דרושים » הנדסה » Malware Analyst

We are looking for a Cyber Threat Intelligence Analyst to be an integral part of our Intelligence teams, combining both cutting-edge technology and advanced threat intelligence analysis methodologies to deliver high-impact briefings to our customers.

Key Responsibilities
Learning the customer needs and PIRs, configuring their tailored environments in the ERM intelligence platform and supporting the customers with tuning/training throughout engagement
Monitoring and analyzing threats targeting customers, or issues in their digital exposure, in order to produce actionable intelligence alerts and reports.
Investigating intelligence sources, threat actors, attack tools and techniques
Identifying and developing ERM data sources to collect the most relevant intelligence (darknet, forums, social media, marketplaces, etc.) as well as creating and maintaining avatars on these.
Developing the proprietary intelligence platform by surfacing new modules, capabilities and features
Joining meetings with prospects and clients to present deliverables.
Drive cooperation & feedback loops with other ERM teams

We are looking for an exceptional and passionate Competitive Intelligence Technical Engineer. A Member of the competitive technical analysis/intelligence group for Check Points security portfolio.

If you are tech savvy and technical with great research skills, excel in collection and analysis, are driven by curiosity and passion, and seek a unique opportunity to grow and contribute in an exciting and rewarding environment, then we want to meet you!

Key Responsibilities
Proactively gather information on competing products, including detailed functionality to understand, confirm and authoritatively negate competitor's claims via documentation and Hands-ON testing.
Tracking data on our competitors, preparing hard-hitting competitive materials for Check Point sales force, helping our sales force respond to competitive situations and creating effective marketing programs to highlight our competitive differentiation.
Educating and helping our sales force to better understand competitor's offerings and how to respond to competitive situations.
Attending meetings with Check Point's salesforce, partners, and customers. hosting webinars to present the competitive materials you've created.
Work with Product Organization (R&D, product managers, QA) to identify the most compelling competitive differentiation for our products & most compelling features of competitive products.
Work cross-functionally to ensure competitive information and positioning for all products and solutions in our core business, and own the process of responding quickly to maximize opportunities with press/analysts/customers.
Track, report, and influence analysts (Gartner, IDC) market share reports; track our competitors, their products, their go-to-market strategies and their financial and market performance.
Work with strategic goals and identify priority activities and assignments.

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

As a Customer Engineer, you will partner with technical Sales teams as a subject matter expert in Artificial Intelligence and Machine Learning (AI/ML) to differentiate Google Cloud to our customers. You will help prospective and existing customers and partners understand the power of Google Cloud, develop creative cloud solutions and architectures to solve their business issues, engage in proofs of concepts, and troubleshoot any technical questions and roadblocks. You will use your expertise and presentation skills to engage with customers to understand their business and technical requirements, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills. You will partner with internal engineering stakeholders to improve products and build solutions, optimizing for results when in production and identifying innovative ways to multiply the impact of the team as a whole.

You will be a part of a various team of Googlers working in an environment of respect where we promote equal opportunities to succeed.

Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities
Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
Share in-depth AI/ML expertise to support the technical relationship with customers, including technology advocacy, supporting bid responses, product and solution briefings, proof-of-concept work, and partnering directly with product management to prioritize solutions impacting customer adoption to Google Cloud.

We are looking for a Cyber Threat Intelligence Analyst to be an integral part of our Intelligence teams, combining both cutting-edge technology and advanced threat intelligence analysis methodologies to deliver high-impact briefings to our customers.

Key Responsibilities
Learning the customer needs and PIRs, configuring their tailored environments in the ERM intelligence platform and supporting the customers with tuning/training throughout engagement
Monitoring and analyzing threats targeting customers, or issues in their digital exposure, in order to produce actionable intelligence alerts and reports.
Investigating intelligence sources, threat actors, attack tools and techniques
Identifying and developing ERM data sources to collect the most relevant intelligence (darknet, forums, social media, marketplaces, etc.) as well as creating and maintaining avatars on these.
Developing the proprietary intelligence platform by surfacing new modules, capabilities and features
Joining meetings with prospects and clients to present deliverables.
Drive cooperation & feedback loops with other ERM teams

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
As part of our server chip design team, you will use our Application Specific Integrated Circuit (ASIC) design experience to be part of a team that develops the ASIC SoC and SoC IPs from Power-On-Reset (POR) to Production. You will create SoC Level microarchitecture definitions, Register-Transfer Level (RTL) coding and all RTL quality checks. You will also have the opportunity to contribute to Design flow and Methodologies.

In this role, you will collaborate with members of architecture, software, verification, power, timing, synthesis design for testability (dft) etc. You will face technical issues and develop/define design options for performance, power and area.

The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Define the SoC/Block microarchitecture level design document such as interface protocol, block diagram, transaction flow, pipeline etc.
Perform RTL development (e.g., coding and debug in Verilog, SystemVerilog).
Perform simulation debug and Lint/CDC/FV/UPF checks.
Engage in synthesis, timing/power closure, and ASIC silicon bring-up.
Contribute to verification test plan and coverage analysis of block and SOC-level.

We are looking for a Release Manager to be responsible for managing the complete software delivery life cycle. Working on cyber security cutting edge technology software with the engineers teams from the planning phase to the deployment phase through the development and testing phases.

In this role, you will be responsible for the smooth deployment and release of code to internal and customer environments.

You will lead major integrated projects within Secure Access Service Edge (SASE) platform.
To do so you will work closely with the development, DevOps and Products teams managing the complete software delivery life cycle and use and improve our CI/CD pipelines, focusing on reducing toil in the development and lead our deployment into production.

As part of that release process, you will be helping bring code from internal environments to customer sites smoothly, and without incident.

Key Responsibilities
You will be responsible for the Release Management lifecycle that involves stages such as scheduling the release, coordinating between teams, and deploying of release as per the schedule, desired quality and within budget.
You need to Improve and define the release management tools to improve tracking and status of the release.
Responsible for collaborating with system engineering/product architects and identifying dependencies, both logical and technical.
Collaborate with program and product management to define a release schedule for all components under management, and maintain a forward schedule of changes.
Responsible for ensuring that all Implementation plans are consistent with defined Release Services Processes and are repeatable.
Conduct Post-Deployment Analysis of all implementations and reporting of established metrics.
Team up with relevant development teams responsible for building and improving the CI/CD process and automation tools.
Participate in Continual Service Improvement (CSI) efforts for all Release Services Process and Procedures
Lead the Go-Live activities to deploy the software successfully.
Coordinate the release schedule and resources required depending upon the third-party applications, defect backlogs, planned releases, and infrastructure updates.
Make improvements in the methodologies used for configuration management and development of software that helps to find ways to use in configuration management.

Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of Google's direct-to-consumer products. You'll contribute to the innovation behind products loved by millions worldwide. Your expertise will shape the next generation of hardware experiences, delivering unparalleled performance, efficiency, and integration.
In this role, you will use your ASIC design experience to be part of a team that develops the ASIC SoC from POR to Production. Creating SoC Level micro architecture definitions, RTL coding and all RTL quality checks.
You will also have the opportunity to contribute to Design flow and Methodologies.

You will collaborate with members of architecture, software, verification, power, timing, synthesis dft etc. You will face technical tests and develop/define design options for performance, power and area.
The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.

Responsibilities
Define the SoC/Block level design document such as interface protocol, block diagram, transaction flow, pipeline etc.
Perform Register-Transfer Level (RTL) development (e.g., coding and debug in Verilog, System Verilog), function/performance simulation debug and Lint/Cyber Defense Center/Formal Verification/Unified Power Format checks.
Participate in synthesis, timing/power closure, and Application-Specific Integrated Circuit (ASIC) silicon bring-up.
Participate in test plan and coverage analysis of the block and SOC-level verification.
Participate in architecture feedback.

SuperSonic is hiring a Staff Data AI Lead to lead our AI initiatives.
As a Staff Data AI Lead you will be responsible for leading our organization's AI integration efforts and serving as the bridge between advanced AI technologies and our business needs, implementing cutting-edge Data & AI technologies, creating AI-driven strategies and integrating innovative AI solutions across multiple platforms.

What you'll be doing
Develop and execute AI strategies aligned with business objectives
Advise leadership on AI capabilities and potential applications
Guide teams in adopting AI tools and methodologies
Ensure ethical and efficient implementation of AI technologies
Design and oversee AI-driven process improvements
Collaborate with various departments to identify AI opportunities
Stay current with the latest AI trends and advancements
Conduct AI-related training and workshops for staff
Manage AI projects from conception to implementation
Evaluate and recommend AI tools and platforms
Leading a team of AI engineers