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In this role, you will be a key contributor to the design and implementation of AI Graph Compiler software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling efficient execution of advanced neural networks under tight power, memory, and latency constraints.

You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of NPU embedded solutions, actively promoting AI capabilities to the customers.

What will you do:

Own and design key components of the AI Graph Compiler software stack for NPU-based systems.

Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.

Collaborate on HW-SW co-design, influencing NPU architecture.

Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.

Mentor junior engineers and contribute to technical best practices.

In this role, as Senior Team Leader of the AI NPU Simulator, you will lead a Group developing a major part of AI simulation framework, in the core of our AI software offering. The AI NPU simulator enables the execution of state-of-the-art LLMs, Generative AI models, and neural networks with exceptional performance, impacting multiple hardware and software teams across the company.

You will drive the development of robust, scalable, and efficient simulation software, working closely with global Architecture, VLSI, and Software teams to shape next generation of AI solutions.

We are looking for an exceptional hands-on leader with strong technical expertise, proven experience leading software teams, and a track record of delivering complex, state-of-the-art products on time and with high quality. The ideal candidate is execution-driven, innovative, and passionate about building high-performing teams and cutting-edge AI technology.



Responsibilities

Manage and lead two teams (Development + Validation) .

Be accountable for the simulation lifecycle, including architecture, development, validation, and release.

Lead development of advanced simulation models for AI processors.

Own delivery of complex, multi-release roadmaps.

Ensure strong alignment between hardware design, compiler behavior, and simulation models.

Drive system-level correctness and performance accuracy.

Support system bring-up, debugging, and customer-facing activities when needed

We are looking for an exceptional hands-on leader with strong technical expertise, proven experience leading VLSI Front-End Design engineers, and a track record of delivering complex, state-of-the-art products on time and in production ready quality.

The ideal candidate is execution-driven, innovative, and passionate about building high-performing team and cutting-edge AI technology.

Responsibilities

Manage and lead a team of Front-End Design engineers.

Be accountable for the teams development lifecycle, including architecture, development, validation, and release, focusing on meeting PPAA targets.

Lead development of advanced VLSI IPs for AI processors, DSP and HW accelerators while continuing pushing the VLSI design methodologies, procedures, sign off and AI tools assimilation to its next level.

Support system bring-up, debugging, and customer-facing activities when needed

We are seeking a high-impact motivated Software Architect to join our team and help shape the future of our advanced neural network AI Software Toolchain over AI computing processors.

Responsibilities

Lead Software Architecture specification and supervise design for the most advanced Software Toolchain handling state-of-the-art Neural Processing Unit operation.

Collaborate proactively with Product, Architecture, VLSI and Software teams to promote software leadership over various markets and compute SoCs.

Explore and translate state-of-the-art neural network and AI applications requirements into software architecture flows, encompassing hardware, software, tools and other components.

Evaluate architecture proposals, internal and external IP features and provide influential and inspirational leadership across hardware and software to align all parties to a common vision of architecture & technology development.

Represent with high technical credibility in customer meetings, appropriately incorporating feedback.

Boost velocity of development teams by providing technical guidance and by constantly looking ahead to anticipate and resolve future challenges.

Conduct experiments, invent and drive development of supporting tools such as simulators, models, profilers, and other methods as required.

Engage with engineering leadership and product planning stakeholders to develop technology roadmap.

We are looking for a CAD/Emulation Graduate Engineer to join our infrastructure team. This position is designed as an entry-level role for a recent graduate, providing hands-on experience with advanced VLSI CAD/Emulation and infrastructure



Key Responsibilities

Develop and maintain automation scripts for front-end Emulation and VLSI CAD flows and automation.

Support execution and releases of VLSI artifacts while marinating advanced CAD flows.

Assist in improving infrastructure efficiency and tool integration.

Work with version control systems and CI/CD pipelines for regression and build environments.

Own and rule top notch emulation methodologies and procedures.

The System team defines and develops cutting-edge 5G technology. In this role, you will lead the system team responsible for defining our next-generation modem products and developing modem algorithms, working at the intersection of research, system design, and implementation.

Responsibilities

Lead a team of senior system and algorithm engineers responsible for developing innovative 5G modems.

Partner closely with VLSI and SW teams implementing the modem HW and SW and align on system definitions with implementation constraints.

Develop and maintain deep expertise in cellular standards and their implications for modem design.

Lead system and algorithmic research, balancing trade-offs between DSP/SW/HW implementations, performance, implementation cost, real-time constraints, and time-to-market.

Own system definitions, requirements, and implementation from initial research through simulation to official release, including MATLAB/C/C++/SystemC modeling and specification documentation.

Mentor and grow team members, fostering technical excellence and professional development.

Lead a team of compiler engineers responsible for open source based toolchain and graph compiler. You will be a hands-on team leader - driving architecture decisions, guiding engineers, and delivering compiler capabilities across all hardware targets. Our team embraces an AI-agentic development flow, leveraging AI coding agents to accelerate engineering productivity, and we are looking for a leader who champions this approach.

Responsibilities

Lead development of open source based toolchain targeting custom DSP and NPU architectures. Drive design and delivery of graph compilation flows: transformations, operator mapping, and code generation. Champion AI-agentic development practices within the team - integrating AI coding agents into day-to-day engineering workflows. Mentor engineers and conduct code reviews; build a high-quality engineering culture. Collaborate with hardware architecture, algorithms, and software teams globally. Own team planning, prioritization, and on-time delivery of toolchain features. Contribute hands-on to design, implementation, and performance tuning in C++ and Python.

Lead the development of Sensing SDK, a core software toolkit that integrates a broad set of computer vision, audio, and voice libraries, along with AI operators. The SDK is specifically designed and optimized for latest NPUs and DSPs - NeuPro-M, NeuPro-Nano and SensPro2 - positioning it as a cornerstone of sensing and AI platform.

Key Responsibilities:

Lead and mentor a team of software engineers developing Sensing AI SDK. Architect and implement high-performance sensing SW components for AI, vision, Audio and voice optimized for vectorize SIMD execution. Collaborate with compiler and DevOps teams to ensure efficient development and deployment. Drive technical excellence through code reviews, design discussions, and continuous improvement. Own the SDK roadmap, planning, and delivery cycles. Engage with customers to enable successful pre-sale processes, support integration and gather feedback.

In this role, as Embedded Software Team Leader, you will lead a team owning a key part of NPU AI software stack, a complex, multi-layered system spanning the Host (SDK, runtime, APIs, and UMD/KMD drivers) and the NPU IP (embedded firmware). This stack is at the heart of the AI software offering, with deep impact on multiple hardware and software teams ability to execute state of the art LLM, Generative AI and Neural Networks with extraordinary performance. Reporting to the AI Software SDK Senior Team Leader, you will lead a team of creative and result oriented enthusiasts that invent, design, and implement software that enables smooth connectivity between the NPU and Host CPU.



Responsibilities:

Lead and manage the Embedded Software engineering team, ensuring high performance and productivity.

Own the design, development, and implementation of your component within NPU AI software stack, aligned with the AI Software SDK group's technical strategy, architecture, and roadmap and its automated CI and release process.

Collaborate with cross-functional teams to integrate solutions. Provide technical guidance and mentorship to team members.

Ensure project timelines and deliverables are met.

Conduct performance reviews and support professional development of team members.

Collaborate globally with architects, HW teams, NPU teams, and other developer teams

As a senior compiler engineer, you will own the design and development of open source based toolchain and graph compiler. You will drive technical solutions end-to-end, deliver compiler capabilities across all hardware targets, and help mentor engineers. Our team embraces an AI-agentic development flow, leveraging AI coding agents to accelerate engineering productivity, and we are looking for engineers who champion this approach.

Responsibilities:

Design and develop open source based toolchain targeting custom DSP and NPU architectures.

Drive design and delivery of graph compilation flows: transformations, operator mapping, and code generation.

Champion AI-agentic development practices - integrating AI coding agents into day-to-day engineering workflows.

Own complex components end-to-end, from architecture and design through implementation and delivery.

Provide technical guidance and mentorship to engineers; conduct code reviews.

Collaborate with hardware architecture, algorithms, and software teams globally.

Analyze and optimize toolchain output for performance and correctness across processor families.

Join an agile team working on the most advanced wireless communication solutions, focused on the latest communication standards. You will define the architecture for future products and optimize modem solutions for hardware implementation.

Responsibilities:

Research and define architecture for advanced communication standards.

Define PHY System specifications and architecture for future solutions.

Define low-power architecture.

Work closely with the functional teams (Algorithm, HW/SW, RF, Validation, etc.), from early algorithm study to system validation.

Participate in integration and testing of wireless system solutions, spanning embedded SW, HW and radio.

Support customers engagement and product deployment.

Required Staff GPU Verification Engineer
Join our GPU Hardware Verification team in Raanana, Israel, and help shape the future of the world's most widely deployed GPU architecture - Mali. As a Staff Hardware Verification Engineer, you will play a key technical role in verifying advanced GPU components and subsystems, working alongside architects, designers and verification engineers to deliver high-quality, industry-leading graphics technology. You'll contribute to complex verification environments, solve challenging technical problems and help drive continuous improvements to our verification methodologies and flows.
Responsibilities:
Develop and execute verification plans for advanced GPU components and subsystems.
Develop and maintain AI tools, agents, and skills to support our engineering teams and workflows.
Build, maintain and enhance robust verification environments using SystemVerilog and UVM.
Apply coverage-driven, constrained-random and, where appropriate, formal verification techniques to achieve comprehensive functional coverage.
Debug complex functional issues and work closely with Design and Architecture teams to identify and resolve root causes.
Contribute to block-level and system-level verification, including environment integration and regression analysis.
Improve verification methodologies, automation, scripting and continuous integration flows to increase quality and efficiency.
Participate in verification reviews and support verification sign-off activities.
Share technical knowledge and collaborate with colleagues across the wider GPU engineering organisation.

We are looking for a hands-on Field Installation engineer to join our team and play a key role in deploying, maintaining, troubleshooting, and validating our advanced railway vision systems in Israel and abroad.
This is a unique position that combines field engineering, system integration, troubleshooting, and support for R&D validation activities. You will work closely with multidisciplinary teams, including Mechanical, Electrical, Software, and R&D Engineers, ensuring our systems perform reliably in real-world railway environments.
Important to Know: This is a hands-on field Installation engineering role, primarily based in railway environments across Israel and at customer sites worldwide. The role requires comfort with outdoor work, heights, and active railway environments, as well as a hands-on approach to solving technical problems on site.
Responsibilities:
Install, integrate, and commission our systems at customer sites.
Perform preventive and corrective maintenance on deployed systems.
Diagnose and resolve hardware, software, electrical, and communication issues in the field.
Execute field validation and testing activities for the R&D team.
Collect logs, analyze system behavior, and provide detailed feedback to engineering teams.
Work independently in the field while collaborating closely with internal technical teams.
Support customer demonstrations, pilots, and acceptance tests.
Prepare technical reports and document field activities.
Travel domestically and internationally to support installations, testing, and customer projects.

We believe in giving back to help those in need in the communities where we live and work. And are equally committed to creating a healthier environment and planet through our sustainability efforts.

Job Summary
In this hybrid fixed term role (2 days remote, 3 days in office), you will be part of the Materials & Biological Safety (MBS) team, responsible for creating and maintaining material data and biological safety information, for medical devices manufactured by our company. as Materials & Biological Safety Associate Specialist. You will be responsible for providing ongoing material and biological safety support for R&D and Engineering teams and regulatory submissions.

Essential Duties and Responsibilities
Local/site point of contact for internal employees, external clients and service providers regarding materials and biological safety of West Medical Devices platforms mainly VTD and V2B.
Support the design and development teams with materials research, evaluation, and selection. Liaise with Product Design, Validation & Verification and Project Managers/Leads to achieve project goals through high quality, accurate and timely completion of deliverables.
Responsible for directing external/third-party biocompatibility testing service providers and coordinate testing at external labs.
Coordinate, build and procure sample devices from the manufacturing plant for use in biocompatibility and/or chemical characterization evaluations.
Create (author) and/or review and approve biocompatibility test plans, protocols, and reports.
Create (author) and/or review and approve biological gap assessments for Medical Devices and manufacturing process.
Create (author) and/or review Biological Risk Assessment (BRA) /Toxicological Risk Assessment (TRA) in preparation for completing biocompatibility testing and chemical characterization programs.
Provide general ongoing materials and biological safety support with customer requests/inquiries, regulatory body or customer audits, and regulatory submissions.
Maintain thorough understanding of relevant ISO standards, quality system and laboratory testing accreditation requirements.

We help the world run better
At our company, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed.
What you'll do
As a DevOps Student, you will contribute to building and maintaining the backbone of our development and operational workflows, working with cutting-edge cloud-native technologies and modern infrastructure practices.
You will join a passionate team, embrace agile methodologies, and gain hands-on experience in CI/CD, monitoring, cloud infrastructure, and automation tools while learning from some of the best engineers in the field.
Support the development and maintenance of our CI/CD pipelines and deployment automation across various environments. Both in Jenkins and github actions.
Work with infrastructure as code (IaC) tools to define and manage cloud infrastructure in a scalable and reproducible way.
Collaborate with developers and platform engineers to streamline the development-to-production cycle.
Participate in Agile ceremonies and promote DevOps best practices across the organization.
Commit on project timeline and tasks, deliver on time with high quality.