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Required Senior Embedded Vulnerability Researcher
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
Scope:
Our mission is to defend and mitigate the danger from rogue drones.
We are looking to expand our drone take-over research team, which is responsible for the core technology of our product.
This is a great opportunity for you to expand your capabilities working on versatile and innovative cyber research projects as part of a young and extremely talented team.

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.

Required Senior Verification Engineer (FPGA)
Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment - those who want to be part of the next generation of airspace security innovation.
Join us and help make the world a safer place.
Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
Lead the functional sign-off for complex FPGA designs by architecting scalable, reusable UVM-based verification environments.
You will build the essential infrastructure that empowers FPGA designers to efficiently and accurately verify their own modules.
Key Responsibilities:
Architecture: Build and maintain advanced simulation environments from scratch using UVM and SystemVerilog.
Strategy & Coverage: Develop comprehensive verification plans to drive the team toward 100% functional and code coverage closure.
CI/CD & Automation: Architect robust automated regression testing environments and integrate them into CI/CD pipelines (e.g., Jenkins).
Tool Expertise: Serve as the internal authority for EDA tools (like Questa) and manage high-performance simulations.
Debugging: Perform deep root-cause analysis on complex failing tests and hardware logic.

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 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 seeking a Senior RF Systems & Design Engineer to join our RF team and help architect and industrialize our next-generation Counter-UAS (C-UAS) multi-product hardware ecosystem. In this role, you will bridge the gap between high-level Software-Defined Radio (SDR) concepts and high-yield mass production. You will guide modular architectural layouts, define core interfaces for internal and external sensors, implement critical DFx methodologies, and mentor junior talent within an evolving, fast-paced technical landscape
Key Responsibilities
1. Architecture & System-Level Design:
Architect modular, RF transceiver systems and define cascading link budgets (NF, Gain, IP3, P1dB) from antenna to converter.
Design advanced wideband SDR front-ends and direct RF sampling topologies tailored to defeat dynamic threats.
Establish Interface Control Documents (ICDs) and hardware abstraction standards to seamlessly integrate 3rd-party subsystems (Radar, EO/RF).
2. Detailed HW Design, Simulation & Validation:
Lead schematic capture, high-frequency/high-density PCB layout supervision, and component choices (PAs, LNAs, synthesis filters).
Perform electromagnetic and circuit-level modeling (ADS, HFSS, or equivalent) to resolve structural EMI/EMC and co-site isolation issues.
Formulate strict engineering Verification & Validation (V&V) plans, overseeing environmental and compliance certifications.
3. DFx & Production Scale-Up:
Champion Design for Manufacturing/Assembly/Test (DFM/DFA/DFT) workflows to ensure stable, repeatable high-yield production loops.
Define line-calibration algorithms, built-in self-tests (BIST), and leverage Statistical Process Control (SPC) data to reduce production and field escalations.
4. Leadership & Mentorship:
Collaborate across disciplines (Mechanical, Digital, Cyber-Software) to systematically resolve thermal, power, and high-speed noise friction points.
Act as a primary technical mentor for junior engineers, implementing standard product lifecycle (PLC) gating and best practices.

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 highly skilled RF Test Automation Developer to join our R&D Integration Automation team.
This role is focused on designing, developing, and maintaining advanced automation solutions across unit, integration, system, and end-to-end testing levels.
The ideal candidate is a hands-on developer with strong expertise in Python and Pytest, experienced in building and executing automated tests, and comfortable working with modern CI/CD pipelines and automation tools.
The Senior Developer will act as a technical mentor and key contributor, ensuring best practices are followed and test automation is seamlessly embedded into the development lifecycle.
Knowledge of RF systems is a strong plus.
Key Responsibilities:
Develop and maintain automated RF test development tools using Python and other relevant programming languages.
Configure, calibrate, and operate RF test equipment such as Vector Signal Generators (VSGs), Spectrum Analyzers (SAs), and related instruments.
Create and validate RF test setups for performance validation, debug, and system characterization.
Analyze test results, generate comprehensive reports, and present findings to cross-functional teams.
Collaborate with hardware and software engineers to integrate automated RF testing into the product development cycle.
Stay current with emerging RF technologies and testing methodologies, proposing and implementing improvements to existing test processes.
Contribute to the development of RF testing strategies aligned with R&D goals and product roadmaps.
Research and introduce innovative RF automation tools, frameworks, and workflows aligned with R&D goals.

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.