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we are building a real-time AI runtime platform for security algorithms running inline across our global cloud and physical PoPs.
We are looking for a hands-on AI Platform Team Lead to build and lead the team behind this platform: a high-throughput, low-latency engine that runs GPU-based models, from MMBERT-style models to LLMs, together with CPU-based heuristics and security logic.
This is a core infrastructure role for someone who wants to own the runtime layer of AI security at scale: performance, reliability, orchestration, GPU efficiency, and production-grade execution in the traffic path.
The team will also own the model lifecycle required to take AI security algorithms from research to large-scale production, working closely with research and algorithm teams.
Responsibilities
Build and lead our companys AI Platform team: hiring, mentoring, architecture, technical direction, and execution.
Own the AI security runtime platform for high-throughput, low-latency inline security decisions across our companys global cloud and PoPs.
Design the orchestration layer for running GPU models, CPU heuristics, and security logic as one production engine.
Own production readiness: observability, SLOs, autoscaling, reliability, rollout, rollback, and operational health.
Own the model lifecycle platform: registry, versioning, deployment, monitoring, and safe production rollout.
Work closely with research and algorithm teams to productionize AI security models and algorithms at scale.
Define the long-term platform strategy for AI runtime and model serving at our company.

We're looking for an Application Security Researcher to join us. In this critical role, you will assist us in validating our services and environments according to the highest security standards. Also, You will work closely with our R&D and Product teams, and solve complex security problems.
Responsibilities:
Continuously checking and improving security measures to protect our systems.
Reviewing system architecture, design, and code to find and fix security weaknesses before they become a problem.
Helping developers follow secure coding practices and learn how to prevent security risks.
Staying updated on new security threats and best practices to keep our security standards high.
Contributing to our companys security research blog.

We are looking for a passionate and experienced software developer to join our Chip Design Technologies group, helping to build the tools that shape the future of Chip Design and Verification. This role is at the intersection of software engineering and hardware design. Youll work on the software that accelerates the development of our industry-leading networking chips - highway for the AI revolution.

We're looking for someone who combines strong coding skills with preferably a solid understanding of chip design or verification. If youre excited about solving technical bottlenecks, building scalable tools, and collaborating with designers and verification experts, youll feel right at home here.

What youll be doing:

Develop software tools for our chip design and verification flows

Collaborate closely with designers and verification engineers to identify bottlenecks, propose improvements, and build software solutions that boost productivity and quality.

Own your solutions end-to-end - from idea to delivery to support.

We are looking for a Hands-On Team Lead - Agentic Engineering to lead, build, and actively contribute to a new team focused on applying AI agents, and intelligent workflows to improve business processes across the organization.
This role is both a technical leadership role and a hands-on engineering role. The successful candidate will manage the first Agentic Engineer, help grow the team, and personally contribute to the design, development, integration, and deployment of agentic AI solutions.
The ideal candidate is someone who can lead from the front: writing code, designing architectures, building prototypes, reviewing technical work, solving complex implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI-driven solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

we are building the future of AI Security - a platform that enables organizations to adopt AI boldly while keeping it governed, observable, and secure.
Were looking for a hands-on Software Engineering Team Lead to own our AI Security product for coding agents - from Claude Code, Codex, and GitHub Copilot to cloud-native coding environments and fully autonomous development agents.
This is a high-impact, product-driven leadership role at the intersection of AI, developer experience, cloud infrastructure, and enterprise security. Youll lead a full-stack team that owns this domain end-to-end: from infrastructure and policy engines to delightful product experiences that engineering teams actually love using.
What Youll Do
Lead and grow a full-stack engineering team dedicated to securing AI coding agents and autonomous development workflows.
Own the entire product area - strategy, architecture, roadmap execution, quality, customer adoption, and continuous iteration.
Design and build production-grade capabilities spanning AWS & Kubernetes infrastructure, backend services, real-time policy & enforcement engines, rich APIs/integrations, and intuitive UI/UX.
Partner closely with Product, Design, Sales Engineering, and customers to stay ahead of emerging AI risks and developer needs.
Set a high bar for engineering quality, ownership mindset, fast delivery, and product thinking across the team.
Help shape how the industry solves one of the biggest challenges of our time: letting AI agents move at incredible speed without compromising security or governance.

We are looking for a Formal Verification Engineer for our NVIDIA Networking team!

This is an exciting opportunity to join a hardworking Pre-Silicon design and verification team, working on groundbreaking Switch technologies. We deploy state-of-the art formal verification tools and methodologies to prove design correctness. Working in our formal verification team will expose you to a wide range of cutting edge design and technologies. Our Switch team delivers world class Bridge and router solutions for HPC, data-center, network, and storage markets. We micro-architect, verify, and deliver smart and high bandwidth multi port switches. We have the most sophisticated formal tools and methodologies in the industry, which help us achieve A0 design tapeouts. As part of this team, you'll enjoy a versatile work environment, which is educational, dynamic and ambitious.

What you'll be doing:

In this position you will use formal verification algorithms to formally prove the correctness of complicated logic problems.

You will work on ambitious designs along with our Pre-Silicon team and take part in developing the next generation of our core technology.

Now were looking for a visionary Automation Engineer to join our Automation teams. As a member of this team, you will be responsible for the design, implementation, and maintenance of Automated tests. Our Automated tests cover various aspects of the product, including complex networking topology, traffic, security rules, Users authentication scenarios and mobile applications interacting deeply with the operating system.
Responsibilities
Design and develop automation solutions for mobile applications, including end-to-end scenarios across backend, network, and device layers
Build, configure, and maintain mobile testing environments (emulators, simulators, and physical devices), including CI-integrated mobile labs
Develop automation for applications that integrate with mobile OS capabilities (e.g., VPN configuration, system extensions, network controls, background services)
Evaluate and integrate AI-driven solutions into the automation workflow, improving productivity, reliability, and insight generation
Leverage AI-based tools and techniques to enhance test automation, including test generation, failure analysis, and optimization of test coverage and execution
Cope with complex code along with quality standards and best practices.
You will be expected to come up with initiatives regarding Automation infrastructure and tools.
You will work with other Automation teams, as part of cross-teams Automation efforts to achieve code reuse and unified standards in code, tools, and processes.
Collaborate with development and product teams to ensure high-quality delivery of mobile and networking features.

Were looking for a visionary Automation Engineer - Browser Security to join our Automation teams. As a member of this team, you will be responsible for the design, implementation, and maintenance of Automated tests using our Java-based framework. Our Automated tests cover various aspects of the product, including complex networking topology, traffic, security rules, Users authentication scenarios and Browser Security.
Responsibilities:
Design, develop, and maintain automated tests for complex, multi-layered systems using our Java-based framework
Build end-to-end automation scenarios covering backend, networking, and client-side behaviors
Design and implement automation solutions for browser-based security products, including - Browser security solutions (e.g., authentication flows, extensions, enterprise browsers, RBI)
Define, build, and maintain automation infrastructure, frameworks, and reusable libraries
Evaluate and integrate AI-driven solutions into the automation workflow, improving productivity, reliability, and insight generation
Leverage AI-based tools and techniques to enhance test automation, including test generation, failure analysis, and optimization of test coverage and execution
Set up and manage test environments, including - Browser and web testing environments
Drive automation coverage by designing regression, sanity, and end-to-end test suites
Own and drive product quality by validating features, reviewing behavior, and ensuring adherence to QA best practices
Identify gaps and develop tools and solutions to improve automation efficiency, stability, and scalability
Collaborate with development, product, and cross-team automation groups to ensure high-quality delivery and unified standards
Take part in (or lead) cross-team initiatives to improve automation infrastructure, code reuse, and testing methodologies.

We are looking for a responsible, independent professional subsidiaries assistant controller, a team player who can work in a fast-growing company and is able to deliver in strict timelines. You will join our professional finance team.
Responsibilities:
Prepare monthly, quarterly, and annual financial reporting packages in accordance with US GAAP and corporate guidelines, ensuring accurate and timely information for decision-making.
Conducted month-end closing procedures and generated comprehensive financial reports and analytics to support subsidiary performance evaluation.
Compile and prepare financial statements and manage annual audits adhering to accepted accounting principles, reflecting company-wide and subsidiary-level financial status.
Supervise payments to vendors and manage significant cash transactions, ensuring accuracy and compliance with company policies and regulatory requirements.
Enhance internal controls and work processes to boost efficiency and accuracy, focusing on subsidiary-specific needs and best practices.
Oversee accurate payroll processing and ensure regulatory compliance.

We are looking for a talented and experienced Data Scientist to join our Research Data Science team and play a key role in shaping the future of cloud-native network security. Your primary mission will be to lead the development and deployment of AI-driven capabilities that protect enterprise networks at scale through our companys SASE platform, powering core products such as our AI assitant, DLP, XDR, IPS, and more.
Leveraging rich, real-time data from our global backbone and Cloud data warehouse, you will apply advanced reserach analytics, machine learning, deep learning and GenAI techniques to solve complex cybersecurity and networking challenges.
This is an exciting opportunity to join a fast-growing company and drive innovation in the rapidly evolving SASE space.
Key Responsibilities
Lead the design, development, and deployment of AI/ML models that enhance our companys security and networking products
Leading networking and security research, including analysis of large-scale network traffic and security data to identify patterns, threats, and opportunities for product improvement
Research, fine-tune, and train models optimized for real-time inline inference under limited compute resources
Collaborate cross-functionally with product, engineering, and support teams to translate product and business needs into AI solutions
Define and track success metrics to ensure AI solutions meet performance and business goals.