This is a high-ownership, builder-first Sr. Software Engineer role. You will design, build, and ship AI-integrated data systems from concept through production - owning outcomes end-to-end, including deployment, monitoring, cost, and business impact.

We are seeking a candidate who views AI tooling as a fundamental force multiplier in their daily engineering process. This position is central to our transition into an AI-native function, requiring an individual capable of making decisive, pragmatic architectural choices on reversible matters to maintain momentum. We need an experienced builder of production-grade, data-centric systems who is obsessed with delivering customer value and possesses a deep, curious enthusiasm for the transformative potential of AI.

What You Will Build
AI-Native Systems Development. Design, build, and own scalable data and ML pipelines, backend services, and AI-powered capabilities that are part of the platform's production decision-making layer. AI and ML components are runtime dependencies in this role - not research projects or experiments. Candidates will have strong back end and data engineering skills to thrive in this space.
Daily Shipping. Decompose complex work into safely mergeable increments and ship them daily. Treat large, multi-day pull requests as a risk to momentum. Use feature flags, canary releases, and rollback architecture to manage risk through isolation - not through avoidance.
AI-Augmented Engineering Workflow. Leverage AI-assisted development tooling (code generation, automated testing, architecture prototyping) as a core workflow multiplier. Evaluate and experiment with emerging AI tools and frameworks with direct hands-on engagement. Bring technical depth to AI fluency - architecture and capability tradeoffs, not surface-level awareness.
End-to-End Ownership. Own your work from design through production deployment, operational monitoring, and business impact measurement. Accountability extends beyond the feature to CI/CD pipeline health, observability, cost efficiency, and domain-level outcomes.
Architectural Decision-Making. Make pragmatic, timely architectural choices that balance modern AI and data technologies with reliability, cost, and delivery speed. Distinguish reversible vs. irreversible decisions and move forward without waiting for consensus on the former. Document decisions in lightweight ADRs and own the outcomes.
Cross-Functional Collaboration. Partner with product, design, infrastructure, and GTM teams to translate customer and business needs into technical solutions. Operate with business awareness - understand how your systems impact revenue, customer outcomes, and strategic priorities.

We're building AI to tackle one of the hardest operational challenges in business: getting workforce management right across many markets, each with its own tax rules, labor laws, payment rails, and constantly shifting policies.
In this role on our AI team, you'll focus on agentic workflow automation. You'll design, build, and deploy reliable AI agents that automate complex HR, payroll, and payment workflows, handling decision-making, document intelligence, and complex tasks that typically require human judgment.
What You'll Do:
Design and build agent-based systems that automate document processing, business insights, and complex enterprise workflows
Build observability, evaluation, and feedback loops for agent behavior to improve reliability, accuracy, and trust in production
Own the technical architecture and engineering standards for agentic systems
Build or manage data pipelines to process large volumes of documents and unstructured data
Collaborate with domain experts to identify high-value automation targets and deliver end-to-end solutions
Stay current on agent frameworks, LLM capabilities and limitations, and apply emerging patterns pragmatically in production

we are looking for a Mobile SDK Engineer.
The Core SDK team operates across Android and iOS platforms, with a long-term vision of a unified mobile SDK engineering team. Engineers collaborate across platform boundaries while maintaining deep expertise in their primary mobile ecosystem.
Operating at the intersection of mobile platforms and large-scale distributed systems, the team tackles complex challenges such as performance optimization, platform compatibility across thousands of devices, and maintaining highly reliable code that runs on billions of devices.
As the team evolves, we are also expanding beyond traditional mobile development and scaling engineering capabilities with AI. This includes building and using AI-powered tooling, MCP-based systems, and agent-driven automation to improve developer productivity, testing, and SDK innovation.
Engineers in the team therefore have the opportunity to work not only on mobile platform challenges, but also on emerging areas where mobile infrastructure, AI systems, and developer platforms intersect.
What youll do
Develop and maintain mobile SDK features used by developers worldwide
Design and implement reliable and performant SDK components across multiple mobile platforms and operating system versions
Take ownership of end-to-end quality, including design, implementation, testing, and production reliability
Debug and resolve complex issues across different devices, OS versions, and runtime environments
Improve SDK performance, stability, and reliability at scale
Develop and maintain SDK wrappers and integrations for cross-platform frameworks such as Unity, React Native, Flutter, and other mobile environments
Work with modern AI-driven engineering tools, automation systems, and internal developer platforms
Collaborate with engineers across mobile, backend, frontend, and platform teams
Participate in code reviews and contribute to engineering best practices

We are looking for an R&D Group Lead to take ownership of the SaasLab group - leading multiple engineering teams responsible for the core platform services that every product depends on. You will drive the technical vision and execution or architectural transformation while ensuring the reliability and scalability of SaaS foundation.
The position requires a strong architectural mindset, experience leading platform and infrastructure-level work, and the ability to balance long-term technical strategy with continuous delivery of business value.
What youll do
Lead and mentor a group of engineers and team leads across multiple domains (core entities, access & API gateway, billing & integrations), fostering growth in design, architecture, and people leadership
Own the SaaS platform end to end - ensuring high availability, security, and operational excellence of the systems that underpin every product
Drive and execute an architectural transformation: decoupling from legacy data stores, building a resilient domain model, and adopting modern patterns like GraphQL Federation
Work closely with product managers and cross-functional stakeholders, taking accountability for group deliveries and ensuring teams ship on time with excellent quality
Lead technical initiatives, processes, methodologies, and architectural decisions across the group
Drive AI Products development, SDLC and process improvements via cutting edge tools and methodologies
Be a meaningful and major member of AFOS leadership team and influence the units engineering vision, processes, and culture

We're building AI to tackle one of the hardest operational challenges in business: getting workforce management right across many markets, each with its own tax rules, labor laws, payment rails, and constantly shifting policies.
In this role on our AI team, you'll build and scale core AI systems that power products. You'll work across agentic document intelligence, autonomous agents, compliance AI, and ML-powered insights, prototyping quickly, building robust evaluations, and shipping production-grade AI with real business impact.
What You'll Do:
Build and ship AI/ML solutions using LLMs, agents, RAG, and document understanding models, alongside classic ML
Prototype quickly, validate feasibility, and turn strong POCs into production systems
Evaluate models and architectures, apply testing and guardrails to improve agent and service reliability
Research and apply emerging techniques: multimodal/document AI, agentic frameworks, synthetic data generation, and new architectural approaches
Work cross-functionally with product, R&D, and compliance teams to deliver end-to-end solutions
Contribute to scalable, secure architecture and engineering best practices for AI delivery

Join us to do the best work of your career and make a profound social impact as a Senior Principal Software Engineer on our Lightning Engineering R&D team in Glil-Yam (Herzliya), Israel.

As a Senior Software Principal Engineer, you will be responsible for developing sophisticated systems and software based on the customers business goals, needs, and general business environment, creating software solutions.

You will:
Develop end‑to‑end storage features for the Lightning product, driving technical execution from requirements through design, implementation, testing, and deployment.
Architect and build AI‑driven infrastructure systems, breaking down complex initiatives, identifying dependencies and risks early, and defining software specifications with a strong security and quality focus.
Set the technical bar through hands‑on development and code reviews in C++, Python, and Linux environments.
Collaborate with and influence global teams, communicating technical decisions, progress, and risks clearly, while contributing actively in an Agile development environment.
Establish and evolve engineering standards and best practices as the organization scales.

As a Senior Software Architect, you will be responsible for defining the architecture and technical strategy of our SaaS and on prem platforms. You will work with multiple engineering teams on building scalable, secure, and high& performance data platforms that support enterprise AI workloads and mission critical applications.

You will:
Define and evolve architectural standards across security, data, and observability.
Collaborate with engineering teams to ensure cohesive and scalable system design.
Architect high scale services, APIs, and data pipelines for enterprise workloads.
Conduct architectural specifications review sessions (we work SDD and TDD), design workshops, and code level consultations.
Mentor engineers and lead architectural governance and design decisions.

we are a leading semiconductor design center, developing SoCs, microcontrollers, and security hardware solutions for tier-1 customers in the computing and server space. As a self-contained R&D center - spanning architecture, chip design, software, and system engineering - we work closely with major US-based OEMs to deliver innovative, semi-custom silicon solutions. We are now extending our portfolio into AI acceleration, developing a next-generation NPU platform aimed at efficient, real-world AI deployment.
?Shape the Future of AI at the Silicon Level We are looking for a visionary Senior Technical Manager to build and lead our AI software stack for our next-generation NPU platform This is a rare opportunity to own the full software layer - from compiler infrastructure to Developer ecosystem - and make a lasting impact on how AI runs on silicon. What You'll Do; Build and lead a highly skilled AI software & algorithms engineering team, establishing engineering standards, development processes, and technical direction Define the end-to-end stack - compiler, runtime, Kernel libraries, and SDK - enabling efficient AI deployment on our NPU Drive AI compiler development using technologies like MLIR, TVM, LLVM or similar infrastructures to translate PyTorch/TensorFlow models into optimized NPU execution Champion model optimization - quantization, pruning, and hardware-aware techniques for maximum performance and power efficiency on the accelerator. Runtime, Drivers, and Firmware Integration - scheduling, memory management, and low-level software for AI workloads on-chip AI Kernel Libraries - Guide the development of highly optimized neural network Kernel libraries and performance-critical primitives tailored to the architecture of the NPU. Developer Ecosystem - Define and deliver the SDK, APIs, and development tools that allow internal teams and external developers to deploy AI models easily on the platform. Cross-Functional Architecture Collaboration - Work closely with silicon architecture and hardware design teams to ensure optimal hardware-software co-design, providing feedback on architecture, performance bottlenecks, and future ISA requirements.

We are a global leader in high-performance smart energy technology, with over 3000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery Storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive
The IoE group specializes in making our devices smarter and more connected. What You Will Be Doing:
* Develop and design high-quality code following best practices to ensure reliability, maintainability, and scalability.
* Optimize and enhance the performance of existing software components.
* Collaborate with hardware engineers to ensure seamless integration between hardware and software.
* Lead technical discussions, code reviews, and mentor junior engineers.
* Participate in the full software development life cycle including concept, design, development, deployment, and support.
* Leverage cutting-edge AI tools and the latest development features to accelerate development, improve code quality, and drive innovation across the team.
* On the Interface team, you'll develop the core infrastructure handling all communication between the device and external systems - cloud, mobile, and other on-site controllers - deployed across millions of devices worldwide.


Country:
Israel

City:
Herzliya

Required Senior AI-Native Software Engineer
Role summary:
You will join a high-impact AI engineering team within R&D, owning problems end-to-end from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it.
As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild - building and shipping cutting-edge agentic applications that deliver seamless experiences to our users.
Location:
Hybrid - Herzliya, Israel
Full-time
What you'll do:
Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production
Use AI as your primary development tool, achieving in a day what used to take a team a week
Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics
Design and build evaluation frameworks as part of every solution you don't ship what you can't measure
Own production readiness monitoring, alerting, and observability go in on day one
Contribute to shaping team practices, tooling, and engineering standards across the pod
Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities.