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We are looking for an experienced Software Engineer (4+ years) to join the team as an AI Integration Engineer, supporting one of our enterprise clients as part of their AI-Native Development program.
In this role, you will act as an AI Champion and Technical Mentor within the clients R&D organization. Your mission is to help development teams effectively integrate AI tools, agentic coding workflows, and best practices into their daily software development lifecycle (SDLC). You will help guide teams through AI adoption, help overcome resistance, and ensure AI delivers real value.
This is not a feature-delivery or coding-focused role, especially in the early stages, the position is centered on enablement, training, and integration, working closely with teams to embed AI development tools into real workflows and support the organizations AI transformation.
This is a high-impact role focused on technical enablement, AI expertise, and effective collaboration with development teams, and intended for experienced engineers who actively use AI in their day-to-day development work and are looking to influence how teams work, rather than for junior profiles or engineers seeking a purely coding-focused position
What Youll Do:
Help drive adoption and optimization of Claude Code and/or similar Agentic coding tools
Support software and QA engineers, answer technical questions and help unblock teams
Stay on the cutting edge of AI releases and best practices, turn your learnings into shareable assets (custom rules, agents, skills, demos, playbooks, etc.)
Measure impact, identify gaps and improvement opportunities across the SDLC
Help defuse resistance to change with patience and empathy
Partner with DevOps, architects and management to track and optimize AI utilization.

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.

In this role, you will be responsible for building data infrastructure for performance tuning, and analysis of a new analytics product. As a member of our Data Performance team, you will collaborate closely with other SW & HW Engineers to improve the performance of our new cutting-edge APUs. You will collaborate with our business leaders and participate in the product design and implementation. You will evaluate, implement, and integrate a diverse set of tools and technologies such as Spark, Comet, Velox, Dagster, Hardware emulators and software simulators.





Join a multi-disciplinary team of experts operating at the foundation of data infrastructure stack

Build a robust data benchmarking infrastructure

Develop in-house measurements and ETL tools

Conduct detailed performance analysis and characterization

Research state-of-the-art benchmarks and techniques for SQL and data optimization

Were expanding a fast-growing practice that helps engineering teams leverage AI in their SW development lifecycle and transform into AI-native teams. Weve served dozens of satisfied customers in Israel and abroad and are now hiring a hands-on engineer to lead and drive R&D AI transformation programs, AI tooling adoption & tracking, create resources and run training at scale.
Key Responsibilities:
Own the AI R&D transformation and Agentic SDLC agenda across multiple clients: assessments, KPIs, rollout plans, training, champions programs, skills/agent developments, etc.
Lead AI Coding Tooling optimization end-to-end, plus evaluate/compare adjacent tools (e.g. Claude Code, Cursor, GitHub Copilot, Kiro, etc).
Create training materials (slides, exercises, demos) and deliver workshops; Train teams yourself and mentor trainer bench.
Develop AI infra & tooling, dashboards, frameworks, playbooks and AI resources (skills, agents, hooks, MCPs, etc) for clients to enable transformation, automation and governance
Partner with Sales/Delivery on pre-sales to attract new customers.
Stay on the cutting edge of releases and best practices, turn learnings into repeatable packages.

We are looking for an ATE Engineer to join our multidisciplinary team in central Israel.
The role involves developing and implementing complex automated test solutions, from requirements analysis through direct integration with hardware and Automated Test Equipment (ATE).
Key Responsibilities
Translate Test Requirements Documents (TRD) into automated Test Sequences/Scenarios using NI TestStand or OTM (ORION).
Develop, maintain, and enhance automated test sequences and deploy them in laboratory environments.
Integrate measurement instruments and communication protocols with ATE systems, perform debugging, and support troubleshooting activities.
Develop software components and DLLs in C# or C for hardware communication, when required.
Work closely with Hardware, Electronics, and Integration teams, including reading and interpreting electrical schematics.

Required Research Data Scientist II, Waze
About the job
The Personalized Experience team aims to give Waze drivers personalized, hyper-local, contextual and timely routing experience. The team contributes to the Personalized Navigation squad and more. The team members are embedded within the Waze development Squads. We develop and own Machine-Learning models from ideation to production, including research, production grade pipelines, feature engineering, experimentation, monitoring and dashboards, inspection and debugging.
The team works closely with the product team, helping to shape the requirements and success metrics. The team works closely with the Backend teams, integrating the models, ensuring a feedback loop to enrich the models, triage and solve users complaints, leading and guiding experimentation and more.
Waze is where people and technology meet to solve transportation challenges. It's a platform that empowers users to contribute road data and edit Waze maps to improve the way we move about the world. As the social navigation pioneer, Waze leverages mobile technology and a passionate global community to redefine expectations of todays maps.
Responsibilities
Feature engineering, model evaluation and error analysis, data processing and pipelines, model tuning, monitoring and dashboards.
Work with product managers, software developers and quality analysts to define requirements, formulate success metrics and lead experimentation.
Use data to help products to shape the future of Waze and drive innovation. Provide insights on user behavior and help engineers and quality analysts detect and solve complex problems.
Utilize Cloud Platform, Vertex AI, Python, Scikit-learn, TensorFlow, Airflow/Composer, Python and Looker tools.

We are looking for an Analytics Engineer (contract) to join Artifactory Product Analytics and build the data platform behind how we measure our products. You will own the engineering side of analytics: designing product telemetry with PMs and R&D, modeling that data into trusted, reusable datasets in the warehouse, and making those datasets easy for analysts and stakeholders to consume. Product analysts own the product questions and metric definitions; you make the data underneath them fast, consistent, and dependable.
You will work inside an AI-native analytics environment (Cursor, Claude, and similar coding agents) as the default way of shipping - not as an optional add-on.
Fixed-term contract: 6-8 months. Start date: October 12, 2026.
Responsibilities:
Design telemetry: partner with PMs and R&D to define event and data specs for product usage - schemas, properties, validation, and the path into the warehouse (core, ongoing part of the role)
Build the modeled layer: develop and maintain dbt transformation models (staging → intermediate → gold) so Artifactory product data is consistent, tested, documented, and reusable
Enable self-serve: with the analysts, design and implement how stakeholders reach certified product data so recurring questions don't need a custom pull
Align definitions: standardize entities, grain, and model structure across Artifactory areas together with the analysts who own product meaning
Ship in an AI-native workflow: specs, SQL, dbt models, reviews, and documentation done in Cursor / Claude and equivalent tools.

We are looking for an Analytics Data Engineer (contract) to join Artifactory Product Analytics and build the data platform behind how we measure our products. You will own the engineering side of analytics: designing product telemetry with PMs and R&D, modeling that data into trusted, reusable datasets in the warehouse, and making those datasets easy for analysts and stakeholders to consume. Product analysts own the product questions and metric definitions; you make the data underneath them fast, consistent, and dependable.
You will work inside an AI-native analytics environment (Cursor, Claude, and similar coding agents) as the default way of shipping - not as an optional add-on.
Fixed-term contract: 6-8 months. Start date: October 12, 2026.
Responsibilities:
Design telemetry: partner with PMs and R&D to define event and data specs for product usage - schemas, properties, validation, and the path into the warehouse (core, ongoing part of the role)
Build the modeled layer: develop and maintain dbt transformation models (staging → intermediate → gold) so Artifactory product data is consistent, tested, documented, and reusable
Enable self-serve: with the analysts, design and implement how stakeholders reach certified product data so recurring questions don't need a custom pull
Align definitions: standardize entities, grain, and model structure across Artifactory areas together with the analysts who own product meaning
Ship in an AI-native workflow: specs, SQL, dbt models, reviews, and documentation done in Cursor / Claude and equivalent tools.

We are looking for a hands-on Backend Engineer to join an innovative R&D team building a cloud-native product. You will deliver high-quality Go (and Java where needed) using modern cloud frameworks, and own features end-to-end - from design through production health.
Responsibilities:
Design, implement, and ship backend services for a cloud-native product - from design through production
Write clean, testable, maintainable Go (and Java where needed)
Own features end-to-end with your team: APIs, data model, tests, rollout, and production health
Partner with product and peers on design trade-offs for scalability and reliability
Proactively propose and drive incremental product improvements, not just ticket work
Keep pace with DevOps and cloud-native practices that affect how we build and run software.

The company is a leading direct-to-consumer platform for app publishers, processing more than $1B annually. As a Senior Backend Engineer you will build and evolve core backend systems - high-scale, cloud-native services that power critical business flows - with end-to-end ownership from design and architecture to production, monitoring, and continuous improvement.
Responsibilities:
Design and maintain scalable, high-availability backend services in cloud-native environments.
Own features end-to-end: design, implementation, deployment, monitoring, and optimization.
Contribute to system architecture, API design, data modeling, and event-driven flows.
Write maintainable code and participate in design/code reviews.
Optimize performance, reliability, and resource usage.
Collaborate with Product on translating business requirements into technical solutions.
Mentor other engineers and improve engineering standards.

We are looking for Software Project Manager in Petah Tikva (on-site). You will plan and run software delivery projects end-to-end - timelines, resources, budget and risk - working directly with customers and with internal R&D, DevOps and architecture teams.
What You'll Do:
Plan and manage software development projects: scope, timelines, resources and dependencies.
Work with R&D, DevOps, product and architecture teams to keep execution moving.
Track and report progress in JIRA and adjacent project management tools.
Own risks, budgets and stakeholder reporting.
Improve project management processes and Agile practice across teams.
Keep delivery aligned to both business goals and technical requirements.

This role sits at the intersection of AI and high-performance systems engineering, focused on solving real-world problems under strict constraints. You will work on systems where performance and reliability are critical and where improvements have a direct, measurable impact on real-world safety.

This is a senior, systems-focused role with end-to-end ownership over performance and reliability of production computer vision pipelines. You will define optimization strategies, identify bottlenecks across the system, and drive improvements under real-world constraints.

What youll do
Build and optimize real-time computer vision pipelines running on edge systems processing live maritime video streams (e.g, NVIDIA Jetson, Triton Inference Server).
Take models from research and turn them into production-ready, reliable components deployed on vessels.
Profile and improve end-to-end system performance across: multi-camera video ingestion; preprocessing; inference; postprocessing.
Identify and resolve bottlenecks across CPU, GPU, memory, and pipeline coordination.
Make and justify tradeoffs between latency, accuracy, stability, and resource utilization.
Design and implement robust data and inference pipelines (video -> model -> actionable output for crew).
Develop benchmarking and evaluation workflows to measure performance end-to-end and support release gating.
Build and improve observability tools, including logging, monitoring, and debugging workflows for production systems.
Define and maintain clear interfaces between research code and production systems.
Work closely with research and backend teams to integrate new models into production systems.
Continuously improve system efficiency and reliability under hardware and runtime constraints.

Required RTL Design Technical Lead, Servers, 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.
As part of our Server Chip Design team, you will use the ASIC design experience to be part of a team that creates the SoC VLSI design cycle from start to finish. You will collaborate with design and verification engineers in active projects, creating architecture definitions with RTL coding, and running block level simulations.
We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Clouds Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.
Responsibilities
Lead the Design Activities at IPs, SubSystems(S.S) and SoC.
Plan, execute, track progress, assure quality, report status of the assigned activity.
Lead a team of designers both directly and in teams.
Define the Block/SoC level design documents such as Micro Architectural Specifications.
Own IP, S, SoC strategies for clocks, resets, and debugs. Enforce global methodologies and drive enhancements.

We are looking for a Senior Full Stack Developer to join a team delivering mission-critical systems for a leading financial institution. You will own features end-to-end across the full stack, working in a secure, highly regulated banking environment where reliability, code quality, and disciplined process matter as much as speed.
This is a hands-on senior role on a layered enterprise architecture. You will be expected to operate confidently across all tiers - from the React client through to the core banking integration - and to raise the engineering bar for the team. We build with modern, AI-assisted workflows, so developers who are fluent with tools like Cursor and Claude Code will feel at home.
Architecture at a Glance
You will design and build across a layered banking architecture, understanding the responsibilities and boundaries of each tier and how data and transactions flow through them:
Client (React | React Native) → BFF (Nest.js / JavaScript) → Middleware (.NET / C#) → Core Banking
Key Responsibilities
Design, build, and maintain full-stack features end-to-end across the client, BFF, and middleware tiers.
Develop responsive, accessible UIs in React and build the Backend-for-Frontend layer in Nest.js / Type script.
Integrate middleware services in .NET / C#, connecting to core banking systems and third-party financial APIs.
Write secure, well-tested, maintainable code, with unit and integration test coverage as part of the definition of done.
Work within the bank's SDLC and governance - change management, environment promotion, security and compliance gates, code review, and release control.
Participate in design discussions and code reviews; mentor team members and improve engineering practices.
Collaborate with product, QA, architects, and the client's teams in a delivery-focused, client-facing setting.

We are looking for a Senior Automation QA Engineer (AQA) to join a team delivering mission-critical systems for a leading financial institution. You will own test automation end-to-end across a layered banking architecture, building the frameworks, suites, and pipelines that keep quality high in a secure, highly regulated environment.
This is a hands-on senior role for an engineer who treats test code with the same rigor as production code. You will define automation strategy, drive coverage across UI, API, and integration layers, and embed automated quality gates into the delivery process. We build with modern, AI-assisted workflows, so QA engineers who are fluent with tools like Cursor and Claude Code will feel at home.
Architecture You Will Test
You will design and maintain automated coverage across all tiers of a layered banking architecture, validating behavior and data flow as it moves through each layer:
Client (React) → BFF (Next.js / JavaScript) → Middleware (.NET / C#) → Core Banking
Key Responsibilities
Design, build, and maintain automated test frameworks and suites across UI, API, and service/integration layers.
Automate end-to-end UI tests for the React client and BFF, and API/contract tests for the .NET middleware and core integrations.
Build, maintain, and optimize automated test pipelines in CI/CD, and embed quality gates into the build and release process.
Define test strategy, test plans, and coverage; partner with developers on where unit, integration, and end-to-end tests belong.
Validate asynchronous and event-driven flows (e.g. RabbitMQ / Kafka) and verify data integrity across services and databases.
Triage failures, perform root-cause analysis, log and track defects, and report on quality metrics and release readiness.
Work within the bank's SDLC and governance - change management, environment promotion, and compliance gates.
Mentor team members on automation best practices and raise the overall quality bar.