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We are looking for best-in-class Physical Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high-speed communication devices, delivering the highest throughput and lowest latency! Come and take a part in designing our groundbreaking and innovating chips, enjoy working in a meaningful, growing and highly professional environment where you make a significant impact in a technology-focused company.

What you'll be doing:

Perform advanced AI Static Timing Analysis (STA) for complex chiplet and full chip level.

AI use for timing optimization and data analysis in STA and PnR.

Running and build STA tools for anlyaze and debug timing.

Use traditional STA tools like Prime Time, review and debug timing paths, understand constraints, sdc generation, timing ecos generation.

Identify convergence risks and work closely with physical design, RTL and DFT teams, ensuring convergence throughout various project stages.

Responsible for a full timing closer and quality approval from pre-layout STA model through signoff.

We're building our Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
Responsibilities
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Design and scale agent-based systems along with robust evaluation frameworks.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.

We are looking for an experienced DevSecOps Engineer to join our DevOps core platform team and help strengthen the security of our cloud-native infrastructure and development pipelines.
You will work closely with our CISO, DevOps team, and developers to integrate security practices across the entire software development lifecycle (SDLC), helping ensure a secure, scalable, and resilient platform across cloud and on-prem environments.
Responsibilities
Integrate security practices into CI/CD pipelines and across the SDLC
Design and implement automated security solutions (vulnerability scanning, compliance checks, threat detection)
Build and maintain Infrastructure as Code (IaC) for secure, scalable cloud environments (Terraform, Ansible)
Automate security controls and operational processes across cloud and Kubernetes environments
Design, implement, and optimize CI/CD pipelines with a focus on security, reliability, and performance
Secure cloud and on-prem environments (IAM, network controls, encryption best practices)
Manage and harden Kubernetes workloads, including configuration, access control, and image security
Collaborate with DevOps, developers, and security teams to improve system reliability and overall security posture
Conduct security assessments, penetration testing, and compliance audits
Monitor threats, respond to incidents, and improve incident response processes
Promote DevSecOps culture by guiding teams on secure coding, infrastructure, and deployment practices
Enhance observability by integrating monitoring, logging, and SIEM solutions

Senior Malware Researcher
About The Position
As a Senior Malware Researcher, you will analyze and reverse engineer malware and tooling used by advanced threat actors, particularly those targeting governments and critical infrastructure. You will apply deep expertise in binary and script analysis to uncover capabilities, configurations, and C2 infrastructure for threat actor attribution and mitigations.
Your work will power our malware catalog, strengthen our understanding of threat actors technical capabilities, and directly support the development of next-generation AI-driven "artificial cyber researchers".
Responsibilities
Perform in-depth static and dynamic analysis of malware, implants, loaders, and related tooling used by APTs and other sophisticated adversaries.
Reverse engineer binaries and scripts (e.g., PE, ELF, .NET, PowerShell, JavaScript/VBA) to determine capabilities, execution flow, persistence mechanisms, and evasion techniques.
Extract and document configuration data and C2 information, and map these to campaigns, infrastructure, and threat actors in collaboration with CTI researchers.
Develop and maintain detection and hunting artifacts such as YARA rules, VT LiveHunt queries, CAPA rules, and sandbox behavior signatures.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

Required Senior Program Manager
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world execution and delivery. You will own the squads delivery and processes reporting directly to the Director of Program Management, collaborate with Engineering, Data Science, Research and Product teams to drive successful execution of squad deliverables.
Responsibilities
Lead and manage multiple squads, ensuring efficient workflow and high-quality output
Partner with the Product Manager and R&D Manager to oversee the end-to-end development process for our cybersecurity solutions
Collaborate with the Director of Program Management to align squad goals with overall company objectives
Foster a culture of innovation, continuous improvement, and technical excellence
Mentor and develop team members, providing guidance and support as needed
Implement and optimize agile methodologies to enhance team performance and product delivery.

Required Senior Software Engineer - Posture
As a Senior Software Engineer on our team, youll design and develop the core engines, data models, and intelligent agents that replicate real-world adversarial behaviors at scale. Youll combine strong software engineering skills with deep security intuition to build systems that proactively surface weaknesses and improve organizational resilience.
Responsibilities
Design and build AI-driven agents that emulate adversarial behaviors such as lateral movement, privilege escalation, and persistence.
Develop core simulation and orchestration components in Go (primary language) and integrate with in-house AI models.
Contribute to architecture decisions, scalability, and performance optimization for distributed simulations.
Design and write clean, testable, readable, scalable and maintainable Java code that scales and performs well for thousands of customers.
Problem solver. Youll tackle complex, cross-cutting technical challenges that span multiple teams or services- whether its migrating a legacy monolith, optimizing high-throughput data pipelines, or defining new API standards.

Required Senior Threat Intelligence Researcher
As a Senior Threat Intelligence Researcher, you will be responsible for tracking advanced adversaries and leveraging your deep technical expertise across attacker capabilities, infrastructure, and tactics. You will create and refine approaches to uncover and monitor active threat actors, as well as surface irregular and emerging behaviors in the broader threat landscape. The intelligence you generate will directly strengthen our understanding of threat actors and will inform proactive hunting, detection engineering, and defensive decision-making.
Responsibilities
Lead complex threat intelligence investigations through in-depth analysis of the global threat landscape, with a focus on advanced and state-linked actors.
Define and prioritize threat research focus areas (actors, campaigns, sectors, techniques) aligned with our customers and product roadmap.
Deliver actionable cyber threat intelligence and design and execute hunting campaigns using analytics, automation, and advanced AI capabilities.
Curate and maintain structured knowledge on actors, campaigns, infrastructure, and TTPs in our internal threat knowledge base.
Work closely with CyberAI researchers on the development of next-generation artificial cyber researchers and AI-driven analysis capabilities.

We are looking for a performance modeling architect to join the team and shape, optimize, and explore our future networking chips and solutions. The role is cross-disciplinary, collaborating with hardware, software, and research teams across the wider company. You will lead workgroups towards technical solutions that will influence the heart of cutting-edge networking products. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation of networking solutions.


What you'll be doing:

Thoroughly understand our networking solutions across all performance related aspects

Develop a C++ simulation model to define and evaluate architectural options for our next generation of networking products.

Understand different trade-offs related to solving performance bottlenecks.

Collaborate and lead technical solutions within architecture, research, hardware, and software teams.

Analyze and model the communication patterns of key DL, GAI, inference, and training applications.

Explore innovative ideas to improve and optimize our chip systems performance.

We are looking for a Senior Windows Engineer who is passionate about software design, code quality, and performance. You'll be part of our Detection group, which means that you'll work on our EDR product. The role includes developing for the Windows kernel to collect the necessary data as well as writing user-mode code for integrating the kernel driver into our sensors architecture.
Responsibilities
Write production-grade C/C++ code to create robust and high-performance software drivers and applications for Windows.
Investigate possibly undocumented system behavior to enable product features or to resolve software issues.
Optimize code for maximum efficiency and resource utilization, ensuring the smooth operation of our solutions.
Collaborate closely with operating system internals to gather essential data for analyzing abnormal behavior on endpoints.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices.
Work effectively within a team, contributing to a collaborative and innovative development environment.
Apply your problem-solving abilities to address complex technical challenges in the cybersecurity domains.

We are on the lookout for a driven and experienced hands-on Engineering Team Leader to lead a group of engineers building our Sensor.
This team owns the entire endpoint agent, which is the backbone of our collection capabilities from Windows and Linux endpoints.
As a hands-on leader, youll guide a talented team of engineers in designing and evolving the agent that enables our fully AI-driven platform to identify and respond to real-time advanced persistent threats.
Responsibilities
Lead a team responsible for the endpoint product on Windows and Linux systems.
Mentor engineers, grow the team, and foster a culture of technical excellence and innovation.
Design and code production-grade C++ to create robust and high-performance software applications.
Collaborate with backend, frontend, research and other teams within the company to deliver state-of-the-art solutions for challenging problems.
Define and drive the technical roadmap, ensuring scalability, developer productivity, and rapid iteration.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices and guidelines.

We are looking for a Senior Cloud Infrastructure and DevOps Solutions Architect to join its Infrastructure Specialist Team. Academic and commercial organizations around the world are using our products to redefine deep learning and data analytics, and to power next-generation data centers. Join the team building and advising on many of the largest and fastest AI/HPC systems in the world!

We are looking for someone who combines deep technical expertise with strong consulting and communication skills. This role will engage directly with customers, partners, and cross-functional teams to assess, architect, and guide the implementation of large-scale infrastructure projects. The scope spans system architecture, Kubernetes-based platforms, and automation-serving as both a trusted advisor and a hands-on technical leader.

What Youll Be Doing:

Advise on and help maintain large-scale computational and AI infrastructure, including monitoring, logging, and workload orchestration (Kubernetes and Linux job schedulers).

Provide consultative guidance and perform hands-on troubleshooting across the full stack-from bare metal and operating system, through the software stack, container platform, networking, and storage.

Assess customer environments and recommend optimized, production-ready Kubernetes-based container platforms integrated with enterprise-grade networking and storage solutions.

Serve as a key technical resource: develop, refine, and document standard methodologies and operational guidelines to be shared with internal teams and customer stakeholders.

Support Development activities and engage in POCs/POVs to validate new features, architectures, and upgrade approaches.

Create and deliver high-quality documentation, including runbooks, onboarding materials, and best-practice guides for customers and internal teams.

Act as the technical leader for assigned customer accounts, providing strategic guidance on DevOps and platform architecture and influencing long-term infrastructure and operations decisions.

We are looking for a product-driven, cyber-savvy Product Manager to lead our Risk domain. This role focuses on transforming complex security insights into structured, actionable risk reduction- owning how organizations prioritize, mitigate, and track exposure across their environments.
You will operate at the intersection of attacker perspective, product thinking, and real-world security operations- turning risk into something measurable, defensible, and actionable.
Responsibilities
Own the product strategy and execution for our Risk domain
Design and optimize risk prioritization and mitigation workflows
Translate attacker-realistic paths into clear, actionable remediation guidance
Develop exposure reduction methodologies and lifecycle tracking models
Partner closely with Detection and Attack Path teams to ensure realistic and effective prioritization
Ensure risk insights are measurable, defensible, and aligned with real-world security operations
Continuously improve how customers reduce exposure.

We are looking for a detail-oriented and technically skilled Senior QA Engineer to join our engineering team and help ensure the quality, reliability, and security of our product.
In this role, you will own the quality of complex cybersecurity features from design through production, working closely with developers, product managers, and automation engineers. You will play a key role in defining test strategies, identifying risks early, and ensuring high-quality releases.
As part of your daily workflow, you will leverage AI-powered tools to improve test planning, discover edge cases, investigate defects, analyze logs, and enhance overall testing efficiency.
Responsibilities
Own the automation domain end-to-end: strategy, architecture, implementation, and continuous improvement
Design, build, and maintain scalable test automation frameworks across UI, API, integration, and system layers
Develop hands-on automation code in Python and/or TypeScript
Drive quality standards across engineering teams, partnering closely with developers, QA, DevOps, and product stakeholders
Define and implement automation best practices for reliability, scalability, maintainability, and fast feedback
Integrate and optimize automation within CI/CD pipelines to enable rapid, confident releases
Test complex SaaS, cloud, and cyber-related product flows, including security-sensitive scenarios, permissions, integrations, and system behavior
Use AI tools to support automation development, test generation, debugging, log analysis, documentation, and coverage improvement
Proactively identify coverage gaps and improve system testability, observability, and debuggability
Participate in system design and feature planning to embed quality from the earliest stages
Build and evolve testing environments using scripting, infrastructure-as-code, and cloud-native tools
Mentor and guide engineers, elevating automation standards across the organization.

Required Talent Sourcer
The Talent Sourcer is responsible for building and maintaining a strategic, long-term view of the organization's talent landscape. This role drives proactive sourcing strategies, develops high-quality talent pipelines for current and future hiring needs, and provides market intelligence that enables informed hiring decisions. Working closely with recruiters, hiring managers, and business leaders, the Talent Sourcer ensures the company has continuous access to top talent across critical functions.
Responsibilities
Develop and execute sourcing strategies aligned with business priorities and hiring goals to build and maintain high-quality talent pipelines.
Own the strategic overview of talent pipelines, continuously assessing pipeline health, talent availability, and future hiring needs across the organization.
Partner with recruiters and hiring managers to define target candidate profiles, sourcing priorities, and talent market approaches.
Create and present talent market maps, competitor research, and market intelligence to support hiring strategy and workforce planning.
Lead talent attraction initiatives, including organizing and supporting meetups, webinars, referral programs, and other employer branding activities.
Track, analyze, and report sourcing metrics to measure pipeline effectiveness and continuously improve sourcing strategies.
Research, evaluate, and implement emerging sourcing techniques, AI-powered recruiting tools, and industry best practices to continuously enhance sourcing effectiveness and efficiency.

We are on an expedition to find an On-Premise Site Reliability Engineer (SRE)- someone who is passionate about building rock-solid, high-performance infrastructure and bringing order to complex environments. In this role, you will own the end-to-end reliability, automation, and deployment of our platform across customer sites, working hands-on with cutting-edge AI, bare-metal, and hybrid cloud architectures.
Youll collaborate closely with Product, R&D, and Architecture teams while serving as the ultimate technical authority for our customer deployments. From designing automated Ansible workflows and mastering Kubernetes to troubleshooting complex network topologies, you will eliminate toil, streamline cluster operations, and ensure every deployment is scalable, seamless, and mission-ready.
Responsibilities
Lead End-to-End On-Prem & Hybrid Deployments: Own the technical delivery and reliability of our platform in close collaboration with Product, R&D, and customer technical teams.
Architect, Execute & Improve K8s Deployments: Take a definitive hands-on role in deploying, configuring, operating, and continuously improving our platform using advanced, enterprise-grade Kubernetes architectures.
Helm Chart Management: Design, modify, and manage Helm charts to package, version, and streamline complex application deployments across different environments.
Drive Automation & Simplification: Design, implement, and maintain robust deployment automation using Ansible. You must have a passion for turning complex manual tasks into reliable, repeatable, single-click operations.
Manage Infrastructure as Code: Utilize Git as the single source of truth to manage configurations, manifests, and automation playbooks, enforcing modern engineering best practices.
Bridge On-Prem and Cloud: Leverage AWS resources (specifically EC2 and S3) for hybrid components, staging environments, or cloud-to-on-prem data flows.
Technical Tier-3 Escalation: Serve as the ultimate technical authority for deployment, Linux networking, and Kubernetes orchestration issues.
Continuous Improvement: Constantly refine our delivery pipelines, optimize bootstrap processes, and create rock-solid technical documentation.