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we're seeking a highly skilled Physical Design Engineer specializing in EMIR & Power Integrity to join our local engineering powerhouse from the ground up.

This is a unique opportunity to take on meaningful technical ownership in a new site, executing the backend power methodologies for chips that power the world's largest AI clusters. As a Physical Design Engineer, you will be a core technical contributor ensuring the power robustness and long-term reliability of our high-performance connectivity silicon.

You will execute the Electro-Migration and IR Drop (EMIR) analysis and sign-off from block level to full-chip, working closely at the intersection of Physical Design, Analog/Mixed-Signal design, and Package Engineering. You will be responsible for validating power grid architectures to ensure our products meet aggressive voltage drop and reliability targets in advanced FinFET process nodes, directly impacting the performance and yield of chips operating in the worlds most demanding AI and cloud environments.

Key Responsibilities

Execute static and dynamic IR drop analysis, signal/power electromigration (EM) verification, and self-heat analysis from the block level through to full-chip sign-off
Implement and maintain robust EMIR flows and methodologies using industry-standard tools (Ansys RedHawk-SC, Cadence Voltus, or equivalent)
Work with Physical Design teams to implement optimal power grid structures, via pillars, and strap distributions to minimize voltage drop while maximizing routing resources
Collaborate closely with Analog/SerDes designers to analyze current profiles and ensure robust power delivery to sensitive high-speed IP blocks
Partner with Package Design engineers to perform Chip-Package-System (CPS) co-analysis, optimizing bump patterns and package routing for superior Power Integrity
Perform root-cause analysis for voltage drop violations and EM risks, proposing and implementing layout fixes alongside the PD team
Verify current density rules for ESD protection networks and ensure compliance with strict foundry reliability constraints
Support silicon bring-up by correlating simulation results with actual silicon measurements and yield data

we're seeking a highly skilled Static Timing Analysis (STA) Engineer to join our local engineering powerhouse from the ground up.

This is a unique opportunity to take on meaningful technical ownership in a new site, executing the sign-off methodology for chips that power the world's most advanced AI clusters. As an STA Engineer, you will be deeply involved in the STA activities from chip partition and time budgeting through to final sign-off. You will bridge the gap between Architecture, Design, DFT, and Physical Design to ensure our high-performance silicon meets the aggressive timing targets required for next-generation connectivity.

Key Responsibilities


Execute the STA flow and sign-off methodologies, ensuring our products meet rigorous timing criteria for the most demanding data center environments
Collaborate closely with Architecture, Design, DFT, and Backend teams, participating in timing reviews and working with block owners to navigate the path to sign-off convergence
Develop, optimize, and manage complex SDC constraints, ensuring they are accurate and robust across multi-scenario environments
Analyze and resolve challenges related to cross-chip clock distribution networks and apply sophisticated margining techniques to ensure robust silicon across all process corners
Participate in design methodology improvements and tool automation, utilizing both industry-standard EDA tools and custom scripts to make our sign-off process faster and more efficient

As a Staff Physical STA Expert , you will hold the keys to silicon success. You will be leading the STA activities end-to-end from Chip partition, Time budgeting through signoff of all the chips we develop. You will build and lead the STA team to run several chips signoffs in parallel. In addition, You will define the sign-off methodology for chips that power the worlds most advanced AI clusters. You will act as the central nervous system of the design process, bridging the gap between Architecture, Design, DFT, and Physical Design to ensure our high-performance silicon meets the aggressive timing targets required for next-generation connectivity.

Key Responsibilities

Take full ownership of the STA flow and sign-off methodologies. You will establish the rigorous criteria that ensure our products succeed in the most demanding data center environments
Collaborate closely with Architecture, Design, DFT, and Backend teams. You will lead timing reviews and work closely with block owners to navigate the path to sign-off convergence
Develop, optimize, and manage complex SDC constraints from the ground up, ensuring they are robust across multi-scenario environments
Tackle the challenges of cross-chip clock distribution networks and sophisticated margining techniques, ensuring robust silicon across all process corners
Have a passion for better workflows? Youll participate in design methodology improvements and tool automation, utilizing both industry-standard EDA tools and in-house automation to make our sign-off process faster and smarter

we're seeking a visionary Formal Verification Engineer to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, defining the formal verification strategy for chips that power the world's largest AI clusters.

As the Formal Verification Engineer, you will be a foundational member of our Israel R&D center. You wont just execute tasks; you will define the Formal verification strategy for chips that drive the worlds largest AI clusters. You will dive deep into the technical details, proving the correctness of complex designs and ensuring they flawlessly meet specifications.

Key Responsibilities

Own and develop formal verification environments from scratch through to sign-off
Apply formal verification methodologies and strategies to prove the correctness of intricate designs
Work closely with the Architecture, Design, and DV teams to identify verification needs and pinpoint design requirements
Create robust formal environments, analyze complex RTL designs, and apply advanced formal techniques to find corner-case bugs
Analyze verification results, identify failures, and collaborate directly with designers to resolve issues efficiently
Architect and develop generic, common formal functions and properties to be reused across multiple projects

seeking a skilled and motivated Data Scientist. This individual will play a pivotal role in identifying key data points for collection, developing strategies to accumulate data and deriving actionable insights an anomaly based on a solid foundation of relevant know-how. Also, will also be responsible for creating, testing, and deploying scripts and methods for data collection and analysis to support decision-making. The Engineer will collaborate with cross-functional teams to identify critical data sources to determine the most effective data collection strategies, will develop automated and scalable data collection pipelines, will ensure data quality, integrity, and consistency across all sources and may use AI techniques to refine the results toward failures predictions.

We are seeking a capable and experienced Algorithm engineer to join our R&D team. The engineer will be part of a team responsible for the core autonomy parts of the product responsible for developing the foundational algorithms that guide our autonomous vehicles. This role is a part of the group that oversees Motion Planning, Decision-Making, Localization, and Control, blending traditional robotics with state-of-the-art AI to solve the most challenging problems in autonomous driving. This is an opportunity to architect and deliver the core autonomy stack for a scalable, mapless L3-L4 system. You will work on cutting-edge algorithms, including Agentic AI and large-scale models, and see your innovations deployed on public roads in our global fleet of cars and buses. Responsibilities Be part of the development of four key domains: Motion Planning and Decision-Making: Oversee the trajectory planner and the decision-making module that sets the context for vehicle behavior. Localization: Guide the development of high-frequency, high-accuracy vehicle state estimation using advanced sensor fusion algorithms. Control: Supervise the design and implementation of the vehicle's lateral and longitudinal controllers. Drive innovation by integrating state-of-the-art (SOTA) methodologies, including Agentic AI, vision language models (VLMs), transformers, multi-agent prediction, trajectory optimization, uncertainty management, and safety-aware algorithms.
* Be part of a group involving multiple engineers, from initial research and prototyping to robust deployment and validation.
* Be part of a group in charge of complex data pipelines, from collection and annotation to model training and evaluation.

A leading technology company developing advanced multidisciplinary systems is looking for a QA Engineer to join its team.
The role involves hands-on testing of complex systems combining software and hardware, including TEST planning, execution, and documentation. Responsibilities:
Execute manual tests on Embedded systems, including GUI and hardware interfaces
Write TEST documents, TEST cases, and release notes
Manage defects and change requests throughout the development lifecycle
Perform testing in hardware-integrated environments (JIGs, cables, and measurement devices)
Support Quality Assurance processes and continuous product improvement

Define the AI core architecture that will shape the next generation of AI chips, leading the global competition in AI computing power. As a key contributor to the competitiveness of AI core architecture, we drive chip architecture innovation starting from algorithm evolution, building a full-stack closed-loop capability of "algorithm-architecture-circuit-system," and creating a globally leading, independently controllable AI accelerator core to support the Ascend AI ecosystem and the implementation of large model strategies.
Responsibilities:
Modeling of HW specification of new architecture and microarchitecture. Working closely with architect and microarchitecture on modeling the specification.

We are currently looking for a Performance Simulation Expert develop and evaluate next generation performance features as well as develop the future generation of our Compute system simulation infrastructure, models and analysis tools
Responsibilities:
Develop and analyze performance and power features in our cycle accurate pre-silicon model and improve the accuracy of the current Server system simulator
Design the architecture of the new generation system simulation platform that will be used to analyze performance of Server (Compute and AI) workloads and identify performance bottlenecks
Develop new technologies, methodologies and tools for simulation. Analysis and debug of applications and workload on Huawei servers
Propose and simulate optimizations and innovations on the HW and SW in order to improve server performance for given workloads
Distribute the simulation platform, train and support other teams in China and in Europe using the simulation platform, technology and methodology.