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We are looking for a Sustaining Lead Engineer to join the team responsible for maintaining and improving the manufacturing health of our cloud server platforms at scale.

As a Sustaining Lead Engineer, you will own the ongoing producibility, yield, and quality of our Graviton server products across high-volume manufacturing sites - driving root-cause analysis, process improvements, and supply continuity for products already in mass production. This is a multidisciplinary role spanning hardware, firmware, test, and manufacturing process domains.

Key job responsibilities
- Support new product introduction (NPI) to volume transition by defining production-readiness criteria and validating manufacturing processes at scale.
- Own manufacturing yield, quality, and reliability metrics for Graviton server platforms in volume production; drive systematic root-cause analysis and corrective actions for field and factory issues.
- Partner with Contract Manufacturers (CMs) to monitor process health, resolve production escapes, and implement continuous improvement initiatives across multiple high-volume lines.
- Lead debug and failure analysis of field returns and fleet-level reliability events - identify systemic failure modes, develop containment actions, and drive permanent fixes back into design and manufacturing processes.
- Partner with supply chain to review, identify, and qualify second-source electrical components to mitigate supply-chain risk and ensure continuity of supply without disrupting production.
- Develop and maintain sustaining test strategies - including failure analysis workflows, screening methods, and data-driven disposition criteria - to protect outgoing quality.
- Analyze manufacturing and field data at scale to identify trends, repeat-offender units, and systemic failure modes; translate findings into actionable design or process changes.
- Willing to travel 4-6 times annually for week-long trips to manufacturer sites.

Key Responsibilities
Design, develop and maintain real-time threat detection services that operate at global scale
Build distributed systems using a mix of relational and non-relational databases to handle high-velocity threat intelligence
Apply cloud deployment best practices to ensure high availability and performance under extreme load
Collaborate in an agile environment where your technical decisions directly impact customer security.

We are looking for talented people to join the team and help us technically lead the challenges of the next decade.
In this job you will be exposed and learn wide range of expertise such as: C++ programing, hardware design, data mining, Verilog simulations, working with various high end test equipment and more
If paving new roads on edge of technology within a strong and vibrant team is what you seek, your place is with us.

We are looking for a brilliant and highly motivated Full Stack Engineer who is passionate about technology and eager to make an impact. In this role, you will work on our web applications, contributing to both backend services and frontend applications to ensure seamless performance and scalability. You will be responsible for designing and implementing new APIs, optimizing existing systems, and building high-quality, maintainable solutions that enhance the overall user experience.
What will your day to day look like:
Full-Stack Development: Build and deploy frontend and backend code that supports growth initiatives, ensuring scalability and performance.
Rapid Prototyping: Quickly turn ideas into MVPs for testing and validation, using an agile and iterative approach.
Data-Driven Decision Making: Work closely with analytics tools to gather insights, track KPIs, and make informed decisions that fuel growth.
Collaborate with Cross-Functional Teams: Partner with marketing, product, design, and data teams to identify opportunities and run experiments.
Contribute to the Growth Strategy: Bring your technical expertise and creativity to brainstorm and prioritize growth opportunities that align with business goals.

As a Senior Software Engineer specializing in Python and the Data Ecosystem, you'll be a core contributor owning and evolving critical parts of ClickHouse's data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience. You'll craft tools that enable Data Engineers and Data Scientists to harness ClickHouse's speed and scale in the frameworks they already use.

We're looking for someone who has lived the Data Engineer or Data Scientist experience firsthand. The data practitioner's world is shifting rapidly: databases are no longer just query targets, but they're becoming active participants in AI-powered workflows, serving as vector stores for RAG pipelines, backends for LLM-powered agents, and real-time feature stores for ML inference. You understand these workflows not from the outside, but because you've operated within them. You don't just build integrations, you bring product-level insight into what we should build and why.

You'll own the full lifecycle of key Python integrations, driving architecture, performance, and feature direction across:
Orchestration Platforms: Apache Airflow, Dagster, Prefect
Transformation Tools: dbt, SQLMesh.
AI & LLM Ecosystem: LangChain, LlamaIndex, n8n, and broader AI tooling: embedding pipelines, retrieval-augmented generation with us as a vector store, ML feature stores, and LLM-powered data applications.
our columnar architecture and query performance make it exceptionally well-positioned in this new landscape. Your job is to make that potential real: building the robust, production-ready connectors that make us the natural choice when data practitioners design their next-generation AI and data systems.

What you'll do
Own and evolve our Python connector and SDK ecosystem, raising the bar on performance, reliability, and API design
Build and maintain integrations with orchestration platforms (Airflow, Dagster, Prefect) and transformation tools (dbt) to enterprise-grade quality standards
Drive the AI/LLM integration strategy: designing connectors and patterns that make us a natural fit in RAG architectures, ML feature pipelines, and LLM-powered data applications
Engage actively with the open-source community: triage issues, support contributors, advocate for users, and shape the roadmap based on real-world feedback
Collaborate with Product, Cloud, and other engineering teams to align integration work with broader platform priorities
Bring a practitioner's perspective to roadmap decisions, grounding prioritization in genuine Data Engineer and Data Scientist workflows

Were hiring a DevOps Engineer to join our growing DevOps team. You'll be working hands-on with modern AWS-native technologies, helping us scale secure and observable cloud environments, while partnering closely with developers to build and ship reliably.
Responsibilities
Manage scalable, production-grade AWS infrastructure with Terraform
Maintain Kubernetes clusters, including deployments, autoscaling, and ingress
Handle cross-service communication using Kafka, SQS, or PubSub
Set up observability and alerting using Grafana, Prometheus, and log aggregation tools
Maintain CDN for traffic protection, rate limiting, and caching
Manage and improve CI/CD workflows using GitHub Actions and ArgoCD
Collaborate directly with developers on environment setup, debug sessions, and deployments
Implement IaC and GitOps patterns across services and teams
Participate in production operations, incident response, and on-call rotations

At our company, the Innovation team is all about pushing the limits of AI to transform content creation. We work on everything from enhancing audio and video quality to automating production with machine learning, NLP, and computer vision. Whether its real-time rendering, intelligent editing, or new ways to process media, we turn cutting-edge research into practical tools that creators rely on. If youre excited about shaping the future of media tech, youll fit right in. Were growing fast and looking for a Backend Core Group Lead to own and scale our core media processing infrastructure.
On your day-to-day
As the Backend Core Group Lead at our company, you will lead a team of backend and video engineers responsible for the companys media processing pipeline. Youll own the architecture and scalability of both real-time and offline processing systems, ensuring top performance and cost efficiency. Working closely with our AI, Product, and Infrastructure teams. Youll drive innovation in how our company processes and optimizes large-scale video and audio data using distributed systems and cloud-native technologies, while establishing best practices for monitoring, observability, and quality control across the entire processing stack. Beyond the technical leadership, youll mentor and grow engineers, fostering technical excellence and a culture of ownership, creativity, and impact.

As a Senior Software Engineer specializing in JVM-based frameworks, you'll serve as a core contributor, owning and maintaining critical parts of our Data engineering ecosystem. This role sits at the intersection of high-performance database engineering and developer experience, where you'll craft tools that enable Data Engineers to harness our incredible speed and scale.

You'll own the full lifecycle of data framework integrations - from the core database driver that handles billions of records per second, to SDKs and connectors that make us feel native in JVM-based applications. This isn't just about writing code; you're building the foundation that thousands of Data engineers rely on for their most critical data workloads.

Your work will directly impact how companies process massive datasets, from real-time analytics platforms ingesting millions of events per second to observability systems monitoring global infrastructure. You'll collaborate closely with the open-source community, internal teams, and enterprise users to ensure our JVM integrations set the standard for performance, reliability, and developer experience.

Were looking for a Backend AI Engineer to own and build our companys agentic AI architecture. This role sits at the intersection of backend engineering and production-grade AI systems. Youll design, build, and scale the backend that powers our AI creators, enabling intelligent, reliable, and observable agentic workflows at scale.
Youll work on orchestrating multi-step AI workflows that involve LLMs, tools, and decision logic, and ensure they operate reliably under high load and real-world usage. A key part of the role is designing systems that can handle non-deterministic AI behavior, recover gracefully from failures, and continue to perform as usage and complexity grow. Youll also be responsible for making architectural decisions that support scalability, low latency, and long-term maintainability of our AI platform.

we are looking for a C++ Senior Software Engineer to join the ride as we spearhead the next revolution in electronics!
Responsibilities
Design and implement multi-architecture and cross-platform software solutions in C++ for Linux and Windows OS.
Maintain software application interfaces in Java, Python, and C#.
Contribute to the full life-cycle development, integration, and deployment of software solutions in advanced testing equipment.
Collaborate within a multidisciplinary team environment across scientific and engineering disciplines.
Conduct code reviews to enhance software engineering quality.

We are looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software.
Location: Tel-Aviv in hybrid model.
Responsibilities
Develop advanced ML algorithms using data from our company Agents embedded in silicon. Example domains include:
Lifetime predictions
Clustering and dimensionality reduction
Parametric modeling and screening
Time-series forecasting
Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment.
Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions.
Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.

We are looking for a Senior ASIC Physical Design Engineer to join our dynamic team, Join the ride as we spearhead the next revolution in electronics!
What Youll Do
Own and continuously improve our smooth product backend integration methodology, flows, and best practices using Cadence and Synopsys tools.
Develop, maintain, and scale automation and infrastructure (TCL / Python) to improve quality, predictability, and turnaround time.
Collaborate closely with multiple teams to ensure smooth handoffs and high-quality product.
Support field teams on complex technical issues when needed.
Responsibilities
Implementation of ASIC units using advanced flows
Developing BackEnd methodology using Cadence and Synopsys tools
Build and develop scripts for physical design implementation
Support Field team with customer issues
Personal skills
Innovation, quick learning abilities
Team player
Commitment, full ownership of tasks
Excellent communication and presentation skills
Customer orientation
A strong sense of ownership.

We are looking for a Senior Product Engineer to join a global team of a Product Engineers that own a technical success and customer satisfaction across multiple high-impact projects. This role is deeply rooted in data analytics; youll be working at the intersection of silicon, systems, and software to deliver high-value insights to customers.
Responsibilities
Performing post-silicon and system-level data analysis and providing insights on data extracted from post-silicon stages
Supporting customers with analytics platform problems solving and new features introduction
Drive integration of our companys analytics platform within customer environments, bridging silicon, test, and system-level domains.
Collaborate with R&D and data science teams to develop, validate, and improve advanced analytics algorithms.
Troubleshoot complex silicon/system issues through data-driven insights.
Partner with internal stakeholders (design, software, product) to influence roadmap and execution.
Act as a technical proffesional in customer onboarding, support, and ongoing engagement.

we are looking for a Senior VLSI Verification Engineer to join the ride as we spearhead the next revolution in electronics!
Position location: in our Haifa or TLV offices, at least 2 working days at Haifa site (Hybrid model)
Responsibilities
Develop and maintain advanced verification environments using SystemVerilog and UVM, ensuring scalability, configurability, and reusability across multiple IPs.
Design, implement, and execute comprehensive testbenches and random test suites to validate functional correctness, robustness, and corner-case behavior of complex IP within various SoC integration environments.
Drive coverage closure by defining, collecting, and analyzing code and functional coverage metrics; identify verification gaps and ensure complete validation of feature sets prior to sign-off.
Lead debug and root-cause analysis efforts in collaboration with senior verification and design engineers, leveraging carefully crafted logs, waveform analysis and assertions to isolate and resolve design or environment issues.
Collaborate closely with architecture, design, and firmware teams to ensure verification completeness, alignment with design intent, and seamless integration at the system level.
Contribute to methodology and infrastructure improvements, including reusable UVM components, automation scripts, and best practices that enhance team efficiency and verification quality.

We are seeking a motivated and organized Project Manager to support the development and delivery of Silicon Photonics products.

The ideal candidate has a technical background in semiconductor manufacturing or silicon processes and is skilled at coordinating cross-functional teams to achieve project goals. This role requires strong planning, communication and execution skills with the ability to manage multiple priorities and drive progress across engineering, operations, and manufacturing teams. The successful candidate will be proactive, detail-oriented and capable of influencing stakeholders and moving projects forward without direct managerial authority.

Experience in photonics, optics, hardware, or mechanical engineering environments is an advantage. The candidate should be comfortable working in a fast-paced technology organization and have a proven ability to deliver results through effective coordination, follow-up, and teamwork.

Responsibilities
Coordinate and manage Silicon Photonics development projects from planning through execution.
Develop and maintain project schedules, milestones, and action-item tracking.
Work closely with engineering teams including process, design, testing, packaging, and manufacturing to support project execution.
Monitor project progress and help resolve issues that may impact schedules or deliverables.
Organize and lead project meetings, document decisions, and follow up on action items.
Communicate project status, risks, and key updates to stakeholders and management.
Ensure alignment and effective communication between internal teams and external partners when required.
Drive execution and accountability across cross-functional teams without direct managerial authority.
Support multiple projects simultaneously while maintaining attention to detail and meeting deadlines.
Help establish project plans and ensure activities are completed according to schedule.