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As a Technical Release Manager on our Cortex Content Engineering team, you will own the release lifecycle for our 3rd-party integrations and out-of-the-box content. You will ensure smooth, predictable, and high-quality deliveries by leading release execution and managing dependencies across core Cortex R&D and adjacent product engineering teams. By combining strong operational discipline with a solid technical foundation, you will streamline release processes and drive cross-team execution. This role is critical to maintaining a high-velocity delivery pipeline while ensuring alignment across our organization.
Key Responsibilities
Post-Release Stability & Telemetry Monitoring: Oversee field stability post-deployment. Monitor runtime logs, track telemetry data, and identify system crash thresholds, error benchmarks, and quality trends across customer releases.
Technical Triage & Incident Resolution: Act as the primary technical interface for production bugs and field escalations. Utilize your QA/Dev background to reproduce complex edge cases, analyze APIs and integrations, and direct engineering teams toward rapid root-cause remediation.
Metrics, KPIs & Data-Driven Visibility: Establish and report on release health metrics (e.g., MTTR, error rates, failure thresholds, defect trends) through Jira and analytical dashboards to provide leadership with actionable data.
Controlled Rollout Strategy: Design and manage phased release pipelines, customer rollout groups, and deployment batches to minimize blast radius and ensure seamless delivery.
Feedback Loop to R&D: Channel post-release field learnings back into the pre-release development and testing cycles to iteratively enhance quality before software touches customers.

In this highly visible role, you will be working with the elite CPU and SOC teams which powers products that are exceptionally efficient and exceptionally performant. You will be at the center of a chip design effort interfacing with all disciplines spread across multiple geographies, with a critical impact on getting functional products to millions of customers quickly.

The responsibilities include all phases of pre-silicon verification including but not limited to: establishing DV methodology, test-plan development, verification environment development including stimulus and checkers, test-writing, debug, coverage, sign-off for RTL freeze and tape-out.

Play a critical role in end-to-end verification of memory subsystem by developing an in-depth understanding of cache coherence protocols and functioning of various units in CPU/SOC that are relevant to memory subsystem verification. These units include Load-Store unit, different levels of caches, bus interface units, memory controller, etc.
Develop verification environment which can be used in both simulation and emulation.
Develop synthesizable transactors and test benches and support verification hooks for verifying memory subsystem functionality and CPU/SOC features.
Develop unit level stimulus as well as full chip assembly or C programs to verify memory subsystem functionality.
Develop verification IPs that can be utilized by Apple teams worldwide
Work closely with the CPU/SOC RTL spread across US and Israel to understand the specification in detail for developing verification strategy taking system level considerations into account.
Develop coverage monitors and accomplish coverage goals for closure of the design.
Develop abstract end-to-end checks to verify CPU-SOC memory subsystem interaction and coherence protocols

Required Senior AI Algorithm Engineer - Vision Localization Group
About the team:
Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments.
The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving.
What will your job look like:
Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
Combine learning-based methods with classical optimization and geometric algorithms.
Own the entire lifecycle from prototyping to deployment.
Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
Drive innovative solutions for high-precision localization at production scale.

we are looking for a Senior Staff Engineer to join our team responsible for the machine identity and access offering, designing and developing services used as part of our company's SaaS products.
The team designs and develops services that integrate closely with leading cloud vendors like AWS, Azure, GCP, and many other DevOps services and tools, providing managed access to sensitive assets in the organization.
In this role, you will be using advanced AWS micro-services, with Ruby, Golang, Java and Python through the entire SDLC from planning to production.
The team collaborates with security architects, product managers, and other development teams.
Together we produce complex and advanced solutions that meet the highest security and scalability standards.
We are looking for someone energetic and versatile to join our family and help us achieve our goals.
Design and develop new features using container-based architectures
Research new technologies and platforms
Be a member of a highly talented cross-functional development team of developers, architects, and QA engineers, in an agile oriented environment
Participate in continuous and iterative engineering cycles, emphasizing code quality, supportability, scalability, and performance.

We're looking for a driven, hands-on Full Stack Engineer who wants to build at the cutting edge of AI and media.

Build and own agent-powered features end to end in Node.js, TypeScript and React
Implement agents that combine audio, video and text context to create and edit content
Build generative experiences that let users create any content they want, get insights from the platform, and connect it straight into their edit
Work closely with Product to understand the why behind what we build, challenge tasks that aren't clear, and help shape the solution
Move between several product areas and stakeholders, keep work moving across dependencies, and flag blockers early
Use AI tools as a natural part of how you design, build and debug, while reviewing their output with a critical eye

Required Reinforcement Learning Researcher | Learned-Policy Group
About the team:
Build the intelligence behind the next driving decision.
Were building a reinforcement-learning driving planner for complex, interactive road scenarios. Were looking for a researcher to help take it from simulation to real vehicles.
Youll develop policy models, rewards, and training methods. Youll define how driving behavior is evaluated, analyze failures in closed loop, and validate improvements on the road. Youll work in a small team and collaborate with control and other algorithm teams.
This is a high-impact role with direct influence on a core part of our
driving technology and its future products.
What will your job look like?
Research and develop reinforcement-learning planning algorithms, including policy architectures, reward design, training objectives, and optimization methods.
Train and evaluate RL policies for difficult, interactive driving scenarios, building on the existing learning-based planner and complementary classical components.
Develop evaluation methods and relevant metrics for safety, progress, comfort, and interaction quality, and use them to guide experiments and analyze failures.
Build simulation-based training and closed-loop evaluation workflows.
Turn research ideas into reliable components of the driving stack.

As a RTL Engineer, you will own or participate in the following:
* Microarchitecture development and specification - from early high-level architectural exploration through micro architectural research and arriving at a detailed specification.
* RTL feature ownership - development, assessment and refinement of new RTL features to target power, performance, area and timing goals.
* Validation - support test bench development and simulation for functional and performance verification.
* Performance exploration and correlation - explore high performance strategies and validate that the RTL design meets targeted performance.
* Design delivery - work with multifunctional engineering team to implement and validate physical design on the aspects of timing, area, reliability, testability, and power.

Required Outstanding Graduate Algorithm Developer - Vision Localization Group
About the team:
Our vision Localization group is responsible for accurately localizing the vehicle on a high-definition 3D map with centimeter-level precision using surround camera systems to enable autonomous driving. Our work combines advanced geometric reasoning, scene understanding, and large-scale mapping to solve one of the core challenges of autonomous vehicles in complex real-world environments.
The role involves developing algorithmic and deep learning solutions that integrate mathematical optimization, computer vision, and 3D geometry. We work with modern neural network architectures including Transformers, GNNs, and CNNs to solve problems involving scene understanding, object association, and precise spatial reasoning in dynamic environments. The HD map contains rich geometric and semantic information that is critical for safe driving and cannot always be inferred reliably from images alone under all visibility conditions or viewpoints. In addition to achieving highly accurate localization, the team is also responsible for estimating map relevance and consistency with the current world state to ensure safe and reliable autonomous driving.
What will your job look like:
Develop state-of-the-art localization algorithms for autonomous driving using multi-camera surround vision systems.
Design and implement deep learning models based on Transformers, Graph Neural Networks, and Convolutional Neural Networks.
Solve challenging problems involving 3D geometry, scene understanding, object matching, and spatial reasoning.
Combine learning-based methods with classical optimization and geometric algorithms.
Own the entire lifecycle from prototyping to deployment.
Analyze real-world driving data and improve system robustness under diverse environmental and visibility conditions.
Drive innovative solutions for high-precision localization at production scale.

We're looking for a Senior DevOps Engineer with a strong Developer Experience (DevEx) mindset, someone who genuinely enjoys making developers more productive by building and improving the tools, infrastructure, automation, and workflows they use every day.
You will work across CI/CD, developer tooling, automation, infrastructure, observability and productivity. Your primary focus will be making development and delivery faster, simpler, more reliable, and more cost-effective.
We need someone who can independently identify developer pain points, proactively discover opportunities for improvement, and turn them into scalable engineering solutions. You will be expected to measure the impact of your work and continuously improve critical metrics such as CI feedback time, pipeline reliability, deployment time, infrastructure cost, and overall developer productivity.
This role is a perfect fit for someone who thinks far beyond just "keeping the infrastructure running" and is excited about revolutionizing the entire engineering experience.
Your Impact:
You will tackle high-impact engineering challenges across our platform. Representative areas you will own and work on include:
Optimize CI/CD Pipeline Velocity & Stability
Improve CI Stability: Leverage AI to automatically detect recurring test failures, dynamically disable problematic tests, and open Jira tickets for follow-up.
Automate Workflows: Utilize AI to automate merge conflict resolutions and keep the merge train moving smoothly.
Accelerate CI Velocity: Architect workflows to parallelize work both across jobs and within jobs. Introduce highly effective caching strategies and local Artifactory mirrors to drastically reduce build and dependency-fetch times.
Optimize CD: Reduce container image sizes and accelerate deployment times. Partner with QA to introduce and streamline automated regression testing against tenants.
Drive Repository Security & Maintenance
Improve Security Posture: Automate the identification and remediation of Go and Python dependencies with known CVEs.
Automate Maintenance: Design systems to automatically handle Go and Python version upgrades across the codebase.
Ensure Performance: Automate performance testing to proactively detect and alert on performance regressions before they hit production.
Cloud Infrastructure & Cost Engineering
Reduce Infrastructure Costs: Identify and implement innovative opportunities to reduce overall infrastructure and resource consumption.
Resource Efficiency: Introduce mechanisms to make our "slim tenants" even more resource-efficient for development and testing.
Smart Observability: Re-architect our logging strategy by streaming GCP logs to more cost-effective sinks instead of relying exclusively on Cloud Logging.
IaC Governance: Act as a gatekeeper for infrastructure quality by reviewing Terraform Merge Requests (MRs) for correctness, efficiency, maintainability, and strict adherence to engineering standards.

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.

We're looking for an engineering leader who grew up as a developer, knows infrastructure deeply, and loves building teams that let everyone else move faster.

Lead the Platform Engineering group (Backend, DevEx, Platform, DevOps, security, and AI infrastructure) through its team lead
Own the reliability, scalability, cost and security of our cloud infrastructure and core platform services
Set the platform roadmap with the VP R&D, and balance it against what product teams need right now
Hire, grow and coach team leads and engineers, and build a group people want to join and stay in
Work closely with the other R&D groups, Product and the business to understand what matters most and unblock them
Stay close to the details: join design reviews, dive into incidents, and make the hard technical calls
Help shape how Riverside builds with AI, from the infrastructure our agents run on to how engineers work day to day

We are a strong, fast-moving team developing advanced solutions in one of Palo Alto Networks most innovative areas - Email Security.
We are looking for an exceptional Senior Frontend Engineer with deep technical skills, an AI-forward mindset, and a passion for creating top-tier user experiences. You will join a team that values clean, scalable architecture and high-quality code, leveraging AI to accelerate development. Working closely with Product, UX, and Backend teams, you will deliver impactful features and intuitive interfaces that help protect our customers from phishing, business email compromise, and evolving email-based threats.
Key Responsibilities
Frontend Development & Architecture: Design and develop high-performance, scalable user interfaces using Angular and TypeScript. Contribute significantly to architectural decisions and continuously evolve our core frontend features.
AI-First Development Evangelism: Build, refine, and champion AI-powered development practices, including automated testing, intelligent code reviews, and code generation. Leverage AI coding assistants to significantly accelerate delivery timelines and elevate code quality.
Feature Ownership: Take end-to-end ownership of critical frontend features, proactively challenge assumptions, and drive development to craft industry-leading user interfaces.
Cross-Functional Collaboration: Partner closely with Frontend, Product, UX, and Backend teams to accurately translate complex security needs and requirements into intuitive, seamless user experiences.

In this role you'll participate in the architecture of next generations of our ISP, handle RTL implementation of the micro-architecture, participate in clearly defining specification, testing and verification of the designs. You will work in collaboration with CAD & PD teams to implement RTL design into GDS, run various flows and provide guidelines to other designers and participate in establishing CAD and design methodologies for correct by construction designs.
Were not all the same. And thats our greatest strength. We draw on the differences in who we are, what weve experienced, and how we think. Because to create products that serve everyone, we believe in including everyone. Therefore, we are committed to treating all applicants fairly and equally. We will work with applicants to make any reasonable accommodations.

Responsibilities
As a logic design engineer, you will handle micro architecture & RTL implementation as well as front-end work and top-level aspects of the design, such as performance and more. You will work closely with DV teams to verify blocks and SoCs and with PD for design implementation.

We are looking for a Hardware Team Lead to manage our Board Design and Layout team within the AV department.
In this critical role, you will lead the development of cutting-edge automotive products, driving the design and delivery of high-performance electronic boards and systems. You will provide technical leadership, guide the engineering team, and ensure projects are delivered with the highest standards of quality, performance, and innovation.
What will your job look like?
Lead and manage a team of Board Design and Layout engineers, providing technical direction, mentorship, and support.
Lead hardware projects end-to-end, from architecture and design through validation and mass production.
Provide technical leadership throughout the projects, guiding the team on key technical decisions and supporting them in addressing complex challenges.
Collaborate with cross-functional internal teams to drive successful project execution.
Build and maintain strong customer relationships, understand their technical needs, and serve as a key technical point of contact throughout the project.

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.