דרושים » הנדסה » Electro-Optics Operational Research Eng

we are looking for a AI/ML Applied Researcher.
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 solutions 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 technologies in the world, 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.
Research, design, and build anomaly classification, predictive, insights, recommendations, and other types of models from various data sources, including sensor time-series data, textual data, images, and more.
You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks).
Partnering and contributing to modern technologies: LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.
As part of our hybrid working policy, you will be expected to work from the office at least twice weekly, which includes at least one day in Haifa.

Required Senior Silicon Physical Design Engineer
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 SoC Physical Design Engineer, you will collaborate with functional design, Design for Testing (DFT), architecture, and packaging engineers. In this role, you will solve technical problems with innovative micro-architecture and practical logic circuits solutions, while evaluating design options with optimized performance, power, and area in mind.
The AI and Infrastructure team is redefining whats possible. We empower our customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Cloud customers, and billions of users worldwide.
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
Use problem-solving and simulation techniques to ensure performance, power, and area (PPA) are within defined requirements.
Collaborate with cross-functional teams to debug failures or performance shortfalls and meet program goals in lab or simulation.
Design chips, chip-subsystems, or partitions within subsystems from synthesis through place and route, and sign off convergence, ensuring that the design meets the architecture goals of power, performance, and area.
Develop, validate, and improve Electronic Design Automation (EDA) methodology for a specialized sign off or implementation domain to enable cross-functional teams to build and deliver blocks that are correct by construction and ease convergence efforts.

Required Senior Post-Silicon Validation Engineer, Networking
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 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 Staff Architect, Digital Signal Processing, Cloud
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.
This is an executive role where 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.
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.

Rק/וןרקג Power and Signal Integrity Engineer, PhD Graduate
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 Power and Signal Integrity Engineer, you will be responsible for the design and characterization of signal and power integrity of our IC designs. You will design the external electrical interfaces of the device, from their Signal/Power-integrity and electrical usage perspectives and set up methodologies, perform simulations, silicon characterization and correlations to ensure our IC designs meet systems design budgets and achieve the highest performance. You will work with systems architects, ASIC design, systems engineers, and partner cross-functionally with teams and external vendors/partners.
Responsibilities
Generate precise electrical models (e.g., S-parameters, SPICE models) for components such as packages, PCBs, and connectors for use in simulations.
Simulate high speed interface electrical behavior using HSPICE or other circuit simulators.
Execute lab measurements utilizing test equipment like oscilloscopes, Vector Network Analyzers (VNA), Time Domain Reflectometers (TDR), spectrum analyzers to validate simulation outcomes and debug signal and power-related issues on silicon prototypes and boards.
Establish design rules and guidelines for optimal signal/power integrity during PCB and package layout, ensuring high production yield and reliability.
Document design specifications, analysis results, and validation reports to ensure compliance with standards and for future reference, while collaborating extensively with cross-functional teams, including ASIC architects, digital/analog designers, physical design/layout engineers, and system engineers.

Required Technologist and Foundry Engineer
About the job
Our computational challenges are so big, complex and unique we can't just purchase off-the-shelf hardware, we've got to make it ourselves. Your team designs and builds the hardware, software and networking technologies that power all of our services. As a Hardware Engineer, you design and build the systems that are the heart of the world's largest and most powerful computing infrastructure. You develop from the lowest levels of circuit design to large system design and see those systems all the way through to high volume manufacturing. Your work has the potential to shape the machinery that goes into our cutting-edge data centers affecting millions of users.
As a CMOS Technologist and Foundry Engineer, you'll be part of the growing chip design team. In this role, you'll be responsible for driving CMOS (Complementary Metal Oxide Semiconductor) foundry partners, Intellectual Property (IP), and chip design and implementation teams to perform CMOS transistor scaling and Power/Performance Analysis (PPA), and producing technology roadmap benchmarks. You will also be involved in interfacing and driving our design IP partners.
Responsibilities
Engage with CMOS foundry partners, manage foundry design kits and design library collaterals, and work with our design teams to perform PPA simulations on benchmark circuits.
Work with fab partners on device and circuit level test structures, test chips, and characterization and correlation of silicon data. You will use the results of this work to influence design optimizations.
Work with IP partners, design, and physical design teams to design advanced CMOS.
Work with chip implementation and physical design teams on micro-architecture tradeoffs, support design tool flow bring-up, and address all physical implementation details leading to product tapeout.
Work with our commercial and product teams on Foundry and IP vendor management, track technology roadmaps, and determine appropriate technology and IP integration strategies.

Required Senior Staff DSP Design Engineer, Cloud
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 the architect for high-speed data paths, you will define the roadmap for scaling interconnect speeds. You will evaluate and select key technologies such as Co-Packaged Optics (CPO), advanced modulation formats, and new Forward Error Correction (FEC) methods to support future Artificial Intelligence (AI) computing clusters.
Responsibilities
Identify the "limits of physics" for current Digital Signal Processing (DSP) architectures and pivot the team toward next-generation solutions, such as Machine Learning (ML)-based equalization or Optical-specific DSP.
Define the requirements for DSP test chips to validate new architectures in advanced nodes before they hit production.
Drive the long-term power-reduction roadmap, ensuring our interconnects do not become the thermal bottleneck.
Represent us in the Optical Internetworking Forum (OIF) and Institute of Electrical and Electronics Engineers (IEEE) standards, ensuring our hyperscale requirements for latency and power are reflected in global specifications.

Required SoC Vision Architect, Silicon, 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 SoC Vision Architect in our Silicon team, you will be at the heart of defining the hardware that powers the next-generation of our products. You will bridge the gap between Artificial Intelligence (AI) research and physical silicon, architecting the Image Signal Processor (ISP), CODECS and the pixel data path. You will deliver unparalleled image quality while staying within the tight Power, Performance, and Area (PPA) constraints. You will participate in the concept, architecture, documentation, and implementation of a new product.
Responsibilities
Define a flexible imaging pipeline hardware architecture, from the sensor interface (e.g., Mobile Industry Processor Interface (MIPI)) through the ISP, the encoder/decoder, scaling and memory output.
Partner with our research to transform advanced computational imaging algorithms into high-efficiency hardware logic.
Conduct trade-off analyses between power, performance, and silicon area to meet thermal envelopes and current limitations.
Influence external executive vendor roadmaps, ensuring deep co-optimization between their future products and our custom silicon.
Lead collaboration across Architecture, Register-Transfer Level (RTL), Physical Design and Validation teams.