דרושים » תוכנה » Senior system SW Architect

We are seeking a Embedded Systems Software Architect to own the technical direction of our embedded software platforms. This role combines hands-on development, system architecture, and technical leadership, guiding a team of embedded engineers while ensuring high-quality, scalable, and reliable software across current and future products.
You will act as the technical authority for embedded software, working closely with hardware, systems, and product stakeholders to translate requirements into robust software solutions.
What will your job look like?
Lead the technical direction and architecture of embedded software platforms across middleware and application layers.
Serve as the technical authority for embedded software, combining hands-on C/C++ development with system-level ownership.
Design scalable, modular software architectures and define clear interfaces between hardware, OS services, middleware, and application software.
Drive key technical decisions, architectural trade-offs, and long-term roadmap.
Develop and integrate middleware and application-layer components, including multi-threaded and real-time logic.
Lead design reviews, mentor embedded software engineers, and promote high coding and architectural standards.
Take ownership of complex system-level debugging, performance optimization, and software quality.
Work closely with OS, systems, product, QA, and manufacturing teams to translate product requirements into robust technical solutions.

We are looking for an experienced Software Architect to lead the design and development of our AI-driven software solutions. This role combines deep hands-on architecture with technical leadership, working closely with the CTO to shape system design, guide teams, and align engineering efforts with business goals, with a strong focus on AI-driven capabilities.
Responsibilities
Design and implement software architecture and system structure
Provide technical leadership and architectural guidance to engineering teams
Own the architectural vision and contribute to the technology roadmap
Translate business requirements into scalable technical solutions
Design and evolve AI/GenAI components, including model integration, orchestration and data flow
Guide teams on efficient use of LLMs (latency, cost, scalability)
Evaluate and recommend tools, technologies, and processes
Work closely with the CTO, product, and engineering teams to ensure alignment between architecture and business goals
Ensure quality, scalability, performance, and reliability of the system.

We are looking for a Senior Embedded Firmware Engineer to join our device software team and take ownership of firmware development for our connected embedded products.

This role includes developing, maintaining, debugging, and improving production firmware running on custom hardware platforms. The position requires strong hands-on experience with RTOS-based embedded systems, networking, device security, firmware updates, hardware bring-up, and cross-functional work with hardware, system, production, and cloud teams.

The ideal candidate is someone who can own complex embedded features end-to-end, debug difficult field issues, and improve the reliability, maintainability, and scalability of production devices.

Responsibilities
Design, develop, and maintain production firmware for connected IoT devices using Zephyr RTOS on ARM Cortex-M MCUs (NXP i.MX RT); own core device software architecture and system behavior.

Implement secure device communication and connectivity: MQTT/MQTTS, TCP/IP, TLS/mTLS, HTTP, REST, certificate handling, CSR generation, and secure provisioning.

Own firmware update flows: OTA, MCUboot integration, resumable download, and safe reboot/rollback behavior.

Debug complex field and production issues: networking, memory corruption, RTOS faults, boot failures, and stack/filesystem problems.

Work with peripheral drivers and board-level interfaces such as Ethernet PHY, SPI, I2C, GPIO, flash, filesystem, and external memory.

Perform hardware bring-up, collaborate with hardware, QA, cloud, and production teams, and support device certification activities.

Write clean, maintainable, well-structured C/C++ code for resource-constrained embedded systems.

We are seeking an AI Networking Architect to join the Networking Research Group. This role will help bridge the gap between emerging tasks supported by advanced technologies and the data center infrastructure that powers them. In this role, you will work at the intersection of AI applications, distributed systems, networking hardware, and software architecture.

You will join a focused team of multidisciplinary engineers driving AI workload optimization through deep application understanding, network analysis, and end-to-end systems thinking. Your insights will directly shape our products across the full stack - from applications and software libraries to hardware architecture and physical design.


What Youll Be Doing:

Model the performance of complex AI workloads to identify bottlenecks and recommend system-level optimizations.

Analyze brand-new AI models, distributed training techniques, and inference workloads to understand their infrastructure requirements.

Build Platforms, simulations and HW platforms, execute AI workloads and build analytical tools to evaluate trade-offs across compute, memory, storage, and network behavior.

Translate research insights and workload behavior into actionable software, hardware, and networking architecture requirements.

Partner with architecture, software, and product teams to influence future NVIDIA networking and AI infrastructure roadmaps.

Drive architectural innovation by applying deep workload analysis to real-world advanced machine learning frameworks.

Required Machine Learning Hardware Architect, Hardware, Software Co-Design, Cloud
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Tel Aviv, Israel; Haifa, Israel.
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.
As a Machine Learning Hardware Architect within the Co-design team, you will serve as a technical lead bridging model architecture innovation and next-generation hardware design. Operating at the highest levels of AI research and engineering, you will define the goal and architectural roadmap for our future machine learning serving and training capabilities. You will guide the integration of ML research such as massive-scale foundation models with advanced silicon architectures to create industry-leading, high-performance, and power-efficient accelerators.
Responsibilities
Define and drive the technical roadmap and architecture for the hardware/software stack to ensure exceptional performance for ML models. Act as the technical liaison across research, software, and hardware teams, steering model architecture innovation to maximize scaling, quality, and hardware efficiency.
Architect next-generation configurable simulation frameworks and performance models, setting the organizational standard for evaluating complex microarchitectural decisions. Drive high-stakes choices regarding Power, Performance, Area (PPA) and buildability for future chip and system architectures, expertly balancing long-term technological trends with strict product delivery timelines.
Guide system-level performance analysis across highly distributed ML systems, innovating new methodologies to optimize and balance compute, memory bandwidth, and inter-chip network requirements. Their leadership will directly shape the future of high-performance AI infrastructure and hardware-software co-design.
Manage cross-functional partnerships across hardware, compiler development and ML teams.

our company Autonomous Driving software group is looking for a Linux kernel expert with deep knowledge in the PCIe standard. As a Linux Kernel PCIe Architect, you will be part of the OS Architecture team and will be responsible to define the operating system solutions based on the PCIe standard for connectivity with peripherals and as an interconnect between multiple EyeQ SoCs.
This is an exciting and unique opportunity to work with highly talented Linux OS architecture and developments teams and be a leader in the definition of the cutting-edge technology for the Automotive AI applications.
What will your job look like?
Researching and defining the SW solutions based on the PCIe standard and the Linux implementation for the PCIe stack
Designing and Implementing the SW Stack for the communication between the EyeQ SoCs laying the infrastructure for cross chip neural networks.
Defining the future HW solutions by working closely with the SoC Architecture team in a SW/HW co-development environment.
Performing performance analysis, feasibility studies, PoCs and optimization flows to achieve the highest performance with minimal resources.
Work closely with the Linux Kernel team and provide the technical guidance and mentoring for development engineers.

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 Hands-on Architect to design, build, and evolve the core of next-generation AI cybersecurity platform.This is not an ivory-tower role; it is for a builder at heart. You will write code, build functional prototypes, and own critical services from inception to production. This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.
Responsibilities:
Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

Join us as a Principal Member of Technical Staff on our Lightning team in Israel to do the best work of your career and make a profound social impact. As a core member of our elite innovation unit, you will architect and build next-generation AI/HPC storage platforms enabling massive-scale "AI Factories."

You will operate as a deep technical leader, influencing architecture and solving complex system-level challenges across distributed filesystems and performance engineering.

As a member of Technical Staff, you will be responsible for designing and building next-generation distributed storage systems for AI and HPC workloads, focusing on extreme performance and scalability. You will work with product architects and global engineering teams on advanced filesystems, data services, and performance-critical platform innovations.

You will:

Architect extreme-scale distributed storage systems tailored for AI model training and large-scale GPU clusters.

Design and develop high-performance, multi-threaded components in C/C++ on Linux/Unix platforms.

Lead the evolution of parallel filesystems (Lustre, GPFS) and scale-out NAS architectures.

Drive end-to-end performance analysis and optimization, identifying and eliminating bottlenecks in I/O paths and memory usage.

Partner with product architects and senior leadership to translate complex customer requirements into scalable, resilient technical solutions.