דרושים » תוכנה » Senior Software Engineer (Agentic Search) - Web Rendering Engineer

We are looking for a Senior Software Engineer to build the rendering infrastructure behind a novel search engine designed for agentic AI. In this role, you will design systems that transform modern web applications into high quality structured content for search and AI. You will work on browser rendering, JavaScript execution, and large-scale rendering infrastructure capable of processing billions of pages efficiently. Modern websites increasingly rely on client-side rendering, dynamic data loading, and complex application frameworks. Your work will ensure we can reliably render, understand, and extract valuable information while minimising cost and latency.
In this position, your responsibility will be to:
Design and build large-scale rendering systems for modern web applications
Develop browser-based rendering infrastructure capable of executing complex JavaScript applications reliably
Research how modern frontend frameworks render and deliver content
Improve rendering quality, completeness, and performance across diverse websites
Optimise rendering cost, latency, resource utilisation, and throughput at internet scale
Translate rendering research into reliable production systems

We are looking for a Senior Software Engineer to build the web access infrastructure behind a novel search engine designed for agentic AI.
In this role, you will investigate how modern websites communicate with browsers and translate that understanding into production systems operating at internet scale. You will build browser infrastructure and tooling that enables reliable, efficient access to web content across a rapidly changing web.
Your responsibilities will include:
Research and analyse how modern websites communicate with browsers across the complete request lifecycle
Investigate browser fingerprinting, client verification mechanisms, and modern web technologies to enable reliable web access
Build tooling for browser instrumentation, debugging, observability, and large-scale experimentation
Translate technical research into production systems operating at internet scale

We are looking for a Senior Front-End Infrastructure Engineer to help shape the foundation of our digital ecosystem across multiple brands and products. You will build the infrastructure, tooling, and engineering capabilities that enable teams to move faster, release with confidence, and scale effectively. Your work will directly impact developer experience, platform reliability, performance, experimentation capabilities, and the overall success of our digital brands.
This role is focused on solving complex engineering challenges with organization-wide impact. We are looking for a developer with deep technical expertise, a platform mindset, and a strong sense of ownership, someone who understands how engineering decisions drive business outcomes and enjoys building solutions that improve how teams build, test, release, and scale software across the organization. You will partner closely with Engineering, Product, QA, Data, and DevOps teams to help shape the future of our frontend ecosystem.
Roles & Responsibilities:
Build and evolve the frontend infrastructure, shared tooling, reusable components, and engineering foundations that support multiple brands and product teams
Improve frontend performance through modern web architecture patterns, including server-side rendering, caching strategies, and request middleware
Drive initiatives that improve Core Web Vitals, performance, reliability, and user experience at scale
Own and enhance frontend CI/CD pipelines, release processes, and production readiness practices to enable fast, safe, and reliable deployments
Establish monitoring, observability, and incident response practices that improve platform reliability and production visibility
Build solutions for experimentation, feature flagging, and controlled rollouts to improve reliability and support data-driven decision making
Lead cross-functional technical initiatives, partnering with Engineering, Product, QA, Data, and DevOps teams to solve complex platform challenges
Act as a technical owner for strategic frontend infrastructure initiatives, leveraging modern technologies and AI-powered development workflows to drive long-term platform improvements and organizational impact
Provide technical guidance through code reviews, engineering standards, and knowledge sharing across teams.

Were looking for someone who thrives in a fast-moving remote environment, takes ownership end-to-end, communicates clearly, and can independently drive projects from concept to production.



Responsibilities

Design and develop scalable, performant, and maintainable frontend applications using React, TypeScript, and modern web technologies.
Build reusable UI components, shared libraries, and SDKs that support multiple products and integrations.
Collaborate closely with Product, Design, Backend, and Customer-facing teams to deliver intuitive and reliable user experiences.
Own features end-to-end - from technical planning and architecture through implementation, testing, deployment, and monitoring.
Optimize application performance, responsiveness, and reliability across devices and browsers.
Ensure high engineering standards through code reviews, testing, documentation, and observability.
Publish and manage SDK and NPM package versions, including backward compatibility and release management.
Help improve development workflows, tooling, and engineering best practices across the frontend ecosystem.
Contribute to building a strong engineering culture focused on quality, ownership, collaboration, and continuous improvement.

We are looking for a Senior AI Engineer to design and build production-grade, LLM-powered systems. You'll work at the intersection of software engineering and applied AI - shipping agents, RAG pipelines, and tool-using systems that solve real problems at scale. This is a hands-on, high-ownership role for someone who thrives at the frontier of what's possible with modern LLMs and isn't afraid to write the glue, the infrastructure, and the prompts that make it all work.
This is a **cross-functional, company-wide role**. You won't be embedded in a single product team - instead, you'll partner with every department to identify high-leverage opportunities and build AI-powered tools and workflows that boost productivity and efficiency across the entire organization.
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.
What You'll Do:
- Design, build, and operate LLM-powered applications, agents, and workflows end-to-end - from prototype to production.
- Architect retrieval, context engineering, and tool-use strategies that make models reliable, accurate, and cost-efficient.
- Integrate LLMs with internal services, third-party APIs, and data stores to automate complex business and engineering workflows.
- Build, evaluate, and continuously improve evaluation harnesses for non-deterministic systems.
- Collaborate closely with product, research, and platform teams to translate ambiguous problems into shipped capabilities.
- Stay ahead of the rapidly evolving LLM ecosystem (models, frameworks, agentic patterns) and bring the best ideas into our stack.

We are a strong, fast-moving group developing advanced solutions in some of Palo Alto Networks most innovative areas - the Cortex Platform. Were looking for an exceptional Senior Frontend Engineer with deep technical skills and a passion for creating exceptional user experiences. Youll join a team that values clean, scalable architecture and high-quality code, working closely with product, UX, and backend teams to deliver impactful features that protect our customers from evolving cyber threats.
Key Responsibilities
Design and develop next-generation, scalable frontend applications on the Cortex platform.
Lead the development of key frontend components, taking ownership from conception through to deployment in a dynamic, agile environment.
Proactively collaborate with UI/UX experts, product managers, and backend engineers to translate complex requirements into visionary cybersecurity products.
Research, design, and implement sophisticated and complex data visualization solutions to make security data understandable and actionable.
Uphold high standards for code quality and architecture through rigorous code reviews, automated testing, and advocating for frontend best practices.
Mentor junior engineers and contribute to a culture of continuous learning and technical excellence within the team.
Analyze and optimize application performance to ensure a responsive and seamless user experience for our customers.

We are hiring a Senior Software Engineer to join the NSV tools group. You will craft high-performing software automation systems used in NVIDIA's Data Center environments. This involves our AI cluster topology generation platform that composes, configures, and validates network infrastructure behind large-scale AI clusters. You will collaborate with NIC, OS, Switch, HCA, CPU, and GPU compute teams, along with architects, network engineers, and developers. We support data growth for the worlds biggest companies. Our worldwide engineers work in a dynamic, meaningful, and fast-paced setting. Are you ready for the challenge?

What you'll be doing:

Build and develop a full-stack automation platform (Python microservices backend, modern web frontend) used to generate, configure, and validate network topologies for AI/HPC data centers.

Implement scalable, reliable, and maintainable services and APIs that turn complex infrastructure requirements into validated, exportable network configurations.

Build and refine intuitive web interfaces that guide users through an interactive, step-by-step topology development workflow.

Collaborate closely with internal and external collaborators to understand requirements and deliver robust full-cycle solutions.

Improve stability and performance across the generation pipeline through architectural improvements and code optimizations.

Troubleshoot issues in distributed, containerized environments and contribute to system observability and reliability improvements.

Work cross-functionally with architects, DevOps engineers, product managers and collaborators to ensure high-quality releases.

Participate in code reviews, technical design discussions, and continuous improvement activities within the team.

We are a strong, fast-moving group developing advanced solutions in some of our companys most innovative areas - the Cortex Platform. Were looking for an exceptional Senior Frontend Engineer with deep technical skills and a passion for creating exceptional user experiences. Youll join a team that values clean, scalable architecture and high-quality code, working closely with product, UX, and backend teams to deliver impactful features that protect our customers from evolving cyber threats.
Key Responsibilities
Design and develop next-generation, scalable frontend applications on the Cortex platform.
Lead the development of key frontend components, taking ownership from conception through to deployment in a dynamic, agile environment.
Proactively collaborate with UI/UX experts, product managers, and backend engineers to translate complex requirements into visionary cybersecurity products.
Research, design, and implement sophisticated and complex data visualization solutions to make security data understandable and actionable.
Uphold high standards for code quality and architecture through rigorous code reviews, automated testing, and advocating for frontend best practices.
Mentor junior engineers and contribute to a culture of continuous learning and technical excellence within the team.
Analyze and optimize application performance to ensure a responsive and seamless user experience for our customers.

We are hiring an AI Researcher to join the research team building the next generation of AI-native security systems. You will work alongside security and threat researchers to build large-scale AI agents that reason over software, code, endpoint activity, and security signals to detect malicious behavior, uncover vulnerabilities, assess risk, and make autonomous security decisions in real-world production environments. We are entering the Mythos era - where attackers operate at machine speed using autonomous systems and AI-generated software, and defenders must evolve the same way. We use state-of-the-art frontier models, including access to Mythos, to build reliable AI-native security systems at global scale. You will help design the evaluations, harnesses, and reliability infrastructure that make autonomous agents dependable under real customer load, while collaborating with leading AI organizations including Anthropic on initiatives such as Glasswing. This is an opportunity to work at the frontier of AI, autonomous systems, and cybersecurity while helping define how the next generation of security systems will operate.
Key Responsibilities
Build AI agents and autonomous security systems that reason over software, code, endpoint activity, MCPs, and security signals to detect malicious behavior, uncover vulnerabilities, and assess risk at production scale.
Develop systems, tooling, and infrastructure that enable agents to autonomously investigate threats, hunt for malware in massive datasets, and operate reliably in complex security environments.
Design and run experiments to evaluate frontier-model and agent capabilities in realistic adversarial scenarios, including benchmark creation, large-scale datasets, automated evaluations, and human-in-the-loop review systems.
Build the evaluation harnesses, observability systems, and reliability infrastructure required to make autonomous agents accurate, scalable, and dependable under real customer load.
Engineer for scale and performance across large distributed AI systems, including inference optimization, orchestration, batching, caching, cost controls, and graceful degradation under high demand.
Continuously evaluate emerging models, agent architectures, prompting techniques, and research directions to ensure our systems remain at the frontier of AI-native cybersecurity.
Rapidly prototype and test new approaches across reasoning, autonomy, evaluations, and security workflows as the AI landscape evolves.
Partner closely with threat and security researchers to extract domain expertise, translate analyst reasoning into AI workflows, and enable new forms of automation and autonomous investigation.
Collaborate with leading AI and security researchers to shape the future of AI-native cybersecurity as the industry transitions into the Mythos era.
Senior candidates will help define research direction, shape technical strategy, identify high-leverage problems, and influence how autonomous AI systems are deployed across the organization.

We are a fast growing cybersecurity startup redefining how organizations defend themselves. As attackers leverage AI for high speed strikes, we provide defenders with the same capabilities. Our platform creates an AI driven Autonomous Attacker that thinks like a hacker, generating end to end attack chains across Web, Cloud, and AI applications to prioritize mitigation where it matters. Founded a year and a half ago, weve moved at lightning speed raising a Seed from CyberStarts and a Series A from Lightspeed. With offices in Tel Aviv and New York, we maintain a high transparency, low ego environment where exceptional individuals have the autonomy to make a massive impact on a category defining product.
We are looking for a Senior Software Engineer to help build the core engine and platform behind our autonomous attacker. In this role, you will bridge the gap between cutting edge AI and advanced security operations, designing secure, high performance applications and turning complex data into intuitive product experiences.
What Youll Do
Design and develop responsive, high performance web applications and secure APIs/micro services.
Build sophisticated dashboards to present complex security data and AI driven insights clearly and intuitively.
Seamlessly integrate AI/ML models into user-facing applications and develop interfaces for complex security operations.
Work closely with Security Researchers and Product stakeholders to translate complex requirements into elegant technical solutions.
Ensure top tier application security, performance optimization, and scalability across the entire stack.