לוח משרות דרושים הייטק חומרה בתל אביב יפו, לחיפוש זה נמצאו 48 משרות

Required ML Hardware Achitect
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 most demanding AI/ML applications. Youll be part of a team that pushes boundaries, developing custom silicon solutions that power the future of our 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.
In this role, you will help shape the future of Clouds next-generation AI infrastructure, architecting high-performance Machine Learning silicon designed to power hyperscale AI inference. You will have an opportunity to drive accelerator technology that powers Generative AI models, large language models (LLMs), and emerging agentic workloads where throughput, latency, memory bandwidth, and energy efficiency are mission-critical.
You will be part of a silicon architecture team pushing the boundaries of custom computing. Leveraging your deep expertise in hardware-software co-design, machine learning algorithms, and computer architecture, you will define and optimize custom compute engines and memory hierarchies that accelerate the world's most advanced AI models across Cloud datacenters.
Responsibilities
Lead the architectural definition, modeling, and specification of next-generation, high-performance ML compute IP and acceleration blocks for Cloud AI silicon.
Own the ML IP architecture specification throughout the entire product lifecycle: concept exploration, cycle-accurate modeling, implementation, silicon bring-up, and production.
Partner closely with leading AI research and algorithm teams (e.g., Google DeepMind, Gemini research teams) and software compiler teams (XLA, PyTorch) to explore architectural trade-offs and define hardware requirements for emerging model architectures.
Drive comprehensive architecture studies, evaluating compute dataflows, numerical formats, sparsity, and specialized acceleration mechanisms such as key-value (KV) cache optimization.
Drive performance, latency, power efficiency, and silicon area projections across model topologies and workload configurations.

Required Edge-AI SOC Verification Lead, 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.
In this role, you will work to shape the future of an edge-AI product, bringing high-performance intelligence to the edge. You will have an opportunity to drive distributed inference technology that powers real-time systems where latency and reliability are mission-critical.
You will be part of a team that pushes boundaries, developing autonomous solutions that define the next generation of intelligent infrastructure and hardware for the edge. You will contribute to the innovation behind products that transform industries, leveraging your expertise in system-level integration and localized processing to deploy complex AI models across sophisticated hardware platforms, ensuring intelligence is embedded exactly where the action happens.
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
Lead the verification of an edge AI IP, to be used in edge-AI products.
Lead a team of chip verification engineers. Plan tasks, allocate people, hold verification design/code reviews, and drive verification execution.
Plan the verification of digital design blocks, including writing test plans, and other verification documents.
Code development of verification features and capabilities, and participate in RTL debug.
Work closely with architecture, software, design, and physical design stakeholders to make technical decisions and represent project status throughout the development process.

Required Signal/Power Integrity Engineer, PhD Graduate
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.
Responsibilities:
Simulate high speed interface electrical behavior using HSPICE or other circuit simulators.
Generate precise electrical models (e.g., S-parameters, SPICE models) for components such as packages, PCBs, and connectors for use in simulations.
Collaborate extensively with cross-functional teams, including ASIC architects, digital/analog designers, physical design/layout engineers, and system engineers, to define specifications and resolve integration challenges.
Execute lab measurements utilizing test equipment like oscilloscopes, Vector Network Analyzers (VNA), Time Domain Reflectometers (TDR) , Spectrum analyzers to validate simulation outcomes and debug signal and power-related issues on silicon prototypes and boards.
Establish robust design rules and guidelines for optimal signal/power integrity during PCB and package layout, ensuring high production yield and reliability.

At our company, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. Youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
Were proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets our company apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If youre excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
Key Responsibilities
We are seeking a talented and driven Hardware Project Manager to join our innovative team. In this key role, you will lead the development of groundbreaking hardware projects, guiding them from concept to mass production while navigating the dynamic landscape of technology and cybersecurity.
At our company, we value creativity and collaboration, and we are committed to fostering an environment where your ideas can thrive. As part of a global leader in cybersecurity, you will play a vital role in shaping the future of our products and services.
Join us in our mission to secure the future!
Lead developing new hardware projects, ensuring timely progression from concept to mass production.
Manage strategic relationships with customers, ensuring their needs are met throughout the project lifecycle.
Define project requirements and specifications (Design/SRS) for new initiatives.
Coordinate prototype hardware builds (EVT, DVT, PVT) in collaboration with our contract manufacturer.
Manage software release processes, drawing on proven experience in software project management.
Develop and maintain project schedules, identifying critical paths and addressing bottlenecks to ensure smooth execution.
Collaborate on engineering deliverables, including specifications, test plans, reliability testing, and engineering validation.
Conduct audits and manage quality control for production carried out by ODMs.
Communicate the impact of scope changes to all stakeholders, including customers, regarding cost, timing, and quality implications.
Provide regular updates on program statuses, highlighting potential risks and setbacks, and developing mitigation strategies.
Offer basic debugging support for hardware issues.
Collaborate with customers and partners to address field issues and technical inquiries.

Join our amazing Cloudinfra R&D group that is responsible for our companys Infinity Portal!
We are looking for a strong, motivated and highly technical Backend Engineer.
The Backend Engineer will:
Join a team of highly skilled and talented engineers, building server-side infrastructures in NodeJS as part of our companys Infinity Portal.
Collaborate with other teams in our group, QA engineers, cross-organization functions, and customers.
Innovations and enhancements are welcome, and are an integral part of our work and the teams success.
If youre eager to make a wide impact in the field of security and infrastructure, if youre passionate about development and latest industry technologies and if youre a real leader - this opportunity is for you!
Key Responsibilities
As the Cloudinfra Back-End Engineer you will:
Design and build new solutions/features to help our customers improve their cloud security.
Get an experience with new technologies and languages, develop challenging solutions, and have a great opportunity to grow and create impact.
Constantly Improve existing implementations.
Adapt and take on more responsibilities and own your share of the product.
Work with product managers, business, and other teams at our company.

Zipher is building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding , we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time — with zero human intervention . Our platform runs in production at global enterprise customers, including Fortune 500 companies , delivering mission-critical resilience and sub-second optimization We are looking for a Senior Backend Engineer with 7+ years of development experience at leading startups to build the systems behind Zipher’s autonomous execution engine. You will own core infrastructure that turns high-volume telemetry and changing cloud conditions into reliable, real-time decisions across production data and AI workloads.
What You’ll Do
* Architect and scale the core backend services that power real-time workload orchestration, optimization, and self-healing
* Build resilient, high-throughput systems for processing distributed state, event streams, and production telemetry at scale
* Design infrastructure that makes autonomous decisions observable, explainable, and safe for enterprise engineering teams
* Partner closely with data, ML, and platform engineers to bring optimization models and control loops into reliable production systems
* Drive architectural decisions, raise the engineering bar, and own services from design through deployment, observability, and incident response
What We Offer
* A chance to build the core execution engine for a new category of autonomous data platform High ownership from day one : real architectural influence, direct exposure to founders, and responsibility for mission-critical systems
* Technical, high-velocity team that values curiosity, speed, and engineering craftsmanship Top-of-market compensation and meaningful equity Ready to build the infrastructure that lets data and AI workloads run autonomously? Hit Apply.

As a Digital Backend Design Engineer, you will be responsible for the physical implementation of digital designs from RTL to GDSII, leveraging cutting-edge EDA tools and methodologies. You will collaborate closely with RTL design, DFT, and packaging teams to achieve optimal performance, power, and area (PPA), while meeting stringent timing and yield targets.

Required Skills and Experience
Masters or PhD degree in Electrical/Electronic Engineering or a related field.

4+ years experience in digital IC backend implementation.

Proficiency with backend EDA tools, particularly Cadence Innovus and Genus.

Strong understanding of place & route (P&R), static timing analysis (STA), DRC/LVS verification, IR drop, and electromigration (EM) analysis.

Experience with advanced technology nodes (22nm or below preferred).

Skilled in Tcl scripting for automation of backend flows.

Experience in hierarchical or full-chip implementation is preferred.

Language: English at a proficient level. French is a plus.

As a Backend AI Engineer, you will be responsible for architecting and building the production systems that bring LLMs to life at scale. You will Implement robust infrastructure and high-scale services, ensuring our AI capabilities are integrated into scalable, resilient, and performant backend architectures.
In this role, you will:
Design and implement high-performance backend services and APIs that power our companys core AI products.
Bridge the gap between AI research and production-grade software, focusing on latency, reliability, and observability.
Promote engineering standards through rigorous code reviews, architectural design, and best practices in distributed systems.
Design and implement LLM evaluation frameworks to assess and integrate new AI models into real-world production flows.
Deeply understand product challenges to make intelligent and efficient software-building decisions.

As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We are looking for someone who is not only strong technically, but also enjoys joining a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Key Responsibilities
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.

Our engineering team is at the core of how modern data security is built. We are redefining how organizations understand and protect their most sensitive data in a world of growing scale, speed, and complexity. By combining high-performance systems with intelligent, AI-driven capabilities, we challenge traditional approaches and push the boundaries of what data classification can achieve.
Were looking for engineers who thrive in open-ended environments, are energized by hard problems, and are motivated to build solutions that dont yet exist. This role is about more than writing code. Its about shaping how intelligent systems detect, interpret, and protect data across cloud and endpoint environments.
In this role, you will play a central part in designing and building a core classification engine that powers multiple security solutions across the platform. Your work will directly influence how different products identify risk, enforce protection, and operate at scale. Youll work at the intersection of large-scale systems and applied AI, turning raw signals into accurate, reliable insights that help customers secure their data with confidence.
Key Responsibilities
Build and scale AI-driven data classification and detection capabilities for next-generation data security products.
Design systems that identify, classify, and protect sensitive data in real time across cloud and endpoint environments.
Lead technical design discussions and influence architecture for large-scale data processing systems.
Partner with product, infrastructure, and other engineering teams to deliver tightly integrated solutions.
Solve complex engineering challenges related to scale, performance, reliability, and operations.
Raise the technical and collaborative bar by mentoring, sharing knowledge, and improving team practices.
Proactively suggest ideas, lead initiatives, and drive continuous improvement across the product and engineering processes.

Palo Alto Networks is seeking a Senior or Principal Backend Engineer (we are open to hire both levels) for our Cortex engineering group, focusing on Cortex XSOAR, Cortex XSIAM, and new Cortex AI solutions. In this role, you will design and implement robust backend services for our leading-edge security orchestration, automation, and response platform. You will also contribute to creating innovative AI-based solutions, enhancing shared Cortex infrastructures. This is an exceptional opportunity for those eager to advance Cortex products with AI-driven capabilities and make a significant impact in the cybersecurity industry.
Your Impact:
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Proactively collaborate and exchange information with peers across different teams and disciplines to shape solutions and ensure alignment on product integrations.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Apply a production-oriented approach, providing real-time mitigation and effective solutions to production issues to ensure platform stability and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.

ShiftLeft is building the cloud security platform for developers (AppSec). Our platform empowers teams to find, fix, and prevent security risks in application code and infrastructure as code through automation and security-as-code principles. We're looking for a skilled Senior Backend Engineer to join our team and contribute to our Cortex Cloud platform.
As a Senior Backend Engineer, you'll have a high-impact role in shaping the future of our code security products. Beyond building robust and scalable backend features, you'll help drive performance, reliability, and innovation across our systems. Our group owns and leads the departments data pipelines, databases, and enrichment and persistence flows. If you're excited by technical challenges, meaningful ownership, and making life easier for developers - this is the place for you.

Palo Alto Networks is seeking a visionary Sr. Principal Backend Engineer to shape the future of our Cortex platforms. In this highly impactful role, you will act as a technical pioneer and an architectural challenger for our leading-edge security orchestration, automation, and response platform.
Bringing an entrepreneurial mindset and a deep understanding of the competitive business landscape, you will critically evaluate our core systems, champion system quality, and drive rapid prototyping (POCs) for innovative AI-based solutions. This is an exceptional opportunity for a seasoned technologist-perhaps a former founder-who wants to keep their hands in the code while shaping our strategic direction and pushing the boundaries of AI-driven cybersecurity.
Your Impact:
Challenge the Architecture: Bring a fresh, external perspective to critically evaluate our core systems and drive uncompromising standards for quality and resilience.
Prototype & Innovate (POCs): Keep your hands in the code by rapidly prototyping GenAI integrations and evaluating new models before they are scaled by the broader team.
Think Like a Founder: Deeply understand our business, competitive landscape, and market trends to ensure technical decisions drive real business value.
Industry Presence: Stay ahead of the curve by actively engaging with the broader tech community, tracking trends, and attending industry conferences.
Lead & Elevate: Guide cross-functional teams, lead high-level design reviews, and elevate our engineering culture through technical mentorship.

Cortex products use cutting-edge technologies to deliver and innovate fast, with attention to quality and details. The great majority of the Cortex engineering group is located in the TLV office, which allows us to operate at a high pace with short loops of decision-making.
We are looking for a passionate and skilled software engineer to join our Cortex XSOAR Content R&D group. You will develop new solutions that will transform the future of security orchestration and automation around the globe, specializing in Python programming.
You will be responsible for the design, implementation, delivery, and quality of our services in an Agile environment.
Furthermore, you will be collaborating with global tech, product, and security research teams, interfacing with other groups around the globe, and joining a rapidly growing Cybersecurity community.
Your Impact
Taking a leading role in the design and implementation of the content layer of the market leader SOAR platform.
Setting high-quality standards, seeking and choosing technical solutions to meet current and future needs.
Providing technical leadership and guidance, including design and code reviews.
Being accountable for product delivery, quality, and timelines.

We are looking for a Senior Principal Backend Engineer to join our Cortex team and help us to prevent, detect and respond to all runs on an integrated endpoint, network and cloud data - reduce the noise and focus on real threats.
More information about the Cortex XDR product can be found here.(opens in new window)(opens in new window)
Your Impact
You will be a part of a group with the mentality and independence of a startup, supported by the power of a successful corporation - You will design and build an infrastructure that supports billions of events per second, storing, processing and making them accessible and visible to the user while collaborating with the industrys leading cyber products
You will be responsible for the complete software development life cycle including requirement analysis, design, development, deployment, and support - You will write clean, testable, readable, fast and maintainable code that is efficient and scalable
Drive the inception, strategy and execution of our autonomous investigation and response solution (Autonomous SOC).