דרושים » מדעים מדוייקים » Algorithm and Applied AI Scientist (DSP)

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 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.

In our group, we research, develop, and deploy state-of-the-art lidar perception and deep learning technologies to achieve world-class performance, enabling the safe development of Autonomous Driving features and Advanced Driver Assistance Systems. We are looking for a passionate engineer with strong expertise in deep learning, computer vision, and large-scale data-driven algorithm development.
What will your job look like:
Research, design, develop, and implement advanced lidar-based perception algorithms using state-of-the-art deep learning and computer vision techniques
Develop, train, and optimize deep neural networks for challenging 3D perception tasks such as detection, classification, tracking, segmentation, and scene understanding
Evaluate existing models and architectures, investigate emerging deep learning methodologies, and propose innovative solutions to improve accuracy, robustness, and computational efficiency
Analyze and validate algorithms on large-scale real-world datasets collected by our vehicles worldwide
Collaborate with cross-functional teams to define requirements, create data-driven solutions, and deploy production-ready models
Optimize deep learning models and classical algorithms for scalability, runtime performance, and deployment on embedded automotive platforms
Stay at the forefront of advances in deep learning, computer vision, and autonomous driving research, and drive their adoption into production systems.

Required Silicon Test and DFT 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.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.
We're behind groundbreaking innovations, empowering the development of 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.
Responsibilities
Collaborate with Architecture, Design and Verification teams to develop new product bring-up, validation, characterization, and qualification strategies and manufacturing test solutions for new High Performance Computing (HPC) products in advanced process technologies.
Verify test solutions on pre-silicon models (simulation or emulation) and develop Automated Test Equipment (ATE) test modules and binning flows.
Develop and validate test programs on Automated Test Equipment (ATE) platforms for new product integration (NPI) in preparation for high-volume manufacturing (HVM), working with ATE vendors and internal cross-functional teams.
Manage product sustainment support, including analyzing volume data, improving test time and yield, assessing test escapees and return merchandise authorizations (RMAs), localizing failures, implementing containment measures, and partnering with design, manufacturing, and quality and reliability teams to identify root causes and implement corrective actions.
Build tools, flows and methodologies to continuously improve and automate the testing life-cycle.

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.

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.

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. You will have an opportunity to create silicon and follow it into the field and back to drive improvements for the next-generations of chips.
You will have an understanding of Integrated Circuit (IC) flows, wafer processing, testing, qualification, yield, reliability, and failure analysis is expected. 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. 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.
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.
Responsibilities
Lead 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.
Establish and direct the development of qualification hardware and test methodologies, managing internal teams and external vendors to ensure silicon and package verification.
Execute comprehensive silicon and package qualification programs (including high-temperature operating life (HTOL), early life failure rate (ELFR), electrostatic discharge and latch-up (ESD/LU), and biased highly accelerated stress test (b/HAST)) and conduct in-depth failure analysis to resolve quality issues.

We are looking for an Algorithm Developer who will be challenged to solve real-world problems using Computer Vision and Signal Processing techniques. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives.
In this position, you will combine classic programming and algorithm development in Python and C++, and be responsible for maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms that can address new problems and challenges as they arise.
The work in our algorithms department is dynamic and involves developing algorithms from the early stages of research through to production, while collaborating with other teams throughout the organization.
What will your job look like:
Your job will include a combination of classic programming and algorithm development.
You will develop in both C++ and Python.
You will need to both maintain the product and develop new features.
You will need to learn and develop new algorithms that can address new problems as they arise.

We are looking for an exceptional Scientific Director, Physics to lead our Physics organization and help shape the scientific foundation behind our next generation of product innovation.

In this highly visible leadership role, you will lead a team of physicists working at the intersection of physics, biology, engineering, and clinical science to advance our Tumor Treating Fields (TTFields) technology. As a member of the Product Development Leadership Team, you will provide scientific direction, develop organizational capabilities, and help solve complex multidisciplinary challenges that drive innovation from early discovery through clinical application.

This role requires both scientific depth and leadership excellence. You will build and develop a high-performing team, foster a hypothesis-driven approach to scientific problem solving, and influence strategic decisions across Product Development, Preclinical Research, Medical Affairs, Regulatory, and Clinical teams.

Success in this role means building a world-class physics organization, strengthening scientific capabilities, driving meaningful innovation, and translating complex scientific questions into practical solutions that accelerate product development and improve outcomes for patients.

This is a full-time position based at our R&D center in Haifa, Israel, reporting to the Global Head of Product Development.

What you will do
Lead, mentor, and develop a team of 10-15 physicists focused on product innovation, biophysics, modeling, and experimental physics.
Serve as a key member of the Product Development Leadership Team, providing scientific leadership across product innovation initiatives.
Partner closely with Product Innovation, Preclinical Research, Clinical, Medical Affairs, Publications, and other cross-functional teams to solve multidisciplinary scientific and technical challenges.
Define and advance the scientific and modeling framework that supports product innovation, translational research, and clinical development.
Apply deep scientific expertise to guide multiple initiatives spanning device physics, biology, and clinical applications.
Build new organizational capabilities by developing internal talent and leveraging external scientific expertise when needed.
Promote and model a hypothesis-driven scientific approach to problem solving and decision-making.
Support scientific publications, patent development, regulatory submissions, and external research collaborations.
Deliver internal and external scientific training on the physics of Tumor Treating Fields (TTFields), as needed.