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Were looking for a talented Radar System Engineer to join our innovative system team. As a member of our team, you'll work on multidisciplinary system design, which combines cutting edge RF, digital, signal processing, software, hardware and chips development.
Responsibilities:
Participate in the development and production of radar sensors
Debug our Radar ASIC platforms and processors
Develop subsystem specifications and process flows
Simulate and validate Radar system performance
Solve diverse complex problems and help in the debugging and integration process
Support and manage the product evaluation process involving customers.
Interface with multi-disciplinary product development team in support of design, integration and test of automotive radar systems
define system requirements for various projects.

Required Senior Edge-AI SoC Formal Verification Engineer, Cloud
About the job
Be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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.
Our mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.
Responsibilities
Pioneer and refine formal verification methodologies by systematically embedding AI tools to optimize verification accuracy.
Plan the formal verification strategy and create the properties and constraints for complex digital design blocks.
Utilize formal property verification tools combined with formal verification closure techniques to verify properties and apply sign-off to blocks.
Architect and implement reusable formal verification components.

Required Data Engineering Lead
Why this role matters:
Data isn't just for dashboards - it's the nervous system of our future products. As we expand into smart lighting (Oasis) and living tech (Easyplant), we need to process massive streams of IoT signals and power real-time AI. You won't just maintain a warehouse; you will architect the platform that connects our physical products to the digital world.
What youll do:
Build the "Brain": Architect the next-gen data platform capable of handling high-volume IoT streams and integrating AI capabilities into our daily operations.
Code the Core: This is a hands-on role. You wont just manage; youll be deep in Python, DBT, and Airflow, building and optimizing the pipelines yourself.
Scale for Complexity: We are growing from one product to a multi-brand ecosystem. You will ensure our data infrastructure evolves to support diverse business lines without becoming a bottleneck.
Democratize Insights: Build a system so robust and intuitive that every engineer, product manager, and marketer can self-serve the data they need to build better products.

We are hiring a Fullstack Developer!
Help shape the future of building operations by creating products that transform how people interact with their buildings.
Here, you wont just write code, youll create products that redefine how people interact with the built world.
Youll work with cutting-edge technologies across the stack, solve meaningful real-world challenges alongside a talented cross-functional team, and have the freedom to innovate, optimize, and make a visible impact.
Responsibilities
Own the end-to-end development of product features, ensuring high-quality delivery from initial planning, execution, testing and deployment.
Design and implement well-architected systems and services that integrate seamlessly within our ecosystem to push our bar higher.
Collaborate with product, design, customer experience to deliver impactful features that enhance user experience.
Enhance system performance, scalability, and reliability while streamlining CI/CD pipelines using AWS and Kubernetes best practices.
Conduct thorough code reviews to maintain high standards across the team.
Stay current with industry trends, continuously expand your expertise, and apply new learnings to improve our products.

Required Senior Software Engineer - C/C++
Responsibilities:
Design, develop, and maintain production-grade software using C++ and Python.
Build modular, well-architected components following object-oriented design principles.
Optimize code for real-time and low-latency operation.
Collaborate with cross-functional teams to deliver end-to-end solutions.
Write clean, maintainable, and well-tested code.

Shape the future of AI-powered software engineering at Palo Alto Networks. As part of our AI Transformation group, youll join a multidisciplinary group building state-of-the-art, agentic AI systems that directly elevate the productivity of thousands of internal engineers.
We build internal AI infrastructure, frameworks, agents, harnesses, methodologies, and adoption programs powered by cutting-edge LLMs. Whether you are researching novel AI paradigms, architecting platform infrastructure, engineering end-to-end agentic tools, or driving developer enablement, your work will redefine how software at Palo Alto Networks gets built at scale.
This is an applied AI research role, where you will be inventing new technology, bringing the latest innovations into our agentic software development practices, and responsible for co-building systems that get deployed to our entire, global Cortex engineering organization.
Key Responsibilities
Stay at the forefront of AI advancements in agentic coding and integrate state-of-the-art techniques.
Build functional Proof of Concepts (PoCs) and architectural skeletons to evaluate new AI techniques before scaling.
Critically audit and challenge internal AI solutions, benchmarks, and architectures to prevent technological obsolescence.
Design rigorous testing methodologies to assess model accuracy, latency, cost efficiency, and drift across solutions.
Research and design advanced knowledge-retrieval architectures, including standard and graph-based RAG and hybrid contextual search.
Collaborate with core AI engineering to transition validated prototypes into reusable components for our engineering workforce.
Coordinate closely with the US Foundational AI Research team via flexible evening Israel / morning US meetings.

What am I going to do?
Identity & Access Management: Own Okta as our primary IdP. Architect and automate complex identity lifecycles, directory integrations, and context-aware adaptive MFA policies.
Endpoint Management (MDM): Design and manage our enterprise Apple ecosystem using Jamf Pro. Optimize zero-touch deployment (Apple Business Manager), patch management, and security configurations.
SaaS & Cloud Operations: Act as the primary administrator for our core SaaS stack. Integrate systems via APIs, webhooks, and automated workflows.
AI Integration & Automation: Implement AI-driven operations (AIOps) for smart monitoring, predictive analytics, and low-code/no-code automated IT support workflows.
Security & Compliance: Lead the technical execution of security roadmaps, actively driving initiatives to meet and exceed annual compliance targets. Partner with security to enforce zero-trust architecture, manage vulnerability patching, and pull automated evidence for compliance audits (SOC2/ISO 27001).

We are seeking a talented Senior DevSecOps Engineer / Security Architect to act as the primary security owner and focal point for the Velocity R&D organization. The ideal candidate will possess a background in IT and security platforms, strong coding skills, the ability to independently learn new technologies, an unwavering commitment to quality, a collaborative work ethic, and a profound passion for securing complex infrastructures.

Were looking for a hands-on Data Platform Team Lead to guide a high-performing team in designing, scaling, and operating the infrastructure that powers Chargeflows platform.

This role combines architectural leadership with people management. Youll define the technical direction for our data platform while developing engineers, strengthening execution, and building a culture of ownership and technical excellence.

Youll be responsible for the reliability, performance, security, and cost efficiency of data systems supporting millions of daily transactions and critical product, machine-learning, and analytics use cases. This is a role for someone who can move comfortably between long-term architecture, hands-on technical problem-solving, and day-to-day team leadership.

The impact youll have

Build and evolve the data infrastructure that safeguards our clients revenue and powers critical product, ML, and analytics use cases.
Establish scalable engineering standards and operational practices (reliability, security, governance, and cost efficiency).
Lead and grow a team of data/infrastructure engineers while cultivating technical excellence and psychological safety.

What youll own (Your arena)
Leadership & Mentorship: Lead, mentor, and scale a team of talented data and infrastructure engineers.
Create strong execution rituals: clear ownership, high-quality delivery, feedback loops, and growth plans.
Data Infrastructure & FinOps: Own the architecture and evolution of our modern data stack and platform services.
Drive cloud cost management (FinOps): cost visibility, optimization initiatives, and capacity planning.
High-Performance Engineering: Oversee the design of distributed systems, real-time streaming, and batch pipelines capable of processing millions of daily transactions with minimal latency.
Define technical direction for storage, compute, and data movement patterns (event-driven + lakehouse).
Operational Excellence Champion Infrastructure-as-Code (IaC), CI/CD, and testing practices for infrastructure and data systems.
Establish observability standards (monitoring/alerting, SLOs, incident response, postmortems).
Partner on security compliance and data governance across the R&D organization.
Strategic Collaboration: Act as the bridge between data engineering, product, data science, and core R&D teams to execute cross-functional initiatives.
Translate business goals into platform roadmaps, milestones, and measurable outcomes.

Principal Software Engineer Data Platform ( Cortex)
Job Summary:
Join the Cortex team as a Principal Backend Engineer and own the backend strategy for our integrated detection and response engine. You will be responsible for transforming raw endpoint, network, and cloud data into actionable intelligence, using AI-driven techniques to dramatically reduce false positives and focus our defense on what truly matters: stopping the worlds most critical threats.
Key Responsibilities:
backed by the massive scale and resources of a global leader, to architect and scale a world-class data infrastructure capable of processing billions of events per second in real-time.
Integrate state-of-the-art AI technologies to transform raw telemetry from the industry's leading cyber products into high-fidelity, actionable intelligence.
Own the end-to-end software development life cycle, from conceptualizing complex distributed systems to deploying high-performance code, building AI-augmented systems that are fast, maintainable, and resilient.

We are looking for an experienced Technical Lead to direct the technical vision across our Infrastructure Group (DevOps, Data Infrastructure, and Backend Platform).This person is deeply experienced in the DevOps and Data Infrastructure worlds, with solid working knowledge of the backend (Java) stack - enough to challenge service architecture and align infrastructure decisions with how services are actually built and run. This is a cross-cutting, technical role. The Technical Lead drives architecture, eliminates silos between teams, standardizes foundational engineering practices, and mentors senior engineers across the group

Team tasks you will take part in
Act as the infrastructure technical lead within the R&D organization, directly influencing our broader technology roadmap.
Drive the end-to-end technical strategy for cloud infrastructure across AWS and multi-cloud environments, from conceptual architecture to production readiness.
Collaborate with technical leads across engineering to ensure cross-group implementations align with our overall technical strategy.
Design and execute the rollout of AI infrastructure, including governed model access, LLM proxy architectures, inference/serving platforms, and MCP and agent infrastructure.
Establish AI as a first-class engineering capability across us (AI SDLC) by deploying governed coding agents, IDE assistants, AI-assisted code review, testing, and documentation-enforcing guardrails, cost controls, and usage visibility to deliver a measurable shift in throughput.
Architect and continuously evolve CI/CD systems and delivery pipelines at scale to reduce friction and elevate developer safety standards.
Collaborate directly with backend teams to architect scalable microservices and optimize datastore performance across RDS MySQL, MongoDB, and Snowflake.
Define and enforce organization-wide observability, reliability, and performance standards, establishing best practices for monitoring, alerting, and system health.
Cloud security, and incident management processes, ensuring systems remain resilient, secure, and compliant.

We are hiring Senior Forward Deployed Engineers - the Technical Builders, responsible for deciding that leads who design, build, and deploy the most complex agentic AI solutions directly inside enterprise customer environments. You'll lead technical delivery on your team, mentor the next wave of engineers, and set the engineering standards that define how agentic AI gets deployed at scale. Partnering closely with a Deployment Strategist (Strategic Builder - a customer-facing advisor who shapes AI strategy and drives adoption), you'll own outcomes end-to-end, from architecture decision to production. Your passion for well-crafted software that solves real problems will be supported by best-in-class AI tools and a team of talented builders around you.

The Senior Builder Experience

Technical Ownership: Partner with a Deployment Strategist to own customer outcomes end-to-end. You're the senior technical authority in the room, ensuring deliverables meet the highest engineering standards, whether it was generated by an AI tool by a colleague or written by you directly.

AI-Supported Engineering: Cursor, Claude, and Salesforce coding products like Vibes are embedded in your daily workflow. The conventions and patterns you develop tend to propagate through the team because other Builders look to your work as reference.

Roadmap Influence: Your field experience routes directly to Product and Engineering. The gaps you hit and the edge cases you encounter in real life customer environments become the features they ship. Senior Forward Deployed Engineers are the most credible voice in agentic AI product evolution.

Continuous Innovation: You're expected to stay at the forefront - piloting emerging AI tools, experimenting with new models and frameworks, and sharing what you learn with your team and customers.

As a Professional Service Staff Consultant , you will serve as a trusted technical advisor to enterprise customers, helping them design and implement secure, scalable, and automated Certificate Lifecycle Management (CLM), PKI, and Machine Identity Security solutions.
You will lead customer engagements across cloud, hybrid, and on-premises environments-from discovery and architecture through implementation, integration, automation, and enablement. Working closely with security, PKI, cloud, DevOps, and engineering teams, you will translate customer requirements into practical solutions that improve security, visibility, governance, and operational efficiency.
You will act as a customer advocate and subject matter expert, collaborating with internal Sales, Customer Success, Support, Product, Engineering and Global Delivery Teams. The role is primarily consultative and delivery-focused, with an emphasis on solving complex customer challenges and driving successful technical outcomes rather than direct sales.
Key Responsibilities
Operate within a focused team to protect the world's largest organizations using Machine Identity Security solutions.
Translate business and technical requirements into secure, scalable, and practical solutions across cloud, hybrid, on-premises, and self-hosted environments.
Lead customer engagements from discovery through architecture, design, implementation, integration, automation, testing, and enablement.
Prepare and deliver specialized technical workshops, demonstrations, and architecture sessions for technical and executive stakeholders.
Evaluate existing business processes, identify opportunities for improvement and automation, and track the success of customers' MIM programs.
Act as a customer advocate and subject matter expert, supporting multiple accounts and driving successful Machine Identity Security outcomes.
Develop and document reusable patterns, blueprints, and best practices to support customers and internal delivery teams.
Maintain close, collaborative relationships with PANW teams, partners, and customer organizations.

We are seeking an experienced, people oriented Engineering Manager to lead our high-performing Identity Authentication engineering team. Driving the modernization of core, mission-critical authentication domains across our primary product, delivering massive impact at scale. In this role, you will balance technical leadership, people development, and operational execution to deliver secure, scalable, and resilient SaaS cloud services. Working in close partnership with Product Management, Security Architects, and cross-functional engineering leaders, you will foster a culture of continuous delivery, technical excellence, and innovation. You will empower a team of talented engineers, remove roadblocks, and ensure our systems satisfy demanding global scale, high throughput, and Non-Functional Requirements (NFRs).
Your Impact:
Drive agile engineering practices to deliver high-quality, production-ready features on schedule while maintaining a strong balance between feature delivery, platform health, and technical debt.
Partner with domain experts to guide architectural decisions, review designs, leveraging no-code, low-code, and AI-based solutions.
Maintain high standards for service reliability, production health, automated testing (CI/CD), and incident response.
Mentor, coach, and grow a high-performing team of software engineers; conduct 1:1s, support career development, and foster an inclusive, high-trust engineering culture.
Align team goals with Product Managers, Security Architects, and global stakeholders to translate business strategy into clear technical execution plans.