We're seeking a passionate and skilled Embedded Firmware Engineer to play a pivotal role in delivering the next generation of us. In this highly visible position, you'll be at the intersection of hardware and software, collaborating closely with logic designers to deeply understand system-level operations and performance requirements for hardware validation.

In this role, you will develop critical low-level embedded firmware specifically designed to validate hardware functionality, ensure conformance, and drive performance during the bring-up and testing phases of new silicon. This involves designing, developing, and integrating complex drivers, diagnostic tests, and infrastructure essential for SoC bring-up, post-silicon validation, and debugging activities. Ultimately, you'll lead hands-on firmware development, system-level validation, and problem-solving at the hardware-software interface in a dynamic, collaborative environment, with your work directly enabling the successful launch of future our products by ensuring our silicon meets the highest standards.

We're seeking a passionate and skilled Embedded Firmware Engineer to play a pivotal role in delivering the next generation of us. In this highly visible position, you'll be at the intersection of hardware and software, collaborating closely with logic designers to deeply understand system-level operations and performance requirements for hardware validation. In this role, you will develop critical low-level embedded firmware specifically designed to validate hardware functionality, ensure conformance, and drive performance during the bring-up and testing phases of new silicon. This involves designing, developing, and integrating complex drivers, diagnostic tests, and infrastructure essential for SoC bring-up, post-silicon validation, and debugging activities. Ultimately, you'll lead hands-on firmware development, system-level validation, and problem-solving at the hardware-software interface in a dynamic, collaborative environment, with your work directly enabling the successful launch of future products by ensuring our silicon meets the highest standards.

Required Embedded Systems Engineer, High Speed DSP
About the job
In this role, youll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers our most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our TPU. You'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
In this role, for High-Speed DSP, you will architect and define the low-level firmware and control loops powering our physical-layer communications silicon. Sitting at the critical intersection of digital signal processing (DSP), hardware-software co-design, and real-time systems, you will lead the development of adaptive algorithms, error correction (FEC), and link-telemetry frameworks. Your work will directly bridge the gap between high-performance hardware pipelines and our AI infrastructure, transforming complex communication systems theory into reliable, real-time silicon execution.
Responsibilities
Define the long-term firmware roadmap and hardware-software partitioning for physical-layer interfaces, determining the optimal balance between hardware-fixed logic and programmable firmware.
Architect advanced "in-situ" monitoring systems and firmware-driven diagnostics to track physical-layer link health, Bit Error Rate (BER) trends, and channel quality across millions of ports in real-time.
Design, model, and implement bare-metal or RTOS firmware to control high-speed transceivers, managing real-time adaptive loops, clock and data recovery (CDR), and physical-layer calibration.
Partner with TPU Systems, Networking Software, and High-Performance Computing (HPC) teams to ensure silicon firmware integrates seamlessly with global cluster management and collective communication frameworks.
Identify and de-risk hardware-software interface bottlenecks (e.g., register maps, driver latencies, and boot-up sequencing) that impact our AI infrastructure.

Our EyeQ Platform Group is looking for a talented Embedded SW Developer to join our Haifa team. In this role, you will be at the heart of our SoC (System on a Chip) validation, specifically responsible for theVideo Interface Unit- the "eyes" of our autonomous driving technology.
You will write high-performance, object-oriented C++ code on our proprietary validation OS, interface with low-level drivers, and take a lead role in complex board bring-up processes. If you thrive on solving "impossible" hardware-software puzzles alongside HW engineers, this is the place for you.
What will your job look like:
Design and implement robust C++ code for multi-threaded, multi-core environments running on advanced MIPS and RISC-V architectures.
Develop Video Interface drivers and frameworks, maintaining and scaling existing systems to support next-gen SoC capabilities.
Board bring-up activities and debug complex systems on our proprietary Silicon.
Utilize on-SoC scripting engines to provide flexibility and interactive SoC usage for internal and external stakeholders.

We are looking for an experienced Linux Test Automation Developer to play a key role in ensuring the quality and reliability of our next-generation silicon products.

In this position, you will be responsible for the end-to-end validation of Embedded Linux systems and BMC firmware, working at the intersection of hardware and software.

You will design automated testing environments and perform deep-dive analysis into kernel-level performance and stability.



Responsibilities:

- Environment Design: Develop, maintain, and execute QA environments specifically for testing Embedded Linux kernel and BMC firmware.

- Automation & Validation: Design and implement automated validation tests for kernel, drivers, and user-space components.

- Analysis: Perform comprehensive system performance, stability, and stress analysis on embedded platforms.

- Debugging: Analyze failures, debug kernel and user-space issues, and provide detailed root cause analysis.

- Collaboration: Work closely with development, firmware, hardware, and system teams to ensure high product quality throughout the lifecycle.

- Documentation: Document test plans, test cases, and validation results clearly and accurately.

Power the Future with us! we are a global leader in high-performance smart energy technology, with over 3000 employees, offices in 33 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 Embedded Infrastructure Team builds and maintains the shared Embedded software foundations used across the department. We develop reusable code and core technologies that enable multiple projects and teams to succeed, while spearheading the adoption of new technologies within the organization. By providing a robust, scalable base, we empower product teams to move faster with confidence. Key Responsibilities
* Develop and maintain Embedded software for a cross-platform SDK at the core of our company Embedded products.
* Develop bootloaders, drivers, bare-metal, and RTOS-based firmware for ARM & ARC processors.
* Collaborate across software, hardware, and architecture teams to develop and integrate features, from design through implementation and system -level validation.
* Participate in design reviews/code reviews and develop high-quality code following best practices, including unit tests and automated system tests.
* Define and improve development environments and build flows that enable efficiency and flexibility across all teams.
* Navigate a hardware-oriented environment encompassing chip bring-up, physical device integration, complex troubleshooting, and software-hardware validation.
* Apply AI-driven tools and methodologies to accelerate development and enhance code quality.
Country:
Israel
City:
Herzliya

We are seeking a Software Embedded Development Engineer to design, develop, and optimize mission-critical embedded software for cloud infrastructure. You will join teams focused on networking, machine learning acceleration, and high-performance computing (HPC), impacting millions of AWS services globally.

Cutting-Edge Technology: Work on custom silicon (e.g., Graviton, ML accelerators) and innovative networking solutions at the intersection of hardware and software.

Growth & Innovation: Benefit from AWSs resources, mentorship programs, and opportunities to publish technical content.

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 looking for an Embedded Software Engineer to join the SW group and take a major part in redefining the future of AWS cloud.

Were searching for engineers with a passion for networking to develop SRD (Scalable Reliable Datagram). SRD is a high-performance, low-latency transport protocol used within our Web Services infrastructure to optimize network performance. SRD powers several high-impact, cutting-edge products, including on-demand ML and HPC platforms leveraging EFA, next-generation storage services built on EBS, and the future of AWS network traffic.

Key job responsibilities
As an Embedded Software Engineer on the SRD team, your primary responsibility will be to develop and optimize SRD technology across AWSs network infrastructure. You will work on cutting-edge, high-performance platforms that power ML, HPC, and storage-intensive workloads.

Your role will involve designing, deploying, and maintaining the SRD codebase, ensuring its reliability and scalability to meet the demands of diverse applications. You will gain in-depth knowledge of the various platforms and services running SRD within AWS, diving deep to understand their unique challenges and complexities.

Collaboration will be key, as you will work across multiple teams at different layers of the software stack. You will also contribute to defining new hardware modules and enabling offloads to enhance performance.

The Labs Security Team secures the firmware at the foundation of our custom silicon. We work on Graviton processors and the Nitro System - hardware that runs a substantial share of the world's cloud workloads - in close collaboration with the silicon architects and firmware developers who design it. Our engineers operate at the lowest levels of the stack: secure boot chains, hardware root of trust, attestation, cryptographic protocol design, and the boundaries between trust domains within the system.

Key job responsibilities
As a Security Engineer, you will threat model new silicon and firmware architectures, conduct low-level penetration testing against privileged and externally reachable interfaces, review designs and code across multiple firmware components, and build the fuzzing and analysis tooling that makes this work repeatable at silicon scale. You will also help raise the security bar across the wider organization through direct engagement with firmware and hardware teams. We are looking for engineers fluent in C and ARM assembly, with real depth in secure boot, applied cryptography, or embedded exploitation, and the technical credibility to hold a position in a room full of people who designed the system you are testing.