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04/08/2026
Location: Yokne`am and Tel Aviv-Yafo
Job Type: Full Time
We are looking for a passionate and experienced software developer to join our Chip Design Technologies group, helping to build the software infrastructure and tools that shape the future of Chip Design and Verification. This role works at the intersection of infrastructure engineering, tooling, and database ownership. Youll be responsible for the backbone systems that enable the development of our industry-leading networking chips - the highway for the AI revolution.

We're looking for a senior hands-on engineer who combines deep expertise in Python automation and CI/CD data flows with a passion for large-scale compute environments. If youre excited about optimizing critical systems, owning the health of compute farms, and driving reliability across cross-functional teams, youll feel right at home here.

What youll be doing:

Partner with Chip Design teams to solve engineering bottlenecks: Collaborate closely with Design, Verification, and Methodology teams to identify workflow pain points and deliver infrastructure solutions that directly improve chip design productivity and quality.

Build automation infrastructure: Design, build, and maintain robust Python-based automation infrastructure that orchestrates chip design flows, monitoring, and infrastructure tooling.

Drive the compute infrastructure scalability, integrity and performance

Own the platform health: Take ownership of the day-to-day health, capacity, and reliability of our compute farm and storage systems. This includes leading incident response, triage, and implementing long-term fixes to ensure high availability.
Requirements:
What we need to see:

B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related field.

5+ years of experience in Python infrastructure engineering, specifically focused on automation or tooling for Linux-based compute and storage systems.

Strong DevOps/automation development expertise

Solid Linux systems fundamentals (processes, networking, filesystems), with a comfort level managing NFS, permissions, and quotas.

Proven incident response capabilities and a track record of owning critical systems with high availability requirements.


Ways to stand out from the crowd:

Familiarity with hardware verification workflows and the specific compute/storage demands of the semiconductor industry.

Hands-on experience with large-scale infrastructure and databases (metrics, logs, tracing) and alert tuning.

Exposure to building and maintaining REST services for internal tooling, service accounts, and secrets management.

Proven ability to identify efficiency gaps in infrastructure workflows and deliver impactful automation improvements.
This position is open to all candidates.
 
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04/08/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Network Solution Verification Manager to join our R&D organization, leading the validation of our customer-facing networking solutions at scale using a state-of-the-art End-to-End (E2E) simulation cluster environment.

In this role, you will build and lead a team of validation engineers, owning the strategy, methodology, and execution of simulation-based validation frameworks that ensure our networking solutions meet the highest standards of quality, scale, and real-world applicability before reaching customers.


What you'll be doing:
Leading and managing a team of network validation engineers responsible for end-to-end validation of our customer-facing networking solutions at scale, using a dedicated E2E simulation cluster environment.
Defining the overall validation strategy and roadmap - establishing simulation methodologies, test coverage frameworks, and quality gates that align with product milestones and customer use cases.
Pioneering the use of agentic AI flows within the validation organization - leading the team to design, build, and operate AI-driven agents capable of autonomously performing regression analysis, identifying coverage gaps, generating new test cases, and implementing validation code. These agentic workflows will continuously learn from simulation results and product changes, dramatically accelerating the team's ability to scale test coverage and respond to emerging quality signals without manual intervention.
Overseeing the design and continuous improvement of automated regression suites for networking protocols and large-scale simulation runs, ensuring scalable, repeatable, and high-confidence validation outcomes.
Establishing a rigorous regression analysis culture - guiding the team in identifying trends, root causes, and systemic coverage gaps, and ensuring timely resolution in collaboration with engineering stakeholders.
Serving as the primary validation partner to Design, Architecture, and NCS teams - translating solution requirements into simulation scenarios, providing early-cycle quality feedback, and influencing product direction.
Analyzing customer-reported networking solution issues, driving test gap analysis, and ensuring robust regression coverage that prevents recurrence.
Staying current with emerging networking standards, simulation technologies, and industry best practices to continuously evolve the team's validation capabilities.
דרישות:
What we need to see:
B.Sc. degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
3+ years of experience in a leadership or management role, leading software or hardware validation/test engineering teams.
7+ years of overall experience in network validation, network testing, or systems verification.
Proven track record of building and executing test automation strategies for network or distributed systems at scale, with hands-on background in Python-based automation.
Strong understanding of regression analysis methodologies - ability to drive actionable conclusions from large-scale test result datasets and translate them into engineering improvements.
Demonstrated ability to collaborate cross-functionally with architecture, design, and product teams in a fast-paced, multi-timezone environment.
Strong verbal and written communication skills, with experience presenting validation strategies and quality metrics to senior leadership.


Ways to stand out from the crowd:
Deep understanding of networking protocols and architectures (e.g., BGP, EVPN, VXLAN, RDMA/RoCE, Ethernet, IP routing, L2/L3 switching).
Experience with network simulation or emulation environments (e.g., Containerlab, GNS3, SONiC testbeds, or equivalent platforms) and the ability to guide teams in leveraging them effectively.
Experience managing validation of data center networking solutions or hyperscale network environments (spine-leaf, fat-tree, or Clos top#EN המשרה מיועדת לנשים ולגברים כאחד.
 
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09/08/2026
Location: Yokne`am
Job Type: Full Time
Our System Product Engineering team is looking for a QA Engineer to join us and help validate the software infrastructure used by multiple teams across the organizations. This role focuses on testing internal tools, backend services, workflows, automation, and the systems that support our validation processes. You will work closely with developers, infra teams, and validation engineers to ensure that our internal software is stable, reliable, and easy to use. You will contribute to building robust test coverage, improving automation, analyzing logs and test results, and driving quality throughout the development cycle.

What youll be doing:

Plan, execute, and analyze functional, integration, and regression tests for internal infrastructure software.

Develop and maintain automated test cases and test flows.

Validate backend services, data pipelines, web tools, and internal workflows.

Investigate failures, collect logs, reproduce issues, and work with developers to identify root causes.

Review and validate new features before release, ensuring they meet quality and usability expectations.

Support CI/CD flows by monitoring automated tests and contributing to improvements.

Document test scenarios, edge cases, and validation coverage.

Provide continuous feedback to developers and infra teams to improve quality and reliability.
Requirements:
What we need to see:

Bachelors degree in Computer Science, Software Engineering, Information Systems, or equivalent practical experience.

5+ years of experience in QA, software testing, or validation engineering.

Experience with test automation.

Familiarity with web-based systems, REST APIs, and backend workflows.

Strong analytical and debugging skills (logs, exceptions, environment reproduction, etc.).

Good understanding of Linux environments.

Experience with Git or other version-control systems.

Ability to work independently and collaborate in a cross-functional environment.


Ways to stand out from the crowd:

Experience testing backend services, internal tools, or infrastructure software.

Hands-on experience with Django, React, or similar frameworks (reading code/understanding flows).

Background working with CI/CD pipelines.

Experience validating log parsing, reporting flows, or automation frameworks.

Ability to design comprehensive validation coverage for complex systems.
This position is open to all candidates.
 
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09/08/2026
Location: Yokne`am
Job Type: Full Time
We are seeking an experienced Senior Software Engineer to join our NIC Firmware Core team, with a special emphasis on simulation for network adaptors and verification infrastructure. Youll be part of a forward-thinking team dedicated to advancing the tools and frameworks that are used to develop the cutting-edge networking adapter technologies. Your role will be to drive the success of NVIDIA's current and upcoming networking devices by working across various platforms, including C++ object-oriented simulation, verification frameworks and C layer interfacing hardware and firmware.

What Youll Be Doing:

Develop a network adapter simulator that will be used for both development and testing of pre-silicon networking features.

Take part in implementing and assimilating frameworks for Design and Verification both for real-time and simulator environments.

Addressing and solving automation and performance challenges.

Collaborate with chip design, software, and architecture teams to define and craft legacy and new firmware flows.
Requirements:
What we need to see:

B.Sc./M.Sc. in Computer Science or Computer Engineering.

5+ years of proven experience with verification and testing methodologies.

Good understanding of the Linux operating system and computer structure.

Solid knowledge in C++ and Object-Oriented Programming.

Strong multi-disciplinary capabilities and ability to work with wide entities - chip design, verification, FW, SW, and architecture.

Ability to lead feature development and take full ownership of tasks from A to Z.

Outstanding teammate, strong interpersonal skills, and self-learning ability.


Ways to stand out from the crowd:

Experience in simulator development for real-time systems.

Background in Embedded C programming.

Knowledge in networking protocols and scripting languages.

Strong interests towards groundbreaking technologies and ability to take initiatives and drive them across multiple functional teams.
This position is open to all candidates.
 
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04/08/2026
חברה חסויה
Location: Yokne`am
Job Type: Full Time
Our team is looking for a Senior DevOps Engineer to join us and take ownership of the CI/CD infrastructure, automation pipelines, and development tooling that power our engineering teams. This position plays a key role in enabling fast, reliable, and scalable software delivery - from code commit to test execution and reporting. You will be the go-to expert for DevOps practices, collaborating closely with software engineers, validation teams, and infrastructure stakeholders across the organization.

What You'll Be Doing:

Design, implement, and maintain CI/CD pipelines for software and validation projects, ensuring fast, stable, and automated delivery workflows.

Own and evolve the DevOps infrastructure - including build systems, artifact management, deployment automation, and environment provisioning.

Develop and maintain automation tools, scripts, and integrations that streamline developer workflows and reduce manual overhead.

Collaborate with validation, infrastructure, and software engineering teams to define and enforce DevOps best practices across the organization.

Monitor system health, pipeline reliability, and build performance; identify bottlenecks and continuously improve observability and stability.

Manage containerization and orchestration solutions (Docker, Kubernetes) for test environments and internal services.

Support the integration of automated testing frameworks into CI/CD flows, ensuring test coverage and results are tracked and visible.

Evaluate and introduce new DevOps tooling and methodologies to keep the team at the forefront of engineering efficiency.
Requirements:
What We Need to See:

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.

8+ years of hands-on experience in DevOps, platform engineering, or software infrastructure roles.

Strong proficiency in CI/CD tools with hands-on experience in GitLab CI/CD pipelines; familiarity with Jenkins, GitHub Actions, or equivalent is a plus.

Experience with containerization and orchestration - Docker, Kubernetes.

Solid scripting and automation skills - Python, Bash, and/or similar.

Familiarity with infrastructure-as-code tools (Terraform, Ansible, or similar).

Deep familiarity with Linux environments and system administration.

Experience with version control systems (Git) and branching strategies.

Strong debugging, problem-solving, and root-cause analysis skills.


Ways to Stand Out from the Crowd:

Experience building and scaling DevOps infrastructure for hardware validation or embedded systems environments.

Background working with test execution frameworks and integrating them into CI/CD pipelines.

Experience with monitoring and observability tools (Prometheus, Grafana, ELK Stack, or similar).

Knowledge of cloud platforms (AWS, GCP, Azure) or on-premise HPC environments.

Experience integrating AI/ML workflows and AI agent pipelines into CI/CD flows, including model versioning, automated testing, and deployment automation for AI-driven systems.
This position is open to all candidates.
 
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09/08/2026
Location: Yokne`am
Job Type: Full Time
We are looking for a best-in-class Senior Full-Chip Verification Engineer with a strong infrastructure mindset to join our Networking Silicon team. In this role, you will be responsible for the development and verification of our next-generation NICs at the system level, while also driving the evolution of the simulation infrastructure powering our verification flows. You will contribute to the architecture of high-speed communication devices by driving full-chip verification execution for the networking solutions powering the world's most advanced data centers, in a meaningful, growing environment where you make a huge impact in a technology-focused company.

What you'll be doing:

Simulation Infrastructure & Acceleration: Identify bottlenecks in the verification flow and engineer creative solutions - building frameworks, optimizing regressions, and accelerating simulation throughput through innovative tooling.

Multi-Language Development: Work across a diverse technology stack (SystemVerilog/UVM, Specman, Python, C/C++, scripting) - writing code and solving problems at every layer, from RTL testbenches to infrastructure utilities and automation.

System-Level Debug & Analysis: Gain a strong understanding of chip micro-architecture and features, investigate, debug, and resolve cross-block issues to guarantee feature correctness and compliance.

AI-Enhanced Development: Accelerate development by leveraging cutting-edge AI coding tools and frameworks - applied to both verification and infrastructure challenges.

Cross-Team Collaboration: Work closely with multiple teams within organizations such as Architecture, u-arch, Firmware and all units inside the NIC.
Requirements:
What we need to see:

Electrical Engineering B.Sc. or Computer Engineering B.Sc. graduate with high scores or equivalent experience.

8+ years of experience in verification, HW simulation, or infrastructure development for silicon projects.

Infrastructure mindset - a proven ability to enhance and scale the systems that drive verification: regression frameworks, simulation performance, tooling, and flow automation.

Creativity and proactivity - an innovation mindset with a proactive approach to adopting new methodologies and coding tools to solve complex challenges.

Strong debugging, problem-solving, and analytical skills.

A team player with good communication and interpersonal skills.


Ways to stand out:

Experience leveraging AI tools for verification automation or infrastructure acceleration.

Experience working in multi-language environments.
This position is open to all candidates.
 
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05/08/2026
חברה חסויה
Location: Yokne`am
Job Type: Full Time
We are seeking a highly skilled Senior Performance Engineer to join our Performance and R&D organizations. In this role, you will help build and evolve systems that support performance analysis, telemetry, and optimization for large-scale GPU- and CPU-based clusters used in AI and high-performance computing environments. You will work closely with hardware, networking, firmware, and software teams to collect, analyze, and interpret performance data from live systems. This is a fast-paced R&D environment where system behavior and requirements evolve rapidly, requiring adaptable engineering solutions and strong analytical thinking.

What youll be doing:

Profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters.

Explore performance characteristics of high-performance networking and collective communications (e.g., NCCL, RDMA, MPI, RoCE).

Identify performance bottlenecks across networking, compute, memory, and system architecture.

Develop and enhance performance analysis, benchmarking, and diagnostic tools.

Define performance test plans and establish expectations for new technologies and platforms.

Collaborate across hardware, firmware, networking, systems, and software teams to provide actionable performance insights.

Support telemetry collection and data refinement efforts to enable accurate performance analysis.

Maintain high standards for data quality, reproducibility, and traceability of performance results.
Requirements:
What we need to see:

B.Sc. or M.Sc. in Computer Science, Computer Engineering, Software Engineering, or equivalent experience.

5+ years of experience in performance analysis, systems engineering, or HPC/AI infrastructure.

Demonstrated expertise in performance analysis skills and methodologies.

Hands-on experience with high-performance networking (RDMA, MPI, NCCL, congestion control).

Strong understanding of system performance metrics (latency, throughput, resource utilization).

Exposure to hardware, firmware, or embedded telemetry environments.

Strong analytical, problem-solving, and communication skills.

Ability to work effectively in cross-functional, fast-paced R&D teams.


Ways to stand out from the crowd:

Knowledge of CUDA, NCCL internals, and congestion control algorithms.

Deep system-level understanding of CPU architectures, GPUs, HCAs, memory, and PCIe.

Experience with NVIDIA GPUs, CUDA, and deep learning frameworks such as PyTorch or TensorFlow.

Experience with cloud platforms.

Proficiency in Python; experience with Bash and C/C++ is a plus as well as a strong experience working in Linux environments.
This position is open to all candidates.
 
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04/08/2026
Location: Tel Aviv-Yafo and Yokne`am
Job Type: Full Time
We are seeking a Network Solution Verification Engineer to join our R&D organization, focused on validating our customer-facing networking solutions at scale using a state-of-the-art End-to-End (E2E) simulation cluster environment.

In this role, you will be a hands-on technical contributor at the intersection of networking, automation, and AI-driven validation - designing and implementing the simulation frameworks, agentic workflows, and regression pipelines that ensure our networking solutions meet the highest standards of quality and real-world applicability before reaching customers.


What you'll be doing:
Designing and implementing end-to-end validation frameworks for our customer-facing networking solutions at scale, leveraging a dedicated E2E simulation cluster environment.
Writing, maintaining, and extending automated test suites and regression pipelines for networking protocols and large-scale simulation runs, ensuring repeatable, high-confidence validation outcomes.
Performing deep regression analysis on simulation results - identifying failure trends, isolating root causes, and delivering clear, actionable findings to architecture and design teams.
Developing agentic AI flows that autonomously perform regression analysis, detect coverage gaps, generate new test cases, and implement validation code - continuously learning from simulation results and product changes to accelerate coverage without manual intervention.
Integrating validation pipelines into CI/CD workflows to enable continuous, automated regression at scale, working closely with DevOps and platform teams.
Collaborating closely with Design, Architecture, and NCS teams to understand solution requirements, translate them into simulation scenarios, and provide early-cycle quality feedback that influences product direction.
Analyzing customer-reported networking issues, mapping them to simulation coverage gaps, and building targeted test cases that prevent regression.
Continuously exploring new simulation technologies, agentic frameworks, and networking standards to evolve and improve the team's validation methodology.
Requirements:
What we need to see:
B.Sc. degree or equivalent experience in Computer Science, Electrical Engineering, Computer Engineering, or a related field.
3+ years of hands-on experience as a software developer.
Strong proficiency in Python for test automation, tooling development, and pipeline implementation.
Hands-on experience with network simulation or emulation tools (e.g., Containerlab, GNS3, SONiC testbeds, or equivalent platforms).
Proven experience designing and building simulation agents or traffic generators that mimic real-world networking behavior at scale.
Solid experience with agentic AI frameworks and LLM-based automation (e.g., LangChain, LangGraph, AutoGen, or similar) and practical ability to apply them to validation and test generation workflows.
Strong command of regression analysis methodologies - able to triage, classify, and extract actionable conclusions from large-scale test result datasets.
Comfortable operating in a fast-paced, cross-functional, multi-timezone engineering environment with strong verbal and written communication skills.

Ways to stand out from the crowd:
Hands-on experience validating data center networking solutions or hyperscale network environments (spine-leaf, fat-tree, or Clos topologies).
Familiarity with our networking products - BlueField DPUs, ConnectX NICs, Spectrum switches, or the DOCA software stack.
Deep understanding of networking protocols and architectures (e.g., BGP, EVPN, VXLAN, RDMA/RoCE, Ethernet, IP routing, L2/L3 switching).
Hands-on experience building agentic pipelines for automated test generation, result triage, or validation code synthesis - including prompt engineering and tool-use patterns for LLM agents.
This position is open to all candidates.
 
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02/08/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Senior Infrastructure Engineer who views "Infrastructure as Software." In 2026, we dont just manage servers; we build high-performance environments that allow multi-agent systems to operate at scale.
You will be a core member of the R&D team, blending deep DevOps expertise with the coding rigor of a Backend Engineer. You arent just "configuring" AWS; you are architecting the distributed systems and data pipelines that power our autonomous security brain. Your mission is to ensure that while our agents are evolving and taking actions, our underlying platform remains immutable, observable, and infinitely scalable.
What You'll Do
Design, build, and operate our company's cloud infrastructure using AWS, Kubernetes, and Infrastructure as Code.
Build internal tools and platform services using Python and Go to improve developer productivity and system reliability.
Own infrastructure automation with Terraform, Pulumi, and modern cloud-native tooling.
Partner closely with Backend, Data Science, and Security Engineering teams to build scalable, reliable platforms.
Improve observability, monitoring, and incident response across distributed production systems.
Design and optimize infrastructure for performance, scalability, security, and cost efficiency.
Help shape engineering best practices, platform architecture, and developer experience as our company continues to grow.
Requirements:
5+ years of experience in Infrastructure, DevOps, Platform Engineering, or Backend Engineering.
Strong software engineering skills with hands-on experience building production systems in Python or Go.
Deep hands-on experience with AWS, including services such as EKS, RDS, VPC, and IAM.
Strong experience designing, operating, and scaling production Kubernetes environments.
Experience with Infrastructure as Code, CI/CD, GitOps, and modern cloud-native development practices.
A systems mindset with the ability to solve architectural challenges across infrastructure and application layers.
Comfortable using modern AI-powered developer tools and agentic workflows to improve engineering productivity.
The company Mindset: You take ownership, act with accountability, collaborate openly, and focus on delivering meaningful impact. You thrive in fast-moving environments, embrace ambiguity, and enjoy solving hard problems together.
Bachelor's degree in Computer Science, Software Engineering, or equivalent practical experience.
Full professional fluency (written and verbal) in both Hebrew and English.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are seeking a Staff Systems Software Engineer to design and build the foundational infrastructure that powers products used by billions of people worldwide. In this role, you will architect and implement large-scale distributed systems, low-level platform components, and high-performance services that underpin our core product stack. You will drive technical strategy across system reliability, performance, and scalability, partnering closely with product, infrastructure, and data engineering teams to deliver systems that operate at global scale with high availability and efficiency.
Software Engineer, Systems Responsibilities
Architect and implement large-scale distributed systems and platform services that support high-throughput, low-latency workloads across our product infrastructure
Lead the technical design of systems components including storage layers, compute pipelines, networking abstractions, and service orchestration frameworks
Identify and resolve systemic performance bottlenecks through instrumentation, profiling, and targeted optimization across the full systems stack
Define and enforce service level objectives for owned systems, building dashboards, alerting pipelines, and runbooks to reduce mean time to mitigation during incidents
Drive reliability improvements by reducing failure surface, designing resilient rollout strategies, and leading regular resiliency and overload testing exercises
Collaborate with cross-functional partners across product engineering, infrastructure, and data science to align system architecture with evolving product and business requirements
Establish and evolve coding standards, architectural patterns, and engineering best practices for systems development across the broader organization
Leverage AI-assisted development workflows to accelerate design iteration, code generation, and systems analysis, applying sound judgment on when to rely on AI versus deep systems expertise
Mentor other engineers on systems design principles, debugging methodologies, and production operations, and contribute to onboarding programs for new team members
Lead incident retrospectives, identify root causes of complex production failures, and drive implementation of systemic improvements to prevent recurrence
Requirements:
Minimum Qualifications
8+ years of experience designing and implementing large-scale distributed systems, platform infrastructure, or systems software in production environments
Experience leading major technical initiatives end-to-end, including architecture design, cross-team coordination, staged rollout, and post-launch reliability ownership
Experience debugging complex, non-reproducible systems issues including concurrency bugs, memory management failures, and distributed consistency problems
Experience defining service level objectives, building observability infrastructure, and driving reliability improvements across production systems
Experience communicating technical architecture decisions and trade-offs in writing to both engineering and non-engineering stakeholders
Preferred Qualifications
Experience with systems programming languages such as C, C++, or Rust in the context of high-performance or low-latency infrastructure
Experience building or improving developer tooling, automation frameworks, or internal platforms that measurably improve engineering efficiency across teams
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews).
This position is open to all candidates.
 
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09/08/2026
חברה חסויה
Location: More than one
Job Type: Full Time
The System-On-Chip (SOC) group is looking for a strong RTL Design Engineer to own the SOC clocking logic for our next-generation networking chips. Clocks are the backbone of the SOC. In this role you will own the clock generation, distribution, and control logic for the entire chip - PLL and reference clock integration, clock muxing and dividers, glitchless switching, clock gating, reset synchronization, and the clock domain crossing infrastructure that every unit on the die depends on.

This is an RTL design role, not a circuit or transistor-level design role. You will translate micro-architecture specifications into high-quality synthesizable RTL, and drive that RTL through to silicon in close partnership with the micro-architecture, Design Verification, and Physical Design (backend) teams. You will also interact with CAD, Package Design, Software, and DFT teams.

What you'll be doing:

Owning the SOC clocking logic end to end: writing synthesizable Verilog/SystemVerilog RTL for clock generation, distribution, muxing, division, glitchless switching, gating, and reset synchronization, from micro-architecture specification through tape-out.

Defining and implementing the SOC clock and reset architecture together with the micro-architecture team - collecting clocking requirements from every unit on the chip and turning them into a coherent, verifiable design.

Owning clock domain crossing infrastructure and CDC closure across the SOC.

Partnering with the micro-architecture team to review specifications, close on design intent, and provide feedback on implementation cost, timing, area, and power.

Working hand-in-hand with the Physical Design (backend) team on clock tree implementation and constraints, partitioning, floorplan and timing feedback, trial synthesis, congestion and timing convergence, and physical design readiness.

Supporting Software and firmware teams on clock programming sequences, DVFS, and low-power/clock-shutdown flows.

Driving design quality: lint, CDC/RDC, formal checks, synthesis QoR, connectivity and structural checks.

Supporting SOC-level chip build and assembly, and developing/deploying automation flows that make RTL integration and design quality checking repeatable and scalable.

Supporting emulation, firmware, and post-silicon bring-up customers of your design.
Requirements:
What we need to see:

B.Sc./M.Sc. in Electrical Engineering or Computer Engineering.

3+ years of relevant experience in RTL/logic design.

Solid hands-on RTL design skills in Verilog/SystemVerilog, with a good understanding of synthesis, timing, and how RTL choices affect the physical implementation.

Experience taking a design from micro-architecture specification through verification and physical implementation.

Solid understanding of clocking and reset concepts: clock gating, clock muxing and dividers, glitchless clock switching, reset synchronization, and clock domain crossing.

Familiarity with design quality tooling (lint, CDC/RDC, formal, synthesis).

Great teammate with strong communication skills across micro-architecture, DV, and backend teams.


Ways to stand out from the crowd:

Passion for quality, and a track record of clean deliveries to physical design, DV, emulation, firmware, and other downstream customers.

Prior ownership of SOC-level clocking or reset architecture on a taped-out chip.

Experience with PLL/clock generator integration and clock tree constraint development with backend teams.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
8773460
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