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We're looking for a talented Chip Design Engineer to join our Nitro team in Tel Aviv and help shape what comes next.

As a Chip Design Engineer on the Nitro team, you will take full end-to-end ownership of one or more critical IP blocks within the product, guiding them from micro-architecture definition through RTL design, debug, synthesis, timing closure, and final sign-off before tape-out. Your work will ship in silicon that powers us at global scale.
You'll partner closely with the Verification and Emulation teams to shape test plans, review coverage, and close gaps early in the design cycle. Beyond your own IP, you'll collaborate across disciplines with Product Definition, Software, Physical Design, and Verification teams to deliver a fully integrated, production-ready chip.

We're looking for an exceptional senior Chip Design Engineer to join our Nitro team and help shape what comes next. You'll work alongside a world-class, fast-moving engineering team, take full ownership of critical IP blocks, and see your work deployed at a scale no other platform can match- powering hundreds of thousands of businesses across 190 countries.

If you want to build silicon that leads the cloud world, this is where it happens.

As a Senior Chip Design Engineer on the Nitro team, you will take full end-to-end ownership of one or more critical IP blocks within the product, guiding them from micro-architecture definition through RTL design, debug, synthesis, timing closure, and final sign-off before tape-out. Your work will ship in silicon that powers AWS at global scale.
You'll partner closely with the Verification and Emulation teams to shape test plans, review coverage, and close gaps early in the design cycle. Beyond your own IP, you'll collaborate across disciplines with Product Definition, Software, Physical Design, and Verification teams to deliver a fully integrated, production-ready chip.

Key job responsibilities
* Full ownership of one or more IPs within the product:
Micro-architecture definition.
RTL coding and debug.
Synthesis and timing closure.
Sign-off before tape-out.
* Supporting the Verification and Emulation teams: Test plan development, coverage review.
* Ensuring the chip meets quality and reliability standards.
* Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical Design.

Were looking for an experienced & talented IT Infrastructure and Cloud Engineer to join our IT department and be responsible for our IT and Cloud Corporate Infrastructure. Youll be suggesting, implementing and deploying new IT solutions together with improving existing processes and maintaining our IT infrastructure, assuring that all of our systems are in optimal condition, providing the best service to our clients.
Responsibilities
Be responsible for requests from the field, related to our global corporate on-premise and cloud infrastructure. This includes servers, storage appliances, active network equipment, firewalls, cloud services, cloud automations, CI/CD and other initiatives.
Design and oversee the integration of core services and platforms such as AWS, Google Cloud and Workspace, Okta, Cloud Backups, Zero Trust Network Access (ZTNA), Secure Web Gateway, Cloud-based EDR and other cutting-edge technologies.
Spearhead the strategy, implementation, and governance of GenAI tools and platforms across the company, focusing on process improvement, building internal AI agents, and driving organizational AI transformation.
Lead the architectural design and deployment of scalable, reliable, and secure corporate infrastructure, emphasizing Infrastructure as Code (IaC) principles to manage on-premise and cloud environments.
Define network policies and procedures, including design, planning network new communication systems and monitoring to allow high quality service for our global offices.
Collaborating with our security team to implement technology and security policies, safeguarding our systems and data from potential threats.

Join our companys AI research group, a cross-functional team of ML engineers, researchers and security experts building the next generation of AI-powered security capabilities. Our mission is to leverage large language models to understand code, configuration, and human language at scale, and to turn this understanding into security AI capabilities which will drive our company AI future security solutions.
We foster a hands-on, research-driven culture where youll work with large-scale data, modern ML infrastructure, and a global product footprint that impacts over 100,000 organizations worldwide.
Key Responsibilities
Your Impact & Responsibilities
As a Senior ML Research Engineer, you will be responsible for the end-to-end lifecycle of large language models: from data definition and curation, through training and evaluation, to providing robust models that can be consumed by product and platform teams.
Own training and fine-tuning of LLMs / seq2seq models: Design and execute training pipelines for transformer-based models (encoder-decoder, decoder-only, retrievalaugmented, etc.), and fine-tune open-source LLMs on our company-specific data (security content, logs, incidents, customer interactions).
Apply advanced LLM training techniques such as instruction tuning, preference / contrastive learning, LoRA / PEFT, continual pre-training, and domain adaptation where appropriate.
Work deeply with data: define data strategies with product, research and domain experts; build and maintain data pipelines for collecting, cleaning, de-duplicating and labeling large-scale text, code and semi-structured data; and design synthetic data generation and augmentation pipelines.
Build robust evaluation and experimentation frameworks: define offline metrics for LLM quality (task-specific accuracy, calibration, hallucination rate, safety, latency and cost); implement automated evaluation suites (benchmarks, regression tests, redteaming scenarios); and track model performance over time.
Scale training and inference: use distributed training frameworks (e.g. DeepSpeed, FSDP, tensor/pipeline parallelism) to efficiently train models on multi-GPU / multi-node clusters, and optimize inference performance and cost with techniques such as quantization, distillation and caching.
Collaborate closely with security researchers and data engineers to turn domain knowledge and threat intelligence into high-value training and evaluation data, and to expose your models through well-defined interfaces to downstream product and platform teams.

Were building a new team building to bring the power of our company to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and our native AI agents.

Were looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all our customers 10x developers.
What Youll Do:
Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing our company to help companies and developers to maximize the benefit of their integration with our company
Help conceptualize and build innovative User flows and experiences within our user space and different extensions
Prototype and see what works well in the real world, iterate closely with our users, and then ship
Follow the latest research on LLM prompt optimization, agents, and code editing.
Support other product teams to help them build and productionize their developer-focused AI Workflows. For example, youll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of one click to reproduce for production errors.

We are seeking a talented Full Stack Engineer to join our team and help build the Opik product! Opik is an open-source platform designed to streamline the entire lifecycle of LLM applications, helping developers evaluate, test, monitor, and optimize their models and agentic systems.

Ready to shape the future of LLM development? Join us in building the next generation of AI observability tools!
Responsibilities:
Build & ship features at high pace in a fast-moving AI development environment
Develop and maintain comprehensive observability tools for LLM applications and RAG systems
Create intuitive user interfaces for LLM tracing, evaluation dashboards, and production monitoring
Build robust APIs and backend services to support real-time LLM application monitoring
Collaborate with AI researchers and ML engineers to implement cutting-edge evaluation methodologies
Contribute to both frontend (React/TypeScript) and backend (Java) components
Design and implement automated evaluation systems and "LLM as a Judge" capabilities
Work on integrations with popular LLM frameworks and libraries
Participate in open-source community engagement and technical documentation

As a QA Automation Engineer at our company, you will work across multiple products, including our core platform, Lunar and Playground, ensuring a high-quality experience for our customers.

This is a hybrid QA role combining both manual and automated testing (approximately 50/50), with a strong focus on web applications and APIs.

What Youll be Doing:
Design and execute test plans, test cases and exploratory testing scenarios for web applications and APIs.
Perform functional, regression and end-to-end testing.
Review product requirements, identify gaps and challenge assumptions.
Collaborate closely with Product Managers and Developers throughout the development lifecycle.
Build and maintain automated regression tests for key user flows.
Validate data accuracy, system behavior and product functionality.
Identify, document and track defects through resolution.
Investigate production issues and verify bug fixes.

We are seeking a Senior Backend Engineer with deep backend engineering expertise and proficiency in one or more major programming languages (e.g., Python, Java, Go, Rust, or Kotlin), along with a strong understanding of AI models and agents. As a core member of our AI Engineering team, you will collaborate with data scientists, ML engineers, and product managers to build scalable, production-ready infrastructure and APIs that power intelligent systems.

What you'll be doing:
As a Senior Backend Engineer in the AI Engineering team, you will:
Build and maintain reliable, scalable backend services to support AI agent execution and orchestration.
Develop AI agent systems for complex operational workflows using LangChain, LangGraph, LiteLLM, and Langfuse.
Orchestrate a hybrid model stack that includes OpenAI and Google Gemini alongside self-hosted and fine-tuned LLMs like Gemma and Llama.
Build and maintain integrations with clinical systems (FHIR, EMR).
Drive observability and reliability using OpenTelemetry, Datadog, and Langfuse.
Design APIs (GraphQL, REST), background workers, and event-driven systems that interface with AI inference engines and agent runtimes.
Collaborate with Data Science, ML, and engineering teams to deploy AI features and improve the performance, scalability, and reliability of backend systems.
Participate in code reviews, knowledge sharing, and mentoring to elevate the teams technical capabilities.

Join our amazing team as a Senior Technical Support Engineer!

We are looking for a highly experienced and driven Technical Support Engineer to lead complex incident management and serve as a key escalation point (L3) for our customers. In this role, you will play a critical part in ensuring operational excellence, driving fast and effective resolutions, and maintaining the highest level of customer satisfaction.

You will work directly with enterprise customers to troubleshoot and resolve advanced technical issues across diverse environments, acting as a trusted technical expert. You will also partner closely with Engineering, Product, and Customer Success teams to improve product operability, influence future development, and ensure a best-in-class customer experience.

This is a highly cross-functional role in a fast-paced environment, with direct impact on both customers and product evolution.

Responsibilities
Provide advanced technical support to customers and partners, acting as an L3 escalation point
Manage support cases end-to-end, from initial intake to resolution, including timely follow-ups
Perform deep technical troubleshooting, fault isolation, and root cause analysis of complex issues
Troubleshoot Linux-based environments, system services, networking, authentication, and application integrations
Diagnose and resolve identity and access management (IAM) issues involving SSO, federation, directory services, and authentication workflows
Lead customer-facing technical workshops to define requirements and ensure solution alignment
Collaborate closely with Engineering and Product teams to improve product operability and reliability
Translate complex technical issues into clear communication for both technical and non-technical stakeholders
Collect and channel customer feedback into Product and R&D teams
Create, maintain, and publish technical documentation, including support bulletins and knowledge base articles
Contribute to internal knowledge sharing and reusable troubleshooting resources
Review and improve technical materials such as training content, manuals, and troubleshooting guides

We are 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 our 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