דרושים » הנדסה » Radar Signal Processing and Algorithms Architect

We are looking for
For our Aerospace Division site in Haifa, we are looking for an Architect with extensive experience in signal processing and 3D imaging to join a multidisciplinary systems and algorithms group developing an innovative and groundbreaking Imaging Radar solution for airborne platforms
This is a unique opportunity to be part of the development of advanced defense technologies, work on complex multidisciplinary systems, and contribute to cutting-edge radar imaging capabilities with real operational impact
In this role you will
Develop and implement advanced radar signal processing algorithms and 3D image reconstruction capabilities
Define, execute, and analyze laboratory, field, and flight experiments
Analyze data and derive conclusions for implementation within the product
Develop and operate dedicated simulation tools for algorithmic research
Integrate complex systems
Work within a multidisciplinary team environment
Collaborate closely with technical management, mechanics, software, hardware, operational research, system engineering, and product management teams.

we are looking for a Algorithm and Applied AI Scientist (DSP).
As an Algorithm and Applied AI Scientist (DSP), you will serve as the technical lead for an innovative project focused on advanced signal processing and data analytics applications. You will work with unique datasets from various signal-generating sources, researching and developing novel models, and analysing, maturing, and extracting features that have a significant impact on industrial manufacturers globally. In this role, you will be instrumental in defining project objectives, identifying customer value, and pushing the team toward successful outcomes. Joining AI team offers ongoing professional growth in leadership, algorithm development, research, innovations, and technical data analysis.
A Day In Your Life:
Be the technical lead of an innovative project.
Develop a comprehensive understanding of industrial data by exploring its physical properties and the relationships among different data streams.
Oversee the full algorithm development cycle, spanning from initial problem definition to the deployment of production-ready feature-based AI models, SDLC starting from feature discovery that is being tracked by sensor behavior patterns.
Architect and build diverse predictive and anomaly classification models using sensor time-series and textual information.
You will gain a deep proficiency in the industrial world and the connection between datasets to generate actionable insights.
Utilize classic and cutting-edge technologies, such as Generative AI, transformers, TSFM, TGNN, deep learning, and traditional statistical methods, time-series, and textual data to generate actionable insights.
Partner with the product team and external customers to create data-driven solutions that address real-world business needs.

We are looking for
we are looking for a Board Design Engineer for our Haifa site within the Aerospace Division. Join a leading global technology company developing advanced mission-critical systems and cutting-edge solutions across a wide range of defense applications. As part of our multidisciplinary engineering teams, you will take part in the development of advanced hardware platforms while working with cutting-edge technologies and complex engineering challenges
In this role you will
Support the development lifecycle of printed circuit boards (PCBs), from requirements capture and board-level architecture definition through design, integration, and testing of advanced digital hardware systems
Work closely with Software, FPGA, Mechanical, and Environmental Engineering teams throughout the development process
Lead PCB layout reviews, high-speed design activities, and signal integrity considerations
Perform debugging, validation, and engineering problem-solving activities during development and integration phases
Collaborate across teams and contribute to technical discussions and engineering solutions.

For our site in Haifa, we are looking for a System Engineer for the development of advanced Helmet-Mounted Systems for pilots
Join us in developing innovative and mission-critical systems integrated into some of the most advanced combat platforms in the world. In this role, you will lead the development and integration of multidisciplinary systems, work with cutting-edge technologies, and contribute to operational solutions for pilots and ground forces. If you are looking for a meaningful technological challenge in a dynamic environment with broad interfaces and real system-level impact - your place is with us
In this role you will
Lead the development, integration, and implementation of advanced head systems for pilots and ground forces
Define system requirements and perform engineering analysis
Design system architecture and adapt technological solutions
Manage system integration and end-to-end testing activities
Support transfer to production and operational implementation processes
Work closely with development teams, customers, and suppliers in Israel and abroad
Provide technical leadership for complex multidisciplinary projects and collaborate with multiple interfaces.

Required Senior RTL Design Engineer, Digital Signal Processing
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 an RTL Design Engineer, you will be a key contributor to the physical implementation of next-generation TPU technology building ASICs for high-speed communication systems. You will take ownership of complex blocks, translating mathematical models into bit-exact silicon. Your expertise in front-end design flows will be vital in delivering the hardware that powers our advanced AI models and cloud services.
We're the driving force behind our groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Cloud, Global Networking, Data Center operations, systems research, and much more.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Responsibilities
Design and implement high-speed blocks, taking end-to-end ownership of complex modules within the larger system.
Solve complex implementation issues related to GHz-frequency timing closure and advanced process nodes.
Transform high-level architectural specifications and communication theory models into efficient, bit-exact implementations.
Perform fixed-point analysis and micro-architectural trade-offs. Execute and optimize the front-end design flow for your assigned components to ensure, sign-off quality designs.
Collaborate closely with verification teams to develop bit-exact C++/SystemC models and ensure seamless integration.

Required SoC Quality and Reliability Engineer, 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.
Our data centers are the most advanced in the world. In this role, you will help build the state-of-the art SoCs that power these data centers by driving quality and reliability processes from the Integrated Circuit perspective. This is an opportunity to create silicon and follow it into the field (and back!) to drive improvements for the next-generations of chips.
In this role, you will understand Integrated circuit (IC) flows, wafer processing, testing, qualification, yield, reliability, and failure analysis. You will work with various cross-functional teams to develop quality and reliability specifications, develop and deploy design guidelines, and develop and execute and test plans. Within the larger organization you will collaborate with global hardware quality and reliability teams, silicon design, validation and engineering teams.The AI and Infrastructure team is redefining whats possible. We empower customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.
Responsibilities
Drive the strategic definition and development of Design-for-Reliability (DfR) guidelines, collaborating with cross-functional subject matter experts to integrate reliability into early design stages.
Define and lead the development of qualification hardware and test methodologies, managing internal teams and external vendors to ensure robust silicon and package verification.
Execute comprehensive silicon and package qualification programs (including HTOL, ELFR, ESD/LU, b/HAST, etc.) and conduct in-depth failure analysis to resolve quality issues.
Extract and analyze large-scale data from qualification programs, high-volume manufacturing, and field returns to identify failure mechanisms and trends for yield and reliability optimization.
Develop and implement physics-based statistical Quality and Reliability models (e.g., ELF, TDDB, NBTI) to predict device failure mechanisms and lifetime behaviors.

we are looking for a AI Applied Scientist - Insights & Recommendations.
As AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore research, and develop cutting-edge models that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team , you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the world's technologies, witnessing firsthand their impact on our customers.
A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Combine classic methods with inference techniques: statistics, Time series, Deep learning, anomaly detection, Recommendation Systems, Transformers, and Inference to extract data-driven insights.
Research, design, and build Agentic applications on top of sensor time-series data, textual data, images, ML applications, and other various data sources.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Leverage modern technologies: work with cloud-based big data platforms for storage, distributed processing, LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.

Required Staff Embedded Firmware Engineer, High Speed DSP
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 Staff Embedded Firmware Engineer for High-Speed DSP, you will architect and define the low-level firmware and control loops powering the world's most advanced physical-layer communications silicon. Sitting at the critical intersection of digital signal processing (DSP), hardware-software co-design, and real-time systems, you will lead the development of adaptive algorithms, error correction (FEC), and link-telemetry frameworks. Your work will directly bridge the gap between high-performance hardware pipelines and our planetary-scale AI infrastructure, transforming complex communication systems theory into reliable, real-time silicon execution.
Responsibilities
Define the long-term firmware roadmap and hardware-software partitioning for physical-layer interfaces, determining the optimal balance between hardware-fixed logic and programmable firmwarm.
Architect advanced "in-situ" monitoring systems and firmware-driven diagnostics to track physical-layer link health, Bit Error Rate (BER) trends, and channel quality across millions of ports in real-time.
Design, model, and implement bare-metal or RTOS firmware to control high-speed transceivers, managing real-time adaptive loops, clock and data recovery (CDR), and physical-layer calibration.
Partner with TPU Systems, Networking Software, and High-Performance Computing (HPC) teams to ensure silicon firmware integrates seamlessly with global cluster management and collective communication frameworks.
Identify and de-risk hardware-software interface bottlenecks (e.g., register maps, driver latencies, and boot-up sequencing) that impact our AI infrastructure.