דרושים » הנדסה » Software Engineer - Virtualization & Management of Storage, Core OS

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

As an Embedded Software and Prototyping Engineer working on visionOS platforms, you will be responsible for designing, prototyping, and developing real-time software across the visionOS stack.

Responsibilities
Define, design and develop software solutions for our AR/VR technology.
Work cross-functionally with multiple teams, drive requirements, and deliver end-to-end solutions.
Understand the end customer use-cases, and design and develop software solutions tailored to those experiences.
Develop early prototyping software solutions in simulation/emulation environment.
Deliver shipping quality software solutions.
Identify and implement efficient system-level solutions across HW and SW to meet the product's performance goals within the power constraints.
Debug hard to reproduce issues and propose solutions with minimum impact to user experience.

As a Wireless Firmware Architect you will focus on defining technical direction, conducting research and analysis, and providing architectural guidance for our Bluetooth embedded solutions.

The position emphasizes wireless protocol design and simulations, software architecture definition, technical planning, proof-of-concept development and performance optimizations.

Responsibilities:
Define comprehensive software architecture for our Bluetooth embedded solutions.
Establish firmware architectural guidelines and principles.
Support development teams with architectural guidance and consultation.
Integrate performance and power analysis requirements into architectural frameworks.
Create technical demonstrations to support architectural decision-making.
Monitor and analyze hardware implementations to ensure alignment with software architectural requirements.
Evaluate hardware design decisions and their impact on firmware architecture.
Collaborate with hardware teams to provide architectural input and recommendations.
Design and develop proof of concept (PoC) projects to validate architectural approaches.
Research and prototype emerging wireless technologies and methodologies.
Evaluate feasibility of new technologies and integration approaches.
Design and develop wireless protocol simulation frameworks, develop intelligent simulation environments for protocol validation and optimization.
Analyze new standards and specifications for architectural implications.
Track industry trends and emerging wireless technologies.

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'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. We offer 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. The IoE group specializes in making our devices smarter and more connected. By joining us, youll have the chance to be involved from early stages of architecture & design planning, through development and testing phases up to integration within our hardware products, infrastructures, and field deployment What you'll be doing in this position:
* Design, develop, TEST and maintain user space Embedded applications, both in low level and system level.
* Participate in design reviews, architecture definition, TEST planning and integrations.
* Debug and troubleshoot software issues
* Keep up to date with the latest industry trends, IoT technologies, and development tools.
* Work with adjacent teams such as software, integration, system, support and hardware.
Country:
Israel
City:
Herzliya

A hands-on engineering role focused on building production-grade AI/ML systems and the automation infrastructure that supports them - driving AI adoption into developer workflows, internal tooling, and domain-specific applications across the organization.

As a member of the AI Infrastructure & Applications team, you will lead the design, development, and production deployment of AI/ML-powered systems alongside the automation infrastructure and developer platforms that support them.
You will architect intelligent, scalable solutions used across the organization - driving AI adoption into developer and automation workflows, internal tooling, and domain-specific applications - while also building and maintaining the automation frameworks and infrastructure those systems depend on.
The systems you build are expected to be production-grade, reliable, observable, and continuously improving.

Responsibilities
Architect and ship end-to-end AI-powered applications and pipelines, from prototype to production.
Build agentic systems, RAG pipelines, and tool-use patterns that integrate LLMs into real workflows.
Define and own AI quality metrics (accuracy, groundedness, hallucination rate, task completion) and integrate them into CI/CD release gates.
Design evaluation frameworks for non-deterministic systems: offline evals, human-in-the-loop review, and automated regression suites.
Harness AI/LLMs to extend and enhance existing automation infrastructure, improving system performance and operational efficiency.
Build scalable automation frameworks, APIs, and tooling used across the organization.
Collaborate with engineering, CI, and domain teams to address automation needs across hardware, software, and cloud.
Distill requirements from a large, diverse user base into generic, reusable, maintainable solutions.
Implement monitoring, drift detection, and structured feedback pipelines for continuous improvement.
Apply rigorous engineering discipline - test design, release criteria, rollback strategies - to AI-native deployments.
Partner with product, design, and domain experts to define use cases, acceptance criteria, and rollout plans.

We have multiple positions open for Full stack Software Engineers and Senior Full stack Software Engineers to be hired across different Security teams in Israel.

As a Software Engineer you will:
Contribute to business-critical initiatives in our Security.
Use deep technical skills and the ability to quickly adapt to new areas.
Improve the end-to-end lifecycle of services.
Analyze complex system behavior, and apply modern engineering practices to streamline deployments and reduce costs.
Work on high-end technologies and collaborating across disciplines to deliver impactful features.
Collaborate with multiple teams across us to deliver key customer solutions and support technology.

As a Software Engineer on our team, you'll architect and build high-performance backend systems that operate at the scale and precision demanded by our most advanced hardware platforms. Your work will directly shape how engineers, developers, and users around the world interact with complex hardware - making the powerful feel effortless.

You'll also be at the forefront of integrating AI-powered tools into our internal macOS applications, bringing intelligent capabilities to the people who build our next generation of products.

Design, implement, and optimize high-performance backend systems that manage the scale and complexity of advanced hardware.
Build and integrate AI-driven features into internal macOS native applications.
Abstract intricate hardware behaviors into clean, developer-friendly interfaces and APIs.
Work closely with external SW Engineers vendors, aligning on technical requirements and integration strategies.
Collaborate with a globally distributed team of engineers, designers, and end users to deliver impactful solutions.
Own the full development lifecycle - from architecture and design through implementation, testing, and deployment.
Contribute across a modern tech stack: Swift, C++, and Python.

We are seeking a Machine Learning expert to join our wireless FW software group and explore innovative applications of ML algorithms in embedded wireless systems and protocols. This role focuses on cutting-edge research to integrate machine learning into wireless firmware architectures as well as protocol design, validation, and performance optimization. The position emphasizes experimental research, algorithm development, and proof-of-concept implementations in the wireless FW domain. This role offers the opportunity to develop novel solutions that bridge the gap between theoretical machine learning capabilities and practical wireless system implementations.
Responsibilities:
Research & Development: Design, develop, and evaluate machine learning algorithms optimized for real-time wireless communication systems operating under strict real-time, power and computational constraints.
Protocol Innovation: Create novel wireless protocols that intelligently incorporate ML techniques for enhanced performance, efficiency, and adaptability.
Algorithm Optimization: Adapt existing wireless algorithms (e.g. Link Quality, QoS, Scheduling etc) by integrating ML approaches while maintaining real-time performance requirements.
Data Collection & Analysis: Gather, analyze, and curate statistics from existing wireless devices and networks to enable ML model training and validation. Design and implement data collection frameworks for various wireless environments and use cases.
System Integration: Develop lightweight ML models suitable for deployment on resource-constrained wireless devices, including edge computing scenarios.
Performance Analysis: Conduct comprehensive performance evaluations through simulation, theoretical analysis, and experimental validation.
Research Publication: Publish findings in top-tier conferences and journals, and present research at industry conferences.
Collaboration: Work closely with hardware engineers, system architects, and product teams to ensure research translates into practical solutions.
Technology Scouting: Stay current with emerging trends in ML, wireless communications, and edge computing technologies.

Power the Future with us! 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. We offer 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.
What you'll be doing in this position:
* Design and implement Smart Energy management solutions that connect smart devices using advanced and emerging protocols, ensuring exceptional performance, robust security, and seamless scalability.
* Develop and maintain high-quality code following best practices to ensure reliability, maintainability, and scalability.
* Work in a hardware-oriented environment, including integration with physical devices, troubleshooting complex setups, and validating software-hardware interactions
* Apply AI-driven tools and methodologies to accelerate development and enhance code quality.
* Work across multiple Embedded Linux platforms, contributing to complex system -level development and integration tasks.

Country:
Israel
City:
Herzliya