לוח משרות דרושים

We are seeking a talented Program Manager to join our team. In this high-visibility, hands-on role, you will drive forward the development of our chip by managing the complete program lifecycle, from architecture to successful tapeout, ensuring deliverables meet scope, schedule, and quality requirements.

Responsibilities
Lead the planning, development and implementation process of cross-functional teams focused on product delivery.
Drive the execution of the hardware roadmap by managing the complete lifecycle from architecture definition to tapeout.
Partnering tightly with Architecture, RTL Design, and Design Verification (DV) leads to identify bottlenecks, track coverage metrics, and mitigate risks before they impact the tapeout schedule.
Define the core operational processes and modes of work for the entire HW group, building and refining the stage-gate reviews required to transition smoothly from architecture into implementation and verification.
Oversee project monitoring, reporting, and risk management, from initiation to delivery, addressing intergroup dependencies to ensure timely and successful completion.
Lead process and methodology improvements, proactively addressing issues to achieve business goals.

Required Power and Signal Integrity Engineer
About the job
As a Power and Signal Integrity Engineer, you will be responsible for the design and characterization of signal and power integrity of our IC designs. You will design the external electrical interfaces of the device, from their Signal/Power-integrity and electrical usage perspectives.
You'll set up methodologies, perform simulations, silicon characterization and correlations to ensure our IC designs meet systems design budgets and achieve the highest performance. You will work with systems architects, ASIC design, systems engineers, and partner cross-functionally with teams and external vendors/partners.
Responsibilities
Design and optimize power distribution networks (PDN) across chip, package, and board levels. This includes managing power/ground planes, decoupling capacitors, and power gating strategies.
Conduct both pre-layout and post-layout power integrity simulations to analyze power and ground noise (SSN/SSO), voltage drops (IR drop), and electromagnetic interference (EMI).
Implement and verify low-power design methodologies, such as multi-voltage designs and clock gating, using power intent formats like UPF/CPF.
Generate precise electrical models (e.g., S-parameters, SPICE models) for components such as packages, PCBs, and connectors for use in simulations.
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.

We are looking for an experienced Senior Fuse Configuration Manager for the IC Product Engineering organization, responsible for fuse configuration management across all our Networking products. You will drive execution and scheduling of all fuse-related configuration aspects across our Networking teams while aligning with corporate priorities, constraints, and methodologies.
We are a leading supplier of innovative end-to-end InfiniBand and Ethernet connectivity solutions and services for servers and storage. We offer best-in-class solutions that include adapter cards, switches, cables, and software to support networking technologies. Our products optimize data center performance and deliver industry-leading bandwidth and scalability. We serve a wide range of sectors including high-performance computing, enterprise, data centers, cloud computing, big data and Web 2.0. Our product line focuses on delivering the most optimized Ethernet solutions for industries like Media and Entertainment as well as any other industry that can benefit from our Datastream and TCP/IP acceleration.
What you'll be doing
Coordinate between all project collaborators such as Chip Design, Q&R, Architecture, ICPE, and others from initial fuse definition stage through product end-of-life, including release to mass production.
Own and manage all fuse CCB (Change Control Board) activities.
Collaborate closely with domain owners and stakeholders across various teams to gather and validate inputs required for product fuse configuration, ensuring alignment with overall project and product strategies.
Manage and coordinate configuration files and parameters for multiple products, maintaining accuracy, traceability, and consistency throughout the product lifecycle.
Contribute hands-on to product execution activities by actively working on configuration management, including updates, troubleshooting, and validation of fuse-related configuration settings.
Support the integration of product fuse configurations into the overall product development, test, and manufacturing processes, ensuring smooth deployment and operational readiness across multiple product lines.

we're seeking a talented Senior Emulation Engineer to help build our local engineering powerhouse from the ground up. This is an exciting opportunity to take on meaningful ownership in a new site, implementing the emulation strategy for chips that power the world's largest AI clusters.

As an Senior Emulation Engineer, you will be a core technical driver of our Israel R&D center, working at the intersection of hardware and software to ensure our silicon meets extreme quality and performance targets. You will execute end-to-end emulation flows, bridge the gap between RTL and functional validation, and partner with cross-functional teams to enable seamless hardware-software integration. If you thrive on solving complex technical challenges and want to play a key role in validating cutting-edge AI infrastructure connectivity solutions, this is your opportunity.

Key Responsibilities

Emulation Flow Execution & Implementation

Execute end-to-end emulation flow from high-level model generation and RTL synthesis to complex system-level testing and silicon-accurate debugging
Work directly with next-generation emulation platforms (Zebu, Palladium, or Veloce) to implement cutting-edge methodologies
Maintain and evolve emulation flows to reduce compile times and increase execution speed, directly impacting time-to-market
System-Level Debug & Validation

Drive initial model bring-up process in high-stakes environment, identifying and resolving complex bugs
Ensure rapid cycles from RTL to functional stability through systematic debug approaches
Own technical blocks and drive them to completion independently
Cross-Functional Collaboration

Partner with Firmware, Software, and Validation teams to debug complex system-level scenarios
Ensure seamless hardware-software integration for AI infrastructure connectivity
Collaborate with Design and Verification teams to optimize emulation strategies

we're seeking a highly skilled Physical Design CAD Engineer specializing in CAD Automation and Signoff to join our local engineering powerhouse from the ground up.

This is a unique opportunity to take on meaningful technical ownership in a new site, implementing the backend execution environment and methodologies for chips that power the world's largest AI clusters. As a foundational member of the team, you will be responsible for the physical implementation environment. Your primary mission is to develop, optimize, and support automated flows from RTL to manufacturable GDSII tape-out, ensuring a methodical and efficient work environment for the entire PD team.


Key Responsibilities


Develop and maintain automated flows for Synthesis, Place & Route (P&R), and Floor-planning to ensure seamless design transitions
Implement and manage robust environments for Static Timing Analysis (STA), Power Analysis, and Physical Verification (DRC/LVS/ERC)
Write and maintain custom plug-ins and scripts (Tcl/Python) to extend vendor tool capabilities, tailoring them to specific process node constraints
Build automated "dashboards" and feedback loops to track and improve Power, Performance, and Area (PPA) metrics across design iterations
Own the design database structure and version control to ensure team alignment and data integrity
Collaborate directly with EDA vendors (Synopsys, Cadence, Siemens/Mentor) to troubleshoot flow issues and analyze tool results
Provide technical support to the broader PD team, helping them optimize individual blocks for power, performance, and timing

We are seeking an experienced and highly skilled Software Engineer to join our Runtime Software group. In this role, you will drive the development of the full software stack and architecture behind our revolutionary coprocessor. You will be challenged to deliver high-performance, system-wide solutions, requiring a deep understanding of complex architectural trade-offs and distributed systems.

As a core team member, you will design and implement infrastructure that enables our unique hardware to accelerate diverse applications at scale. You will collaborate across disciplines - working with hardware engineers, compiler developers, and system architects - to optimize execution in a massive, multi-process, and multi-threaded environment.

Responsibilities
Design and implement next-generation runtime architectures and infrastructures to support evolving product requirements.
Develop environments for the acceleration of massively parallel applications, managing complex process and thread lifecycles.
Define development scopes and roadmaps to ensure the successful delivery of robust software features.
Partner with hardware and compiler teams to bridge the gap between silicon capabilities and software performance.

We arelooking for an Embedded Software Engineer for performance verification and profiling.
You will join the Virtual Platforms and Performance Verification team in the EyeQ Platform Group (EPG), working on current and next-generation ADAS/AV systems.
Virtual platforms, performance models, and profiling tools are core components of the EPG infrastructure. These tools are used during the pre-silicon phase for hardware architecture optimization and software development, and in the post-silicon phase for software performance optimization.
What will your job look like:
Performance verification of EyeQ SoC designs
Development of hardware virtual platforms
Running hardware benchmarks and correlating virtual platform results with silicon measurements
Development of tracing and profiling tools for CPU performance analysis and optimization
Close collaboration with hardware architects and software, OS, and algorithm teams.

Our culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.
You will be an essential part of this mission, using your technical expertise to demonstrate how our Data and Intelligence Platform can help customers solve their complex data challenges.
You'll work with a collaborative, customer-focused team that values innovation and creativity. You'll use your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.
Join us in our quest to change how people work with data and make a better world!
The impact you will have:
Form successful relationships with clients throughout your assigned territory, providing technical and business value to our customers in collaboration with Account Executives.
Operate as an expert in big data analytics to excite customers about our company. You will develop into a champion and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the company Data Intelligence Platform.
Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the company community in your region by leading workshops, seminars, and meet-ups.
Grow your knowledge and expertise to the level of a technical and/or industry specialist.

We are looking for an experienced Senior Software Engineer to drive the development of our high-performance client applications and the FlexID product ecosystem. This role is unique: while you will maintain and evolve our deep Windows C++ integrations, you will also take ownership of the broader FlexID server and web components that power our product across diverse environments.
Our solution is deployed both On-Premises and as a Cloud-Hosted managed service. This requires an engineer who can solve complex problems at the OS level while ensuring the entire product suite remains robust and scalable within virtualized and hosted infrastructures.
What Youll Do:
Develop and optimize Windows-based client applications using modern C++.
Work closely with Windows OS components, including Windows Registry, COM API, Windows Events, and system services.
Design and implement security-related features, integrating cryptographic protocols and authentication mechanisms.
Debug, profile, and optimize performance to ensure reliability and efficiency.
Collaborate with backend teams, security experts, and product managers to deliver secure, scalable solutions.
Stay ahead of industry trends in security, Windows development, and authentication technologies.
Cross-Stack Development: Maintain and optimize high-performance Windows client applications in modern C++ while contributing to the broader FlexID web and server ecosystem.
System-to-Cloud Integration: Build and support features that bridge legacy Windows components (Registry, COM API, Services) with modern, platform-agnostic cloud services.
Hybrid Deployment: Architect solutions that satisfy the unique constraints of both on-premises enterprise installs and scalable Cloud environments.
Security & Identity: Design and implement cryptographic protocols and authentication mechanisms (e.g., RSA, SHA, Certificates, OIDC) across the entire product suite.
Full-Lifecycle Ownership: Collaborate with backend and security teams to deliver end-to-end features, from low-level system hooks to high-level user interfaces.

We are looking for a Cloud Platform Engineer to join a team of passionate engineers who build premium solutions at scale.
Every day, we tackle ambiguous and stimulating challenges.
Join a team of passionate people who build quality and responsible advertising, at scale!
Our Infrastructure Team
Running on major cloud providers (namely AWS, Azure, and GCP) as well as on-premise data centers, we are a growing team intentionally composed of diverse skills sets (development obviously, but also data store, software reliability, operational automation, etc.) which aims at delivering a first-class platform for our product development teams. We embrace Reliability Engineering, toil is our enemy while automation at scale is our main ally.
What will you do?
As part of the Cloud Foundation team, youll be architect of our core infrastructure, with a primary focus on global networking and automated provisioning.
Youll bridge the gap between our public clouds (AWS, Azure) and on-premise data centers by building the high-performance connectivity and Infrastructure as Code pipelines that tie them together. Your work will ensure that our network is not only secure and resilient but also invisible to the feature teams who rely on your automated workflows to spin up environments at scale. Youll thrive on solving complex routing challenges and streamlining the lifecycle of our resources, always striving for maximum efficiency and speed. Through constant collaboration and knowledge sharing, youll help us evolve a rock-solid foundation that scales as fast as our ambitions.

Alice is building its internal AI infrastructure layer from the ground up. We have real agents running in production, a growing base of employees using AI in their daily work, and a clear architectural direction. What we don't have yet is a dedicated engineer to own it. You'll be the first. Your job is to close the gap between "working prototype" and "production platform" - owning the foundation that hosts our agents, the pipelines that ship them, and the reliability layer (observability, cost controls, audit trails, evals) that makes it safe to run AI at scale in a trust & safety company. This is an infrastructure-first role with deep AI fluency - not a prompt engineer, not a wrapper-framework operator, not a no-code builder. You should be equally comfortable writing a Terraform module, debugging a Kubernetes pod, and tracing an agent's tool-call chain. We don’t operate with a predefined backlog here; you will be responsible for identifying high-impact needs and bringing them to life. The perfect fit for this role has a track record of deploying agentic systems that have held up under real-world usage, balances a focus on infrastructure with a deep concern for user experience, and recognizes that the primary hurdle in AI integration is rarely the model itself. Responsibilities: Platform & Infrastructure
* Architect, build, and run the AWS/Kubernetes platform that hosts Alice's internal AI agents and tools; drive AWS Well-Architected pillars (operational excellence, security, reliability, performance, cost, sustainability).
* Own Infrastructure-as-Code: Terraform modules, standards, and reviews for Bedrock, agent runtimes, vector DBs, and supporting services. AI Systems
* Design and ship production-grade agents and multi-agent pipelines using the Anthropic Agent SDK, Claude Code, AWS Bedrock, and MCP — not wrapper frameworks.
* Own the full agent lifecycle: scoping ? prototyping ? eval ? deploy ? monitor ? iterate.
* Integrate agentic workflows into internal and product systems via APIs, databases, webhooks, Slack, and email. Reliability, Observability, Cost
* Build first-class observability across apps and infra: OpenTelemetry, Prometheus, plus LLM-specific tracing (Langfuse or equivalent), token/cost metrics, and eval pipelines.
* Define SLOs/SLIs and error budgets for AI services - latency, model fallback chains, eval regression gates, agent success rates. Lead incident readiness, response, and post-mortems.
* Drive FinOps: model routing by cost, cache hit rates, batch vs. realtime tradeoffs, budget alarms, per-team chargeback visibility.
* Implement guardrails: prompt-injection defenses, PII redaction, model allowlists, human-in-the-loop checkpoints, audit trails. Org Impact
* Identify high-leverage workflows across the organization and translate them into scalable agentic automations.
* Partner with R&D, Delivery, security, and external vendors to deliver platform capabilities.

About Alice:
Alice is a trust, safety, and security company built for the AI era. We safeguard the communicative technologies people use to create, collaborate, and interact—whether with each other or with machines. In a world where AI has fundamentally changed the nature of risk, Alice provides end-to-end coverage across the entire AI lifecycle. We support frontier model labs, enterprises, and UGC platforms with a comprehensive suite of solutions: from model hardening evaluations and pre-deployment red-teaming to runtime guardrails and ongoing drift detection.

Hybrid:
Yes

As a Senior Developer, youll join our Product Team and play a key role in architecting and developing AI-driven building operating system. Youll work with the team to plan, shape, and build platform components, AI workflows, and new product features. You should feel comfortable collaborating in a product squad and be excited about the new era of AI-native SDLC, using coding agents to move the needle independently while keeping productivity and simplicity in mind.

About you

An ideal candidate is humble and open-minded, while staying skeptical and willing to challenge assumptions. You have strong full-stack engineering skills and experience reasoning about complex systems, evolving architecture, and the importance of collaboration, communication, and product sense. You excel at working independently and as part of a team, and you feel comfortable asking for help when you get stuck.

Responsibilities

Plan, design, and ship agentic workflows that automate operational processes with human oversight built in.
Work cross-functionally with product, design, operations, and business teams to deliver AI features that solve real problems.
Own feature development end-to-end: from ideation and discovery, through spec writing, development, testing, launch, and iteration.
Push the limits of coding agents to increase developer velocity and democratize development for non-coders.

An AI startup is looking for a Software Engineer / Architect for a senior role focused on leading backend architecture and designing complex systems at a critical pre-launch stage.

This position includes broad ownership over infrastructure, scalability, and implementing an AI-first engineering mindset across the product and organization.



Responsibilities:

Lead backend architecture and system design
Design services, APIs, and data flows for an AI product
Build scalable, reliable, production-ready systems
Lead AI-first development best practices
Work closely with the founders on the technical roadmap
Improve engineering processes, performance, and system design
Own product infrastructure in preparation for significant scale

Were looking for a hands-on Full Stack Team Lead for our AI-Powered Content & Monetization Platform - someone with an AI first mindset who enjoys building both scalable backend systems and high-quality user facing experiences across the full stack, while leveraging modern GenAI tools to accelerate development and improve engineering workflows.

Youll lead by doing - building, prototyping, prompt-engineering, and guiding the team in adopting agentic development practices while maintaining architectural clarity across our Streaming & Engagement Platforms.

As part of your role, you will:

Lead a full-stack engineering team (Web, Mobile, Streaming & Engagement Platforms), owning execution and delivery end-to-end.
Stay deeply hands-on - architecting, coding, reviewing, and building production-ready features.
Drive agentic development practices across the full SDLC.
Build rapid functional prototypes - turning product ideas or Figma designs into working cross-platform solutions.
Integrate LLMs into development workflows - including test generation, documentation, CI/CD automation, and internal tooling.
Architect scalable solutions across Web, Mobile (React Native / Flutter), and Streaming & Engagement environments (Smart TVs / CTV).
Ensure high-quality user experiences while maintaining scalable, reliable backend systems across consumer-facing platforms.
Work closely with Product and Design to streamline design-to-code cycles using modern tooling.
Mentor engineers on modern full-stack architecture and AI-assisted development workflows.
Balance speed with technical depth - enabling fast iteration without sacrificing scalability.

We are seeking an experienced Senior Delivery Consultant - Modernization with deep expertise in Artificial Intelligence to join AWS Professional Services (ProServe). This role combines strategic architectural vision with hands-on technical leadership to deliver innovative AI solutions that drive customer success and business transformation across diverse industries and use cases.

Key job responsibilities
* Architecture & Design: Design and architect end-to-end AI-powered application solutions aligned with customer business objectives and technical requirements.
* Define application architecture patterns, standards, and best practices for AI/ML integration on our company.
* Create technical roadmaps for customer AI application development and modernization initiatives.
* Evaluate and recommend our AI/ML services and technologies including Amazon Bedrock, SageMaker, and generative AI solutions.
* Design data pipelines and ETL processes to support AI model training and inference using our services.
* Customer Engagement & Consulting:
Lead customer engagements from discovery through implementation, serving as trusted technical advisor.
* Conduct AI readiness assessments and develop adoption strategies tailored to customer maturity levels.
* Facilitate architecture workshops and design sessions with customer stakeholders.
* Deliver Well-Architected reviews focused on AI/ML workloads.
* Build strong relationships with customer technical teams and executive leadership.
* Guide customers in constructing AI processes aligned with AWS best practices.
* Technical Leadership: Lead cross-functional teams in implementing AI solutions from concept to production.
* Provide technical guidance on AI model integration, deployment strategies, and optimization on our company.
* Conduct architecture reviews ensuring solutions meet scalability, performance, security, and cost-efficiency requirements.
* Mentor customer teams and junior ProServe consultants on AI best practices and AWS technologies.
* Collaborate with data scientists, ML engineers, and software developers to translate AI models into production applications.
* AI Solution Development: Design architectures for generative AI applications including RAG (Retrieval-Augmented Generation) systems, chatbots, and intelligent agents using our Bedrock.
* Architect real-time and batch AI inference pipelines with appropriate monitoring and observability.
* Implement MLOps practices using SageMaker for model versioning, deployment automation, and continuous improvement.
* Design solutions for responsible AI including bias detection, explainability, and governance frameworks.
* Optimize AI application performance, cost, and resource utilization across AWS services.
Knowledge Sharing & Thought Leadership:
* Develop reusable assets, reference architectures, and best practice documentation.
* Contribute to AWS ProServe knowledge base and customer-facing content.
* Present at customer events, workshops, and industry conferences.
* Stay current with emerging AI technologies and AWS service innovations.
* Share learnings across the ProServe organization.