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We are seeking for an Infrastructure Developer for Embedded Hard rt Systems This role requires a talented and highly motivated software engineer to join our development team. The role includes working closely with hardware, system -level and low-level development, while collaborating intensively with hardware, testing and system teams. Development and maintenance of drivers and low-level software components in C / C ++ languages Implementation and maintenance of various communication protocols (such as UART, SPI, CAN, Ethernet, etc.). Work in Hard Real-Time environments and Bare Metal systems, including a deep understanding of operating systems (such as FreeRTOS, VxWorks) and without an OS. Analysis, writing and implementation of system requirements, including design and testing (unit, integration, system ). Real-Time performance optimization, system integration and integration of software and hardware components. Collaboration with system engineers, testing, hardware, FPGA and project management throughout the product life cycle - from defining the characterization to integration at the customer site. Writing development documents, including technical specifications, planning and testing. Beer Yaakov, Full-time, no hybrids

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We are looking for a Tech Lead to join our System Validation & Verification team - someone who combines deep hands-on automation expertise with the leadership skills to drive technical direction, mentor engineers, and own end-to-end quality strategy for a complex, enterprise-grade distributed storage system. This role is centered on test design and development - the ideal candidate is someone whose craft is writing and owning tests for complex product features, and elevating a team to do the same at a high level. If you thrive at the intersection of architecture, code, and quality - and get energized by the challenge of making large-scale systems provably correct - this role is for you.

Responsibilities:

* Lead the technical direction of the automation group: define best practices, set coding standards, and guide architectural decisions for testing methodologies and new feature implementations
* Remain hands-on: actively write, review, and contribute to test code alongside the team, leading by example rather than by title
* Design detailed test plans for new features, and review and approve implementation designs proposed by team members for how those features will be tested
* Engage with R&D and Product from the earliest stages of feature development, providing input on testability, edge cases, and quality requirements before implementation begins
* Design and own test strategies for large, cross-cutting features involving multiple services and components working together
* Mentor and grow team members, conducting code reviews and elevating the team's engineering quality
* Work closely with development, product, and architecture teams to influence design decisions from a quality and testability standpoint
* Drive root cause investigations of complex, hard-to-reproduce issues - race conditions, timing-sensitive failures, and problems that only surface at scale
* Own release sign-off decisions - you'll have the authority to say "not good enough"
* Identify gaps in test coverage across service boundaries and drive initiatives to close them

our company is seeking for an Operational Analyst This role requires Analyzing data from the worlds of logistics and production using ERP ( SAP ), MES, BI, EXCEL, and more. Generating information and insights to improve and streamline processes in production and the worlds of logistics. Support users with SAP problems and characterization of new developments Management, control and implementation of operational indicators (KPI) routines and ensuring compliance with the organization's goals Responsibility for the implementation, updating and control of operational procedures and work routines in warehouses Identification of opportunities for improvement, efficiency and optimization of logistics and operational processes Producing operational reports, building dashboards and analyzing data to produce operational insights Collaboration with internal organizational interfaces, including warehouse managers, TAPI, information systems Full-time position at the company's headquarters in Be'er Ya'akov, no hybrids

Fluent Trade Technologies is a global fintech software firm, recognized as a market leader in the eFX space. For over a decade, weve been delivering ultra-low-latency trading and market data solutions to the worlds largest banks, hedge funds, and non-bank institutions. Our modular and scalable platform empowers clients to achieve faster, smarter trading decisions, improve execution certainty, and grow their market share across multiple asset classes - including eFX, eFutures, eFixed-Income, Cryptocurrencies, and eMetals. With development centers in Europe and a collaborative, innovation-driven culture, Fluents mission is simple: to eliminate barriers to the most advanced trading technology and make it accessible to all market participants. Learn more about us at www.fluenttech.net We are looking for a Senior DevOps Engineer who specializes in database infrastructure, with deep, hands-on expertise in MySQL. In this role, you will own the entire database infrastructure lifecycle-from infrastructure solution design, database cluster and replication installation and setup, performance tuning, automation, production deployment, and support.
Responsibilities:
* Be a key part of rapid development cycles to deliver high-quality infrastructure and products.
* Hands-on database infrastructure management, optimization, and maintenance, utilizing DevOps best practices and automation.
* Own and manage all databases across the organization, including Development, Staging, and high-availability Production environments.
* Cover critical database admin aspects: Security, Failover/Replication architectures, Scaling, and Performance Optimization.
* Incorporate modern DevOps tools, work procedures, best practices, and infrastructure-as-code architecture.
* Cooperate closely with R&D, QA, and the core DevOps teams to streamline DB deployments and CI/CD pipelines.
* Serve as the in-house subject matter expert on databases, mentoring and guiding developers and QA teams. Location: This is a full-time, on-site position in Jerusalem.

We Are KPMG Israel KPMG Israel is more than a professional services firm, we are a community of people driven by impact. As part of a leading global network, we partner with the most influential organizations to drive large-scale business and technology transformation, combining strategic thinking, innovation, and advanced technologies. Guided by integrity, excellence, and forward thinking, we help organizations navigate complexity and create real change. Our people are at the center, with space to lead, experiment, and grow in a dynamic and collaborative environment that connects personal development with meaningful impact on the future of business and society We are looking for a passionate Elastic Engineer to join a dynamic, data-driven environment. This is a hands-on role focused on building advanced monitoring and cybersecurity solutions, working with large-scale data, and partnering with clients to deliver impactful insights and detection capabilities. Role Responsibilities
* Ongoing operation and maintenance of enterprise Elastic environments.
* Monitoring, alerting, and system management.
* Integration with other cloud and platform services.
* Load and performance testing.
* Design and implementation of Kafka-based ingestion pipelines into Elastic.
* Continuous improvement, stabilization, and optimization of the Elastic platform.

We are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:

You will be in charge of developing full-chip physical design methodologies, Physical Verification development and support through all the projects, Tapeout activities for implementation of networking chips and SOCs.

Work closely with Full Chip Layout owners and block owners, project managers to assure high quality and timely convergence.

Come up with unique and creative solutions to the state of the art FCL physical design problems that are needed for our chips.

We expect you to run, debug, and approve Physical Verification flows across multiple projects, ensuring strict adherence to our high standards.

Participating and developing flow and tool methodologies for fullchip, physical design verification across multiple projects.

As an AI/ML Solution Engineer in the AI-Native Development team, you will design and build AI-powered development pipelines, evaluate ML approaches for code generation and review, and drive the adoption of AI-assisted software development across the organization. You will work at the intersection of machine learning and software engineering - selecting the right models, feedback strategies, and evaluation frameworks to make AI-generated code reliable, high-quality, and trustworthy.

What you'll be doing:

Drive architecture, applied research, and hands-on development by defining and building AI-native software engineering solutions.

Design and build AI-powered development pipelines - from code generation and automated review to feedback loops and evaluation systems.

Evaluate and select ML approaches for specific problems: when to use LLM prompting vs. fine-tuning (QLoRA), classical ML (random forest, linear regression) vs. reinforcement learning, RAG vs. structured extraction.

Architect feedback and evaluation systems that measure and improve AI output quality over time.

Review and refine AI solution architectures - evaluate design decisions, identify weaknesses, propose alternatives with reasoning.

Lead proof-of-concept development to validate new AI/ML approaches for development tooling.

Collaborate with the core team to define risk-based development levels and calibrate AI review depth per level.

We are looking for a Senior Software Engineer to join the AIOps platform team and help build the core distributed systems that ingest massive telemetry streams from GPU clusters and operationalize predictive AI models at scale. You will work at the intersection of high-performance data engineering and production ML, turning research algorithms into reliable, mission-critical software.

What you'll be doing:

Architect and build an agentic AIOps system that autonomously monitors GPU fleet health, aggregates and correlates massive telemetry streams, surfaces intelligent alerts, and orchestrates multi-step diagnostic workflows and corrective actions - powering real-time dashboards, automated root-cause analysis, and proactive incident response.

Research, evaluate, and prototype data storage strategies and data representations across diverse database technologies and modalities, ensuring AI models are trained on high-quality, well-structured data that improves predictive accuracy and generalization.

High-Scale Engineering: Design distributed systems to handle the extreme telemetry density of large-scale AI clusters, ensuring efficient data ingestion, processing, and real-time analysis.

Instrument services with deep observability (metrics, logs, traces) to support rapid debugging and continuous performance improvement.

Build and own the model-serving infrastructure that operationalizes predictive algorithms at scale - packaging, versioning, deploying, and monitoring AI models in both SaaS and on-premises environments.

Contribute to the platform's core libraries and abstractions that accelerate development across the broader AIOps engineering team.

This role brings together horizontal ownership across engineering process, security coordination, developer productivity, DevOps, integration, and product usability. The leader will define clear operating models, remove execution friction across organizational boundaries, and ensure that DOCA software, tools, and workflows are robust, secure, integrated, and intuitive from development through deployment. The ideal candidate is comfortable leading people, working across engineering groups, understanding complex system-level software, and translating operational, security, integration, and usability challenges into clear priorities, ownership, and measurable improvements.

What you'll be doing:

Lead the DOCA Process and Productivity function, including cross-organizational process execution, DevOps, integration, UX/usability, security process coordination, and developer productivity initiatives.

Own and improve operating mechanisms across DOCA R&D, QA, release, security, integration, DevOps, lab infrastructure, and partner teams.

Serve as the Security Point of Contact for the DOCA framework, driving secure development workflows, vulnerability handling, security reviews, incident management, and alignment with NVIDIA security requirements.

Drive improvements in build, validation, release readiness, automation, CI/CD, lab workflows, deployment experience, documentation, and end-to-end engineering productivity.

Lead, mentor, and grow teams while helping the organization make multi-team workflows more predictable, transparent, secure, automated, accountable, and efficient.

As part of our engineering organization, you will play a key hands-on role in developing and executing software-driven characterization workflows on NVIDIA rack-scale systems. This role is focused on running AI workloads across the full stack to analyze, characterize, and optimize power, performance, and drive behavior at system level. This is an opportunity to work at the intersection of software, infrastructure, silicon, and large-scale AI platforms, with direct impact on our next-generation systems.

What youll be doing:

Develop and run software tools, automation, and workloads to characterize power, performance, and drive behavior across our rack-scale systems.

Execute AI and system-level workloads to stress and evaluate behavior across the stack, including GPUs, CPUs, networking, storage, firmware, drivers, and system software.

Build automated frameworks for data collection, telemetry, validation, correlation, and analysis of characterization results.

Investigate system behavior under different workloads and operating conditions to identify bottlenecks, anomalies, and optimization opportunities.

Work closely with hardware, firmware, driver, system software, performance, and validation teams to define characterization methodologies and debug cross-stack issues.

Support bring-up, validation, and readiness activities for new rack-scale platforms and AI infrastructure.

Create clear documentation, test flows, and repeatable processes to improve coverage, efficiency, and reproducibility.

Our team is seeking a highly motivated and hardworking Automation Infrastructure Engineer, to design and implement the infrastructure for the SDK verification group of the next generation Data Processing Unit Software, with a wide range of features related to cybersecurity and embedded systems. This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting data centers across the world. Were united in our quest to transform the way Smart-Adapters are used!

What youll be doing:

As an Automation engineer in the DOCA SDK Group, you will apply your knowledge and expertise in automation to create, enhance, and maintain our DPU communication solutions:

Develop tools and automation infrastructure to deploy testing on new systems and platforms, including multiple Operating Systems and architectures (x86, ARM, Ubuntu, Centos, Windows etc.)

Build tools and infrastructure to visualize and analyze the tests information

Come up with new insights and approaches to solve sophisticated problems

We are looking for Senior Software Engineer to join the Cumulus Linux team! We present you with an opportunity to be part of the team that develops the Network Operating System that powers data centers that are accelerated, disaggregated and software-defined to meet the exploding growth in AI and high-performance computing. You'll be part of a software development team responsible for defining and implementing core platform services, as well as Reliability, Availability and Serviceability features for Cumulus Linux, the Debian-based operating system for NVIDIA's market-leading Ethernet switches.

What you'll be doing:

Design and develop software for Cumulus Linux operating system (OS) which runs on our portfolio of data center switches.

Work on bringing up Cumulus Linux on next generation Nvidia switches.

Develop and maintain software in Python, C and Shell for our OS.

Collaborate with product, architecture, and engineering teams to deliver features on Cumulus Linuxs roadmap.

Debug and resolve issues reported by test and customer-facing teams.

Work with open source software that is part of our OS and fix issues as and when they are raised.

We are looking for a talent Software Engineer to join our Ethernet Switch SONiC Network OS. We have amazing GPUs that power AI applications, but they also require a high-performance network to support them. As a team member, you will have the opportunity to create innovative software that optimizes AI networks for the best performance possible. In this position you will take part in SONiC large worldwide community, contributing new features, bugs fixes and have our Switch products running with SONiC NOS in production in different clusters over the world.


What you'll be doing:

Design and implement features as part of the SONiC release train on top of our Switch products.

Be part of our SONiC R&D team, contribute code to SONiC worldwide community.

Work in a Continuous Deployment environment of fast development/deployment cycles.

Work with experienced teams which are well known in the SONiC community.