דרושים » תוכנה » Senior Software Infrastructure Engineer - Chip Design

We are searching for a strong technical leader to own the backbone of our Networking Research capabilities. We are looking for an Engineering Manager to lead the development of our high-fidelity Network Simulation platform and the extensive on-premise infrastructure that powers it.

In this role, you will lead a team of performance simulation software engineers and DevOps/Infrastructure specialists. You will own the "Simulation-as-a-Service" product-a critical platform used by internal researchers to model next-generation data center architectures. Your mission is to ensure our simulations are accurate, performant, and accessible, while managing the large-scale compute clusters required to run them.

What you'll be doing:

Team Leadership: Manage and mentor a team of C++ software engineers and DevOps infrastructure engineers, fostering a culture of performance, reliability, and code quality.

Product Ownership (Sim-as-a-Service): Treat the internal simulation platform as a product. Work with research partners to define the roadmap, prioritize features, and ensure high availability for users.

High-Performance Simulation: Be responsible for the architecture and optimization of complex network simulation engines (C++ based), ensuring they can scale to model extensive data center topologies with high fidelity.

Infrastructure Management: Own the lifecycle of our on-premise compute clusters and servers. Drive decisions on hardware upgrades, prioritisation, and managing system resources.

DevOps & Automation: Lead the strategy for CI/CD pipelines, automated testing, and containerized deployments to ensure rapid iteration and stability of the simulation platform.

multi-functional Collaboration: Partner with the AI Agents team to expose simulation APIs, enabling agents to run experiments and gather data autonomously.

We are looking for an AI Test Architect joining E2E Verification group to profile Innovative large scale Distributed training on our AI End-to-End solutions in a large scale supercomputing clusters. Provide insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated Computing and Deep Learning software and hardware platforms, with researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, Switch, HCA, CPU and GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.

What youll be doing:

Profiling, benchmarking, and analyzing deep learning models to identify areas for optimization and improvement in terms of performance, efficiency, and accuracy, with a strong emphasis on networking aspects.

Collaborating closely with data scientists, researchers, development, automation teams to design and implement scalable training pipelines and frameworks that demonstrate large scale high -performance networking capabilities.

Staying up-to-date with the latest advancements in deep learning algorithms, architectures, our GPU technologies, and high-performance networking solutions.

Optimizing deep learning models for performance, memory usage, and power efficiency while maximizing high-performance networking features on our supercomputers.

Providing insights and recommendations based on the analysis of large-scale training results, specifically focusing on networking bottlenecks and optimizations, to improve model outcomes and achieve business objectives.

Collaborating with hardware engineers to guide the development and integration of efficient networking solutions for deep learning, including exploring network architecture optimizations and bringing to bear technologies such as RDMA or InfiniBand.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, you will work with system teams and the CPU Architecture team to develop an understanding of the Central Processing Unit (CPU), System on a Chip (SoC), performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision making. You will correlate performance projections with measured post-silicon data.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's 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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Write product or system development code.
Design, develop, test, deploy, maintain, and improve Central Processing Unit (CPU) software modeling and other software tools.
Manage project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SoC performance modeling team, and other company Software teams.

our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. We seek an Senior SW Performance Engineer to join our performance verification team. As a Performance Engineer at our company, you will have to work closely with our companys development and architecture teams responsible for Ethernet AI solution and gain a deep understanding of our company products and technologies.
What youll be doing:
Participate in an international team of software engineers working on products for testing our company products
Build automated verification environment for high-end hardware and software which is at the forefront of innovation
Identify, analyze, and report software defects, inconsistencies, and other quality issues.
Drive improvements for performance, quality, stability around SW acceleration solutions.
Stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's 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.
In this role you will help to manufacture the SoCs that power these data centers by developing and deploying comprehensive manufacturing test and data analytics solutions for high volume manufacturing at wafer fabs and OSATs. This is an opportunity to create silicon in the most advanced technologies and follow it into the field to close the loop back to design and test for the next generation of chips. You'll help to integrate SoC technologies into devices and drive manufacturing test flows to assure performance and screen devices. You will drive yield improvement, cost optimization and work closely with cross functional teams to ensure the optimal test coverage in production to ensure high quality SoCs. You will have an understanding of IC flows, wafer processing, testing, qualification, diagnostics, and failure analysis. You will help design, deploy and maintain hardware required to screen high performance compute silicon at various stages of the manufacturing pipeline.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving force behind our company's 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 our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Manage ATE platform setup (including loadboard/probecard design) and change kit, SLT bench platform, and handler.
Identify and screen potential vendors (including technological and budgetary assessment) and track and verify progress at all stages of the design.
Define probecard and loadboard requirements based on testing strategy, accounting for test time, tester memory, and budget.
Review SI/PI simulations and final design signoff.
Validate probecard and loadboard hardware and open testing pipeline.

We are seeking a highly skilled Senior Networking AI Platform Engineer to join our Applied Networking AI group. In this role, you will help design and develop cutting-edge AI solutions, integrating them seamlessly into a variety of products. Youll collaborate closely with multi-functional teams of data scientists, software engineers, and DevOps professionals to ensure the efficient deployment, monitoring, and optimization of machine learning (ML) models.
As a key contributor, you will drive the entire software development lifecycle-from conceptualization and architecture to implementation and production-while working closely with engineering teams to solve complex problems and help build a successful company practice.
What you'll be doing:
Lead the design, development, and deployment of robust software systems across different platforms and environments
Architect, design, and implement scalable and high-performance software solutions, handling complex requirements and integrating various subsystems
Ensure systems are maintainable, flexible, and well-documented, with an emphasis on performance and security
Adapt to new tools, technologies, and frameworks, and be capable of taking ownership of the development process from conception to deployment
Supply innovative ideas and solutions, driving continuous improvement in both code quality and system efficiency
Develop and maintain scalable infrastructure for handling and deploying security and networking ML models in production, ensuring high availability, scalability, performance.
Design and implement data pipelines to efficiently process and transform large volumes of data for training and inference purposes.
Optimize and fine-tune ML models for performance, scalability, and resource utilization, considering factors such as latency, efficiency, and cost.
Collaborate with data scientists and software engineers to operationalize and deploy ML models, including model versioning, packaging, and integration with existing systems.

we are seeking a highly motivated Firmware Infrastructure & Automation Engineer to join our Firmware Regression & Automation team. In this role, you will design, develop, and enhance automation tools and infrastructure that improve the efficiency and stability of our companys Firmware development and verification processes. You will work closely with Firmware, Emulation, and Release teams to ensure smooth integration, reliable regression execution, and rapid issue identification - playing a key role in maintaining the quality and velocity of our companys cutting-edge networking products.
What youll be doing:
Develop and maintain automation tools and infrastructure supporting Firmware verification, compilation, and emulation workflows.
Monitor and maintain the stability of the Firmware regression cycles; identify, analyze, and resolve infrastructure and automation issues.
Implement process improvements to accelerate development and increase verification efficiency.
Generate reports and insights on regression results and quality trends; identify degradations between Firmware versions.
Collaborate with Firmware and Release teams to ensure high-quality delivery and smooth handoffs between verification and release stages.
Take ownership of the regression automation environment, including CI flows, scripts, and integration with build and release systems.

we are looking for an experienced HPC DevOps and Network Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence and GPU computing. Your expertise will drive the latest breakthroughs, providing insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.
What youll be doing:
Innovate and Implement: Design, implement, and maintain large-scale HPC/AI clusters with state-of-the-art monitoring, logging, and alerting systems.
Infrastructure as Code (IaC): Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments.
Streamline CI/CD Pipelines: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes.
Automate Everything: Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring.
Develop complex Networking automations.
Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.
Lead and Educate: Serve as a technical resource, developing and sharing best practices with internal teams.
Drive Innovation: Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements.

Were seeking a Staff Site Reliability Engineer to join our team and take ownership of the automation, reliability, and scalability of our platform. You will play a key role in refining our service architecture, CI/CD pipelines, and multi-cloud deployments, ensuring that our systems remain secure, efficient, and resilient. This role is ideal for a hands-on problem-solver who thrives in a fast-paced environment and is comfortable with ambiguity. We're looking for someone who can take ownership of a problem and drive solutions.

This is a hybrid role based in Tel Aviv, offering a chance to work closely with our founders and a team of highly talented individuals. Together, you will help shape the vision of our product and company while solving challenging infrastructure problems at scale.

What youll be doing

Design, build, and operate Okta's global production infrastructure
Support a highly available and large scale multi-cloud environment as part of an on-call rotation
Automate workflows, deployments, and infrastructure processes
Design, implement, and optimize CI/CD pipelines for faster and more reliable delivery
Refine and maintain multi-tenant service architecture with strong security and scalability
Deploy and manage infrastructure using Kubernetes, Terraform, and other modern IaC tools
Build robust monitoring, logging, and alerting systems to ensure platform reliability
Write automation and maintenance scripts, primarily in Python and Golang
Collaborate with engineering teams to improve developer experience and delivery speed
Lead by example, responding swiftly and efficiently to production incidents, and driving team learning and process improvements

EDA/CAD Software Engineer
About The Position
The company designs and builds hardware that fuels advanced privacy technologies by accelerating compute performance. Our world-class teams are transforming the future of data, creating the infrastructure that will power the next generation of secure cloud computing. The main bottleneck in scaling cutting-edge solutions in privacy tech, data-analysis and real-time computing is acceleration - existing hardware cannot keep up with data processing needs. Our products reshape how data is processed and used on a global scale, and were looking for the brightest people to join us.
Join a dynamic and innovative team driving the development of state-of-the-art EDA/CAD tools and scalable design automation infrastructure to empower advanced integrated circuit (IC) design. You will design, develop, and maintain next-generation design robust software tools and workflows across all domains in integrated circuit design, while ensuring compatibility with legacy software solutions.
Roles and responsibilities
Build, maintain, and optimize CAD tools supporting both commercial and in-house layout and verification tools (Cadence Virtuoso, Synopsys ICC, Mentor Calibre, etc.).
Develop and automate design flows spanning frontend RTL-to-GDSII, digital backend implementation, and physical/verification signoff, ensuring scalability and tapeout readiness.
Collaborate with layout, circuit, and verification teams to capture requirements and deploy efficient automation workflows.
Apply advanced software engineering and CAD methodologies to address technical challenges, evaluate architectural and hardware constraints, and deliver scalable automation solutions.
Design and implement testing frameworks, regression suites, code review practices, and CI/CD pipelines to validate CAD flows, ensure correctness, and improve reliability.
Define, document, and enforce best practices, standards, and procedures; provide technical guidance, training, and support to engineering teams.