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We are looking for an experienced and hands-on Automation Tech Lead to lead the technical direction of our automation infrastructure and drive the adoption of scalable, reliable, and maintainable automation solutions.
The role combines hands-on engineering, technical leadership, architecture, and mentoring, working closely with QA, R&D, DevOps, and Product teams.
What you'll do:
Define and drive the technical strategy and architecture of automation.
Design, develop, and maintain scalable automation frameworks.
Develop automated tests using Python and pytest.
Integrate and maintain automation within CI/CD pipelines, including Jenkins.
Define automation best practices, coding standards, and quality guidelines.
Improve automation stability, execution time, coverage, and maintainability.
Lead debugging and root-cause analysis of complex automation and system issues.
Mentor automation engineers and conduct code reviews.
Collaborate with R&D to improve product testability and quality.
Evaluate and introduce new technologies and approaches, including AI-based testing and automation.

We are looking for an experienced AI Engineering Manager to lead our AI team within R&D and drive the development and integration of AI capabilities across our RAN product portfolio.
The team works on production-focused AI solutions, including agentic AI for network operations, AI-driven optimization and automation, technical assistants, and automated root cause analysis. In this role, you will combine technical leadership, people management, and execution ownership to take AI initiatives from concept through productization and measurable impact.
You will define the technical direction and roadmap, lead and grow a multidisciplinary team of AI/ML, software and domain engineers, and work closely with R&D, Product, Systems and global teams to bring scalable AI capabilities into our products.
What you will do:
Lead the AI team and own its technical direction, roadmap and execution.
Drive AI/ML initiatives from concept and prototyping through production deployment and ongoing optimization.
Define clear success metrics and ensure AI solutions deliver measurable product and business impact.
Lead architecture and technical decision-making around AI models, platforms, tools and data.
Build and grow a strong multidisciplinary team, including recruitment, mentoring, performance management and career development.
Establish strong engineering practices around evaluation, scalability, reliability, monitoring and model lifecycle management.
Work closely with Product Management, Systems Engineering and R&D teams across Israel, India and the US.
Partner with RAN and domain experts to identify opportunities where AI can improve network performance, automation and operational efficiency.
Support customer-facing discussions, trials and PoCs where relevant.

We are looking for a highly motivated and passionate Sr. system engineer to design, implement, and integrate advanced cellular communication systems for our next-generation base-station products. Leading system activities from feature design and development to integration.
Job Responsibilities:
Defining and writing system-level requirements and high-level designs. Continuously optimize and fine-tune PHY layer algorithms to enhance the performance and efficiency of the products. 
Provide technical leadership and mentorship to junior engineers within the team, fostering skill development and knowledge sharing. 
Focal point for all system, PHY and RF-related aspects.
Collaborate closely with cross-functional teams to ensure seamless integration with HW, SW, FPGA and other subsystems. 
Hands-on Lab work.

We are looking for a highly motivated, experienced, and passionate PHY/RF algorithm expert to join our RU Architecture & Algorithms team. In this role you will research, study simulate, and invent new algorithms in the PHY and RF domains for our next-generation radio products - working on state-of-the-art problems alongside highly skilled multi-disciplinary teams.
A key part of our charter is bringing AI/ML-based methods into the RF/PHY domain, and you will help shape and realize that direction.
Job Responsibilities:
Research & invention - study the state of the art and conceive, develop, and prototype novel PHY/RF algorithms for advanced cellular radio products.
Modeling & simulation - build MATLAB/Python models and run simulations to validate concepts, quantify performance, and de-risk ideas before implementation.
Trade-off analysis - balance performance against implementation cost, real-time constraints, and time-to-market to converge on the right design.
AI/ML for RF/PHY - explore and apply machine-learning and data-driven techniques to RF/PHY problems (e.g., neural DPD, channel estimation, interference/PIM classification, beamforming, and related areas).
From research to release - drive algorithms from research and simulation through to an official release, including specification documents and hands-on support during implementation and integration toward high-quality deliveries.
Collaboration - work with highly skilled architecture, system, firmware, hardware, and validation teams to bring algorithms into real products.

DRS RADA is a global pioneer of radar systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. Join Our Team as a Project System Engineer at DRS RADA Technologies! DRS RADA Technologies is seeking a talented individual to join our team and contribute to the development of advanced radar-based electronic systems. About the job:
* Lead the development of advanced radar-based electronic systems
* Act as the primary point of contact for technical matters
* Collaborate with the R&D, engineering, and product teams to ensure timely delivery

Role Overview:
The Senior Assistant Treasurer plays a key role in managing and analyzing the Groups global treasury activities, with a strong and central focus on debt management, global cash flow management, procedures, and processes with a strong business orientation. This role is critical to enable accurate and valuable analysis of the companys cash flow and debt structure in a complex, multi-currency, global environment.
The role requires intensive interfaces with many functions in corporate, operations and globally with the countries' treasury/finance local teams and is expected to Act as a key deputy to the Group Treasurer.
Experience:
Global cash flow & liquidity management (cash forecasting) at least 3 years - (Must-have experience)
Debt management (loans, covenants, banks, refinancing) - (Must-have experience)
Strong collections and disbursements analysis (DSO, DIO, DPO, and working capital analysis)
Experience in global/multi-currency corporate environments
Experience working with cross-functional and international teams.

As an MLOps Team Leader, you will own our AI infrastructure and backend engineering efforts, leading a team at the intersection of systems design and machine learning to build the engineering systems that turn Deep Learning and Computer Vision research into reliable, scalable production features.

What Youll Be Doing:
Lead MLOps Engineering: Own the roadmap and execution for a team of backend and AI infrastructure/MLOps engineers, setting technical direction, removing blockers, and holding the bar on delivery quality.
Build Production AI Systems: Design and implement production-grade, end-to-end AI solutions, including agentic workflows, that integrate Deep Learning models and Computer Vision algorithms into real features. Own the offline experimentation and validation layer, including POC environments that let the Algo team move from research to production confidently.
Architect Data Platforms: Drive the design and implementation of scalable data platforms and pipelines that power our AI capabilities reliably and with an eye on cost and scale.
Cross-functional Collaboration: Work closely with the Algorithms and Data teams to tackle complex, real-world problems, translating research into shippable, maintainable systems.
Elevate Engineering Standards: Champion Software Engineering and System Design best practices across the group, introducing the right methodologies, tooling, and culture of craft.