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Todays world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough
Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too.
For nearly 30 years, the incredible minds at our company around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends and help make the world a safer place with leading investigative analytics software solutions.
We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.
We are looking for a Senior Backend Engineer to design, architect, and scale the core software foundation powering our next-gen GenAI Co-Pilot and Decision Flows. Working hand-in-hand with our Data Science team, you will take full ownership of critical components, bridge the gap between advanced AI models and production systems, and deliver high-performance, secure, and scalable solutions that drive real-world impact.
As a worker, you will:
Build platforms that consolidate complex data to help analysts make critical, real-world decisions.
Partner with AI Data Science and Product teams to deliver sophisticated investigative tools.
Ensure high-quality standards for software that directly impact global safety and investigative outcomes.
Mentor engineers and serve as a go‑to person for problem solving.
Join a team that fears no technology and constantly tests the boundaries of investigative power.

We are seeking a highly experienced professional with a strong background in RF, digital, and system-level testing, and with the ability to guide technical decisions, solve complex integration challenges, and support advanced test equipment for production environments.

What will you do:

Design and develop Automated Test Equipment (ATE) for RF, digital, and mixed-signal products at board and system levels.

Lead the technical definition and implementation of test strategies in collaboration with R&D, product engineering, and manufacturing teams.

Own the technical analysis of system schematics, block diagrams, and interface requirements to define robust and reliable ATE solutions.

Support production lines by troubleshooting test failures and optimizing test processes for yield and throughput improvements.

Provide technical guidance for integration with software and firmware control and automation systems.

Evaluate and select test instruments, fixtures, and measurement techniques based on product specifications.

Maintain documentation for test systems, including design files, calibration procedures, and troubleshooting guides.

Mentor engineers and technicians on ATE methodologies, operation, and maintenance.

We are looking for a senior HW Engineer to join the HW team to lead the design of system hardware includes the development of cards and enclosures for compute, storage, and communication systems for space. Come explore space with us!



What You Will Be Doing


Lead board design through all development stages: from definition to implementation, bring-up, qualification and final release.
Full responsibility for electrical specification, schematic design, components selection and layout considerations till board fabrication and assembly
Extensive lab bring-up and debugging until the testing platform is efficiently implemented on the Production floor.
Combine an understanding of the electronics, FW and SW aspects into the accurate system architecture.
Collaborate with multidisciplinary R&D engineering teams
Monitor environment testing

We are looking for a Ground Systems Integration Engineer to join a multidisciplinary team responsible for the integration and operation of satellite ground systems, with a strong focus on RF and communication technologies, including antennas, satellite modems and ground station equipment.
Responsibilities:

* Integrate and support satellite ground system components, including RF, hardware, software and network elements.
* Collaborate with multidisciplinary engineering teams.
* Troubleshoot system and RF -related issues.
* Create and maintain technical documentation.
* Support project execution and on-site activities abroad.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for a Hardware Integration Engineer to join our expanding R&D team. In this role, you will collaborate with off-the-shelf component vendors to evaluate new technologies for integration into our products, qualify new hardware and firmware releases, and lead debugging efforts on complex technical issues. You will also provide hardware-focused support to internal teams, including Level 3 support, Manufacturing, R&D, QA, and IT.

Responsibilities:

* Demonstrate deep expertise in storage hardware products, including servers, drives, enclosures, and power components
* Evaluate and qualify new hardware components, actively participating in their integration into the product
* Collaborate with global vendors and cross-functional internal teams to enhance product quality and resolve complex technical issues
* Lead failure analysis investigations- both internally and with suppliers and drive corrective and preventive actions
* Manage and lead new and existing hardware projects, continuously exploring technologies and methodologies
* Maintain and update the hardware knowledge base using industry-standard tools (e.g., Jira, Google Sheets, etc.).

We are looking for a highly motivated and passionate Sr. AI PHY System Engineer to design, implement, and integrate advanced cellular communication systems for our next-generation base-station products. The role leads PHY activities from feature development through integration, with a strong emphasis on automation and the use of modern AI tools to accelerate development, debugging, and validation.
What you'll do:
Leverage existing AI tools (AI coding assistants, LLM-based workflows) to speed up development, code comprehension, debugging, and documentation.
Provide technical leadership and mentorship to junior engineers within the PHY team, including sharing best practices for automation and AI-assisted development.
Act as the focal point for all PHY and RF-related aspects.
Define and write system-level requirements.
Continuously optimize and fine-tune PHY-layer algorithms to enhance the performance and efficiency of base-station products.
Build automation and internal tooling to streamline PHY development, integration, and lab testing - reducing manual effort and improving repeatability.
Work within existing codebases and repositories: understand the current architecture quickly, extend it responsibly, and add new capabilities without destabilizing established flows.
Design and develop new tools (test harnesses, analysis utilities, reporting dashboards) to support PHY bring-up and validation.
Collaborate closely with cross-functional teams to ensure seamless integration of PHY components with software, digital signal processing (DSP), and other subsystems.
Hands-on lab work.

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.

we empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for a Hardware Integration Engineer to join our expanding R&D team. In this role, you will collaborate with off-the-shelf component vendors to evaluate new technologies for integration into our products, qualify new hardware and firmware releases, and lead debugging efforts on complex technical issues. You will also provide hardware-focused support to internal teams, including Level 3 support, Manufacturing, R&D, QA, and IT.
Responsibilities:

* Demonstrate deep expertise in Storage hardware products, including servers, drives, enclosures, and power components.
* Evaluate and qualify new hardware components, actively participating in their integration into the product.
* Collaborate with global vendors and cross-functional internal teams to enhance product quality and resolve complex technical issues.
* Lead failure analysis investigations- both internally and with suppliers, and drive corrective and preventive actions
* Manage and lead new and existing hardware projects, continuously exploring technologies and methodologies
* Maintain and update the hardware knowledge base using industry-standard tools (e.g., Jira, Google Sheets, etc.).

We are looking for an experienced physical-design leader who wants to remain close to technology while leading an accomplished engineering team.
You will lead a team of experienced backend engineers across Israel and India and own delivery across multiple projects in parallel.
This hands-on leadership role combines approximately 50% technical work and 50% team management, with end-to-end responsibility for turning complex RTL into tape out-ready GDSII.
Responsibilities:
Own and drive the complete RTL-to-GDSII flow, including synthesis, implementation, timing closure, physical verification, signoff, and tape out-ready IP delivery.
Lead, mentor, and develop a distributed team of experienced engineers while setting priorities and ensuring predictable, high-quality execution.
Provide hands-on leadership in flow development, advanced technology-node bring-up, integration, automation, and complex design closure.
Partner with architecture, frontend, verification, and other stakeholders to remove technical roadblocks and continuously improve backend methodologies.
The role includes working closely with customers and supporting backend convergence of the IP.

we are looking for a RF System Architect.
The wireless system engineer is a key position in a multidisciplinary R&D organization and acts as a technical lead for all matters related to wireless system design in new and existing products.
In this role you will be part of a dynamic team responsible for defining the architecture of a product, targeted to the Wireless Backhaul Market for 5G deployments.
Understand and analyze customer needs and market trends.
Define hardware, firmware and software requirements while supporting other R&D and Engineering teams, during all project phases.
Support field trials, customer challenges and production processes.

We are looking for Senior Hardware Engineer who can be part of the System& Platform R&D group, who is ready to take on technical leadership and help drive the development of complex, high‑performance hardware for communication and networking systems.
If youre passionate about high‑speed digital design, enjoy mentoring engineers, and thrive in a hands‑on technical environment.
What Youll Do?
Hardware Design & Ownership
Design high-speed digital boards (SerDes, DDR, Ethernet).
Own schematic development and closely oversee PCB layout.
Ensure robust SI/PI performance through analysis and review.
Lead board bring‑up, validation, troubleshooting, and optimization in the lab.
Cross‑Functional Collaboration
Work closely with SW, FPGA, mechanical, and RF teams for system integration.
Present technical insights, design updates, and project risks to management.

we are looking for a Senior RF & PHY Systems Engineer.
Serve as the technical focal point for advanced RF and physical layer (PHY) modem systems, driving the definition, analysis, and hands-on performance verification of next-generation wireless architectures. In this role, you bridge baseband signal processing and analog RF hardware, taking architectural and technical ownership of link performance, system behavior, and end-to-end functionality.

Required Machine Learning Hardware Architect, Hardware, Software Co-Design, Cloud
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a Machine Learning Hardware Architect within the Co-design team, you will serve as a technical lead bridging model architecture innovation and next-generation hardware design. Operating at the highest levels of AI research and engineering, you will define the goal and architectural roadmap for our future machine learning serving and training capabilities. You will guide the integration of ML research such as massive-scale foundation models with advanced silicon architectures to create industry-leading, high-performance, and power-efficient accelerators.
Responsibilities:
Define and drive the technical roadmap and architecture for the hardware/software stack to ensure exceptional performance for ML models. Act as the technical liaison across research, software, and hardware teams, steering model architecture innovation to maximize scaling, quality, and hardware efficiency.
Architect next-generation configurable simulation frameworks and performance models, setting the organizational standard for evaluating complex microarchitectural decisions. Drive high-stakes choices regarding Power, Performance, Area (PPA) and buildability for future chip and system architectures, expertly balancing long-term technological trends with strict product delivery timelines.
Guide system-level performance analysis across highly distributed ML systems, innovating new methodologies to optimize and balance compute, memory bandwidth, and inter-chip network requirements. Their leadership will directly shape the future of high-performance AI infrastructure and hardware-software co-design.
Manage cross-functional partnerships across hardware, compiler development and ML teams.