דרושים » תוכנה » Radar Signal Processing and Algorithms Architect

Required Staff Architect, Digital Signal Processing, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As a Staff Engineer on the Digital Signal Processing team, you will be a technical leader responsible for architecting and developing the core algorithms that power our next-generation data center interconnects. You will leverage your expertise in communication theory, forward error correction (FEC), and modulation to design novel, low-complexity solutions that push the boundaries of speed and reliability.
In this role, you will not only define the technical direction for critical projects but also mentor other engineers and collaborate across hardware and software teams to bring your goal to life in silicon.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead the architecture, design, and implementation of digital signal processing (DSP) algorithms for high-speed optical communication systems. Drive the long-term technical roadmap for our signal processing and communication architectures by staying current with academic and industry trends.
Develop and analyze novel forward error correction (FEC) and modulation schemes to optimize for performance, power, and complexity tradeoffs.
Create comprehensive system-level models using tools like Matlab, Python, or C++ to simulate and validate algorithm performance.
Collaborate closely with logic design, verification, and software teams to ensure the successful implementation, integration, and bring-up of algorithms in custom silicon.
Provide technical leadership and mentorship to a team of DSP and communication systems engineers, fostering innovation and engineering excellence.

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.

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 our 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.

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 our 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.

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 SOC Quality and Reliability Engineer, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive 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.
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.
Analyze 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., early life failure (ELF), time-dependent dielectric breakdown (TDDB), or negative bias temperature instability (NBTI)) to predict device failure mechanisms and lifetime behaviors.

Required Senior Post-Silicon Validation Engineer, Networking
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
We are building a new team to lead the post-silicon validation efforts for our cutting-edge product. We're looking for highly motivated and talented engineers to join us in ensuring the quality and functionality of our next-generation networking silicon. This is a unique opportunity to be part of a foundational team and make a significant impact.
As a Silicon Validation Engineer, you'll play a pivotal role in the validation of our custom silicon solutions that power our cloud infrastructure bringing it to the highest quality level. Your expertise in post-silicon validation will be essential in identifying and resolving issues before they impact our customers, ensuring a seamless and high-performance cloud experience.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including our Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Conduct in-depth analysis into the architecture and microarchitecture of complex hardware units and features, such as packet processing pipelines and advanced networking capabilities.
Develop comprehensive post-silicon validation test plans based on a thorough understanding of the design and specifications.
Write, execute, and debug validation tests using Python or C/C++, running on Pre-Silicon (Pre-Si) emulation platforms and primarily on the silicon.
Lead the bring-up, troubleshooting, and debug efforts on silicon, identifying root causes of hardware and software issues.
Contribute to the development of test infrastructure and methodologies to improve validation efficiency and coverage.

Required Silicon Validation Engineer, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
We are building a new team to lead the post-silicon validation efforts for our product. We are looking for highly motivated and talented engineers to join us in ensuring the quality and functionality of our next-generation networking silicon. This is a unique opportunity to be part of a foundational team and make a significant impact.
As a Silicon Validation Engineer at Cloud, you will play a pivotal role in the validation of our custom silicon solutions that power our cloud infrastructure bringing it to the highest quality level. Your expertise in post-silicon validation will be essential in identifying and resolving issues before they impact our customers, ensuring a seamless and high-performance cloud experience.
Responsibilities
Dive into the architecture and microarchitecture of complex hardware units and features, such as packet processing pipelines and advanced networking capabilities.
Develop comprehensive post-silicon validation test plans based on a thorough understanding of the design and specifications.
Write, execute, and debug validation tests using Python or C/C++, running on Pre-Si emulation platforms and primarily on the silicon.
Lead the bring-up, troubleshooting, and debug efforts on silicon, identifying root causes of hardware and software issues.
Collaborate closely with Architects, Designers, and other teams to drive bug fixes and ensure feature functionality.