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Power the Future with us! At our company, we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. our company offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. This is a great opportunity to join the system Engineering team, which is part of the R&D Division. In the system Engineering, you will lead our company's systems designs to create a new generation of products and improve the existing product range. You will work in a multidisciplinary environment and will need to define the system requirements and the validation process, with all R&D disciplines, such as Hardware, Software, Mechanical and Integration. The ideal candidate is a hands-on experienced engineer that sees the bigger picture, loves a fast-paced work environment, is self-motivated and has excellent communication skills. What will you be doing
* Define the product system requirements, behavior, logic, and?interfaces considering all disciplines (Hardware, software, mechanics, thermal, user interface, and more)
* Lead cross-discipline feasibility and tradeoff studies, system architecture development, and design reviews
* Analyze and suggest architectural alternatives
* Conduct hands-on proof-of-concept on HW in the lab and field
* Investigate and solve complex system -level problems
* Interact with our company's excellent engineers: Embedded, HW, Power, Cloud, Product Managers, Integration, etc.
* Act as primary contact for system -related issues

Country:
Israel
City:
Herzliya

Were looking for a hands-on Technical Project Manager and spread the power of our company. As part of the CTO operations team, you will focuses on improving deployment pipelines and internal tools by digging into logs, finding recurring issues, and reducing manual work. The role combines technical problem-solving with practical execution and coordination.
WHAT YOULL DO
Youll work with engineers and domain leads to help teams improve how they build and operate systems.
Help build and maintain the Unified Maturity Table, defining the technical parameters (workflows, support packages, other metrics) and their KPIs that conclude a domains readiness and maturity.
Partner with the team to refine internal AI agents by measuring the performance of their answers against human expert interventions.
Use cluster analysis (AI) of support ticket descriptions to identify recurring patterns, then design and implement automated workflows to streamline resolution.
Take part in driving the departments "operating system" by facilitating design meetings, managing cross-domain syncs, and ensuring the documentation and support packages required for daily execution are current and actionable.
Define and implement different thresholds by analyzing support ticket complexity, resolution times, and domain-specific friction.
Transition static maturity reports into live, dynamic dashboards with trend lines.
Lead design meetings to establish cross-functional standards for domain maturity and system health alerts.

If youre passionate about delivering awesome enterprise-level outcomes at a scale thathelps transform the lives of our customers, come join the Fintech PMO as a StaffTechnical Program Manager. The Fintech PMO exists to accelerate the technology andproduct outcomes of the Fintech organization and across the ecosystem by improvingand enabling world-class strategy, execution, and delivery. We drive for accountabilityand clarity while ensuring execution excellence, and empowering cross-functionalteams to scale and organize for speed.
This role will focus on delivering high priority TurboTax consumer priorities across the Fintech organization.
Responsibilities
Be a part of the Program Leadership Team to unblock/guide program teams' delivery
Connect the dots across various programs to simplify the 'why/what/how'
Develop a program structure and drive a program operating rhythm to bring together complex, cross-organizational teams
Identify and/or simplify program level processes enabling the org to operate smoothly
Drive creation of execution plans across all phases of planning, development,and production readiness and launch
Collaborate with leaders and key stakeholders in executive teams, product management & engineering, and various cross-functional teams to effectively drive towards program outcomes
Manage dependencies at scale through structure and right sized processes
Quickly and effectively and resolve the critical issues and risks. Clearly communicate actionable solutions, striking an effective balance between stakeholder needs and technical limitations
Ability to influence stakeholders at all levels leading to quick decisions
Communicate results and progress clearly and in actionable form across the organization and at all levels; includes program status, risks, dependencies and change control.

Come join the team as a Staff Machine Learning Engineer. We are seeking a highly skilled ML engineer passionate about building a world-class platform at a high scale, specifically focused on delivering AI capabilities. You will be part of a vibrant team of AI Scientists and ML Engineers, helping to build the next generation of awesome products and experiences using cutting-edge Generative AI technology. If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
Responsibilities
Design, implement, and enhance services at large scale, specifically focusing on improving Generative AI inference, quantization, optimization, finetuning, and evaluation.
Use your coding expertise to design and implement scalable, modular, and secure services.
Develop backend systems that support serving of LLMs and AI Agents at scale, utilizing the latest industry tools and techniques.
Work cross-functionally with product managers, AI scientists, business units, and other engineers to understand, implement, refine, and design Generative AI models.
Help automate, deliver, monitor, and improve GenAI solutions while taking end-to-end responsibilities including technical documentation and automation tests.
Interact with a variety of data sources, working closely with peers to refine features from the underlying data and build end-to-end pipelines.
Resolve defects and bugs during testing, production, and post-release patches, and participate in peer code reviews.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

we are looking for a Senior Backend Engineer.
As a Senior Backend Engineer, you'll partner with a team of seasoned engineers to build the AI-powered foundations that are redefining test automation , helping engineering teams deliver flawless digital experiences faster and with greater confidence, by bringing visual AI and autonomous capabilities into every step of the testing lifecycle
You'll work on distributed, high-throughput microservices systems powering visual AI testing for some of the world's largest engineering teams.
Within this role, you will be responsible for:
Designing and evolving cloud-native microservices that power large-scale distributed rendering and browser orchestration pipelines
Leading the design and delivery of mobile device infrastructure (iOS and Android) in our Execution Cloud, becoming the team's domain expert on simulators, emulators, and mobile toolchains
Owning the full software delivery lifecycle from design and development through testing, deployment, and production operations, including the underlying infrastructure
Driving continuous improvement of system reliability, scalability, and performance
Collaborating closely with teammates across the stack to deliver well-designed, high-quality solutions
Exploring and integrating AI-driven capabilities to push the boundaries of what's possible in test automation

Come join the company team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our company products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

we are looking for a AI Team Lead.
As our AI Team Lead, you will sit at the intersection of cutting-edge research and production engineering, guiding a high-performing team of Data Scientists and Engineers. This is a deeply hands-on leadership role where you will drive the end-to-end lifecycle-from initial research and PyTorch training to deploying sophisticated multi-modal AI (Text, Image, Audio, and Video) in high-throughput environments. Join us in building the future of responsible AI adoption and digital integrity.
Responsibilities:
Manage and grow a high-performing team of AI researchers and engineers, fostering technical excellence.
Drive the design and training of multimodal models applications (Text, Image, Audio, Video) using PyTorch.
Own the AI roadmap from initial concept to scalable, high-throughput production.
Partner with Product, Backend, and Security teams to integrate AI solutions globally.
Stay at the forefront of GenAI/LLM research to continuously improve our detection engines.

we are a global technology platform that constantly disrupts itself by identifying major new technology and design trends that are needed to deliver our mission to power prosperity around the world.
Come join the team as a StaffBackend Engineer. We are a customer-obsessed, and our capabilities serve millions of customers; we innovate to create hyper growth to the customers and the business; using new technologies and driving new platform initiatives.
If you are passionate about building a world class platform, at a high scale, this is the opportunity for you!
Responsibilities
You will seek to improve performance by refactoring existing services and flows
You will mentor more junior team members and help them learn and progress professionally.
You will collaborate with various stakeholders - product management, analysts, data engineers, customer success, and more.
You will contribute by owning the designing and implementing new features and enhancements and represent the team in the technical aspect during discussions and architecture roundtables
You will be hands-on, 70 - 80% coding
You will serve as the immediate go-to person within the team for any tech-related issue or discussion
Youll be a good listener, while also having strong opinions on what is right
Youll be fun to be around and work with.

The AI Graph Compiler Engineer will design and develop next-generation graph compiler technologies enabling efficient execution of advanced AI models on our company Neural Processing Units (NPUs) used in edge and embedded AI devices. In this role, you will work at the intersection of AI frameworks, graph optimization, and hardware acceleration, enabling efficient execution of neural networks on cutting-edge AI hardware.
You will work at the intersection of AI frameworks, compiler infrastructure, and hardware acceleration, helping translate high-level AI models into highly optimized executions on our company NPUs.
What will you do:
Develop and enhance AI graph compiler components targeting our company NPU architectures. Implement graph-level optimizations such as operator fusion, scheduling, memory planning, and layout transformations. Participate in lowering models from AI frameworks (e.g., PyTorch, ONNX, TensorFlow) into our company NPU-optimized representations. Contribute to compiler passes focused on performance, memory efficiency, and numerical correctness. Collaborate closely with hardware, runtime, and AI framework teams to achieve optimal end-to-end performance. Analyze performance bottlenecks and assist in compiler-based optimizations. Debug and resolve issues across compiler, runtime, and hardware layers. Support testing, validation, and documentation of compiler features.

In this role, you will be a key contributor to the design and implementation of our companys 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 our company NPU embedded solutions, actively promoting our company 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, you will be a key contributor to the design and implementation of our companys 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 our companyNPU embedded solutions, actively promoting our company 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.

we are looking for a System Engineer.
Leading and managing the system development process for communication systems - from requirements phase to customer delivery.
Responsibility for the projects technical management and serving as the technical POC for the customer.
Defining system and functional requirements, specifying software interfaces, and managing development processes.
Writing system, design, and test documentation - with strong emphasis on software definitions, architecture, and integration.
Conducting design reviews: SRR, PDR, CDR, and others.
Participation and leadership in system integration processes, including software and hardware testing.
Hands-on technical support, including troubleshooting, software testing, and communication testing.
Working with customers in Israel and abroad, including providing technical support and guidance.
Ongoing work interfaces with all internal departments in the company.

Lead the development of our company 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 our companys latest NPUs and DSPs - NeuPro-M, NeuPro-Nano and SensPro2 - positioning it as a cornerstone of our companys sensing and AI platform.
Key Responsibilities:
Lead and mentor a team of software engineers developing our company 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, you will be shaping the future of our companys AI software stack for Neural Processing Units (NPUs). You will lead software architecture, define performance-critical components, and enable 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 our company NPU embedded solutions, actively promoting our company AI capabilities to the customers.
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 our companys 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.
Design and promote holistic software solutions incorporating various aspects of NPU handling: from network retraining, graph compiling and network inference execution on the embedded systems.
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 our company 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.

As a Graph Compiler Software Manager, you will lead the development of our companys next-generation graph compiler technology. This compiler is a cornerstone of our companys AI software offering, empowering customers to optimize, map, and execute complex neural networks across our company architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.
Key Responsibilities:
Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.