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We are looking for a Full-Stack Tech Lead to play a key role in building this new Cybersecurity unit from the ground up.
This is a highly impactful role for an engineer who can lead end-to-end development, own architecture, and turn advanced ideas into production-ready systems. The role combines hands-on full-stack development, technical leadership, and deep integration of LLM-based AI capabilities into cyber products.
Responsibilities
Lead design and development of full-stack cyber security products, from frontend to backend.
Own system architecture with focus on scale, performance, security, and reliability.
Design and implement AI-powered capabilities using LLMs.
Drive technical decisions and engineering best practices.
Mentor and guide engineers through design and code reviews.
Work closely with product and business stakeholders in a fast-growing unit.

We are seeking an experienced technical leader to head our collective communication library development team. This role involves leading a team of engineers in developing high-performance collective communication implementations for multi-NPU and multi-node AI workloads.
Key Responsibilities
Lead the design and development of collective communication primitives (All-Reduce, All-to-All, Gather/Scatter and etc)
Architect scalable communication protocols for multi-NPU and multi-node systems
Optimize communication performance for NPU architectures
Provide technical leadership to the team members in NPU programming, distributed systems, and communication protocols
Work with a success-driven worldwide international team (Network, NPU, QA, AI, DL/ML Framework)
Define project milestones, deliverables, and technical roadmaps
Ensure compatibility with major AI frameworks (PyTorch, TensorFlow, JAX).

We are seeking a skilled software engineer to join our NPU software stack development team. This role involves developing high-performance GPU programming frameworks, runtime systems, and libraries for AI/ML workloads. You will be responsible for implementing, optimizing, and maintaining GPU software stack components to support distributed AI training and inference.
Key Responsibilities
Identify bottlenecks, analysis and optimize in distributed NPU eco-system
Design and develop NPU memory management system
Design and develop optimized NPU development framework, execution path and debugging
Develop compatibility with AI frameworks (Triton, PyTorch, JAX)
Write high-quality, well-tested code with comprehensive documentation
Collaborate with other teams (Hardware, Network, QA, AI Framework Integration)
Participate in code reviews and technical design discussions.

we are looking for an AI Platform Engineer to revolutionize engineering productivity and drive AI-powered innovation across the organization. This role is part of our Platform Engineering initiative, focused on enabling engineers and product teams with cutting-edge AI tools, intelligent automation, and scalable AI platforms.
If youre an innovator at heart, passionate about applying AI to solve complex engineering problems, and thrive in an environment that values experimentation, ownership, and entrepreneurship-this role is for you.
Responsibilities
Develop and integrate AI-powered solutions that enhance engineering productivity, automate workflows, and improve developer efficiency across the organization.
Evaluate, prototype, and implement state-of-the-art AI platforms using latest models and frameworks (e.g., ChatGPT, Claude, Gemini, LangGraph, Librechat, AWS Agentcore Bedrock) to address engineering and operational challenges.
Design, build, and maintain AI-driven internal platforms, including knowledge management systems, AI-enhanced coding assistants, intelligent automation tools, and AI-powered chatbots.
Collaborate closely with engineering, DevOps, and product teams to embed AI capabilities into everyday development workflows.
Lead Proof-of-Concept (PoC) initiatives, experimenting with LLMs, generative AI, and automation frameworks to deliver tangible business impact.
Research emerging AI trends, tools, and models, and translate them into practical, production-ready solutions.
Build and operate scalable AI infrastructure that integrates with cloud environments and existing engineering toolchains.
Promote a culture of innovation by empowering teams to adopt AI-driven solutions and sharing knowledge and outcomes across the organization.

As the AI Research Team Lead, you will lead a specialized team of researchers focused on high-performance AI systems, including GPU optimization, networking architectures, and collective communication strategies. You will define research directions, mentor the team, and collaborate closely with major industry players to align research with real-world applications and standards.
Key Responsibilities
● Lead and manage a team of AI researchers focused on GPU acceleration, networking, and collective communication.
● Define and execute research strategies aligned with company and industry goals.
● Conduct advanced research in AI infrastructure, distributed training, model optimization, and high-performance computing.
● Translate research findings into practical solutions for production-scale AI systems.
● Collaborate with leading industry companies to align research with emerging standards and real-world challenges.
● Identify bottlenecks, analysis and optimize in distributed GPU eco-system
● Participate in code reviews and technical design discussions.

we are seeking a senior AI Researcher to join its R&D group and lead the frontier of large-scale LLM optimization. You will focus on maximizing performance, scalability, and efficiency of LLM training and inference across massive GPU clusters, bridging deep learning research, distributed systems design, and hardware-aware optimization.
At our company, we treat AI performance as a systems problem. Just as we reinvented networking through disaggregation and software-defined scale, were applying the same philosophy to AI infrastructure. Your work will directly influence how large models are deployed, scaled, and optimized across high-density compute environments.
Key Responsibilities
● Conduct cutting-edge research in artificial intelligence and machine learning, from problem formulation to experimental validation.
● Research, design, implement and evaluate novel algorithms, models, optimization strategies and architectures across areas of large-scale LLM training and inference (e.g., tensor/pipeline/expert parallelisms, quantization, prefill/decode disaggregation, GPU communication optimization).
● Translate research ideas into working prototypes and production-ready solutions.
● Stay up to date with state-of-the-art research, frameworks, and emerging trends in the AI ecosystem.
● Publish research findings internally and externally (papers, technical reports, blog posts, or patents) and present results to internal and external technical audiences.
● Collaborate closely with engineers, product teams, and other researchers to align research with real- world impact
● Profile distributed training and inference pipelines - identifying algorithmic, memory, and scheduling inefficiencies to contribute to a technical decision-making and long-term research roadmaps.
● Validate research through measurable impact, higher throughput, better FLOPS utilization, improved convergence efficiency, or reduced compute cost.

We are establishing a new backend group that will take full ownership of a core application area.
We are looking for a Senior Backend Developer who will lead the backend effort end-to-end - from initial architecture and technology choices, through implementation and scaling, and into long-term ownership and evolution.
This is a hands-on technical leadership role. You will design, build, and own production systems, work closely with multiple teams, influence product direction, and set the technical bar for the group.
We embrace an agile mindset - you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements.
Responsibilities
Take full ownership of the backend architecture for a major application area
Design and implement scalable, reliable, and maintainable backend systems
Lead technical design and decision-making, including technology and architecture choices
Work closely with product, frontend, platform, and other backend teams
Participate in product vision discussions, brainstorming, and planning sessions
Translate product requirements into robust technical solutions
Write high-quality, production-grade code
Drive debugging and root-cause analysis of complex production issues
Ensure best practices in performance, reliability, security, and observability
Mentor and technically guide other backend engineers as the group grows.

We are establishing a new backend group that will take full ownership of a core application area.
We are looking for a Senior Backend Developer who will lead the backend effort end-to-end - from initial architecture and technology choices, through implementation and scaling, and into long-term ownership and evolution.
This is a hands-on technical leadership role. You will design, build, and own production systems, work closely with multiple teams, influence product direction, and set the technical bar for the group.
We embrace an agile mindset - you should be comfortable with context switching, handling multiple priorities, and adapting quickly to changing requirements.
Responsibilities
Take full ownership of the backend architecture for a major application area
Design and implement scalable, reliable, and maintainable backend systems
Lead technical design and decision-making, including technology and architecture choices
Work closely with product, frontend, platform, and other backend teams
Participate in product vision discussions, brainstorming, and planning sessions
Translate product requirements into robust technical solutions
Write high-quality, production-grade code
Drive debugging and root-cause analysis of complex production issues
Ensure best practices in performance, reliability, security, and observability
Mentor and technically guide other backend engineers as the group grows.

We are looking for a Senior Frontend Developer to join our group, where we build scalable, high-performance systems that manage complex network infrastructures at massive scale.
In this role, you will take end-to-end ownership of a core domain within our application - an area defined by complex user workflows, intricate application logic, and high-scale data interactions. You will be responsible for shaping its technical direction, ensuring architectural soundness, and building the foundation that enables the domain to evolve alongside a broad and ambitious roadmap.
This is a high-impact position that requires strong technical judgment, long-term thinking, and a commitment to engineering excellence in a fast-paced, collaborative environment.
Responsibilities
Design and implement complex UI workflows with advanced client-side logic.
Architect scalable frontend solutions to support high-volume data and real-time interactions.
Build and maintain domain-specific infrastructure, abstractions, and reusable components.
Lead major technical decisions and guide implementation strategies.
Integrate real-time data streams into responsive, reliable interfaces.
Develop advanced visualization components (e.g., graph-based UIs).
Write comprehensive unit and E2E tests to ensure stability and maintainability.
Optimize performance, accessibility, and overall user experience.
Collaborate closely with backend engineers, product managers, and UX designers.

we are a leader in high-scale disaggregated networking solutions, modernizing how service providers, cloud providers, and hyperscalers build networks. Supporting the largest network in the world, more than half of AT&Ts backbone traffic runs on our companys Network Cloud architecture.
we are launching a new and exciting Cybersecurity business unit, focused on delivering advanced cyber solutions for Tier-1 Service Providers, leveraging our companys scale, performance, and cloud-native foundations.
What youll do
Take ownership of projects and features in our Cybersecurity solution from concept to production, managing all aspects, including technical design, implementation, testing, release
Write clean, efficient code using AI-powered coding tools, with a strong emphasis on comprehensive test coverage
Innovate with new technologies and enhance existing systems, concentrating on performance optimization, code design, production testing, and more working on our Design System, bundlers, frontend libraries, E2E frameworks, and other infrastructure tools
Work with cutting-edge full-stack technology while staying up to date with the latest standards and best practices
Collaborate with Full-Stack and backend developers.

We are seeking a Senior Network Engineer to join our AI datacenter development team. This role involves testing, validating, and scaling advanced network infrastructure across multi-vendor environments. You will be responsible for replicating real-world AI datacenter topologies, validating performance under stress, and ensuring network solutions deliver uncompromising reliability, scalability, and performance.
Key Responsibilities
Define and execute regression, functional, performance, and scale test suites for network infrastructure
Investigate complex performance and scaling bottlenecks in AI datacenters
Design and build customer-scale testbeds emulating diverse network architectures
Write and debug automation scripts (Python, Bash) to drive traffic generators and manipulate test environments
Analyze large-scale test data to identify root causes of hardware/software issues across multi-vendor platforms
Collaborate with R&D and architecture teams to validate ASIC and micro-architectural behaviors
Support POC efforts, innovation initiatives, and customer use-case reproductions
Generate comprehensive test reports highlighting results, insights, and recommendations
Validate network protocols and hardware-software interactions in AI workloads.

This is where the creative arts meet technology. If theres one thing we all have in common, its a love of music and film, which is why we build innovative products to help global brands and individual creators make amazing videos. Creative AI and tools, built for creators Our mission is to empower creators and brands to bring their vision to life with video. We provide the newest AI tools and models for image, video, and voiceover, all in one place - along with high-quality creative assets and powerful editing tools. We are the choice of over 30 million creators worldwide, helping you stay on trend, create with confidence, and achieve your creative goals.
Were looking for a Senior Mobile Product Designer with exceptional visual and UI skills to lead the design of our native mobile experience. As we enter a new era of AI-powered creativity, you will shape how millions of creators interact with our tools on the go - designing app interfaces that are not only intuitive but beautiful, expressive, and unmistakably. You are a mobile-first thinker who understands the nuances of IOS and Android patterns, lives for smooth transitions, and knows how to translate complex creative workflows into a thumb-friendly, cinematic mobile experience.
What Youll Do
Lead end-to-end mobile design: Own the product design lifecycle for our native apps - from mobile-specific user flows and wireframes to refined, high-fidelity UI and micro-interactions. Craft premium mobile interfaces: Deliver polished, visually compelling screens with a mastery of typography, layout, and hierarchy, tailored for various mobile screen sizes and densities. Design for AI on Mobile: Create intuitive, AI-powered mobile experiences, making advanced creative capabilities accessible and inspiring through touch-based interactions. Master Motion & Interaction: Design seamless transitions and motion cues that enhance the mobile UX, ensuring every gesture feels fluid and premium. Advance our Mobile Design system : Contribute to and extend our design system with a focus on native mobile components, tokens, and scalable patterns for IOS and Android. Cross-functional partnership: Collaborate closely with Mobile Engineers, Product Managers, and Brand designers to ensure technical feasibility and a cohesive experience across platforms. Iterate with data & Prototyping: Use high-fidelity mobile prototypes (Figma/Protopie) and user research to validate designs and improve usability on real devices.