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Lead the functional sign-off for complex FPGA designs by architecting scalable, reusable UVM-based verification environments.
You will build the essential infrastructure that empowers FPGA designers to efficiently and accurately verify their own modules.

Key Responsibilities:
* Architecture: Build and maintain advanced simulation environments from scratch using UVM and SystemVerilog.
* Strategy & Coverage: Develop comprehensive verification plans to drive the team toward 100% functional and code coverage closure.
* CI/CD & Automation: Architect robust automated regression testing environments and integrate them into CI/CD pipelines (e.g., Jenkins).
* Tool Expertise: Serve as the internal authority for EDA tools (like Questa) and manage high-performance simulations.
* Debugging: Perform deep root-cause analysis on complex failing tests and hardware logic.

we are looking for an experienced SW engineer with desire and ability to contribute and lead cutting edge network management system of most powerful super-computers in the world. our team is growing, and we are looking for hardworking and self-motivated engineers to lead building of advanced, high scale sdn management solutions. you will be part of a dynamic team, working with amazing people. this crucial role will give you a rare opportunity to craft and deliver a new class of data center nms product line.
what you'll be doing:
the team develops infrastructure for monitoring and gathering telemetry from production environments, running on the worlds largest supercomputers and datacenters.
the work environment is dynamic and challenging; we are innovating and inventing software products at the forefront of technology in terms of performance, scalability, and features.
our team works closely with other engineering teams to co-design new features and software apis

looking for a best-in-class engineer for an exciting role as a pre-silicone technical leader capable of leading complicated pre-si programs while fine-tuning existing and defining new methodology processes. be a key player in the networking hardware and software development path and contribute to the latest breakthroughs in high performance networking appliances. lead the pre-si technical programs from initial mrd presentations through "all hands" bring up events towards final customer samples release. pave the way to improved methodology and streamline processes. we develop sw and fw pre-silicone features, solutions and tools for next-generation asics, and orchestrate the pre-silicone process and asics bring-up events.
what youll be doing:
leading a multi-functional cross org team, responsible for ensuring critical software and firmware is ready to support the bringup of new switch asics
driving technical issue resolution to enable single day silicon bring up on multiple sw/hw layer while meeting aggressive product schedules.
drive, improve and introduce in-team and cross-team processes to guarantee high quality pre-silicon execution.
interface and drive pre-silicon issues across multi-functional teams: product management, architecture, software design and verification, system hardware and software, system and ic product engineering teams and others. drive technical sessions with multi-functional teams to track & follow-up on issues, progress and escalations.
focused issue reporting, bug tracking, and communication of pre-si technical program risks & status.

Rail Vision is a multidisciplinary startup headquartered in Ra'anana. We are the leading provider of obstacle detection, collision avoidance and drive able areas systems in the railway industry around the globe, supporting Autonomous Train Operations. With our unique cognitive sensor fusion technology, based on advanced electro-optic sensors and perception solution, Rail Vision systems detect obstacles on and along the tracks from up to 2 kilometers away, in real-time, and in diverse weather and lighting conditions. We provide systems capable of operating in various environments: On mainline and high-speed rail, in urban environments, and in challenging switchyards. Rail Vision offers a range of complementary features based on collected and analyzed data: Image-based Navigation, GIS Mapping and Predictive Maintenance. We’re looking for a brilliant Deep learning research engineer to join our Algorithms group. What will you do?
* Be a researcher of the core deep learning algorithms and communicate with other researchers.
* Design and implement advanced algorithms to solve complex problems.
* Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.