לוח משרות דרושים הייטק אבטחת מידע / סייבר משרה מלאה

about the job
be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company'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 as part of a research and development team. you will build verification components, constrained-random testing, system testing, and drive verification closure. you will verify digital designs, collaborate closely with design and Verification engineers on projects, and perform direct verification. you will build constrained-random verification environments that exercise designs through their corner-cases and expose all types of bugs. you will manage the full life-cycle of verification, which can range from verification planning, TEST execution, to collecting and closing coverage.the ai and infrastructure team is redefining whats possible. we empower our company customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity. our customers, our company cloud customers, and billions of our company users worldwide. we're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for our company cloud, our company global networking, data center operations, systems research, and much more.
responsibilities
plan the verification of digital design blocks by fully understanding the design specification and interacting with design engineers to identify important verification scenarios.
create and enhance constrained-random verification environments using systemverilog and uvm, or formally verify designs with sva and industry leading formal tools.
identify and write all types of coverage measures for corner-cases.
debug tests with design engineers to deliver functionally correct design blocks.
close coverage measures to identify verification holes and to show progress towards tape-out.

we're the driving team behind groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for google cloud, google global networking, data center operations, systems research, and much more.
responsibilities
define the block level design documents such as interface protocol, block diagram, transaction flow, pipeline, and more.
perform rtl development (e.g., coding and debug in verilog, systemverilog, vhsic hardware description language (vhdl)), function/performance simulation debug, and lint/cdc/fv/upf checks.
participate in synthesis, timing/power, and fpga/silicon bring-up.
participate in TEST plan and coverage analysis of the block and SOC -level verification.
communicate and work with multi-disciplined and multi-site teams.

in this role, you will be shaping the future of security automation, working with product experts and exploring the latest artificial intelligence (ai) advancements.the google cloud ai research team addresses ai challenges motivated by google clouds mission of bringing ai to tech, healthcare, finance, retail and many other industries. we work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in ai and share findings with the broader research community. we also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
responsibilities
design and implement model context protocol (mcp) tools for security operations (secops) to support different ai security agents.
integrate ai models over vertex ai and work with the product team to understand the requirements for the integration, developing the integration code, and testing the integration.
develop backend in ASP.NET core or Python. design and develop the backend services that will be used to power the ai models.
design and develop core components of the ai chat infrastructure using go. build scalable and reliable services for managing Real-Time communication, managing user sessions, and integrating with ai models.
research and identify new ai technologies and techniques that can be applied to improve the secops security orchestration, automation, and response (soar) platform.

about the job
in this role, youll work to shape the future of ai/ml hardware acceleration. you will have an opportunity to drive cutting-edge tpu (tensor processing unit) technology that powers our company's most demanding ai/ml applications. youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our company's tpu. you'll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on tpu architecture and its integration within ai/ml-driven systems.
as a SOC vision architect in our companys silicon team, you will be at the heart of defining the hardware that powers the next-generation of our companys products. you will bridge the gap between ai research and physical silicon, architecting the image signal processor (isp), codecs and the pixel data path. you will deliver unparalleled image quality while staying within the tight power, performance, and area (ppa) constraints. you will participate in the concept, architecture, documentation, and implementation of a new product.the ai and infrastructure team is redefining whats possible. we empower our company customers with breakthrough capabilities and insights by delivering ai and infrastructure at unparalleled scale, efficiency, reliability and velocity.our companycloud customers, and billions of our company users worldwide.we're the driving force behind our company's groundbreaking innovations, empowering the development of our cutting-edge ai models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. from software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our tpus, vertex ai for our company cloud, our company global networking, data center operations, systems research, and much more.
responsibilities
define a flexible imaging pipeline hardware architecture, from the sensor interface (e.g., mobile industry processor interface (mipi)) through the isp, the encoder/decoder, scaling and memory output.
partner with our company research to transform advanced computational imaging algorithms into high-efficiency hardware logic.
conduct trade-off analyses between power, performance, and silicon area to meet thermal envelopes and current limitations.
influence external executive vendor roadmaps, ensuring deep co-optimization between their future products and our company's custom silicon.
lead collaboration across architecture, register-transfer level (rtl), physical design and validation teams.

A leading technology company developing advanced Cyber security solutions for Embedded platforms is seeking an experienced DevOps Engineer to join a multidisciplinary team.

PlaxidityX is looking for a brilliant Security Researcher to join our elite team. In this role, you will combine offensive research with product innovation. You will conduct in-depth research and penetration testing on Automotive ECUs , uncovering vulnerabilities at both the hardware and software levels. Additionally, you will act as the 'Red Team' for our vehicle protection systems , simulating sophisticated attacks to ensure our detection capabilities stay ahead of global threats.
?What You’ll Do: ECU & Low-Level Research: Conduct deep-dive security research into Automotive Electronic Control Units (ECUs). Automotive Offensive Research: Analyze automotive protocols and architectures to identify, develop, and implement end-to-end attack vectors. Red Teaming: Serve as the internal adversary for our vehicle protection products. You will execute attacks to validate detection efficacy and provide the offensive 'ground truth' needed to improve our security logic. Collaborate with Data Scientists: Work closely with our Data Science teams to fine-tune AI-based detection features, helping to translate complex exploit behaviors into actionable data features.

Advantages:
Data Science & AI: Experience working with data teams, understanding of feature engineering, or experience fine-tuning AI models based on security domain expertise. OS Internals: High level of expertise in Linux / QNX / Android internals (both user and kernel space). Product Security: Experience building or testing Intrusion Detection/Prevention Systems (IDS/IPS) or EDR/XDR platforms. Automotive Knowledge: Understanding of automotive-specific protocols (CAN, Automotive Ethernet, UDS, etc.) and the ability to implement functional attacks against them.

we're building the financial infrastructure that powers global innovation. With our cutting-edge suite of Embedded payments, cards, and lending solutions, we enable millions of businesses and consumers to transact seamlessly and securely. With 900+ employees worldwide and an R&D center of over 160 employees in Jerusalem - were reshaping how financial technology is developed and delivered..
The Role:
As AI capabilities accelerate across the bank, we need an engineer to design and enforce safe AI usage-protecting customer data, preserving model integrity, and meeting our regulatory obligations. You'll be the architect of guardrails, tooling, and policies that make AI both secure and useful for product and internal teams. This isn't about slowing things down; it's about building the trust layer that lets innovation move fast without breaking things.
Who You Are:
You're a security engineer who's excited about the AI wave-someone who sees GenAI and LLMs as fascinating puzzles to secure, not just threats to mitigate. You've spent 5+ years in Security Engineering, AppSec, or Cloud Security, and at least 1-2 of those years have been spent getting your hands dirty with AI/ML or data -intensive systems. You're equally comfortable dissecting a prompt injection attack as you are writing a Terraform module or shipping a Python library. You know your way around AWS and/or Azure, modern app stacks ( Python /TypeScript, REST/gRPC, containers/Kubernetes), and can translate security requirements into Developer -friendly tooling-not just PDF policies that gather dust. You communicate clearly in English and Hebrew, thrive in regulated environments, and understand that security in financial services means mapping controls to frameworks like FFIEC, SOC 2, and PCI DSS-and actually having the evidence to prove it.
What Youll Actually Be Doing:

* Design enterprise AI guardrails across Azure and AWS (e.g., Azure AI Studio/Azure OpenAI, Amazon Bedrock/SageMaker): content filtering, PII redaction, prompt/response validation, and policy enforcement services.
* Implement data minimization controls for GenAI/RAG workloads: context filtering, leastprivileged retrieval, document-level ACL enforcement, vector store hardening, and secure token/secret handling.
* Threat model AI systems (apps, agents, RAG, fine-tuning pipelines) using frameworks like STRIDE and the OWASP Top 10 for LLM Apps; define misuse scenarios (prompt injection/jailbreaks/ data exfiltration) and build mitigations.
* Build monitoring and telemetry: privacy-preserving prompt/response logging, sensitive- data detection, safety/eval dashboards, drift/abuse signals, and incident hooks into our SIEM.
* Integrate AI security into the SDLC: reusable libraries, pre-commit checks, CI/CD gates, policy-as-code, and secure-by-default reference architectures for product teams.
* Evaluate thirdparty AI vendors and internal apps: security reviews, data residency and retention requirements, SSO/SCIM integrations, DPA/TPRM inputs, and continuous control testing.
* Partner across Security, data, Privacy, and Engineering to map AI controls to FFIEC, SOC 2, and PCI DSS; document control evidence for audits.
* Lead/participate in AI redteaming: automated jailbreak/promptinjection tests, safety benchmarks, purpleteam exercises, and response playbooks for AI incidents.
* Enable the org with concise guidelines, examples, and training on safe AI development and usage.

Why Youll Love Working Here:

* Flexible hybrid work model: three days a week at our Jerusalem office
* Monthly wellness reimbursement - from therapy to gel manicure, it's up to you
* Full Keren Hishtalmut, private health and dental insurance
* Volunteer days, donation matching, Yoga and Pilates
* A supportive, collaborative culture that puts our people first
Next Step:
Hit Apply!

we are looking for a talented and experienced r&d platform engineer to join our dynamic team. our organization provides cutting-edge services utilized by both internal cyberark services and external customers. the ideal candidate will be responsible for defining and implementing best practices that can be shared across the company and working on edge technologies on the cloud. this position encompasses all stages of the software development life cycle (sdlc), including design, development, testing, and ensuring high roi on deliverables.
define and implement best practices for the r&d platform.
collaborate with internal and external stakeholders to understand requirements and deliver high-quality solutions.
work on edge technologies and cloud platforms to enhance our services.
participate in all phases of the sdlc, including design, development, testing, and deployment.
ensure high roi on deliverables by optimizing processes and solutions.
share knowledge and best practices across the company to promote a culture of continuous improvement.

looking for a senior software engineer to join our elite team which is responsible for building one of new saas products.
in this role you will be using aws serverless architecture, aws cdk & Python to design, develop, TEST, secure & deploy services from planning to production. you will practice all software development life cycle in an agile oriented environment while exploring new technologies and tools to keep us using cutting edge solutions.
the team works in full collaboration with security architects, product managers and other development teams.
we are looking forward for energetic and versatile person to join our family and help us achieving our goals.

looking for an experienced staff software engineer for our new authentication service. you will be responsible for building this core saas service, built on-top of aws using.net, eks, terraform and other cloud technologies. you will be working with an elite team to produce top-notch services at the highest standards, meeting the high security, stability, and performance standards of the largest enterprises in the world. qualifications
solid experience leading the design, development and delivery of features in saas applications
design and implement the infrastructure of the service
bachelors degree in Computer Science or engineering related field/technology elite unit alumni with relevant experience
7+ years of experience with aws
7+ years of experience in.net core
desire to use new technologies and understand them depth-in
proactive by nature, internal drive for excellence and improvement
good communication skills, fluent in english, good writing skills
autodidact, like to learn new things and share with the team
excellent ability to meet deadlines, while consistently striving for high-quality and efficient solutions good knowledge in containers and container orchestration
experience with development in cloud/saas environment (aws serverless architecture/eks is a definite advantage)
solid understanding of security and high scale best practices
experience with modern ci/cd tools, in particular, github, jenkins, and artifactory
deep understanding of various authentication protocols

as our principal architect for identity governance and administration (iga), you will be the visionary lead for our identity lifecycle management, compliance, and access control strategies.
design the integration approach between palo alto services and iga and between the on-prem applications and the iga cloud service. join the iga team to strengthen the overall iga capabilities across palo alto and improve its scalability.