Join Cisco's Foundation AI team and be at the forefront of AI and Security innovation.

Meet the Team
Foundation AIs mission is to secure AI transformation. The Foundation AI team joined Cisco through the Robust Intelligence acquisition in fall 2024 to lead research and development of security and AI at Cisco. The team has deep expertise in AI and security and is an active contributor to cutting edge research and standards on AI and security. At Cisco, our mission is to build AI Security at Cisco scale as well as lead the next generation of AI infrastructure for disruptive security products across Cisco.

About Robust Intelligence

Robust Intelligence pioneered the category of AI Security and created the first platform for securing AI applications from supply chain, model vulnerabilities, and real time attacks. Funded by Sequoia and Tiger Global, Robust Intelligence customers include the worlds largest banking and financial institutions, HR and payroll services, FinTech and financial software, technology and consumer electronics, insurance, consulting, travel, data centers and cloud infrastructure, cybersecurity as well as government agencies. The company was acquired by Cisco in 2024.

Your Impact
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!

Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety.
Develop a platform for AI data training, fine tuning, evaluation and other AI related needs.
Develop and train AI reasoning models for security applications.
Develop agentic models with the aim of automating security testing.
Author blog posts, white papers, or research papers related to emerging threats in AI security.
Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team.

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 work with system teams and the CPU Architecture team to develop an understanding of the CPU, SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.

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
Design, develop, test, deploy, maintain, and improve CPU software modeling and other software tools.
Manage individual project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.

As a Senior Data Engineer at MSTICRnD, you will play a pivotal role in managing and executing big data solutions and pipelines for our security data-driven products. Your work will ensure a seamless flow of information throughout the company, balancing backend data structure with frontend accessibility for end-users. You will collaborate closely with engineers, product managers, and security analysts to understand data needs, ensure data availability, and represent key data insights visually in meaningful ways. Your responsibilities will also include ownership of data privacy, security, compliance, and quality.

Why Join Us?
Impact: Make a significant impact by contributing to the protection of Microsoft and its customers.
Growth: Grow and develop your skills in a fascinating domain.
Environment: Work in a live, fast-paced environment with opportunities to learn and influence.
If you are passionate about delivering next-gen security services and excited about working in a dynamic and innovative environment, we invite you to join us for a great ride!


Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities
ETL Pipelines: building and managing ETL (Extract, Transform, Load) pipelines.
Big Data Solutions: Design, implement, and manage big data pipelines to support security data-driven products.
Collaboration: Work with engineers, product managers, and security analysts to understand and address data needs.
Data Availability: Ensure the availability and accessibility of data across the organization.
Monitoring and Alerts: create monitoring and alert systems to ensure data integrity and system performance.
Data Visualization: Represent key data insights visually to provide meaningful information to end-users.
Data Privacy and Security: Maintain ownership of data privacy, security, compliance, and quality.

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 work with system teams and the CPU Architecture team to develop an understanding of the CPU, SoC, performance metrics, benchmarks/measuring tools, and available optimization knobs. You will define methods and technologies to model CPU performance at different accuracy levels by supporting architectural explorations and decision-making. In addition, you will correlate performance projections with measured post-silicon data.

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
Design, develop, test, deploy, maintain, and improve CPU software modeling and other software tools.
Manage individual project priorities, deadlines, and deliverables.
Collaborate with hardware and software CPU architecture teams, SOC performance modeling team, and other Google Software teams.

We are looking for a Senior Software Engineer with a strong background in modern web technologies to play a crucial role in shaping the future of Wixs frontend architecture. In this role, you will develop high-performance, scalable, and maintainable web applications for rendering sites on our next-generation platform. A key aspect of this role is to leverage emerging technologies, including AI, to enhance both engineering productivity and the AI-driven optimization of platform output. In your day-to-day you will:

Impact hundreds of millions of users with our platform that is responsible for rendering all Wix users' websites

Design, develop and maintain scalable and performant web applications

Explore and integrate AI tools to streamline development, automate tasks and improve code quality

Research and implement cutting-edge web technologies, with a focus on solutions to boost performance, scalability, maintainability, and AI-driven output optimization

Contribute to the development of our next-generation web platform, focusing on building an architecture that effectively supports advanced technologies

Check Point is looking for a promising and brilliant Cloud Back End Developer to join Avanan.

Avanan was acquired by Check Point and it is now Check Points Email Security and collaboration solution.

This is a unique opportunity to work on a large-scale cloud-native system (one of the 10 largest in Israel!) using cutting-edge technology in an agile environment!

Key Responsibilities
As a Cloud Back-End Developer, you will be responsible for developing and maintaining exciting security products for Avanans customers. Our production environment is a fast-paced, agile development cloud environment - handling tens of millions of transactions daily

You will develop software serving large scale production real-time multi-tenant environment, handling large quantities of data, using microservices architecture and design patterns.

The domain you will tackle will involve cutting edge cybersecurity cloud solutions, like phishing, impersonation, anomaly detection, and more. All are implemented with the latest AWS tools and managed services such as Elastic Container Services, Kinesis, DynamoDB, SQS, Opensearch, ElasticCache, Iceberg, and many more. You will design and develop high impact real-time components and take ownership of the end-to-end solution.

Develop production-grade, large-scale cloud-based security products.
Design and develop data-driven applications in an agile development environment.
Collaborate cross-functionally with product managers, QA, automation, data engineers, and other engineers to achieve elegant solutions.
Work alongside other engineers on the team to elevate technology and consistently apply best practices.

Meta is seeking researchers to join its media research teams, which are leading advancements in image and video understanding and generation. These efforts are central to our mission and tackle some of the most critical research challenges of our time. Our work spans machine learning, computational statistics, and applied mathematics, with an emphasis on large-scale media understanding and generative models. We are looking for individuals who are passionate about pushing the boundaries of these fields developing technologies that allow machines to perceive, interpret, and generate rich, expressive media through both cutting-edge research and impactful real-world applications.
AI Research Engineer, Media Research Responsibilities
Researching, designing, implementing and improving machine learning systems
Collaborate on research projects within a globally based team to advance the science and technology of intelligent machines
Clean machine learning code in Python, and laying the science behind the engineered systems.

We are looking for a talented and experienced JavaScript Developer to join our Web Protection team. As a Software Developer within our team, you will play a critical role in developing cutting-edge products and solutions aimed at protecting our customers from various threats encountered in the web environment. You will have the opportunity to work on challenging projects, collaborate with cross-functional teams, and contribute to the development of industry-leading security solutions.

Key Responsibilities
Lead the Design, develop, and maintenance of high-performance JavaScript applications and components focused on web protection and security.
Collaborate with product managers, designers, and other developers to conceptualize and implement innovative features and solutions.
Conduct thorough code reviews and provide constructive feedback to team members to ensure code quality, performance, and security best practices.
Stay up to date with the latest web security trends, vulnerabilities, and attack vectors to proactively identify and address potential threats.
Participate in architecture and technical design discussions to drive forward-thinking solutions that meet both current and future business needs.
Contribute to the improvement of development processes, tools, and methodologies to enhance team productivity and efficiency.
Join sessions with customers for feedback and troubleshooting, gathering insights to enhance product functionality and address any issues or concerns.

Meta is seeking researchers to join its media research teams, which are leading advancements in image and video understanding and generation. These efforts are central to our mission and tackle some of the most critical research challenges of our time. Our work spans machine learning, computational statistics, and applied mathematics, with an emphasis on large-scale media understanding and generative models. We are looking for individuals who are passionate about pushing the boundaries of these fields developing technologies that allow machines to perceive, interpret, and generate rich, expressive media through both cutting-edge research and impactful real-world applications.
AI Research Scientist, Media Research Responsibilities
Conducting research, developing novel approaches, and advancing the theory and application of machine learning methods
Prototyping and validating research ideas in Python, grounding experiments in data and evaluation scientific methodology
Collaborating on scientific research with a globally distributed team to push the boundaries of intelligent systems