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we are looking for a highly skilled Senior RF Engineer to lead the design and development of next-generation imaging radars operating up to 81 GHz. The ideal candidate has strong expertise in RF board design and high-frequency simulations, with a proven track record in delivering robust RF solutions for advanced RF systems
What will your job look like:
Lead the design and development of RF circuits and PCBs for mmWave applications up to 81 GHz.
Assist in the antenna design and integration
Conduct full-wave and circuit-level RF simulations (HFSS, ADS etc.) to validate design performance.
Optimize high-speed PCB layouts for minimal loss, crosstalk, and parasitics at mmWave frequencies.
Define and execute test plans, including lab measurements, characterization, and validation of RF systems.
Collaborate cross-functionally with hardware, digital, mechanical, and system engineering teams.
Document design methodologies, test results, and provide technical reports for internal and external customers.

We're looking for an experienced Principal Threat Researcher to join our Threat Hunting team. Reporting to the Senior Manager, Threat Research, you'll be responsible for:

Leading end-to-end research POCs: formulating hypotheses, designing methodologies, implementing experiments, analyzing results, and translating findings into production-ready capabilities and customer outcomes
Researching and developing methodologies for identifying, assessing, and mitigating threats and risks across diverse data sources
Partnering with data scientists and ML engineers to shape model features, training data strategies, and evaluation frameworks derived from real-world signals
Providing actionable recommendations to improve data quality, policies, detections, controls, and response strategies across Zscalers security offerings
Presenting research findings clearly and meaningfully to technical and non-technical stakeholders; influencing roadmap decisions with evidence-based insights

we are looking for a Senior Software Engineer to join the DevOps Team within the SW Engineering Group in the Algo Department. This role combines software engineering, DevOps, and CI/CD ownership, with a strong focus on creating scalable infrastructure, automation, and AI-powered developer tools (MCPs, LLM-based assistants, smart pipelines). You will be part of the team responsible for enabling fast, reliable, and intelligent development workflows across all Algo teams. Why this role matters we are transforming the way the world drives from safety systems to full autonomy. As part of the DevOps team in the SW Engineering Group, you will shape how engineers build, test, deliver, and interact with code bringing automation, AI, and modern engineering practices into every step of development. If youre a hands-on engineer who loves solving real problems, automating complex flows, and using AI to enhance how developers work this is the place for you.
What your job will look like:
Design, develop, and maintain backend infrastructure and CI/CD systems
Lead DevOps improvements across CI, GitLab pipelines, automation, and delivery processes
Build AI-driven tools and MCPs to optimize code reviews, pipeline insights, and developer productivity
Modernize and refactor legacy components into scalable services
Develop internal APIs and services used by pipelines, bots, IDE extensions, and engineering tools
Collaborate with Algo developers, DevOps engineers, IT, and software teams to deliver efficient and reliable solutions
Ensure best practices in code quality, testing, monitoring, and documentation
Tech stack:
Languages: Python (main), Groovy, TypeScript, React
DevOps & CI/CD: GitLab CI, Jenkins, Docker, Kubernetes, Linux
Cloud & Infrastructure: AWS (EC2/ECS/EKS)
AI & Automation: MCPs, LLM-based workflows, AI copilots, Elastic dashboards
Databases: DynamoDB, PostgreSQL, MySQL, Elasticsearch, Redis
Testing: PyTest, JUnit, Spock
Tools: Git, Jira, Artifactory, Vault.

The EyeQ SoC Performance Modeling and Profiling team is part of the EyeQ Platform Group (EPG), working on both current and next-generation designs for ADAS (Advanced Driver-Assistance Systems) and Autonomous Vehicles (AV). Performance models and profiling tools are essential components of the EPG infrastructure they are used during the hardware architecture definition phase of the EyeQ chip and by software developers to optimize performance.
What will your job look like:
You will be part of team that develops EyeQ SoC Performance Modeling environment and emulators
You will work on SOC performance analysis and optimizations.
You will be running HW benchmarks, to measure HW performance and to calibrate the simulation environment to match the performance of the silicon board.
You will be working on HW performance analysis and tuning, and influence future company EyeQ SoC design.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/Algorithms developers.

The EyeQ SoC Performance Modeling and Profiling team is part of the EyeQ Platform Group (EPG), working on both current and next-generation designs for ADAS (Advanced Driver-Assistance Systems) and Autonomous Vehicles (AV). Performance models and profiling tools are essential components of the EPG infrastructure they are used during the hardware architecture definition phase of the EyeQ chip and by software developers to optimize performance.
What will your job look like:
You will be part of team that develops EyeQ SoC Performance Modeling environment and emulators
You will work on SOC performance analysis and optimizations.
You will be running HW benchmarks, to measure HW performance and to calibrate the simulation environment to match the performance of the silicon board.
You will be working on HW performance analysis and tuning, and influence future company EyeQ SoC design.
You will have the opportunity to work on open-source simulation and profiling tools and adopt them to our company's needs.
You will work closely with HW architects and SW/Algorithms developers.

we are looking for a Analytics Engineer.
What Youll Do:
Work cross-functionally with Product, Engineering, Leadership and Design teams to deeply understand business needs and translate them into data requirements, well-defined metrics, and analytical tools to enable KPI tracking
Design, build, and maintain scalable, reliable data models and infrastructure to support analytics, operations, and product use cases
Champion data quality, documentation, and execution to ensure observability and trust across the organization
Own all data aspects of the flights team line of business
Spearhead AB testing development and implementation to increase deployment trust.
Support ongoing and adhoc analyses to ensure business goals are met and to uncover areas of opportunity

Which department will you join? The SOC verification group owns the important and challenging job of verifying our company's chip. It is involved from product specification to final SOC delivery, and involves all the system components. The group is made up of few of the best verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams.
What will your job look like:
You will manage a team of 5 engineers
You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
You'll have a broad effect on our unique product from the very beginning of the process.

We're looking for an experienced Senior Backend Engineer to join our UVM team. Reporting to the Senior Manager, Software Engineering, you'll be responsible for:
Developing and maintaining high-quality, scalable backend services within a microservices architecture using Java /Spring Boot and participate in design from scratch to production
Delivering high quality features for our high-scale web environment
Monitoring the performance and cost of the services in production
Staying up-to-date with industry trends and best practices to improve our technology stack and development processes
Integrating with other team members (backend/frontend/product/UX)

Which department will you join? The SOC verification group owns the important and challenging job of verifying our company's chip. It is involved from product specification to final SOC delivery, and involves all the system components. The group is made up of few of the best verification engineers, so besides contributing to making our roads safer, youll get the chance to work at one of the most professional verification teams.
What will your job look like:
You will manage a team of 5 engineers
You'll be responsible for Pre-Silicon system-level verification of the most cutting-edge AI accelerators and technologies in the automotive field.
Define the TestPlan, develop and run tests on simulation/emulation environments, develop test environment and verification collaterals.
You'll have a broad effect on our unique product from the very beginning of the process.

We are seeking a skilled Backend Engineer to join our team and help us build Cognition, a multi-agent AI platform. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.
About the Role:
You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.
What Youll Do:
Design and develop scalable, high-performance backend services and APIs.
Implement integrations with AI platforms and services.
Work with AI specialists to translate AI capabilities into production-ready features.
Assist in the entire GenAI project lifecycle, from ideation and data strategy to prompt engineering and agent evaluation.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.