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abra R&D is seeking an Embedded Engineer! We are looking for an Embedded Software Engineer with strong C++ on Linux experience in system / HW-adjacent development, plus hands?on ability to work close to hardware when needed (bring?up). The role includes working with an FPGA?based SoC (Xilinx is a strong advantage), and light exposure to BSP/Yocto and Python scripting. The system is part of an advanced industrial platform in the semiconductor manufacturing domain, involving inspection/metrology and process control flows (high?reliability data and communication across multiple hardware modules) Responsibilities:
* Develop C++ on Linux components for system-level/HW-adjacent functionality (performance, stability, data/control flows).
* Low?level development in C for hardware interaction and board bring?up (debugging, integration, lab work as needed).
* Integrate and debug on SoC platforms with FPGA (Xilinx advantage).
* Light involvement in Yocto/BSP topics (support/maintenance level; not a dedicated BSP role).
* Use Python for scripting/automation in development and testing workflows.

Were reimagining the browser to make the web feel lighter, clearer, and more personal, with AI woven naturally into the experience to enhance everyday browsing. From search to multitasking, everything is designed to feel natural, helpful, and even a little fun. The goal is simple: remove friction, surface what matters, and help people get things done online without feeling overwhelmed. Its a product built for real users, not tech demos, and were scaling fast with a small, focused team that cares about UX and performance.

Join us as a C++ Developer & help shape online experiences for millions of users worldwide.



As part of your role, you will design the architecture, develop, and deploy a new consumer-facing product from the ground up. This role uniquely blends deep low-level R&D with the challenges of performance optimization at a large-scale. This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, data-oriented environment. If you are experienced but still hungry to learn and impact - wed love to have you on our team!



What Youll Do:

Design, build, and maintain the core modules of a cutting-edge consumer-facing product, poised to compete at the highest level with the worlds leading tech companies.
End to end research and development of complex low-level features as part of a large scale project built by a small team.
Plunge into a world of data, analytics, and ML.
Work closely with data scientists and developers to understand the business from top-to-bottom.
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends.

We are looking for a passionate Senior Full-Stack Developer to join our small all-star team. As part of your role, you will design the architecture, develop, and deploy the internal system that controls our core ML engine and bidding systems. In addition, you'll help improve the back office and infrastructure of our user-facing modules serving millions of users and impressions each day.

This is an amazing opportunity to join a multi-disciplinary A-team while working in a fast-paced, data-oriented environment.

If you are experienced but still hungry to learn and impact - wed love to have you on our team!



What Youll Do:

Take ownership of the internal systems controlling, navigating and monitoring our ML and media engines and used by all company members
Plunge into a world of data, analytics, ML, high-paced and high scale user and market movements
Work closely with data scientists and developers to understand the business from top-to-bottom and identify new modules that could turbocharge company processes
Improve our user-facing modules and tackle diverse issues like solving worldwide caching, designing A\B test systems and optimizing page performance
Technological superiority is what gives us our edge so youll work and be up to date with the latest tech and trends

We are looking for a Software Engineer -A new college Grad to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.

XM Cyber is a global leader in hybrid cloud security. XM Cyber brings a new approach that uses the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. The XMCyber platform enables companies to rapidly prioritize andrespond to cyber risks affecting their business-sensitive systems. About the role: Are you a super-talent Senior Software Engineer with a deep passion for cybersecurity and a profound understanding of AI-driven attack techniques? We are looking for a highly professional and responsible R&D member to join our team. This role is for someone who thrives on technical challenges and is ready to leverage their expertise to identify, analyze, and defend against advanced cyber threat Responsibilities: As a Senior Software Engineer in R&D, you will be a key player in the design, development, and deployment of our cybersecurity platform. Your responsibilities will include:
* Leading the research and implementation of techniques to identify and mitigate AI-related attack methods, such as data manipulation and adversarial attacks on security systems.
* Developing and integrating new security features into our platform to proactively defend against modern cyber threats.
* Collaborating with our team to define technical requirements and architectural solutions for cutting-edge security features.
* Tackling challenging technical problems at the intersection of cybersecurity and low-level systems.

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.

We are seeking a Software Engineer Team Lead with strong C++ hands-on experience. In this role, you will guide, mentor, and empower your team of C++ engineers and game engineers familiar with Unreal and Unity, while also contributing directly to the development of our software development kit. The ideal candidate for this role is someone with a wealth of experience in C++ development, and team leadership, but who also continues to find joy in coding and developing SW products.



What you'll do

Lead the SDK team, which consists of C++ engineers and game engineers familiar with Unity and Unreal Engine.
Leverage generative AI tools to accelerate code development and enhance productivity.
Develop and maintain the architecture of the SDK, ensuring it remains scalable, robust, and user-friendly.
Guide the team through the entire SDK development lifecycle, from design to release, ensuring that each process aligns with our high-quality standards.
Work directly with game studios to understand their needs and ensure seamless SDK integration.
Contribute to coding and development tasks alongside the team, serving as a role model for high-quality software engineering.
Communicate effectively with cross-functional teams and stakeholders.
Keep abreast of the latest industry trends and technologies to lead our SDK best practices to be innovative and competitive.

Write clean, scalable, and reusable code while enforcing best practices around architecture, code reviews, and testing
Collaborate with product owners to understand requirements and take full ownership from design and implementation through test automation and production deployment.
Design and implement new systems and features while enhancing existing systems with new capabilities
Mentor colleagues and promote knowledge-sharing+

we are looking for a Engineering Team Lead.
The Network Platform team is responsible for developing and maintaining robust and scalable infrastructure components used by Network applications.
As a Network platform team leader, you will play a pivotal role in shaping the infrastructure of network with defining architecture, patterns and processes.
What Youll Do:
Lead and Mentor: Manage a team of talented engineers, set technical direction, and provide hands-on mentorship to drive professional growth and high-quality delivery.
High-Impact Ownership: Take full ownership of core Network systems, leading a high-impact domain with real influence on architecture, scalability, and long-term technical direction.
Infrastructure Development: Lead the development of foundational components and building blocks that support scale, performance, and a wide variety of Network use cases.
Platform Orientation: Understand a broad range of platform requirements and work closely with multiple product teams to define and execute the teams roadmap.
Collaboration and Knowledge Sharing: Work closely with cross-functional teams, and lead workshops and technical sessions to share knowledge, insights, and best practices across the organization.
Production Mindset: Own the availability, reliability, and operational excellence of Network platform components, ensuring the highest level of stability in production.