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we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a talented Senior Design Verification Engineer to help build our local engineering powerhouse from the ground up. This is an exciting opportunity to take on meaningful ownership in a new site, developing the verification environments that ensure our next-generation AI silicon performs flawlessly.
As a Senior Design Verification Engineer, you will be a vital contributor to the quality and reliability of our Israel R&D center. You will work on the front lines of functional verification, developing testbenches and environments that validate high-performance digital blocks, subsystems, and full-chip designs. You will tackle complex verification challenges that ensure our connectivity solutions meet the rigorous demands of the world's largest AI clusters. If you thrive on solving technical puzzles and want to play a key role in delivering cutting-edge AI infrastructure connectivity, this is your opportunity.
Key Responsibilities
Verification Environment Development
Contribute to the design and development of ASIC verification environments, focusing on unit-level and subsystem functional blocks
Develop and maintain SystemVerilog/UVM-based components including traffic generators, monitors, and checkers to ensure robust testing
Execute detailed verification plans for challenging digital designs, ensuring all functional requirements are met and verified
Coverage & Quality Assurance
Implement functional coverage models and analyze results to identify gaps in the verification process
Drive designs toward 100% verification closure through comprehensive test development
Contribute to verification methodology improvements and best practices
Debug & Cross-Functional Collaboration
Work closely with design engineers to identify, root-cause, and resolve complex hardware bugs early in the development cycle
Apply analytical skills and debugging techniques to solve intricate verification challenges
Collaborate effectively in a fast-paced, team-oriented R&D environment.

we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a talented Senior Emulation Engineer to help build our local engineering powerhouse from the ground up. This is an exciting opportunity to take on meaningful ownership in a new site, implementing the emulation strategy for chips that power the world's largest AI clusters.
As an Senior Emulation Engineer, you will be a core technical driver of our Israel R&D center, working at the intersection of hardware and software to ensure our silicon meets extreme quality and performance targets. You will execute end-to-end emulation flows, bridge the gap between RTL and functional validation, and partner with cross-functional teams to enable seamless hardware-software integration. If you thrive on solving complex technical challenges and want to play a key role in validating cutting-edge AI infrastructure connectivity solutions, this is your opportunity.
Key Responsibilities
Emulation Flow Execution & Implementation
Execute end-to-end emulation flow from high-level model generation and RTL synthesis to complex system-level testing and silicon-accurate debugging
Work directly with next-generation emulation platforms (Zebu, Palladium, or Veloce) to implement cutting-edge methodologies
Maintain and evolve emulation flows to reduce compile times and increase execution speed, directly impacting time-to-market
System-Level Debug & Validation
Drive initial model bring-up process in high-stakes environment, identifying and resolving complex bugs
Ensure rapid cycles from RTL to functional stability through systematic debug approaches
Own technical blocks and drive them to completion independently
Cross-Functional Collaboration
Partner with Firmware, Software, and Validation teams to debug complex system-level scenarios
Ensure seamless hardware-software integration for AI infrastructure connectivity
Collaborate with Design and Verification teams to optimize emulation strategies.

- Full technical ownership of assigned product lines across their lifecycle, serving as the senior engineering authority for sustaining activities.
- Lead mechanical design changes in multidisciplinary products to improve quality, reliability, manufacturability, serviceability, and customer experience.
- Drive cost-reduction initiatives (VAVE / Cost Down) through redesign of mechanical and electromechanical assemblies, materials, and manufacturing processes.
- Lead root cause analysis (RCA) and implement corrective and preventive actions (CAPA) for field failures and production issues.
- Provide ongoing engineering support to manufacturing and suppliers, including design optimization, tooling development, and first article inspections (FAI).

we are establishing a strategic R&D center in Israel to drive the development of complex semiconductor chips that solve the critical 'data bottlenecks' enabling the future of AI at scale. As we expand our presence in Israel, we're seeking a highly skilled Chip Top Physical Design Engineer focusing on implementation to join our local engineering powerhouse from the ground up.
If you thrive on solving complex, unnamed challenges in deep-submicron processes, your place is with us.
As a Physical Design Engineer, you will be a key hands-on member of our PD Team in the Israel R&D center. You will execute the physical design of the SoC Top level for chips that drive the worlds largest AI clusters. You will be deeply involved in all PD disciplines of the chip, driving the tape-out (T.O.) GDS to meet strict signoff criteria (Timing, LVS, EMIR, DRC, PV, etc.), ensuring our silicon meets the extreme performance, power, and area (PPA) targets required for AI scale.
Key Responsibilities
Execute SoC Top-level physical design and actively drive full-chip convergence
Perform Top-Level physical implementation, including floor-planning, Place & Route (P&R), Clock Tree Synthesis (CTS), Power/Clock distribution, Power Integrity, and Timing/Physical signoff
Work closely with the Architecture, Design, DFT, and Product teams to achieve optimal Power, Performance, and Area (PPA). This involves participating in feasibility studies for new architectures and optimizing runs to ensure the best Quality of Results (QoR)
Resolve complex signal integrity, thermal, and power challenges inherent in high-speed connectivity silicon
Collaborate closely with the Package team on Bump-map-to-Ballout design, taking all signal integrity aspects into consideration

We are looking for an outstanding Research Team Lead with deep hands-on expertise in large-scale distributed systems, AI framework infrastructure, and performance optimization on custom accelerators. If you are a visionary technical leader, a skilled communicator, and a team builder who thrives at the frontier of systems and AI research - you're welcome on board.
What Will You Be Doing?
Lead and grow a world-class team of researchers and engineers working on distributed AI infrastructure and systems software
Architect and own the software infrastructure enabling distributed training and inference on Huawei's custom accelerator hardware (e.g., Ascend NPU)
Drive research and development on communication libraries, runtime systems, memory management, and graph execution & synchronization at scale
Optimize end-to-end performance across large-scale clusters, covering both scale-up (multi-device) and scale-out (multi-node) configurations
Design and implement high-performance communication backends and collective operations (AllReduce, AllGather, broadcast) for distributed training workloads
Collaborate cross-functionally with hardware architects, compiler teams, and framework engineers to co-design hardware-software solutions
Publish and present research findings at top international venues (NeurIPS, EuroSys, SC, MLSys, OSDI) and represent the team externally
Mentor engineers and researchers, conduct performance and growth reviews, and shape team culture and technical direction
Partner with top academic institutions and open-source communities to advance the state of the art in distributed AI systems