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we are a leader in training and simulation systems, delivering mission-critical solutions used by hundreds of thousands of soldiers across 80+ sites worldwide. we are looking for a.Net Developer & WPF to join our engineering team at our company. As a Developer, you will work on our highly scalable, multi-disciplinary complex systems, collaborating with professionals across the different units of our company, and ensuring that our systems and infrastructure is set up for next-generation technology. This is a full-time position, based at our headquarters in Modi'in What will your job look like-
* Leading new features and problem-solving from requirements to delivery.
* Writing reliable, efficient, and maintainable code.
* Collaborating with different stakeholders.
* Mentoring young developers and lead continues team improvement.

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 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.

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 a fast growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we believe every voice has value and can impact our bottom line. We are seeking a Prompt Engineer to join our product team and help take our AI-powered products to the next level. This role is built for a junior engineer who wants to be at the forefront of AI and prompt engineering. You will be responsible for designing, validating, monitoring and productionizing prompts, LLM workflows, and AI agents. As well as this, you will write the functions, tools, MCPs, and integrations inside our codebase that power our agents. The ideal candidate will possess excellent organizational and communication skills, a strong sense of ownership, and the ability to collaborate effectively across many departments and teams. Most importantly, you will be genuinely passionate about modern AI tools and the practical adoption of LLMs in product development: you stay on top of what's new, experiment constantly, and bring fresh ideas to the team. This is a position based out of our Tel Aviv office or Jerusalem office, and will report to the LLM team lead.
 
What you will be responsible for:
* Design, prototype and iterate AI agents and LLM workflows from ideation to execution
* Monitor live systems (dashboards, A/B tests, validation pipelines), triage issues, and implement fixes for hallucinations and regressions
* Write and maintain functions, APIs, and integrations within our codebase to support agent capabilities
* Build and maintain LLM-as-judge frameworks to continuously evaluate quality at scale
* Collaborate with stakeholders across product, marketing, CX, and R&D teams


The top candidate will also have:
* Hands-on experience with using LLM pipelines in a product context
* Experience with Langchain, LangGraph, n8n, or similar tools
* Experience working with chatbots or conversational AI products
* Writing experience, such as copywriting, personal writing, or UX writing background


Why you should join us:
* An awesome global team of forward-thinking, innovative go-getters
* Integrate with tech titans: work directly with APIs from Google, facebook, Microsoft, and more
* Be part of a rapidly scaling recently acquired company
* Learning and growth opportunities within a fast-paced tech startup environment
* Clear career advancement path for strong performers
* We are committed to setting each other up for success. As a member of our team, you will work in an environment that encourages growth, initiative taking, and continuous mutual feedback in order to reach your full potential.
* Wolt Benefits and lots of yummy office treats and coffee to keep you fueled!:-)
Are you the one? apply!

We are a fast growing tech company in the automotive space with hubs across the US and Israel. We are disrupting the multi-trillion dollar transportation industry with our advanced Customer data Platform (CDP). Our work happens in the fast lane as we bring AI-powered, data -driven solutions to a quickly evolving industry. Our team is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we believe every voice has value and can impact our bottom line. We are seeking a Prompt Engineer to join our product team and help take our AI-powered products to the next level. This role is built for a junior engineer who wants to be at the forefront of AI and prompt engineering. You will be responsible for designing, validating, monitoring and productionizing prompts, LLM workflows, and AI agents. As well as this, you will write the functions, tools, MCPs, and integrations inside our codebase that power our agents. The ideal candidate will possess excellent organizational and communication skills, a strong sense of ownership, and the ability to collaborate effectively across many departments and teams. Most importantly, you will be genuinely passionate about modern AI tools and the practical adoption of LLMs in product development: you stay on top of what's new, experiment constantly, and bring fresh ideas to the team. This is a position based out of our Tel Aviv office or Jerusalem office, and will report to the LLM team lead.
 
What you will be responsible for:
* Design, prototype and iterate AI agents and LLM workflows from ideation to execution
* Monitor live systems (dashboards, A/B tests, validation pipelines), triage issues, and implement fixes for hallucinations and regressions
* Write and maintain functions, APIs, and integrations within our codebase to support agent capabilities
* Build and maintain LLM-as-judge frameworks to continuously evaluate quality at scale
* Collaborate with stakeholders across product, marketing, CX, and R&D teams


The top candidate will also have:
* Hands-on experience with using LLM pipelines in a product context
* Experience with Langchain, LangGraph, n8n, or similar tools
* Experience working with chatbots or conversational AI products
* Writing experience, such as copywriting, personal writing, or UX writing background


Why you should join us:
* An awesome global team of forward-thinking, innovative go-getters
* Integrate with tech titans: work directly with APIs from Google, facebook, Microsoft, and more
* Be part of a rapidly scaling recently acquired company
* Learning and growth opportunities within a fast-paced tech startup environment
* Clear career advancement path for strong performers
* We are committed to setting each other up for success. As a member of our team, you will work in an environment that encourages growth, initiative taking, and continuous mutual feedback in order to reach your full potential.
* Wolt Benefits and lots of yummy office treats and coffee to keep you fueled!:-)
Are you the one? apply!

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Senior Engineering Manager - Windows Endpoint, you will be tasked with taking end-to-end ownership of product capabilities and strategic initiatives from ideation to production, within the Windows Endpoint Ecosystem (our flagship productline, recognized 6x in-a-row Gartner MQ Leader). You should be an experienced leader with a proven track record of success in building and developing high-performing managers and teams, managing operational risks, and driving architectural excellence while fostering a world-class engineering culture.

The AI Forward Deployed Engineer (FDE) is responsible for driving the successful adoption of AI solutions across our Groups business units.

The role focuses on translating business needs into practical AI solutions and ensuring they are effectively embedded into real workflows, delivering measurable business impact.

FDEs work closely with business teams to identify high‑value opportunities, deploy and build customized AI solutions, and continuously improve outcomes. Success is measured by adoption, usage, tech quality and business value.


Key Responsibilities
Partner with business units and tech teams to identify and prioritize AI use cases.
Own AI initiatives end‑to‑end: from problem definition to deployment and impact measurement.
Deploy and adapt AI solutions to fit real operational workflows.
Drive user adoption through training, iteration, and feedback.
Support continuous improvement and scaling of successful solutions.

We are looking for an experienced Firmware Manager to join the NIC Firmware team at the Yokneam site. You will take part in leading a development team in our Firmware group while taking part hands-on with development activities. The Firmware team develops cutting edge networking features for enabling the AI revolution, cloud, HPC and storage. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced.

What you will be doing:

Lead a group of engineers and provide technical guidance and career mentorship to the team. Empower the team members to excel and increase team productiveness.

Work closely with the architecture and different software design teams.

Implement new features in the core of our NIC firmware in pre and post silicon environment.

Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.

Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship.

You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed.

We are looking for a passionate Firmware Engineer to join our NIC Firmware Core team. You will be joining a team whose primary mission is to work on innovative networking adapters technologies and take the success of the current and next our networking devices to the next level using a wide range of platforms - C layer between HW and FW, C++ OOP verification environment and automation challenges.

What youll be doing:

Take part in the design, development, testing, debugging, and optimization of many angles of the network adapters' core features.

Collaborate with chip design, software, and architecture teams to define and craft legacy and new firmware flows.

Improve our team methodologies.

What if your Python automation caught a critical ASIC bug before the physical silicon was even manufactured? Our simulation platforms make that happen every release cycle! We are the System Ethernet QA Team in our R&D center, responsible for the testing and qualification of virtual networking silicon (SimX) and software-from L2 forwarding and L3 routing to overlays, QoS, and security. With SimX, developers and QA engineers get hardware-free, early access to the ASIC for better debugging.

We are looking for a Senior QA Software Engineer who combines network protocol expertise with strong Python automation skills. Does debugging a BGP EVPN route leak excite you as much as refactoring a test framework? Then we should talk!

What you'll be doing:

We don't just complete checklists; we collaborate closely with R&D to lead the quality of new features from design to deployment. In this role, we:

Review architectural designs and requirements for new features introduced to the product.

Drive the design, development, and execution of tests across functional, performance, and security scopes as part of SW GA and update releases.

Develop Python automation suites built on clean OOP principles.

Chase down defects and validate fixes until we fully resolve the root cause.

Leverage the SimX platform to validate code and debug the ASIC long before hardware arrives.

The Networking Advanced Development Software team develops new groundbreaking technologies to enable new market shares for the company and tighten customer relationships. These are emerging technologies in networking and distributed computing for the booming AI factories and data centers. They span areas such as AI neural networks, Deep Learning, High Performance Computing (HPC), Storage, Cloud, SW Defined Network, Network Function Virtualization, 5G NR and more. We develop the solutions top-down, all the way from application behavioral analysis, to architecture definition and down to the implementation, using the world-leading our devices. The development traverses any needed component - application SW, middleware SW, OS kernel subsystems, device drivers, embedded SW (Firmware) and CUDA GPU. We collaborate with partners and key customers in the analysis processes and engage with open source communities introducing our leading features.

What youll be doing:

Lead a team of 5 engineers in the advanced technologies development.

Design and implement solutions throughout all layers from high level application, OS and driver subsystem to firmware.

Work on impactful projects involving state-of-the-art high-performance computing hardware and software.

Provide insight and technical guidance and collaborate with peers from across the company - including software architecture, chip architecture, and engineering departments to improve our future technology.

Collaborate with our partners and customers.

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 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.