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.

We are looking for an outstanding Senior Technical instructor to join our Education Services team. In this role, you will provide advanced training on our data center, AI, and HPC platforms to customers and partners around the world. You will also contribute to developing training content, including presentation decks, hands-on manuals, and supporting materials. You will help engineers, architects, and operations teams build the skills needed to design, deploy, and operate our-powered AI data centers with confidence. As part of this, you will take part in the design of hands-on workshops and lab environments that simulate real systems and data center components, enabling learners to practice on realistic end-to-end scenarios.

What youll be doing:

Deliver in-person and remote technical training on our data center, AI, and HPC platforms for customers and partners, with up to 25% travel as needed.

Lead lab-based training sessions that walk learners through end-to-end workflows on our GPUs, DGX/GB200 systems, high-speed networking, and AI/HPC software stacks.

Collaborate with internal experts and content developers to build agendas, exercises, and demos that reflect real customer use cases and guidelines.

Serve as a subject-matter guide (SME) for a dedicated production team and learning developers. They build primary content. Partner with them on slideware, lab guides, videos, simulations, visual demos, and exercises. Ensure technical accuracy and realism.

Act as a technical ambassador for us in front of partner and customer audiences, answering inquiries, facilitating discussions, and guiding learners through fix and what-if scenarios.

It starts with you - an AI Engineering Team Lead responsible for leading a team building production-grade agentic systems. This role combines hands-on technical leadership with people management, ownership of architecture, delivery, and quality across agents, MCP tools, agentic workflows, RAG systems, and evaluation.
If you want to grow your skills building AI products for mission-critical AI, join our companys mission - this role is for you.
The Responsibilities
Lead and mentor a team of AI Engineers building agentic systems and MCP tools.
Own technical direction for agent architectures, workflows, and LLM evals.
Review designs and code; ensure production readiness, reliability, and security.
Drive adoption of frameworks such as LangChain, LangGraph, or equivalent.
Set standards for RAG pipelines, vector databases, and retrieval quality.
Partner with product and platform teams on roadmap, scope, and delivery.
Balance hands-on contribution with people management and execution.
Build a culture of strong engineering practices, measurement, and iteration.

In this role, you will help shape the evolution of our DOCA Networking software stack - the accelerated infrastructure framework powering AI factories and cloud environments. You will drive software innovation from vision to real-world impact, influencing some of the most advanced computing systems in the world. As part of the DOCA Product Group, you will lead software strategy for ConnectX NIC and BlueField DPU platforms - key pillars of our data center and AI networking strategy - helping build the intelligent infrastructure of tomorrow.

What You'll Be Doing:

Lead the Product-strategy for DOCA networking stack and products across their life-cycle: from vision and inception, through detailed customer & ecosystem requirements, roadmap crafting, market introduction, growing into in-scale delivery, and product improvement cycles.

Orchestrate a unified technical strategy between AI product teams, engineering teams, and customers to advocate the use of DOCA libraries & microservices, and to develop new DOCA APIs and services for new deployments.

Drive multidisciplinary engineering and architecture teams to establish priorities and define precise, actionable requirements for breakthrough projects.

Forge strong partnerships with customers and ecosystem partners - actively listening to their technical needs, delivering expert guidance, and supporting successful, large-scale AI (and other) deployments that drive their strategic goals.

Create use cases and reference applications to demonstrate product value to technical and executive audiences.

Gather insights to define future products, including analysis of complementary and competitive products and customer feedback.

We are rapidly growing into various verticals as stated above and looking to grow our team with a developer relations leader. This role is a key member of the team that would manage our technical engagements in leading industries such as general AI/ML applications development, consumer internet, AI on embedded systems and others; and to evangelize our portfolio of technologies and accelerate its adoption among developers. Have strong technical competence and the ability to be a leader who can function effectively and independently in a matrixed environment to groom and guide developers.

What you will be doing:

Your main responsibility will be developing a technical strategy to assure GPU and our platforms' adoption for the selected industries focusing on priorities. You will need to establish relationships and influence the technical leaders and technical communities, specifically developers, startups and ISVs within these industries. You will evangelize and develop our leadership position in this market by accelerating the availability of GPU-accelerated AI and data Science applications in the specified market by helping developers understand the value of our hardware products and SDKs in addressing critical development opportunities. Lead participation in targeted customer and industry developer events and activities. Chair technical activities spanning product divisions and sales geographies, particularly with solution architects, software developers and engineering resources, developer marketing contribute towards our local ecosystem strategy and development of our value messaging for your customers. Be the key advisor to how we are differentiated. You will become a technology mentor and focal point for the software developer community.

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 have been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technology-and amazing people. We seek an Senior SW Performance Engineer to join our performance verification team. As a Performance Engineer, you will have to work closely with our development and architecture teams responsible for Ethernet AI solution and gain a deep understanding of our products and technologies.

What youll be doing:

Participate in an international team of software engineers working on products for testing our products.

Build automated verification environment for high-end hardware and software which is at the forefront of innovation.

Identify, analyze, and report software defects, inconsistencies, and other quality issues.

Drive improvements for performance, quality, stability around SW acceleration solutions.

Stay up to date with industry standard methodologies, new technologies, and emerging trends in software verification.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As the Performance Modeling Manager, you will lead a team of high-performing engineers responsible for the software performance models that are used to guide the future of our companys custom silicon. You will bridge the gap between software architecture and hardware implementation, ensuring that our next-generation CPUs and NICs are optimized for our companys most critical workloads, such as Gemini, Search, and Cloud AI.
In this role, you will lead a team of high-performing engineers in the development of sophisticated performance models and oversee the conduct of deep-dive architectural analyses. By guiding the team to explore various architectural alternatives under different scenarios, you will ensure the identification of bottlenecks and provide data-driven guidance to architects on preferred hardware implementations. Your focus will be on leading the technical roadmap and career development while maintaining high-level architectural influence across both CPU and NIC modeling domains.
The AI and Infrastructure team is redefining whats possible. We empower our company customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers, our company Cloud customers, and billions of our company users worldwide.
We're the driving channel behind our company's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for our company Cloud, our company Global Networking, Data Center operations, systems research, and much more.
Responsibilities
Build, lead, and mentor a team of performance modeling engineers, fostering a culture of technical excellence and innovation in the Tel Aviv and Haifa silicon space.
Define the goal for performance modeling tools and methodologies, ensuring they provide highly accurate projections for future architectural pivots.
Partner with Hardware Architects, Silicon Designers, and Software Workload teams to influence SoC specifications based on data-driven modeling results.
Drive the development of advanced SystemC performance simulators and infrastructure, ensuring scalability and correlation with post-silicon performance.
Serve as a subject matter expert in CPU/NIC micro-architecture, guiding the team through complex trade-off analyses (power, area, performance).

We seek a highly motivated Network Performance Exploration Engineer to join our team of experts and help shape the foundational infrastructure for the AI revolution. Our next-generation networking systems are at the forefront of connecting and powering the world's most advanced AI clusters. As a key member of our architecture team, you will be responsible for exploring and identifying critical network optimization opportunities across our entire hardware and software stack, analyzing how system-level changes impact application-level performance.

What Youll Be Doing:

Explore and validate end-to-end application performance, defining comprehensive test plans and critical metrics to identify optimization opportunities in both hardware and software.

Establish and maintain a comprehensive database of benchmark results, tracking performance across releases to drive data-informed decisions.

Conduct deep-dive analysis into communication libraries (like NCCL), system software, and hardware configurations to investigate performance characteristics, validate architectural theories, and identify bottlenecks.

Provide critical performance data to correlate and enhance simulation tools, ensuring our models accurately predict real-world hardware behavior.

Analyze application-level traffic patterns (e.g., LLMs) on our advanced networking fabrics to identify hardware and software optimization opportunities and tune system parameters.

Lead Proof-of-Concept (POC) projects to prototype and evaluate potential hardware and software optimizations and their impact on application performance.

Were growing fast, and our team is passionate about pushing AI engineering to new heights - solving complex problems in LLM training, inference optimization, reasoning, and agent orchestration at scale.
About the Role:
As a Machine Learning Engineer, youll work on cutting-edge
code-focused LLMs and AI agent systems
that power next-generation developer platform. Youll be at the center of research, model training, and productionization of intelligent systems that understand software deeply, collaborate with developers, and help automate engineering workflows end-to-end. Your work will immediately impact millions of engineers worldwide.
Responsibilities:
Push LLM Innovation: Research, design, and fine-tune domain-specific LLMs for code generation, refactoring, debugging, and multi-turn reasoning.
Agent-Oriented Development: Build multi-agent coding systems that integrate retrieval-augmented generation (RAG), code execution, testing, and tool use to create autonomous, context-aware coding workflows.
Production-Grade AI: Own the training-to-inference pipeline for large code models-optimize inference with quantization, distillation, and caching techniques.
Rapid Experimentation: Prototype and validate ideas quickly; leverage reinforcement learning, human feedback, and synthetic data generation to push accuracy and reasoning.
Cross-Functional Collaboration: Partner with product, engineering, and design teams to ship AI-powered features that help developers focus on high-impact work.
Scale the Platform: Contribute to distributed training, scalable serving systems, and GPU/TPU-efficient architectures for ultra-low-latency developer tools.