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We are now looking for a Solution Architect - Deep Learning based in Israel. The individual will collaborate with brand-new Agentic and Physical AI tools alongside Machine learning, Deep Learning, and Data analytics to improve workflows and develop groundbreaking solutions. We are widely considered to be one of the technology worlds most desirable employers. We have some of the most dedicated individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

What You'll Be Doing:

Assisting field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting the customer in building innovative solutions based on our technology.

Be a motivating leader in integrating our technology into HPC architectures to support scientific and engineering applications.

Be an internal champion for Deep Learning and Data Science among the technical community.

Develop demo solutions and showcase to the AI ecosystem.

This role will expand and accelerate the signing platform engineering and scales the operational support to Israel. You would be the first member of Cryptographic Services located in Israel, and the local owner of signing services. We intend to grow this into a local team. Are you ready to help build it!

What you'll be doing:

Own 3S for Israel-based teams during local hours: triage, debug, resolve, and advance with context when it needs the wider US and India team.

Do the engineering, not just the ticket. Review and deploy production fixes, and take root causes back into the platform so the same failure does not return.

Onboard Networking and other Israel-based teams onto signing and key generation flows, and make that onboarding fast.

Drive AI-enabled automated self-service - the 3S Copilot, our MCP integrations, runbooks and docs - so the region can unblock itself without waiting for any time zone.

Be the regional voice in our planning: bring release calendars and bring-up achievements into our roadmap before they become blocking issues.

Partner closely with the US and India teams, and with Networking DevOps and release management in Israel.

Help hire and mentor the team as it grows, including interviewing and onboarding the engineers who follow you.

We are We are seeking a Senior Switch Silicon Security Architect to define end-to-end security across switch silicon, firmware, networking protocols, and management stacks. Working with architecture, engineering, and product teams, this role will shape security from early design through validation, manufacturing, and deployment.

What you'll be doing:

Research, design, and drive the implementation of hardware and software security architectures for switch platforms that meet internal requirements, customer needs, and industry standards.

Develop threat models and define end-to-end security architectures for hyperscale networking solutions spanning silicon, firmware, high-performance networking protocols, and management stacks.

Partner across us with hardware, software, research, and product teams to shape the strategic direction of switch silicon and fabric-level security.

Define and drive multi-generation security roadmaps for switch silicon, networking protocols, and fabric-level solutions.

Engage directly with customers to understand their security requirements and translate them into switch silicon and system architectures that address both component and solution-level needs.

Represent us in industry standards bodies and collaborate with external partners to shape emerging security standards and drive interoperability across silicon and networking ecosystems.

We are looking for a passionate Senior Software Engineer to join our Chip Design CAD team. In this role, you will contribute and work at the interesting junction of electrical and software engineering, developing SW tools and solutions used to design the next generation of Smart Adapters, Switches and GPUs for advanced data centers across the world.


What you'll be doing:

Develop innovative SW solutions.

Take part in defining methodologies affecting design and verification engineers day-to-day work.

Improve existing tools, which are used in-house by electrical engineers for designing the next generation SoCs and Switches.

Collaborate with designers, verification specialists and architects to accomplish your tasks.

We are looking for an excellent Senior Firmware Engineer to join the FW group in Tel-Aviv / Raanana. As a Senior Engineer you will be taking part in designing, implementing and leading major development firmware features, delivering the next-generation data center products who lead the AI revolution.

The Firmware team develops cutting-edge networking features for cloud, HPC and AI. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced. Are you ready for the challenge?

What you will be doing:

Collaborate with architecture and different software design teams as part of the software development lifecycle.

Design and implement new features in the core of our firmware.

Work in pre and post-silicon development environments of next-generation networking products.

Gain a deep understanding of system debugging, networking technology, and stacks, as well as the HW/FW/SW relationship.

Innovate! Bring our FW NVLINK products to shine in customers view.

we are looking for a Senior DevOps Engineer.
WHAT YOU WILL WORK ON:
Build and maintain production environments in a multi-cloud architecture with multiple providers.
Build a proactive model for quickly identifying and resolving infrastructure bugs.
Get a chance to work with virtually all aspects of our rapidly-developing infrastructure.
Drive the success of our systems advancements, cooperating with the development, support and QA teams.
Introduce cutting edge technologies to support new features .
Define and lead security principles.

We are looking for a creative and motivated Software Engineer to join our SONiC open source NOS team. Our team is responsible for the design and integration of SONiC across our Networking products. In this role, youll have the opportunity to work on next-generation, high-speed networking solutions for AI data centers, contribute to open-source projects, and collaborate with experts across us and the broader SONiC community.

Youll help lead the development of new SONiC networking features and chassis management capabilities across our Networking products. Were looking for someone who enjoys solving complex technical challenges, learning quickly, and collaborating in a dynamic and diverse team environment.

What youll be doing:

Design, integrate, and deliver new features as part of the SONiC release train across our Networking products.

Develop networking and chassis management capabilities for next-generation platforms.

Work in a Continuous Deployment environment with fast development and deployment cycles.

Collaborate with experienced teams across our Networking and with members of the broader SONiC open-source community.

Develop high-quality, production-ready code that is published and reviewed in leading open-source environments.

Take ownership of features from design and implementation through integration and delivery.

We are looking for a Senior Software Engineer to provide broad technical leadership for BlueField ARM processor platform boot, from early firmware through Linux login. Do you enjoy looking beyond the problem in front of you and asking how technology, tools, and engineering methods should evolve for the next generation of products? This is an opportunity to have an impact well beyond individual features! We value technical depth, curiosity, and practical innovation, and we want this role to help raise the technical capabilities of the entire organization. This senior individual-contributor position spans firmware, kernel, architecture, and product teams. You will help drive current product development while also shaping future technical direction, introducing new tools and methods, and improving how our teams develop, debug, validate, and understand complex systems.

What you'll be doing:

Own the technical strategy and roadmap for BlueField platform boot integration, from early firmware through Linux login.

Set the technical direction for platform boot integration in partnership with the architecture team, experienced domain experts, product teams, and firmware partners.

Lead the most complex cross-layer technical issues and drive technical decisions with architecture and domain experts on reliability, security, performance, recovery, and platform readiness.

Define the operating model for boot integration: interface contracts, qualification criteria, release decisions, technical risk management, and escalation paths across organizations.

Identify and assess emerging technologies, development methods, and tools. Drive adoption where they improve product capability, quality, engineering efficiency, or time to debug.

we are looking for a Staff Endpoint Software Engineer, Prompt.
As a Staff Backend Software Engineer, youll build the lightweight security components that power our Generative AI Security platform. This includes developing core sensors and enforcement mechanisms that operate across diverse environments-from endpoints and browsers to production workloads-enabling real-time, adaptive security. Youll collaborate with expert engineers, tackle high-impact security challenges, and expand your expertise in AI security, helping to shape the next generation of protection at scale.

In this role, you will architect and implement large-scale distributed systems, low-level platform components, and high-performance services that underpin core product stack. You will drive technical strategy across system reliability, performance, and scalability, partnering closely with product, infrastructure, and data engineering teams to deliver systems that operate at global scale with high availability and efficiency.
Software Engineer, Systems Responsibilities
Architect and implement large-scale distributed systems and platform services that support high-throughput, low-latency workloads across Meta's product infrastructure
Lead the technical design of systems components including storage layers, compute pipelines, networking abstractions, and service orchestration frameworks
Identify and resolve systemic performance bottlenecks through instrumentation, profiling, and targeted optimization across the full systems stack
Define and enforce service level objectives for owned systems, building dashboards, alerting pipelines, and runbooks to reduce mean time to mitigation during incidents
Drive reliability improvements by reducing failure surface, designing resilient rollout strategies, and leading regular resiliency and overload testing exercises
Collaborate with cross-functional partners across product engineering, infrastructure, and data science to align system architecture with evolving product and business requirements
Establish and evolve coding standards, architectural patterns, and engineering best practices for systems development across the broader organization
Leverage AI-assisted development workflows to accelerate design iteration, code generation, and systems analysis, applying sound judgment on when to rely on AI versus deep systems expertise
Mentor other engineers on systems design principles, debugging methodologies, and production operations, and contribute to onboarding programs for new team members
Lead incident retrospectives, identify root causes of complex production failures, and drive implementation of systemic improvements to prevent recurrence

In this role, you will operate as a company-level expert in product analytics, partnering with Product, Engineering, and cross-functional leadership to translate complex, large-scale behavioral data into actionable insights that shape the experiences of billions of people worldwide. You will lead the design of rigorous analytical frameworks, advance forecasting and predictive modeling capabilities, and influence the highest-priority product investments through data-driven storytelling and strategic recommendations.
Data Scientist, Product Analytics Responsibilities
Lead the design and execution of complex analytical projects across product areas, applying advanced statistical methods, causal inference, and experimentation to evaluate product impact at scale
Develop and maintain sophisticated predictive models and forecasting frameworks to inform product roadmaps, goal setting, and resource prioritization
Define and evolve success metrics and measurement strategies for product initiatives, ensuring goals accurately reflect user and business value
Identify and size high-impact product opportunities by synthesizing behavioral data, qualitative signals, and business context across multiple data sources
Partner with Product and Engineering teams to design and analyze large-scale A/B tests and feature rollouts, translating results into clear recommendations for product direction
Build scalable, self-service data pipelines and visualization interfaces that enable cross-functional teams to explore and act on product performance data independently
Communicate complex analytical findings to diverse audiences including product leadership and executives through concise, compelling data narratives and presentations
Contribute to functional data science strategy by proactively identifying methodological gaps, championing analytical best practices, and setting goals across teams
Mentor other data scientists on analytical design, hypothesis formulation, and quantitative modeling, elevating the overall quality and rigor of the team's work
Collaborate with Data Engineering and Research partners to improve data infrastructure, eliminate bias in data collection, and ensure analytical outputs accurately represent the populations of interest

The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk . The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of Metas risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing Metas financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at Meta
Identify and Initiate New Business Opportunities: - Collaborate with Meta FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work

we are looking for a AI Engineer.
Our R&D teams build and own the features that power platform - from deep code analysis to risk detection to developer-facing workflows. AI isn't a separate initiative here; it's how we build. Every engineering team is actively embedding LLMs, AI agents, and generative AI into the products they own, moving from experimentation to production and keeping things running reliably once they're there.
What You Will Do
Build and ship end-to-end AI-driven features and agentic workflows- from experimentation through validation to production deployment (Python and C#).
Design scalable backend services that support production-grade agentic AI capabilities.
Develop and improve solutions powered by LLMs, AI agents, multi-agent systems, and generative AI frameworks.
Evaluate agentic architectures and model performance, owning monitoring, reliability, and continuous improvement in production.
Collaborate cross-functionally with software engineers, data scientists, and analysts to drive AI innovation across the platform.

we are looking for a Software Engineer.
Our Engineering team builds the platform that powers Apiiro's mission: giving development teams the risk context to ship fast and stay secure. We work across a rich technical stack - from deep code analysis engines to customer-facing features - and take full ownership of what we build, from architecture to production. We move fast, collaborate closely with product and customers, and aren't afraid to tackle hard problems.
What You Will Do:
Build robust, scalable systems using a mix of languages, frameworks, and machine learning models, taking full ownership of features from idea to live product.
Collaborate directly with customers to understand their needs and integrate valuable insights into your work.
Drive cross-disciplinary initiatives across tech domains - from DevOps and infrastructure to data engineering and full-stack development - expanding your impact company-wide.
Partner with product and research teams to deliver innovative security capabilities that make a real difference for development teams.

we are looking for a Manager, Data Science & Research.
What will you do:
Lead development of content classification systems across social platforms (Meta, TikTok, YouTube), web, and apps
Design and build models across computer vision, NLP, and multimodal pipelines
Own the full lifecycle: data selection -> labeling strategy -> training -> evaluation -> deployment
Develop strategies for efficient data curation and labeling (active learning, auto-labeling, sampling under scale)
Improve model quality (precision/recall) while balancing cost, latency, and scale
Drive automation systems (auto-labeling, auto-curation, retraining loops)
Apply modern AI approaches (LLMs, embeddings, foundation models) to real production problems
Lead and mentor a team of senior Data Scientists, setting technical direction and pushing execution forward
Work closely with ML Engineering, Product, and Policy to translate ambiguous requirements into scalable systems