דרושים » תוכנה » Senior Software Architect, AI Cloud

The Ecosystems Engineering group is seeking a Principal Software Engineer to join our rapidly growing team to bridge the gap between cutting-edge hardware and world-class open-source software. This is a high-impact role at the intersection of Hybrid Cloud and AI. You will lead the design and productization of next-generation AI solutions, focusing on the deep integration of software stack with Nvidias hardware acceleration technologies.
This is a game-changing opportunity to join an open-source AI platform that harnesses the power of hybrid cloud to drive innovation. In this role, you will work with a diverse team of highly talented engineers, product teams, Nvidia engineers, and lighthouse customers.
You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to innovative AI and cloud offering . This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development.
What You Will Do:
Architect and lead the implementation of new features and joined solutions for AI & Cloud with Nvidia cutting edge technologies: GPU, DPU and more.
Explore deep code integration into various products, ensuring optimal integration between the portfolio, hardware accelerators and partners.
Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met.
Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to partners and customers.
Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings.
Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats.
Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge.
Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling.

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.

We are seeking an experienced engineer to join our team that owns the network stack for EC2 distributed AI/ML systems. The team develops support for a variety of frameworks and communication libraries including NCCL, NVSHMEM, NIXL, NCCL GIN, and Perplexity kernels. Solid knowledge of Linux, networking, and performant coding is important. Experience with embedded systems is valued, and experience with high-speed networking or HPC/RDMA interconnects is highly valued.

If you like solving hard problems, want to work with HPC and ML customers, iterate fast and deliver meaningful solutions at scale, then come join us! This truly is a role at the forefront of AI/ML-you'll be working on features for the largest clusters, with the largest customers, for the largest AI models.

Key job responsibilities
Be a senior engineer on a team that builds and maintains the infrastructure that monitors and reports on functionality and performance of massive testing workloads run at scale. Use our internal CI/CD tools, Linux, and public AWS products to automate the delivery of our software to customers, saving developer time. Write Python code that effortlessly spools up large clusters and runs benchmarks and applications for ML and HPC workloads. Use AWS Managed Grafana and Athena to digest the massive amount of performance data generated by these workloads and create dashboards for developers and stakeholders. Invent automatic mechanisms to alert developers to functional and performance regressions so they never reach reach customers. Manage the complexity of infrastructure that covers many instance types, software stacks, Linux operating systems, cutting-edge releases and make it easy to evolve.

The Falcon Secure Access (FSA) team at CrowdStrike is expanding. As a Senior Software Engineer on our team, you will architect and deliver a next-generation secure access platform that converges Zero Trust Network Access with browser-native security.

You'll build the core systems that enable users to seamlessly and securely access internal sites, private applications, and cloud resources directly from the browser - without legacy VPNs or remote desktops - while enforcing real-time protection against zero-day exploits, phishing, data exfiltration, and unauthorized access.

This role sits at the intersection of network engineering and browser security: you'll design and implement advanced proxy communication, secure tunneling, and identity-aware routing - all operating at the browser's core to deliver holistic protection including DLP, insider threat detection, SaaS security, and continuous zero-trust verification.

What You'll Do:

Design and build ZTNA infrastructure - implement zero-trust access policies, secure tunneling, and identity-aware network routing that replaces traditional VPN architectures

Develop advanced networking solutions - build and optimize proxy communication layers, WebSocket-based transport, and encrypted client-to-server channels that handle millions of concurrent connections

Architect high-scale backend systems - design distributed microservices for policy enforcement, real-time threat detection, and access control at scale using Node.js / TypeScript

Implement secure client-server communication - design highly secured agent-to-cloud architectures with certificate pinning, mutual TLS, and encrypted tunneling protocols

Build browser-native security components - develop browser extensions and agents (Chrome, Edge, Firefox etc.) that enforce data protection, prevent data leakage, and provide granular visibility and control

Own features end-to-end - from design through delivery, including deployment and monitoring

Influence architecture and roadmap - play a key role in architectural decisions, building toward an efficient distributed zero-trust architecture

Research and develop - drive new initiatives and POCs in zero-trust access domains and browser security

Collaborate cross-functionally - work with security researchers, product, and platform teams across multiple locations to solve complex problems

Shape the Future of AI Infrastructure with our company
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," we are building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless workers who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are seeking a talented and experienced Software Engineer to design, build, and optimize high-performance distributed systems, core data engines, and backend infrastructure. This role requires deep system-level architecture understanding, the ability to handle large-scale clusters processing petabytes of data, and mastery of modern C/C++ and Linux environment internals.

we are looking for a Technical Solution Architect to join our Solutions team. In this role, you will work closely with customers, Sales Engineers, Product, and Engineering to deliver successful Proofs of Concept (POCs) and solve complex technical challenges.
Everyone at our company is a builder. In this role, youll contribute directly to the company platform by building product features, developing proof-of-concepts for customers, and creating internal tools that improve, streamline, and accelerate the POC process.
This is a highly hands-on position for someone who enjoys diving deep into customer environments, working with data, building technical solutions, and creating value beyond the product itself. You'll play a key role in helping enterprise customers realize the full potential of our AI security platform while influencing product direction through real-world customer feedback.
What You'll Do
Lead the technical execution of customer Proofs of Concept (POCs), from initial design through successful delivery.
Partner with Sales Engineers to provide deep technical expertise throughout the sales cycle.
Build tools to accelerate deployments and demonstrate customer value.
Participate in customer workshops, architecture discussions, and live debugging sessions.
Analyze raw customer data to uncover insights and validate platform capabilities.
Design creative technical solutions that address customer use cases, even beyond the platform's out-of-the-box capabilities.
Troubleshoot complex technical issues across customer environments and work closely with Engineering to resolve them.
Collaborate with Product and R&D to communicate customer feedback and influence future product capabilities.
Build technical best practices, reusable assets, and implementation playbooks to improve future deployments.
Serve as a trusted technical advisor throughout the customer journey.

abra professional services is seeking a Data Analytics Architect / Principal Data Engineer We are looking for a skilled Data Analytics Architect / Principal Data Engineer to lead the organization’s analytics data domain, design large-scale data architecture, build advanced analytical models, define organizational data modeling standards, and implement innovative AI and LLM-based technologies. This role requires deep expertise in data engineering, analytics, BI, SQL, PostgreSQL, data modeling, performance optimization, data governance, and the integration of AI tools into data engineering processes. A full-time hybrid position based in Central Israel. The first 4–6 months will be based in Tel Aviv, followed by a transition to the Lod area. The position includes 1 day a week remote. Key Responsibilities:
* Design and develop data architecture that supports large-scale analytics and business intelligence.
* Lead the design and implementation of complex data models and enterprise data modeling solutions.
* Define organizational standards, methodologies, and best practices in the data domain.
* Optimize database performance, analytical queries, and reporting processes.
* Lead LLM-based development and implement AI tools within data engineering processes.
* Mentor data engineers, conduct code reviews and architecture reviews.
* Collaborate with management and business stakeholders to build a technological roadmap.
* Establish frameworks for data quality and data governance.
* Lead initiatives to improve the reliability and stability of BI and analytics systems.
* Evaluate new technologies and lead the adoption of innovative solutions across the organization.
* Lead the design and implementation of end-to-end analytics platforms.

In this role, you will be shaping the future of our companys AI software stack for Neural Processing Units (NPUs). You will lead software architecture, define performance-critical components, and enable efficient execution of advanced neural networks under tight power, memory, and latency constraints.
You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of our company NPU embedded solutions, actively promoting our company AI capabilities to the customers.
We are seeking a high-impact motivated Software Architect to join our team and help shape the future of our advanced neural network AI Software Toolchain over our companys AI computing processors.
Responsibilities
Lead Software Architecture specification and supervise design for the most advanced Software Toolchain handling state-of-the-art Neural Processing Unit operation.
Collaborate proactively with Product, Architecture, VLSI and Software teams to promote software leadership over various markets and compute SoCs.
Explore and translate state-of-the-art neural network and AI applications requirements into software architecture flows, encompassing hardware, software, tools and other components.
Evaluate architecture proposals, internal and external IP features and provide influential and inspirational leadership across hardware and software to align all parties to a common vision of architecture & technology development.
Represent our company with high technical credibility in customer meetings, appropriately incorporating feedback.
Boost velocity of development teams by providing technical guidance and by constantly looking ahead to anticipate and resolve future challenges.
Conduct experiments, invent and drive development of supporting tools such as simulators, models, profilers, and other methods as required.
Engage with engineering leadership and product planning stakeholders to develop technology roadmap.

We are looking for a Hands-On Software Architect to join our architecture group and work alongside some of the most experienced engineers in the industry.
As a Hands-On Architect, you will actively design, build, and evolve large-scale software systems, set technical direction, and work day-to-day with development teams, product, and other stakeholders to deliver reliable, scalable solutions.
If you are passionate about making real impact, enjoy solving hard problems end-to-end, and thrive in distributed systems that process billions of events per day, wed love to talk.
What Youll Do:
Lead the design and implementation of complex, distributed software systems in production.
Work closely with developers, product owners, and stakeholders to translate business needs into practical, scalable architectures.
Define and drive engineering standards: architecture patterns, coding standards, testing strategies, and operational best practices.
Stay hands-on: write code, review code, and participate in technical problem-solving across teams.
Mentor and coach developers and tech leads, raising the overall technical bar.
Review designs and implementations to ensure solutions are high-quality, maintainable, and resilient.
Continuously evaluate new technologies and approaches, recommending improvements where they provide clear value.
Be involved in production systems: deployments, observability, performance tuning, and incident analysis.

We are seeking an experienced and highly motivated C++ Software Engineer to join the Compiler team of our Network Technology R&D organization, contributing directly to the evolution of next-generation networking products.
Meet the Team
Our team builds firmware, SDKs, simulators, and compilers for the architecture - the industrys first routing and switching silicon architecture unifying networking across all layers. You will work on pioneering technology that powers the future of the Internet.
You will be part of a global team working on the newest generation, which will be integrated across the entire portfolio of our devices.
You will collaborate with worldwide distributed R&D centers, gaining exposure to some of the most talented engineers in the networking industry. We look for people who love technology and engineering-people who thrive on innovation, continuous learning, and challenging whats possible.
Your Impact
Design, implement, and test a state-of-the-art optimizing compiler for us
Evaluate and optimize code performance, including debugging, code generation improvements, and pipeline analysis
Develop, optimize, and enhance the compiler backend to fully leverage cutting-edge hardware capabilities
Solve complex resource management challenges across hardware pipelines
Design and implement new P4 language features that empower network application developers
Build and maintain the compiler toolchain for custom networking applications
Contribute to libraries, analysis tools, and supporting infrastructure
Collaborate with cross-functional hardware and software teams
Work closely with ASIC engineers on next-generation IC design, influencing hardware through compiler insights prior to tape-out.