דרושים » חשמל ואלקטרוניקה » Firmware Architect - Wireless Technologies & Ecosystems

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.

We are seeking talented, creative and disciplined engineers to join the best-in-class team that plays a significant part in the development of new silicon for our eco-systems by engaging in a dynamic, highly collaborative environment. As a Wireless MAC System Architect, you will be a core member of our highly innovative and visible Wireless System-on-Chip (SoC) design team that defines modem architectures, develops MAC-layer algorithms, and invents embedded DSP algorithms for chips enabling exciting new wireless applications. You will be responsible for developing state-of-the-art wireless SoC products that are enjoyed by millions of our customers. Application areas include ultra-wideband sensing and specialized wireless audio; products enabled or improved by our teams SoCs include specialized audio headsets (such as AirPods), watches and iPhones.

In this role you will be responsible for the architecture of the Connectivity IP with focus on the MAC sub-system: - Define, document and Spec Connectivity MAC architecture and performance requirements.
- Analyze & simulate the performance of the Connectivity IP in real-life use-cases, achieving benchmarking performances in several metrics, including Throughput, Robustness, Co-existence with other Wireless IPs and more.
- Working closely with other architects (PHY, Power Management, FW and SW) to introduce best in class Connectivity IP solution.
- Develop innovative system architectures and protocols to deliver best-in-class performance for the MAC subsystem of custom wireless silicon solutions.
- Introduce cross-domain features where opportunities exist for innovation to achieve enhanced performance.
- Produce MAC architecture, specifications and corresponding performance/reference modeling in support of digital HW and FW design and verification efforts.
- Develop and maintain a MAC systems infrastructure applying the best methodologies for system-level simulation, pre-silicon prototyping (including emulation and FPGA prototyping), FW QA, regression and MTBF testing, and system verification to ensure first-time design success.
- Support the delivery of new wireless technologies to the Product Systems teams.

In your role as a WiFi ML Link Adaptation Algorithm Engineer, as part of our Connectivity Group, you will be part of a world-class group that pioneers design and development of MAC Layer algorithms for wireless communication systems on our products.

We are looking for ML algorithm engineer to innovate and develop advanced rate adaptation and link optimization algorithms for WiFi systems. You will design and develop intelligent algorithms that dynamically optimize wireless transmission parameters to maximize throughput and reliability across diverse channel conditions.

Responsibilities:
Develop algorithms and models to improve rate selection, frame sizes, antenna selection and more with using ML.
Build/Configure simulation environments modeling fading channels, interference, and multi-user scenarios.
Validate performance of algorithms and models in network and HW simulations across diverse channel conditions.
Convert models and algorithms to embedded firmware implementation.
Create comprehensive test frameworks to evaluate real-world performance.
Conduct over-the-air testing and performance characterization on devices.
Analyze field telemetry data to identify optimization opportunities.
Debug and resolve algorithm-related issues in real-world deployment scenarios.

Join a highly skilled engineering team building core storage infrastructure across multiple system layers. You'll develop and enhance frameworks that handle disk image operations, provide unified storage abstractions, and enable cutting-edge virtualization technologies. This role requires both breadth and depth, comfortable working from kernel-level drivers to user-space frameworks, debugging complex multi-layered systems, and collaborating across hardware, kernel, and application teams. You'll participate in all phases of development: architecture, implementation, optimization, testing, and integration with deeply integrated platform features.

Responsibilities:
Develop kernel-level storage components and user-space frameworks for macOS and our other platforms.
Optimize I/O performance, resource utilization, and power efficiency across the storage stack.
Debug and resolve complex issues spanning hardware, firmware, kernel, and user-space boundaries.
Collaborate with cross-functional teams, including hardware, kernel, filesystem, and virtualization engineers.
Write comprehensive test suites, performance benchmarks, and technical documentation.
Contribute to architecture decisions and long-term technical direction for storage systems.

This role has been designed as Hybrid with an expectation that you will work on average 2 days per week from our office.

Roles and Responsibilities:
Design, develop, and enhance I/O subsystems, virtualization, kernel programming, and memory management for cutting-edge system software products.
Drive performance optimization, and efficient memory management.
Perform in-depth debugging, triaging, and resolution of user and kernel-level, performance profiling, and memory-related issues.
Develop innovative solutions, addressing challenges in virtualization, multithreading, and hardware-software interaction.
Explore and implement new methodologies fostering continuous improvement and innovation.
Proactively identify bottlenecks in system design, and recommend and implement robust, scalable solutions.
Stay updated on evolving trends in kernel development, design, and virtualization technologies to bring innovative practices to the team.
Troubleshoot and optimize complex I/O and kernel features to enhance performance, scalability, and reliability.
Collaborate with cross-functional teams to align on design goals and ensure seamless integration with the system architecture.
Exhibit flexibility in taking on new or related tasks, showcasing adaptability and a proactive, problem-solving mindset.
Provide technical leadership in architecture design, problem-solving, and decision-making across complex technical domains.
Lead technical discussions, design reviews, and decisions on critical system challenges, driving the adoption of innovative solutions and best practices.

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.

This isn't an ordinary automation and validation engineering position. You will engage in a collaborative and rapidly changing environment to discover and solve challenging problems that arise from integrating new technologies into our products.
You will join a hands-on development team that fosters engineering excellence, creativity, and innovation. Put your creativity, hardware background, programming, and problem-solving skills to the test. Adapt quickly to new technical areas, and deeply engage cross-functional teams to address problems. In this role, you will be responsible for all aspects of a large-scale lab crafted for testing new Hardware and Firmware.

As a Validation Engineer, you will play a central role in ensuring the quality and readiness of our next-generation hardware and firmware.
Your responsibilities will include:
Lab Development & Operations - Design, build, and operate a large-scale automation lab capable of testing multiple products simultaneously.
Test Execution & Debug - Develop and manage automated test suites, triage lab failures, and drive root-cause analysis to closure.
Cross-Functional Integration - Integrate deliverables from multiple R&D teams across us, ensuring seamless end-to-end validation and on-time product delivery.
Automation & Tooling - Create and maintain frameworks, scripts, and infrastructure that improve test coverage, efficiency, and reliability.
AI-Assisted Development - Leverage Generative AI tools and techniques to accelerate code development, automate test generation, and enhance engineering productivity.
Continuous Improvement - Identify gaps in existing validation processes and propose innovative solutions that raise the quality bar for future programs.

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.

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 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