דרושים » תוכנה » לחברה מובילה באזור עמק יזרעאל דרוש מפתח /ת תוכנה - פיתוח מונחה עצמים (Object Oriented Developer )

We are looking for a creative and experienced Senior Firmware Engineer to join our PCIe Firmware team-someone passionate about using artificial intelligence to engineer the foundational hardware of the AI revolution.

As an integral part of our team, you'll architect and implement the core of our next-generation devices. This senior role places you at the center of innovation, where you will have a direct impact on our business and technology by solving sophisticated technical challenges. Its a unique opportunity to shape our technology and empower customers to build the supercomputers and AI fabrics of tomorrow.

What You'll Be Doing:
Lead the architectural design, development, and optimization of cutting-edge PCIe firmware, using AI-driven modeling and insights to deliver exceptional performance.

Serve as a trusted technical expert by investigating, debugging, and resolving challenging PCIe firmware issues for our most important customers.

Collaborate closely with our Chip Design, Verification, Software, and Architecture engineers to find root causes and develop robust, long-term solutions.

Champion the integration of AI-assisted diagnostics and generative AI tools across the entire development lifecycle to boost team productivity and innovation.

Translate customer needs and field data into actionable feedback that directly shapes the future of our products.

We are looking for an enthusiastic software engineer to join our AI networking acceleration team, to work on a groundbreaking open-source library, using hardware offloads, GPU Kernels and RDMA network cards. Our product is a performance-oriented low-level infrastructure, crafted to change the way inference works.

We thrive as a team in a deeply strong environment, and we're passionate about innovation. The rewards are sweet and include working with some of the brightest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to collaborate on products that transform daily the way people work and play.

What you'll be doing:
Developing a highly optimized inference framework
Running on the worlds largest supercomputers and data centers.
The work environment is dynamic and challenging as our employees work on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features.

We are looking for a Senior networking test engineer with strong system‑level debugging skills to join our End‑to‑End Verification team. You will work on cutting‑edge Ethernet‑based AI clusters, owning complex issues across hardware, system software and AI workloads. We are widely considered to be one of the technology worlds most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

What youll be doing:

Design and review test and product requirements across the Ethernet / NIC / DPU / Switch portfolio, focusing on large‑scale AI cluster behavior.

Build and maintain realistic customer‑like testbeds, including heterogeneous hardware, OS / driver combinations and complex network fabrics.

Own end‑to‑end cluster troubleshooting: reproduce customer scenarios, triage across the stack and drive issues to root cause and fix.

Read and understand relevant source code to identify defects, validate fixes and improve logging and instrumentation.

Collaborate closely with development teams to debug NCCL, RoCE/RDMA and related networking components using logs, code inspection and targeted experiments.

Define tests and guide the automation team to implement robust suites that produce actionable logs, metrics and traces.

Run Regression, Performance, Functional and Scale testing, analyze results and provide clear, data‑driven reports to stakeholders.

Profile and benchmark deep learning training and inference workloads, correlating model‑level metrics with system and network telemetry to uncover bottlenecks.

Our DOCA Verification team is seeking a highly motivated and hardworking Software Engineer with hands-on capability technical experience, to verify the design and implementation of the next generation Data Processing Unit Software, with wide range of features related to cyber security and embedded systems. This position offers the opportunity to have real impact in a dynamic, technology-focused company impacting data centers across the world. We're united in our quest to transform the way Smart Adapters are used.

What you'll be doing:

Collaboration & Communication: Work closely with software, architecture, product and DevOps teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test plan development to final implementation and full automation.

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Defect Analysis: Analyze test results, open bugs and track issues to closure, ensuring robust and scalable solutions.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Regression Monitoring: Operate, monitor, and analyze failures in the nightly regression system, providing methodical root-cause analysis across hardware, OS, and software layers.

We are seeking a creative and talented Software Engineer to join our team. In this role, you will be responsible for developing next-generation AI-based tools to revolutionize the efficiency and productivity of our R&D processes.

You will join a team dedicated to solving complex engineering challenges by integrating intelligent solutions into our workflow. You will collaborate with internal AI initiatives, leverage our cutting-edge internal AI infrastructure, and utilize both internal and external models to build the engineering ecosystem of the future. If you are a developer with a strong Computer Science foundation and a deep passion for Generative AI and Large Language Models (LLMs), we encourage you to apply.

What you will be doing:

Design and develop AI-powered software tools and automation aimed at dramatically improving engineering productivity.

Implement advanced AI workflows, such as Retrieval-Augmented Generation (RAG) and intelligent assistants, to solve real-world development problems.

Collaborate with cross-functional teams and internal AI initiatives to identify bottlenecks and translate them into scalable solutions.

Work hands-on with internal and external AI models (LLMs), orchestrating them to deliver high-quality, reliable outputs.

Stay up-to-date with the rapidly evolving landscape of AI to continuously optimize our tools and methodologies.

Our team propels generative AI forward by building and deploying agentic systems that integrate innovative LLMs with domain tools to expedite HW and SW engineering workflows at scale. We are in search of a top-tier AI Agents Solution Architect to work closely with hardware architects, verification engineers, GPU performance experts, and software developers to develop end-to-end agent flows that drive significant enhancements in simulation analysis, kernel optimization, and developer efficiency.

What you'll be doing:

Develop innovative AI flows to improve hardware and software through collaboration with various engineering roles.

Facilitate co-creation workshops to transform SME rules of thumb into specific assignments, resources, cues, and guidelines. Define success measures, evaluation data, and feedback loops for agents to make a measurable difference in our HW simulation analysis and GPU-kernel optimization workflows.

Rapidly prototype and thoughtfully productize; integrate with internal services, utilize GPU capabilities, remove bottlenecks, and deliver fitting solutions.

Set up evaluation backbone using offline golden sets and online telemetry for confident iterations, cost control, and safe improvements.

Mentor and improve teams through insights in agent orchestration, prompting, RAG, observability, crafting documentation and playbooks for our teams.