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We are looking for an excellent DevOps engineer to join the Switch and Firmware DevOps team and make a wide impact on the company products and teams worldwide. The role includes the development of cutting-edge design automation tools, build systems, and continuous integration systems. With your help, our supportive and friendly team will be able to focus on more exciting programming tasks, better serving the needs of our customers through new and improved CI processes. We work in a dynamic environment where multiple projects will be active at once and priorities may shift frequently.

We are looking for hardworking engineers who arent afraid of taking up new technologies, processes, and tools to make constant improvement in the automation infrastructure. The engineer will collaborate closely with our software developers as well as performance analysts to build and improve the world-class automation infrastructure.

What youll be doing:

Develop and support CI processes of various products.

Coordinate with various teams across the globe to promote and improve CI practices.

Build infrastructure for effective, high-quality development and release efforts.

Be a part of an experienced team with a great atmosphere.

We are building the software foundation for the next generation of AI infrastructure. As AI workloads continue to evolve, Kubernetes and the cloud-native ecosystem must evolve with them.

Our teams mission is to make Kubernetes the best platform for AI workloads. We work upstream with the Kubernetes and CNCF communities to design new APIs, build production-grade implementations, and shape the future of cloud-native infrastructure for AI.

As a Senior Software Engineer, you'll tackle the most challenging problems at the intersection of Kubernetes, distributed systems, and AI infrastructure.


What you'll be doing:

Design, implement, and upstream new capabilities for Kubernetes and CNCF projects.

Collaborate with engineering teams across us to identify AI infrastructure challenges and solve them through upstream innovation.

Work closely with Kubernetes SIGs, Working Groups, and the broader open-source community to design and implement new capabilities.

Participate in architecture discussions, API design, technical proposals, and code reviews.

Build reliable, scalable infrastructure software for next-generation AI workloads.

Write clear technical documentation and design proposals.

We are seeking an experienced QA Specialist to join our ITPE (Interconnect Product Engineering) Test/Software Development team. This position will be part of our growing team, which develops testing frameworks, core test infrastructure, and engineering tools for optical transceivers and next-generation interconnect our products. We develop a collaborative and inclusive work environment, where ideas are shared and innovation is encouraged. As a Senior QA Specialist in this group, you will own the quality of the frameworks, core libraries, and tools our developers build, ensuring they are stable, reliable, and production ready. The ideal candidate should bring a robust understanding of the SW development lifecycle and the QA role within it.

What youll be doing:
Define and own QA strategy, test plans, and quality standards for testing platforms, essential libraries, and utilities.
Build and maintain automated test pipelines; integrate quality gates into CI/CD workflows.
Maintain regression suites that catch breakages as frameworks evolve.
Develop test fixtures, mocks, and simulators for testing code in isolation.
Track quality metrics and generate summary reports of testing activities.
Collaborate with teams across ITPE including NPI, MP, data intelligence, and R&D.

Are you passionate about systems programming at the intersection of hardware and software? Do you want your code to directly accelerate the world's largest AI training and inference workloads? The Elastic Fabric Adapter (EFA) Drivers team is looking for Software Development Engineers to design and implement the kernel drivers and userspace libraries that power high-performance networking for AWS's AI/ML and HPC infrastructure.

EFA is the custom network interface that enables thousands of GPUs and accelerators to communicate at near-wire-speed bandwidth and low latency, making it a critical enabler of both foundation model training and real-time inference serving at unprecedented scale. When customers train the next generation of large language models or serve billions of inference requests with tight latency SLAs on our EC2 P5, P6, or Trn instances, it's our driver stack that moves the data.

Key job responsibilities
- Design, develop, and optimize Linux kernel drivers (RDMA/EFA) and userspace provider libraries (rdma-core) that ship to millions of EC2 instances.
- Work directly with custom hardware - collaborate with chip designers to bring new silicon capabilities to life in software.
- Contribute to the upstream Linux kernel RDMA subsystem and rdma-core open-source project.
- Architect solutions for next-generation networking features: GPU-direct RDMA, adaptive routing, collective offloads, and multi-path transport.
- Build monitoring and automation tools to enhance driver testing for functionality, reliability, and performance.
- Own the full lifecycle: from initial hardware bring-up and feature enablement through testing, deployment, and production troubleshooting across the global AWS fleet.

We are looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture.
Take part in the development of state-of-the-art products within a disruptive system architecture. You will have the opportunity to work on the technologies that power the world's largest cloud provider, in a dynamic, open, and fast-paced environment.

We are looking for talented engineers to join our Chip Design team, working on the Graviton product line. Our chip design team is in charge of defining the product's features and working on their architecture and development. Our team members collaborate with multiple teams from different disciplines such as product definition, pre and post silicon validation, physical design, software and others contributing to a full cycle of chip development from idea to mass production. Your design will be integrated into the Graviton products, an important part of the AWS data centers worldwide. This is an opportunity to have a large-scale impact.

Key job responsibilities
Own a domain or sub-domain within an SoC - Take full responsibility for its entire lifecycle: Architecture and micro-architecture definition Writing RTL code in Verilog. Supporting the Verification and Emulation teams with test planning, debug, and results review Ensuring the final chip meets quality and reliability standards Collaborating with cross-functional teams - Partner with Product Definition, Verification, Emulation, Software, and Silicon Integration teams to deliver cohesive solutions.

Our Advanced Development Network Engineer role in Israel offers a special chance to contribute to large-scale network simulations for innovative AI datacenter research and development. You will be part of a dynamic team that values creativity and collaboration. If you are enthusiastic about technology and eager to build a significant difference, this is the place for you!


What you'll be doing:

Developing a brand new digital twin powered by CUDA technology for advanced research on data centers.

Collaborating with a team of extraordinary engineers and researchers to develop and implement innovative solutions.

Partnering with diverse teams to ensure smooth integration and deployment of network solutions.

Continuously exploring new technologies and methodologies to improve our network capabilities.

We are excited to welcome a creative and independent Software Engineer for tools, infrastructure, and workflows development for the Integrated Circuit (IC) test and product engineering group in our Networking Business Unit. Our Networking Business Unit has continuously reinvented itself over two decades. Our high-speed buses & network products are leading in the markets with innovative ways to improve speed and bandwidth from one generation to another and today we are known as the go-to place for End-to-End High-Speed Ethernet and InfiniBand Solutions.

We're looking to grow our company and build our teams with smart people who can join us at the cutting-edge technology. We are seeking a creative visionary who will thrive in our innovative environment, who will help move Network Silicon ICs products (Switch, NIC, SmartNic) from design to mass production. You will collaborate with test engineers, test house, Design, IT and many other professionals in the organization for the development of tools and test infrastructure for speeding time to market and enabling next generation test capabilities, characterization and data analysis. We foster a collaborative and inclusive culture where your ideas can make an immediate impact. If you are passionate about enabling of the highest quality Network products in the market, we want to hear from you!

What you'll be doing:

Design, develop, and maintain runtime infrastructure libraries for Automatic Test Equipment (ATE) systems.

Enhance test program architecture and infrastructure for next-generation products.

Collaborate with ATE vendors and contract manufacturers to enable new test capabilities.

Work cross-functionally across design, product, and operations teams to improve quality and time-to-market.

We are looking for an excellent, creative, and independent IC Test Validation & Automation Engineer to join our Networking unit. Our Networking has continuously reinvented itself over the years, delivering industry-leading high-speed Ethernet and InfiniBand solutions that push performance, bandwidth, and reliability from one generation to the next. In this role, you will help transfer our Network Silicon IC products, including Switch, NIC, and SmartNIC devices, from design engineering to high-quality mass production. You will define and automate IC test validation methodologies, develop validation tests and automation infrastructure, and build scalable flows for regression execution, results collection, reporting, and debug.

You will work closely with HW, SW, FW, SPE, SLT, DFT, security, and production teams, and will be responsible for improving test stability, coverage, quality, and debug visibility across wafer-level and final-test environments. The role includes troubleshooting complex test issues, improving validation methodologies, integrating tools such as Jenkins, Git, Jira, and automation agents, and acting as a gatekeeper for IC test program quality before production release. If you are passionate about IC product testing, automation, and enabling the highest-quality Networking products, we would like to hear from you.

What you'll be doing:

Definition and automation of IC test validation methodologies and procedures.

Developing validation tests and automation infrastructure.

Building Jenkins-based flows for regression execution, result collection, and reporting.

Using Git-based development workflows for test infrastructure, reviews, and releases.

Integrating Jira and MCP-based tools into validation, debug, and issue-tracking flows.

Maintaining products quality by improving test stability, coverage, quality, and debug visibility.

Troubleshooting test issues and improving automated testing methodologies.

We have an outstanding opportunity for a Materials Planning Management to join our Procurement Management team in Yokneam. This role offers an exceptional chance to be at the forefront of transforming our supply chain into a digitally optimized operation. You will drive cross-functional initiatives that improve execution and strengthen coordination across the materials supply chain

What You Will Be Doing:

Own the end-to-end supply chain and procurement readiness for the NPI phase, ensuring a smooth transition from NPI to full-scale Mass Production (MP).

Ensure material readiness to support program achievements, including production ramp-up, and full-scale manufacturing.

Proactively identify and resolve supply constraints, lead-time risks, and BOM gaps that could jeopardize a successful MP ramp.

Lead cross-functional readiness reviews, driving alignment between Engineering, Operations, CM, and procurement stakeholders.

Monitor and track Single-source parts, proactively identifying supply chain risks and escalating the need for dual/multi-manufacturer strategies to ensure supply continuity.

Collaborate cross-functionally with Planning and Business Units to drive demand analysis across NPI and high-volume production portfolios

Drive innovation in supply chain analytics by deploying BI and AI solutions to improve CM reporting accuracy, strengthen supply-demand alignment, and enable predictive, insight-based decision-making

We are a growing marketing technology agency looking for a Marketing Automation Manager with strong salesforce Marketing Cloud expertise to join our delivery team. This is a hands-on technical role focused on designing, implementing, and optimizing Marketing Automation solutions on the salesforce platform for a variety of customer projects. You'll work closely with internal Solution Architects, Project Managers, and Developers to translate business and marketing requirements into scalable, well-built technical solutions. The ideal candidate has solid, hands-on command of the salesforce Marketing Cloud infrastructure - data model, SQL, automations, and integrations - combined with a good understanding of Marketing Automation strategy, and is looking to grow into more complex enterprise implementations. Responsibilities Design, configure, and implement Marketing Automation solutions on salesforce Marketing Cloud Build and maintain the SFMC data structure: data Extensions, Contact Builder, and data relationships, following platform best practices Build and maintain customer journeys, workflows, automations, and campaign logic using Journey Builder and Automation Studio Develop audience segmentation using SQL Query Activities and data validation processes Implement personalization and dynamic content (AMPscript / dynamic content blocks) Support integrations between Marketing Cloud and salesforce CRM (Marketing Cloud Connect) and external systems via APIs Manage data flows: imports/exports, file drops, and third-party marketing technologies Ensure data quality, deliverability, and platform best practices across multiple projects Monitor, troubleshoot, and optimize automation and journey performance Collaborate with internal Solution Architects, Developers, and Project Managers to deliver successful implementations Maintain technical documentation and implementation standards Stay up to date with new salesforce platform capabilities and Marketing Automation best practices

We are looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.
Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.
This is a ground-up effort with rapidly evolving hardware and software. We need an individual contributor who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.

Key job responsibilities
- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.
- Implement and validate LLM architectures end-to-end - from PyTorch model definition through distributed execution on custom hardware.
- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.
- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.
- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup.
- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.
- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.

We are looking for engineers to join our Pre-Silicon Verification team - the team that sits at the very center of the chip development lifecycle.

As a CPU Verification Engineer on the Graviton team, you will be responsible for verifying the correctness, performance, and robustness of our next-generation ARM CPU cores and their surrounding subsystems. You'll work at the intersection of micro-architecture, system architecture, and software - ensuring our CPUs meet the highest quality bar before they reach silicon.

We are looking for exceptional software engineers to help develop the next generation chips based on a revolutionary architecture.
In this job you will design and develop software for functional and performance validation.

In this role you will develop system level software, targeting chip architecture, functional correctness and performance, running on various platforms and validating chip functionality.

The MLIL FLOW team is looking for a Software Development Engineer to design and build automation, tooling, and monitoring systems for our next-generation ML accelerator servers. We build production software to validate, initialize, monitor, and qualify these servers - from first silicon through fleet-scale deployment. Our work spans hardware diagnostics, manufacturing test automation, CI/CD pipelines, operational dashboards, and data-driven fleet health monitoring.

Key job responsibilities
Design and develop software infrastructure - automation frameworks, deployment systems, and test orchestration platforms that run at scale across manufacturing and production environments.
Work cross-functionally with Hardware, Manufacturing, and EC2 teams to automate coordinated software delivery and qualification workflows.
Debug and root-cause hardware/software interaction failures using systematic data analysis and automation-assisted triage.
Build and own CI/CD pipelines end-to-end: from code commit through build, test, deploy, and production validation - driving fast, reliable software delivery for hardware teams.
Create data pipelines and analytics systems (ETL, aggregation, real-time reporting) that transform raw hardware test results into actionable engineering insights.
Develop monitoring dashboards, alerting systems, and data visualization tools for fleet health, yield tracking, and performance benchmarking.
Own features end-to-end: from design through implementation, testing, deployment, and operational excellence.

We are now seeking a highly motivated Software Verification Manager to join our Switching group, working on SONiC Network OS. In this role, you will manage SONiC Verification team that will develop automatic tests and lead Regression analysis for SONiC OS running over switches.

What youll be doing:

Lead and mentor SONiC Software verification team; set technical direction, define priorities, and grow team capabilities.

Design and implement robust, maintainable, and efficient automated test suite for SONiC OS which is an open-source NOS.

Lead regression analysis for SONiC NOS following regression automated tests.

Cross-functional work with SONiC Design teams, QA, architecture, FW/SDK/SAI/platform teams.