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We are seeking a highly motivated and experienced Team Leader to join our Fly group and be responsible for planning, coordinating, and leading technical projects across the full delivery lifecycle.To join us, you should bring strong hands-on leadership, combining technical excellence with innovation, leading by example, and mentoring your team while fostering close collaboration with product partners and external stakeholders.
As an R&D Team Leader you will:
Lead a team of 5-7 developers working on a large-scale, complex, and innovative product
Manage the delivery of multiple domains within the product, spanning various disciplines and technologies from design through release
Identify and manage risks and challenges, ensuring alignment, commitment, and high-quality execution across all stakeholders
Make key decisions that focus effort on the most impactful opportunities for the successful implementation of team initiatives
Take an active role in recruiting, onboarding, and mentoring new team members to build a strong, collaborative, and high-performing team
Contribute to the architecture and design of the different solutions, while exploring new technologies to drive innovation and scalability.

In this role, you will be a key contributor to the design and implementation of AI Graph Compiler software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling 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 NPU embedded solutions, actively promoting AI capabilities to the customers.

What will you do:

Own and design key components of the AI Graph Compiler software stack for NPU-based systems.

Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.

Collaborate on HW-SW co-design, influencing NPU architecture.

Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.

Mentor junior engineers and contribute to technical best practices.

The AI Graph Compiler Engineer will design and develop next-generation graph compiler technologies enabling efficient execution of advanced AI models on Neural Processing Units (NPUs) used in edge and embedded AI devices. In this role, you will work at the intersection of AI frameworks, graph optimization, and hardware acceleration, enabling efficient execution of neural networks on cutting-edge AI hardware.

You will work at the intersection of AI frameworks, compiler infrastructure, and hardware acceleration, helping translate high-level AI models into highly optimized executions on NPUs.



What will you do:

Develop and enhance AI graph compiler components targeting NPU architectures. Implement graph-level optimizations such as operator fusion, scheduling, memory planning, and layout transformations. Participate in lowering models from AI frameworks (e.g., PyTorch, ONNX, TensorFlow) into NPU-optimized representations. Contribute to compiler passes focused on performance, memory efficiency, and numerical correctness. Collaborate closely with hardware, runtime, and AI framework teams to achieve optimal end-to-end performance. Analyze performance bottlenecks and assist in compiler-based optimizations. Debug and resolve issues across compiler, runtime, and hardware layers. Support testing, validation, and documentation of compiler features.

Lead and mentor a team of software engineers developing Sensing AI SDK. Architect and implement high-performance sensing SW components for AI, vision, Audio and voice optimized for vectorize SIMD execution. Collaborate with compiler and DevOps teams to ensure efficient development and deployment. Drive technical excellence through code reviews, design discussions, and continuous improvement. Own the SDK roadmap, planning, and delivery cycles. Engage with customers to enable successful pre-sale processes, support integration and gather feedback.

In this role, as Embedded Software Team Leader, you will lead a software team taking major part in developing AI framework. This framework is at the heart of the AI software offering, with deep impact on multiple hardware and software teams ability to execute state of the art LLM, Generative AI and Neural Networks with extraordinary performance. You will lead a team of creative and result oriented enthusiasts that invent, design, and implement software that enables smooth connectivity between the NPU and Host CPU.

Key Responsibilities:

Lead and manage the Embedded Software engineering team, ensuring high performance and productivity. Oversee the design, development, and implementation. Collaborate with cross-functional teams to integrate solutions. Provide technical guidance and mentorship to team members. Ensure project timelines and deliverables are met. Conduct performance reviews and support professional development of team members. Collaborate globally with architects, HW teams, NPU teams, and other developer teams.

As a Graph Compiler Software Manager, you will lead the development of next-generation graph compiler technology. This compiler is a cornerstone of AI software offering, empowering customers to optimize, map, and execute complex neural networks across architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.

Key Responsibilities:

Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.

Own and design key components of the Edge AI software stack for NPU-based systems.

Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.

Collaborate on HW-SW co-design, influencing NPU architecture.

Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.

Mentor junior engineers and contribute to technical best practices.

Would you like to learn about the inner workings of Azure Edge? Are you excited about jumping deep into various areas and composing a bigger picture? we are leading the way to extend Azure cloud services to sovereign, disconnected, edge, enterprise, and hybrid scenarios. Deploying hyperscale services into hybrid and disconnected clouds provides unique and innovative engineering challenges. If you are inspired by this cloud innovation, have the skills to secure and build production grade services, and are looking for a dynamic and collaborative team environment, come talk to us!
Responsibilities:
If you are passionate about advancing security and staying ahead of sophisticated threats, this is your opportunity. As a Software Engineer, you will:
Design, develop, and maintain security solutions for Edge and cloud environments, focusing on cryptography, keys and certificates.
Lead technical architecture and design discussions, driving innovation in secure Azure Edge technologies across Windows and Linux.
Collaborate with cross-functional teams to deliver scalable, reliable, and efficient security features for Specialized Clouds.
Mentor junior engineers, fostering a culture of excellence, collaboration, and continuous learning.
Analyze emerging security threats and implement proactive measures to protect users, devices, and cloud workloads in the edge.

We seek an embedded security researcher to join us in developing cutting-edge cybersecurity projects.

Responsibilities:

As an Embedded security researcher, you will be dealing with:

Embedded systems reverse engineering.
Kernel drivers research and development.
Real-time Embedded End-to-End Low-Level software developments on various unique embedded platforms and environments.

We are looking for a Windows engineer to join us in developing cutting-edge cybersecurity projects.

As a Windows engineer, you will be dealing with:
Developing user-mode applications and complex Windows Drivers.
Designing and developing components for the company's flagship security product.
Low-Level R&D.
End to End product development.

We are looking for a senior embedded software engineer to join us in researching and developing cutting-edge cyber security projects.

Responsibilities:

As an Embedded researcher and developer, you will be dealing with:

Real-time Embedded End-to-End Low-Level software development on various unique embedded platforms and environments.

Researching complex Embedded systems.

As a Low Level Developer, you will:
Play a central role in advancing the features and infrastructures of one of our security products
Lead features, end to end, from concept and design to production
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows
Find and implement creative solutions to technical challenges.

As a Software Intern (Malshab), you will:
Take a central role in advancing the features and infrastructures of one of our core products
Collaborate closely with multiple teams to analyze, develop and implement new workflows and features
Troubleshoot and debug complex flows while finding and implementing creative solutions.

As our Senior Software Engineer, you will design and develop complex high-performance, high-quality software, spanning across algorithms, application logic, and infrastructure.

Our system is built in a microservice architecture that interacts with external systems (such as the blockchain and our partners systems) and meets demanding performance, resilience, and security requirements. The code is written mostly in Python and in C++ and utilizes continuous delivery and automated testing methodologies.

Were seeking an outstanding hands-on System Software Engineering Manager with deep knowledge of low-level software design to lead a team of experts, and play a vital role in designing and implementing our firmware, drivers, and runtime components . If you're passionate about hardware/software interaction and thrive in a collaborative, problem-solving environment - we want you!
Responsibilities:
Lead and mentor a team of 3-5 software engineers
Drive design and implementation of critical components such as our low-level drivers and system-level software
Collaborate with cross-functional teams, including hardware engineers, to ensure seamless integration of software and hardware components.
Debug and troubleshoot issues at various levels of the software stack, from the host system to the emulator or RTL simulator.
Collaborate with the product management team to understand customer requirements and translate them into software solutions.