable test automation.
Collaborate closely with SW developers, RF, QA, and DevOps engineers to embed automated testing into every phase of the product lifecycle.
Perform code reviews, provide technical guidance, and ensure automation code meets high quality and maintainability standards.
Analyze test results, identify root causes of failures, and drive timely resolution in partnership with development teams.
Continuously evaluate and introduce new tools, libraries, and practices to improve automation efficiency.
Support integration activities and ensure smooth interaction between hardware, software, and automation systems.

We are looking for a talented communication PHY algorithms engineer to join our growing, highly motivated, and skilled modem research team, to lead and participate in research of proprietary wireless communication signals and design modulators,
demodulators as part of our counter-drone cyber-based product.

Responsibilities:
Research and analysis of proprietary air interface: algorithm research of sampled wireless signals using MATLAB or Python, to define all radio characteristics including sample rate, modulation scheme, error corrections, spreading techniques and more.
Full modem implementation and simulation in MATLAB or Python.
Guide and support the FW, DSP and FPGA teams for concept implementation and debug.
Analysis and debug of PHY algorithms behavior and performance improvements.

As a Software Engineer working on the platform, you have the opportunity to be responsible for the development, performance, and scaling of search ranking system. You will work within a cross-functional team of senior engineers, data scientists and ML engineers.



Key Job Responsibilities and Duties:

Implement innovative ML models, algorithms, and engineering approaches with the potential to impact our core business.

Service ownership - ensure operational excellence in a fast-paced and complex environment, troubleshoot performance issues and own technical incident management.

Collaborate with various teams to integrate ranking innovations into the search results funnel.

Build readable and reusable code, applying in depth knowledge of business area tools and product needs.

As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspectsensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.

Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.



Key Job Responsibilities and Duties:

Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.

Dealing with massive textual sources to train GenAI foundation models.

Solving issues with data and data pipelines, prioritizing based on customer impact.

End-to-end ownership of data quality in our core datasets and data pipelines.

Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.

Providing tools that improve Data Quality company-wide, specifically for ML scientists.

Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.

Acting as an intermediary for problems, with both technical and non-technical audiences.

Promote and drive impactful and innovative engineering solutions

Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation

Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

Req ID: 20718

The Multi-Layer cUAS product manager is a key member of the product management organization. He is the product lead for our new offering and expanded portfolio adding additional cUAS technologies int our cyber core offering.

Responsibilities:
Identify 3 rd party companies operating in the cUAS domain with complementary technologies. evaluate their technologies and define the product strategy for integrating their technology into D-Fend portfolio.
Work closely with R&D, 3rd party companies, to define product requirements and integration scope
Manage relations with the partners
Define the product strategy, commercial aspects, go-to-market, sales -related activities and marketing.

The Hardware product manager is a key member of the product management organization. He is the product lead for our advanced SDR product, extensive portfolio of deployment configurations, as well as new hardware product initiatives.

Responsibilities:
Own the products design(requirements), development to specifications, release-to-market and life cycle support.
Work closely with R&D, Manufacturing to ensure product quality in all aspects and phases of the product.
Ensure optimal prioritization of R&D efforts to meet the product goals.
Define radio certification requirements and processes in collaboration with R&D as well as other engineering standards to be supported by the product
Support the product production processes.
Develop and update the products roadmap in accordance with customer needs, market trends, technology developments.
Lead the Product Life Cycle Management (PLCM) process in the company.
Develop relevant technical product descriptions and other technical documentation.
Support field trials, customer surveys, technical support, and production processes.

The pre-sales engineer will support the sales team and sales operations to drive sales opportunities, demonstrate our product, train our customers and sales team, provide technical assistance, and assist in achieving our sales goals.

As a subject matter expert on our offerings, products, the pre-sale engineer will assist sales managers in qualifying customers technical requirements, demonstrating the technical and operational features of the product line, and answer all questions related to our products to the satisfaction of the customer. The pre-sale engineer will ensure proper handover of information to the Professional Services Team to prepare them for client engagements and project implementation by sharing knowledge gained about the customer environment, systems, and risk profile. The pre-sale engineer will also carry lessons learned from their activities and present these to the relevant product teams to supply input for the strategic direction of the product line.

Key Responsibilities:
Conduct in-depth hands-on product demonstrations and sales presentations
Lead technical responses to customer requirements, including RFIs, RFPs, solution descriptions, presentations, site surveys, training, and event support
Provide field feedback to help shape product development
Proactively shape the sales cycle, strengthen customer relationships, and contribute directly to achieving sales targets.

As a Mechanical Engineering Product Lead, you will be responsible for leading the transition of new hardware products from the design and development phase to successful mass production. You will be a key technical point of contact, managing New Product Introduction (NPI) activities and collaborating closely with various teams to ensure smooth and efficient manufacturing.

Main Responsibilities:
Lead and manage New Product Introduction (NPI) activities for new hardware products, overseeing the entire process from design to mass production.
Develop and optimize manufacturing processes, creating detailed engineering and manufacturing documentation.
Manage the design and manufacturing of mechanical components made from plastic and metal, working directly with CMs locally and abroad.
Lead the design, validation, and certification of product packaging.
Act as a technical focal point, collaborating with R&D, production, quality assurance, and supply chain teams.
Support the design and manufacturing of jigs and fixtures for the production line.
Lead the manufacturing and DFx and FAI processes for mechanical parts, PCBs, and PCBAs.
Support the assembly of mechanical prototypes.