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We seeks a highly motivated senior AI cloud Software architect to join our team in Israel. Work on innovative technologies shaping the future of AI and cloud. We are developing RDMA Transport protocols within the Networking software architecture team. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize our vision?

What you'll be doing:

Translate requirements into vision, architecture, and roadmap.

Design infrastructure to support programmable improvements to RDMA protocols for E/W AI networking stack.

Collaborate with multi-functional teams to innovate and deliver networking solutions.

Explore innovative solutions in HW and SW for our next-generation platforms as part of programmable RDMA architecture.

Build proofs-of-concept, conduct experiments, and perform quantitative modeling to evaluate and drive new innovations.

We're looking for a hardware architect for our NIC and DPU division. In this position, as part of a small (~10 employees) elite team, you will have the chance to define the architecture of our next generation NIC and DPU products. Your role will be cross-disciplinary, working with software, ASIC design, verification, physical design and platform teams to improve performance and debug.

What you'll be doing:

Learn and understand the NIC u/architecture thoroughly across all aspects and become a source of information for the design and verification engineers.

Define the next generation of our systems. Work closely with GPU and CPU teams for building the cut-edge systems.

Define the implementation of the most sophisticated features of our next products, balancing architecture requirements with backend, execution, and design considerations.

Understand our system requirements and help define the POR of our NIC and DPU product line.

Face the most challenging Full-Chip correctness and performance issues, which cannot be handled by the units designers as they require full cross-unit understanding of the chip.

Work closely with board and package design to understand the different design limitations: power, di/dt, temperature, signal-integrity etc.

Thoroughly understand SoC flows, PCIe, Ethernet, InfiniBand and NvLink protocols.

Join an innovative technology company developing an AI-powered computer vision platform with real-world impact. In this role, you'll lead the design, development, and deployment of advanced AI and computer vision algorithms, taking solutions from research to production while working closely with multidisciplinary engineering teams.
Responsibilities:
Design, train, and deploy deep learning models for computer vision applications.
Develop algorithms for object detection, segmentation, tracking, and behavior analysis.
Build and optimize real-time AI solutions for edge and cloud environments.
Research, evaluate, and integrate state-of-the-art AI and computer vision technologies.
Monitor, debug, and continuously improve production ML systems.
Collaborate with Software, Product, QA, and multidisciplinary engineering teams, while mentoring other engineers.

We are looking for a hands-on, full-stack Embedded Software Engineer to join our core R&D team. In this role, you will be actively developing, debugging, and integrating software across different environments. writing C/C++ firmware for microcontrollers (MCUs) as well as C++ applications running in Embedded Linux User-Space. You will play a key role in building central robotic logic, communication bridges, and ensuring our autonomous platform operates reliably and on schedule. Key Responsibilities: Dual-Environment Development: Write, debug, and maintain software for both MCU firmware (bare-metal/RTOS) and Embedded Linux User-Space applications. Robotic Logic & Motion Control: Implement state machines, system logic, and behavioral execution of the robot. Communication Infrastructure: Design and implement reliable communication protocols connecting MCUs to the Linux host board. System Integration & Debugging: Perform end-to-end integration on physical target hardware using standard software diagnostics to isolate and resolve system-level issues.