דרושים » תוכנה » Protocol Researcher- 2514

We are looking for a Security Researcher and Developer to join our research group as part of a growing new team that builds an exciting new autonomous investigation and response product (Autopilot).
You will create and implement statistics and graph-based classification algorithms, investigating everything from new malware through process behavior and attackers operating in enterprise-scale networks using data from multiple endpoints. From analyzing attack patterns, finding statistical anomalies, and validating that you correctly respond to real attacks and APTs on real customer data.
Your Impact
Research and implement new autonomous methods to investigate and respond to targeted attackers by utilizing enormous amounts and varied types of data
Design new generic heuristics to automate response over a combination of alerts and raw data, leveraging graph algorithms and AI to mimic manual cybersecurity investigations
Perform deep analysis of advanced attack flows used by current malware and APTs
Use and develop statistical algorithms and techniques to create and improve our investigation capabilities
Be part of a diverse research group, improving our research processes and leading us to be a better team, creating a better product
Stay up to date with APTs, attacker methodologies, and TTPs.

We are seeking an experienced Solutions Data Engineer who possess both technical depth and strong interpersonal skills to partner with internal and external teams to develop scalable, flexible, and cutting-edge solutions. Solutions Engineers collaborate with operations and business development to help craft solutions to meet customer business problems.
A Solutions Engineer works to balance various aspects of the project, from safety to design. Additionally, a Solutions Engineer researches advanced technology regarding best practices in the field and seek to find cost-effective solutions.
Job Description:
Were looking for a Solutions Engineer with deep experience in Big Data technologies, real-time data pipelines, and scalable infrastructuresomeone whos been delivering critical systems under pressure, and knows what it takes to bring complex data architectures to life. This isnt just about checking boxes on tech stacksits about solving real-world data problems, collaborating with smart people, and building robust, future-proof solutions.
In this role, youll partner closely with engineering, product, and customers to design and deliver high-impact systems that move, transform, and serve data at scale. Youll help customers architect pipelines that are not only performant and cost-efficient but also easy to operate and evolve.
We want someone whos comfortable switching hats between low-level debugging, high-level architecture, and communicating clearly with stakeholders of all technical levels.
Key Responsibilities:
Build distributed data pipelines using technologies like Kafka, Spark (batch & streaming), Python, Trino, Airflow, and S3-compatible data lakesdesigned for scale, modularity, and seamless integration across real-time and batch workloads.
Design, deploy, and troubleshoot hybrid cloud/on-prem environments using Terraform, Docker, Kubernetes, and CI/CD automation tools.
Implement event-driven and serverless workflows with precise control over latency, throughput, and fault tolerance trade-offs.
Create technical guides, architecture docs, and demo pipelines to support onboarding, evangelize best practices, and accelerate adoption across engineering, product, and customer-facing teams.
Integrate data validation, observability tools, and governance directly into the pipeline lifecycle.
Own end-to-end platform lifecycle: ingestion → transformation → storage (Parquet/ORC on S3) → compute layer (Trino/Spark).
Benchmark and tune storage backends (S3/NFS/SMB) and compute layers for throughput, latency, and scalability using production datasets.
Work cross-functionally with R&D to push performance limits across interactive, streaming, and ML-ready analytics workloads.

we are looking for a Performance Engineer to join our growing team!
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.
"our company's data management vision is the future of the market."- Forbes
w are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless company ronauts who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

We are looking for a Security Researcher to join our Windows EDR behavioral detection team.
You will create statistics-based classification algorithms detecting everything from new malware through process behavior and attackers operating in enterprise-scale networks using data from multiple Windows endpoints; from analyzing attack patterns, finding statistical anomalies, and validating that you detect real attacks and APTs on real customer data.
Your Impact
Research new methods to detect various attack techniques by utilizing enormous amounts and varied types of data
Use and develop statistical algorithms and techniques to create and improve our analytics detection capabilities
Take an active role in our collection modules by improving the ones that are already available and investigating new collection modules that will improve the quality of our detections
Simulate attacks in the lab and conduct a deep analysis of the behavior
Be part of a diverse research group, improving our research processes and leading us to be a better team, creating a better product
Stay up to date with APTs, attacker methodologies, and TTPs.

We are looking for a strong, hands-on Security Researcher with knowledge in Data Science to join a cutting-edge AI and cyber security initiative at our company.
In this role, youll be part of a growing data science team working on advanced prevention technologies, leveraging vast amounts of data and state-of-the-art machine learning techniques to help protect users on a global scale.
This is a unique opportunity to join a high-impact, research-driven environment, where you will have the chance to shape core components of a next-generation security solution.
Key Responsibilities
Research and develop innovative AI-powered capabilities for cyber threat prevention.
Perform hands-on malware analysis in Windows environments, focusing on files and related threats.
Rapidly prototype and iterate based on data insights and user feedback.
Design and build data-driven solutions with a strong emphasis on practical impact and performance.
Collaborate closely with cyber researchers, analysts, and engineers to deliver production-grade machine learning models.
Work across organizational boundaries to bring solutions from concept to large-scale deployment, considering system constraints and integration challenges.

We are seeking a highly skilled and experienced Windows Malware Security Researcher to join our growing Windows malware research team. In this role, you will play a key part in enhancing our Endpoint Detection and Response (EDR) agent by prototyping new protection components and techniques and developing advanced malware prevention strategies. You will work on identifying, analyzing, and mitigating sophisticated threats, Working closely with various teams to drive innovation.
The proposed role will be part of the Windows malware research team of the Cortex-XDR agent group.
You will focus primarily on our cutting-edge agent technology, with an emphasis on real-time prevention on Windows endpoints. A deep understanding of the Windows Operating System is essential
Your Impact
Playing a pivotal role in shaping the future of our security solutions.
enhance the effectiveness of our EDR product by designing cutting-edge protection components and developing sophisticated prevention rules
Researching OS internals and how Windows works under the hood - leveraging this knowledge to develop and improve our anti-malware mechanisms and capabilities
Research and lead novel protection ideas to production-grade level, serving as the feature subject matter expert
Research new malware and APT mitigation techniques and develop corresponding capabilities (POC level) or improve existing mitigation capabilities.
Respond to malware-based security events at clients networks.
Stay up to date with current malware and APT techniques.
You will provide feedback to the product management team on new feature requests and product enhancements from our customer base
Find new malware techniques and APT attacks including analysis of caught-in-the-wild malware.

We are looking for a Senior Data Engineer.
As a Senior Data Engineer, youll be more than just a coder - youll be the architect of our data ecosystem. Were looking for someone who can design scalable, future-proof data pipelines and connect the dots between DevOps, backend engineers, data scientists, and analysts.
Youll lead the design, build, and optimization of our data infrastructure, from real-time ingestion to supporting machine learning operations. Every choice you make will be data-driven and cost-conscious, ensuring efficiency and impact across the company.
Beyond engineering, youll be a strategic partner and problem-solver, sometimes diving into advanced analysis or data science tasks. Your work will directly shape how we deliver innovative solutions and support our growth at scale.
Responsibilities:
Design and Build Data Pipelines: Architect, build, and maintain our end-to-end data pipeline infrastructure to ensure it is scalable, reliable, and efficient.
Optimize Data Infrastructure: Manage and improve the performance and cost-effectiveness of our data systems, with a specific focus on optimizing pipelines and usage within our Snowflake data warehouse. This includes implementing FinOps best practices to monitor, analyze, and control our data-related cloud costs.
Enable Machine Learning Operations (MLOps): Develop the foundational infrastructure to streamline the deployment, management, and monitoring of our machine learning models.
Support Data Quality: Optimize ETL processes to handle large volumes of data while ensuring data quality and integrity across all our data sources.
Collaborate and Support: Work closely with data analysts and data scientists to support complex analysis, build robust data models, and contribute to the development of data governance policies.

we are looking for a Software QA Engineer with a strong background in Networking and Automation to join our InfiniBand (IB) and NVLINK (NVL) Switch QA team. Our team is responsible for qualifying software stack for our companys IB Switch, Router, Gateway and NVLINK systems, delivering world-class networking solutions.
You will work at the heart of cutting-edge technology, validating software management features, designing topologies, developing automated test suites, and collaborating with engineering and product teams to ensure delivery of robust and scalable systems.
What youll be doing:
Design, develop, and execute manual and automated tests as part of software stack releases.
Define, build, and manage testbed topologies for functional, regression, and performance validation.
Analyze architectural designs and feature requirements for new networking capabilities.
Debug failures, identify root causes, and verify fixes delivered by development teams.
Schedule test runs, track testing progress, and generate test status reports with detailed defect documentation.
Write and maintain automation tests across multiple frameworks (Python, Perl), enhancing test efficiency and scalability.
Collaborate with cross-functional global teams including R&D, product marketing, and system verification.

We are looking for a Malware Researcher to analyze and review malware applications. You should have a background in cybersecurity and software development.

Are you passionate about leveraging existing research infrastructure to advance security automation? Do you want to join our Security Automation Response and Remediation Team to transform innovative research into product features?
As a Principal Security Researcher, you will utilize and augment our established BI systems, CI/CD pipelines, and research infrastructure to meet team requirements while incorporating LLM capabilities. You will help mature promising research efforts into production-ready product features that enhance our security automation capabilities. Your expertise in security research, infrastructure utilization, and modern AI technologies will drive the evolution of our security operations.
Your Impact
Leverage existing research infrastructure to enhance security automation workflows across multiple security domains (Endpoint, Identity, DSPM, NDR)
Utilize and augment established BI data systems and CI/CD pipelines to support security research initiatives
Transform research concepts into mature, production-ready product features
Integrate LLMs and AI technologies into existing security workflows to improve detection and response capabilities
Develop tools that extend our current infrastructure to better support security research and remediation planning
Collaborate with product teams to translate successful research outcomes into customer-facing features
Partner with cross-functional teams to integrate your innovations with XDR, EDR, NDR, SOAR, and big data platforms.