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We're looking for a Software Engineer to join our team and take ownership of building, maintaining, and shipping our company's CVE-free container images, libraries, and Helm charts at scale.
Responsibilities:
Build and maintain vulnerability-free container images, libraries, and Helm charts, working at the intersection of Linux systems, package management, and security,
Own the full artifact lifecycle - sourcing, patching, validating, and releasing new versions across images, libraries, and Helm charts
Clean CVEs end-to-end: scan, triage, patch, and validate fixes across our artifact pipelines
Ramp up on AI-assisted workflows and our current tooling to work efficiently at scale.

As a Sales Engineer at our company, you will act as the technical expert and trusted advisor throughout the sales cycle. Youll partner closely with Sales, Product, and Engineering to demonstrate our companys value, translate customer needs into technical solutions, and help close strategic deals.
Responsibilities:
Partner with Account Executives throughout the full sales cycle, from discovery to close
Lead technical discovery calls to understand customer environments, challenges, and requirements
Deliver compelling product demos and presentations tailored to customer use cases
Design and explain technical solutions that align with customer needs and business goals
Answer technical questions, handle objections, and support RFPs / security questionnaires
Act as the voice of the customer, providing feedback to Product and Engineering teams
Support proof of concepts (POCs) and trials, ensuring successful evaluations
Stay up to date on our companys product, roadmap, and competitive landscape.

The AI VLSI department develops top notch NPU that 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 facing amazing PPAA challenges of the edge market.
In this role, as VLSI Team Leader in the AI VLSI department, you will lead a team of engineers developing cutting edge VLSI products such as - DSP, HW accelerators and AI Processors for the edge market, with full responsibility on the Front-End Design.
You will drive the development of robust, scalable, and efficient VLSI design, working closely with global Architecture, hardware simulator and Software teams to shape our companys next generation of AI solutions.
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.

In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate our companys AI neural network processor implementation.
In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various companys processors architectures.
The project is using C/C++ OOP as main development language as well as python for AI neural network.
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing our company customers to run most advanced AI networks efficiently on our company NPU software simulation.

In this role, as Embedded Software Team Leader, you will lead a team owning a key part of our company's 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 company 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 our company's 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.

In this role, you will design, optimize and develop features in the simulator.
Simulators are used daily by our architecture, algorithms, system, VLSI and QA teams - and by our company customers running the most advanced AI networks on our processors.
The development language is C/C++ (OOP) on Linux and Windows platforms.
Responsibilities:
Design and develop simulation software for our companys NPU and DSP platforms within an agile, top-notch software organization.
Perform in-depth analysis and optimization of simulator performance and accuracy across multiple our company processor architectures.
Dive into a large existing codebase to debug and deliver clever solutions to complex software challenges.
Interact and engage with architecture, algorithms, system, VLSI and QA teams, including remote design centers.

You will be a key contributor to our companys AI Graph Compiler software stack for NPUs, designing system-level execution flows for advanced neural networks, including LLMs.
The role focuses on L1/L2 memory management, data movement, and performance optimization, working closely with compiler and hardware architects.
What will you do:
Design and own key components of our companys AI Graph Compiler.
Develop and optimize neural network execution flows and memory management.
Enable complex AI workloads, including LLMs, and implement new NPU features.
Analyze performance bottlenecks and drive system-level optimizations.
Collaborate with compiler and hardware teams on HW-SW solutions.

In this role, you will build deep expertise in AI fundamentals, LLM and generative AI network architectures, and their underlying algorithms. You will continuously research emerging generative AI architectures across the industry, staying ahead of how the field evolves.
A central focus will be quantization - understanding, developing, and refining quantization methods and algorithms, and driving their deployment on our hardware to achieve maximum performance without compromising accuracy.
Responsibilities:
Explore and plan end to end network deployment on our company's hardware.
Own network accuracy measurement and improvement.
Develop the graph compiler's hardware-aware quantization tool.

In this role, you will have a direct impact on our product quality. As a team member in our SW team, you will be responsible for the development and operating of different SW and HW blocks in our system, analyze, optimize and debug your work and test the results and explore issues on your developed modules and other modules you will integrate with.
You will solve complicated failures and bugs and will dive into the code and the HW to understand why the failure occurs. You will be responsible for managing your developed products, including full test plan that will drive our system to zero bugs on the customer side
You will use the newest AI tools to speed up your development and debugging
Responsibilities:
Design, implement, maintain, optimize, and run various SW parts that are needed for the 5G Modem, including HW blocks drivers programming and operation.
Analyze and debug test results and explore results and issues.
Verify functionality and code performance of your developed code.
Track problematic code parts and work on improving them, WRT code cycle performance and code size performance.

We are looking for a Manual QA & Integration Engineer to work on complex systems. The role primarily focuses on manual software testing, alongside integration activities in laboratory environments and at customer site
During specific periods and according to project needs, integration activities may temporarily become a significant part of the role.
Responsibilities
Performing unit-level and system-level software testing, including test result analysis
Analyzing requirements, writing test documentation, and conducting test reviews
Identifying, analyzing, and resolving complex issues in real time
Reporting defects and performing retesting following their resolution
Performing end-to-end integrations in laboratory environments and at customer sites, including on-site system implementation
Leading tasks and collaborating with multiple stakeholders, including development teams, product managers, and customers.

Were looking for someone with a strong software engineering background and real hands-on AI experience- a leader who can think strategically, but is still comfortable diving into architecture, reviewing code, and solving complex technical challenges alongside the team.
This role combines two key missions: enabling business units across the organization to develop AI solutions independently within secure and governed environments, while also building complex AI solutions for strategic business needs.
Responsibilities
Lead the development of secure, governed AI environments, including CI/CD security gates, LLM Gateway, Paved Roads, and approved development templates.
Provide hands-on technical leadership for the AI development team, including architecture, code reviews, and complex problem-solving.
Own project intake, risk classification, data governance, and controlled access to databases and data repositories, including Vector Databases for RAG.
Work closely with the organizations Azure architecture, Information Security, Compliance, and business units.
Build and lead the team, establish engineering standards, and support professional development.

As part of the Group, we combine the agility and specialized expertise of a focused medical imaging company with the capabilities of a global technology organization. Our activity spans advanced system development, manufacturing, integration, testing, and support of digital imaging solutions for customers around the world.

We are looking for a CAD/Emulation Engineer to join our infrastructure team. This position is providing hands-on experience with advanced VLSI CAD/Emulation flows 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 maintaining advanced CAD flows.
Assist in improving infrastructure efficiency and tool integration.
Work with advanced version control systems and CI/CD pipelines for regression and build environments
Responsible for top notch emulation methodologies and procedures.

Lead a team of compiler engineers responsible for our company's 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 our company 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 our company's 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.