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Were hiring an AI Backend Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of AI/ML/Backend engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

We are looking for a Post-Silicon Validation Engineer with strong hands-on experience in PCIe link bring-up, physical-layer debug, and silicon validation. Engineer will work closely with Design, Architecture, Firmware, Software, Engineering teams.

Key Responsibilities
Perform hands-on post-silicon validation
Debug PCIe link issues including link training, LTSSM, equalization, recovery, resets, and link stability.
Analyze PCIe state-machine traces, protocol traces, registers, logs, eye diagrams, and lab measurements.
Drive complex issues from initial failure through root-cause analysis and final resolution.
Work closely with silicon, firmware, software, architecture, and signal-integrity engineers to isolate issues across HW/FW/SW boundaries.
Validate PCIe functionality across different generations, platforms, configurations, and operating conditions.
Develop and execute PCIe validation plans, stress tests, corner-case scenarios, and interoperability tests.
Develop automation to improve validation coverage, debug efficiency, and regression testing.

we are seeking a Full Stack Team Lead to drive AI-first development across our core platform.
As an AI-first company, we integrate artificial intelligence into every facet of our operations, from product development to internal processes. In this role, you'll lead a team of 5-6 dedicated full-stack developers, working on cutting-edge technologies to enhance user experiences and data-driven solutions.
You'll have the autonomy to make technical decisions and support other developers in a collaborative environment.
What You Will Do:
Lead Development Initiatives: Guide a team of full-stack developers in building core applications, ensuring the integration of AI-driven features.
Mentorship: Provide technical guidance to engineers, fostering their growth and promoting best practices in AI-assisted development.
Architectural Decisions: Make hands-on technical decisions for backend (Java + AWS) and frontend (React/Angular) components, incorporating AI tools where applicable.
Code Quality: Write clean, maintainable, and efficient code, setting high standards for code quality and review practices.
Cross-Functional Collaboration: Work closely with Product teams to prioritize features, estimate work, and keep projects on track, leveraging AI to streamline processes.
Innovation: Identify pain points and drive improvements in our codebase and processes, utilizing AI to enhance efficiency.
Team Motivation: Ensure daily alignment, remove blockers, and champion best practices within the team.

As we expand our presence in Israel, we are seeking a motivated Physical Design Student to join our founding local engineering team.

This is a unique opportunity to kickstart your career in the semiconductor industry. Working alongside senior industry veterans, you will gain hands-on experience in backend execution and advanced methodologies for cutting-edge chips that power the world's largest AI clusters. If you are passionate about silicon hardware, eager to learn, and thrive on solving complex engineering challenges, this role offers the perfect bridge between your academic studies and a high-impact career.


Key Responsibilities

Guided Implementation & Learning
Partner with and learn from senior engineers to support the physical implementation journey, including synthesis, floorplanning, Place & Route (P&R), and Clock-Tree Synthesis (CTS).
Assist in macro-level implementation and develop hands-on skills in complex layout routing.
Participate in deep-submicron process challenges under close professional mentorship.

Signoff & Design Integrity Support
Assist in running engineering checks for design integrity, including Static Timing Analysis (STA), Physical Verification (DRC/LVS), and Reliability analysis (EMIR).
Learn to apply Logic Equivalence Checking (LEC) to help guarantee design correctness.
Gain exposure to the rigorous flows required to ensure first-pass silicon success.

Scripting & Cross-Functional Collaboration
Leverage and develop scripting tools to automate repetitive tasks and optimize the engineering environment.
Collaborate with Architecture, Design, and DFT teams to understand how different chip design disciplines intersect.
Actively participate in team reviews and technical discussions to ramp up backend methodologies.

Were hiring a ML Engineer to accelerate AI-driven innovation across B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

We are hiring a Manager Design Engineer to help architect and deliver the connectivity silicon powering the world's largest AI clusters. You'll own design execution on complex blocks across our purpose-built products, working at the cutting edge of PCIe, CXL, Ethernet, and emerging rack-scale interconnect technologies.

This is a high-impact technical role at a hyper-growth company. You'll partner closely with architecture, verification, DFT, and physical design teams to take features from spec to silicon, while contributing to the design methodology that scales with our roadmap. If you want to ship silicon that defines AI infrastructure, this is the team.

Key Responsibilities

RTL Design & Implementation
Own RTL design for assigned blocks from microarchitecture through synthesis sign-off.
Develop high-quality, synthesizable Verilog/SystemVerilog with strong attention to PPA.
Drive design reviews, lint, CDC, and timing closure activities to silicon-ready quality.

Cross-Functional Execution
Partner with architecture to translate specifications into implementation-ready microarchitecture.
Collaborate with verification on testplans, coverage closure, and bug triage.
Work with DFT and physical design teams on scan, BIST, floorplanning, and timing closure.

Technical Leadership & Quality
Mentor junior engineers and contribute to design methodology, scripts, and best practices.
Debug complex pre-silicon and post-silicon issues across RTL, gate-level, and emulation environments.
Drive structured, data-driven design decisions in support of aggressive tapeout schedules.

We are looking for an experienced and hands-on Lab Manager to lead Lab operations.

The Lab Manager will be responsible for the day-to-day operation, maintenance, expansion, and continuous improvement of the lab environment supporting roadmap projects.

This role requires a highly organized, hands-on individual who can manage lab facilities and infrastructure, bring up and maintain testing setups, manage equipment and inventory, coordinate procurement and vendors, and provide timely support to validation and engineering teams.

Key Responsibilities

Lab Facilities & Infrastructure
Own and manage all lab facilities, infrastructure, and day-to-day lab operations.
Build and expand new lab facilities to support current and future roadmap requirements.
Plan lab space, power, cooling, networking, safety, and equipment placement according to project requirements.
Ensure the lab is organized, safe, reliable, and ready to support engineering activities.
Equipment & Test Setup Management
Set up, bring up, configure, maintain, and troubleshoot lab equipment and hardware testing environments.
Manage servers, networking equipment, test instruments, power supplies, cooling systems, environmental chambers, and other infrastructure.
Maintain high lab availability and minimize downtime impacting schedules.
Procurement & Vendor Management
Identify equipment and infrastructure requirements based on project needs and roadmap plans.
Manage the procurement process for new lab equipment, tools, components, and consumables.
Work with suppliers and vendors to obtain quotations, evaluate options, coordinate deliveries, and resolve technical or service issues.
Evaluate equipment based on technical requirements, availability, performance, power consumption, space, and cost.
Inventory Management
Own and maintain accurate lab inventory, including test equipment, servers, cables, adapters, components, tools, and consumables.
Establish and maintain an effective system for equipment tracking, allocation, and lifecycle management.
Ensure required equipment and materials are available in advance of project execution.
Track equipment status, calibration, repairs, and end-of-life requirements.
Hands-on Lab Support.
Perform hands-on assembly, cabling, soldering, rework, and modification of hardware setups when required - advance.
Assist engineers with hardware bring-up, and lab infrastructure issues.
Troubleshoot electrical, and system-level lab issues.
Support the integration of new equipment and test setups into existing lab infrastructure.

we are hiring a CX Manager with deep expertise in ERP finance systems, P2P workflows, and integrations.
This role is the ERP SME and integration owner within Customer Experience. The focus is to understand how finance processes work in customer ERPs, how they connect , and how to turn customer issues, bugs, feature gaps, and new requirements into clear integration solutions.
This is a hands-on role for someone who can solve complex customer issues, define ERP integration requirements for Engineering, and lead resolution end to end. The role also operates in a highly AI-enabled environment, using AI tools, platforms and agents to improve triage, analysis, escalation management, and communication.
This role owns ERP integration within Customer Experience: diagnosing customer issues, defining integration requirements, and driving resolution end to end.
Youll partner with teams in Israel and the US and report to the Director of Customer Experience.
What You Will Do:
Own ERP integration issues across bugs, feature gaps, and customer requirements.
Serve as ERP SME and L3 support lead for complex finance workflow and integration cases.
Diagnose setup, configuration, data flow, mapping, permissions, and sync issues.
Distinguish between customer setup issues, integration issues, and product issues, and drive the right resolution path
Define functional requirements and solutions for ERP integration fixes, sync issues, missing data flows, and new capabilities.
Lead escalations with strong ownership and clear internal/external communication.
Use AI tools to improve triage, analysis, RCA, summaries, and handoffs, with clear human-review checkpoints.

We are looking for entrepreneurs with deep finance, fintech and ERP experience who bring strong product judgment.
This role is for people who have lived finance systems complexity firsthand and want to use that experience to build product. You might come from finance transformation, ERP, consulting, operations, or fintech. What matters is that you understand where workflows fall short, where controls matter, how better systems should work, and how product decisions create business value.
AI-native tools are part of how we build. This role is a chance to turn finance and ERP insight into product faster, with more context and better judgment than traditional product development allows. Youll collaborate closely with teams across the Bay Area and Israel.
What You Will Do
Find high-value opportunities in fintech and ERP workflows that should be redesigned, not just improved
Shape those opportunities into clear product direction with strong user and business value
Define workflow logic, edge cases, controls, exceptions, and handoffs
Decide what should be automated and what should remain human-driven
Work with engineering, design, data and marketing to build and ship new capabilities
Test ideas with customers, learn quickly, and refine fast
Own the path from problem identification to customer value and business impact

As we expand our presence in Israel, we're seeking a visionary Expert IC Package Design Lead to help build our local engineering powerhouse from the ground up. This is a unique opportunity to take on meaningful product ownership in a new site, leading the physical implementation strategy for chips that power the world's largest AI clusters.

As an Expert IC Package Design Lead, you will be a core technical contributor in the development of advanced IC packaging solutions for high-performance connectivity silicon.
You will own package flow, architecture, design, and qualification from concept through production, working closely with silicon, signal integrity, power integrity, mechanical, manufacturing, and external OSAT partners. You will be responsible for defining package technologies that meet aggressive electrical, thermal, mechanical, and cost targets, enabling our products to operate reliably in the worlds most demanding AI and cloud environments.

Key Responsibilities
Own end-to-end IC package design, from early architecture and feasibility through detailed design, qualification, and high-volume manufacturing.
Define package architecture and technology selection (organic substrates, advanced laminate, interposers, multi-die/chiplet packaging, CoWoS - 2.5D/3D integration).
Lead signal integrity (SI), power integrity (PI), and thermal considerations at the package level for high-speed, high-power devices.
Drive package layout, substrate routing, bump/ball maps, stack-ups, materials selection, and mechanical constraints.
Collaborate closely with silicon design, SerDes, system, SI/PI, and reliability teams to optimize overall product performance.
Interface with OSATs, substrate vendors, and manufacturing partners to ensure design-for-manufacturability (DFM), yield, and cost targets.
Lead package-related risk assessment, failure analysis, and corrective actions during bring-up and production ramp.
Support NPI, qualification, and product sustainment activities, including vendor audits and technical reviews.

Power the Future with us! SolarEdge (NASDAQ: SEDG), is a global leader in high-performance smart energy technology, with over 3000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive
The IoE group specializes in making SolarEdge devices smarter and more connected. What You Will Be Doing:
* Develop and design high-quality code following best practices to ensure reliability, maintainability, and scalability.
* Optimize and enhance the performance of existing software components.
* Collaborate with hardware engineers to ensure seamless integration between hardware and software.
* Lead technical discussions, code reviews, and mentor junior engineers.
* Participate in the full software development life cycle including concept, design, development, deployment, and support.
* Leverage cutting-edge AI tools and the latest development features to accelerate development, improve code quality, and drive innovation across the team.
* On the Interface team, you'll develop the core infrastructure handling all communication between the device and external systems — cloud, mobile, and other on-site controllers — deployed across millions of devices worldwide.


Country:
Israel

City:
Herzliya

We are seeking an experienced Program Manager - Decisioning (Credit Risk) to own, evolve, and execute our risk decisioning products. This role partners closely with ML Engineers , Engineering Leads and Business Stakeholders to transition us from product-specific silos into a generic, high-velocity engine powering Card, BNPL, and emerging products.

Blending strategic oversight with hands-on, rigorous program execution, you will turn complex risk logic into scalable, explainable platforms. Youll own both long-range quarterly planning and sprint execution- defining who we approve, on what terms, and at what expected loss- while ensuring strict alignment with our risk portfolios, regulatory requirements, and long term unit economics. This role requires strong judgment, deep analytical thinking and meticulous detail standards.

As the Program Manager, your mission is to drive an advanced, adaptable decisioning platform that eliminates financial waste and prepares us for its next stage of hyper-growth. You will drive the delivery of core systems that determine how we approve, price, and manage risk-turning complex data into fair, instant, and transparent outcomes for millions of customers.

What Youll Do

Cross-Functional Partnership
Act as the glue in the "Decisioning Triangle," partnering with Business owners, ML Leads and Engineer Leads to operationalize underwriting policies, while taking into account the trade-offs between approval rates, loss, revenue, and customer experience. Partner and balance competing requirements from various business owners (Heads of Card, BNPL, etc.) as well as Compliance, Legal, and Operations to ensure high-quality execution and regulatory integrity.

Hands-On Program Management
Act as an owner for key initiatives, driving the full product lifecycle from discovery and definition through launch, iteration, and performance monitoring. Use data and experimentation to inform decisions and continuously improve outcomes. Identify and remove bottlenecks in the underwriting flow to drive toward high-automation and speed-to-market.

We seek an experienced Senior Staff Data Engineer to join our AI and Data Solutions unit and champion an AI-first strategy. You will spearhead the development of Data Lakehouse processes, model core product domains, and define data engineering best practices across the organization. Serving as a technical project lead, you will provide strong direction and collaborate with Data Science, Analytics, R&D, and IT teams to elevate onboarding workflows. This role demands a proactive approach to optimizing system capabilities and driving cross-functional data initiatives.
Key Responsibilities:
Own the design, implementation, and optimization of scalable Data Lakehouse and Data Warehouse architectures across diverse cloud ecosystems.
Spearhead the development of robust ETL/ELT pipelines and data ingestion processes utilizing SQL, Python, PySpark, and DBT.
Apply advanced data modelling techniques to structure complex data assets into optimized facts, dimensions, and partitions.
Partner with cross-functional leadership across data science, analytics, R&D, and IT to identify requirements and improve workflows.
Orchestrate complex data workflows combining tools like Airflow and DBT with advanced Gen-AI development workflows using CloudCode.
Define, document, and popularize data engineering best practices, design patterns, and data quality standards across the unit.
Evaluate and implement modern data technologies spanning vendor-specific and open-source landscapes including GCP, AWS, and Apache Iceberg.
Provide technical direction and hands-on guidance to ensure high-performance execution, reliable pipeline delivery, and proactive problem-solving.