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Required Cloud - Customer Success Engineer
As a Cloud Customer Success Engineer, you will be regarded as a technical expert specialized in deploying, supporting, and optimizing our enterprise platform within cloud environments. You will be a vital part of the "Flight Crew" for our customers, working closely with a dedicated team of Support Engineers and Success Managers to manage all post-sales activity and ensure maximum adoption.
Your focus will extend beyond traditional support into active customer success-helping clients design, automate, and navigate hybrid and multi-cloud architectures. You will use your deep cloud-native expertise, hands-on troubleshooting skills, and client-facing mastery to help customers successfully run the AI OS across the world's leading public and private cloud platforms.
Key Responsibilities:
Deploy & Maintain: Deploy, configure, and maintain cloud services and infrastructure components in customer public and private cloud environments.
Build Trusted Relationships: Develop deep, technical, and trusted relationships with customers based on technical excellence, a customer-first mindset, and your command of the Cloud product portfolio.
Automation & IaC: Contribute to cloud automation and orchestration efforts using Infrastructure as Code (IaC) tools (e.g., Terraform, Ansible) and scripting (e.g., Python, Shell).
Cloud Operations & Observability: Understand and regularly interact with each cloud provider's native monitoring, logging, dashboards, and observability tools, alongside infrastructure monitoring tools (e.g., Grafana, Prometheus).
Deep Troubleshooting: Troubleshoot complex CSP instances and networks. Systematically parse logs to identify and resolve issues within the Cloud Provider that extend beyond the AI OS itself.
Root Cause Analysis: Perform thorough root cause analysis (RCA) and post-incident reviews for infrastructure-level incidents to ensure continuous improvement and platform stability.
OnPrem/Hybrid Integration: Work with customers to integrate our Cloud with their existing On-Premises systems, facilitating robust Hybrid Cloud architectures.
Cross-Functional Collaboration: Partner with our engineering, product management, pre-sales, and professional services to elevate product features, escalate unresolved bugs, and advocate for customer-specific priorities

Required Customer Support Engineer
As a Technical Support, you will be regarded as our product expert and, as such, you will be involved in daily technical operations and escalations.
The main responsibilities include performing customer installations and technical evaluations, developing and testing and solutions in strategically and tactically significant applications and use cases, including File protocols, Machine learning, Object Storage, and high-performance computing, at customer sites and in the lab. You will consult on pre-sales and technical sales activities and will work on escalated technical support issues to resolution, interfacing with the customer and the development team.

abra R&D is seeking an Embedded QA & Integration Engineer. We are looking for a hands-on QA Engineer to join a multidisciplinary team working on complex, mission-critical embedded systems. The role focuses on system-level and integration testing of real-time embedded products, combining laboratory testing, field integration, and in-depth troubleshooting. This is a full-time, on-site position based in Northern Israel, with no hybrid option. Key Responsibilities:
* Perform hands-on manual testing of complex embedded and real-time systems at the system and integration levels
* Plan, write, execute, and maintain detailed test cases and test scenarios
* Perform end-to-end integration testing of the product as a complete system
* Analyze requirements and technical specifications and translate them into thorough test scenarios
* Work with laboratory test equipment and perform practical system setup, including connecting equipment, interfaces, and cables
* Troubleshoot and investigate failures using logs, network traces, Sniffer/Wireshark, and other diagnostic tools
* Test interfaces and interactions between the product and external systems
* Perform integration activities at customer sites when required
* Identify, reproduce, document, and investigate defects to help determine their root cause
* Work closely with Embedded, Software, Hardware, System, and Integration engineers to ensure high test coverage and product quality
* Work with Jira for defect tracking and test-related activities

The successful candidate will combine deep materials expertise with a practical understanding of complex Nanography system interactions, driving innovations from early research through manufacturing release.
Responsibilities:

* Development and optimization of waterbased industrial inkjet ink formulations
* Design, plan, conduct, and analyze experimental work to support ink performance and reliability
* Maintain strong experimental traceability, documentation, and data integrity
* Collaborate with crossfunctional teams including jetting, process, mechanical, service, and operations
* Provide technical solutions for customer escalations related to ink performance
* Support transfer of ink formulations from labscale development to pilot and production environments
Attributes:

* Selfmotivated with strong ownership and execution mindset
* Team player with excellent communication skills
* Handson, practical approach to experimental work

We are building the Autonomous Execution Layer for cloud data and AI workloads. Backed by $50M in funding, we dynamically orchestrate clusters, predict bottlenecks, and auto-heal infrastructure in real time - with zero human intervention. Our platform runs in production at global enterprise customers, including Fortune 500 companies, delivering mission-critical resilience and sub-second optimization Autonomous execution is a new category, and we are the ones defining it - already running in production inside Fortune 500 environments, where being wrong is not an option. The team is small and deliberately talent-dense ; every hire changes what we are able to build next. We are looking for a Solutions Engineer to be our technical face in front of the worlds largest data and AI organizations. You will sit with the engineers who run those environments, prove what autonomous execution does to their cost, performance, and reliability, and turn what you learn in the field into what we build next.
What Youll Do
* Own the technical win end to end: discovery, solution architecture, and the case that convinces senior engineering and data leaders
* Run proof-of-value engagements on customers own telemetry and real workloads - measured results, not slideware
* Quantify our impact in the numbers the customer already trusts: cloud cost, SLA, workload efficiency, and reliability
* Be the trusted technical voice on Databricks, cloud infrastructure, and workload orchestration for teams running mission-critical production systems
* Bring the field back into the building: shape roadmap, integrations, and enterprise capabilities with what only you see
What We Offer
* Own the technical customer journey for a category we are defining, not competing in High ownership from day one: direct exposure to founders, and field insight that changes the product within weeks
* A small, deeply technical team where the bar is the point - we hire slowly and expect a lot Top-of-market compensation and meaningful equity The teams running the worlds largest data and AI workloads are about to stop tuning them by hand. Come be the person who shows them what that looks like. Hit Apply.

Nuvoton Israel is a leading supplier of custom SoC and security hardware solutions for the computing and server markets. As a well-established and independent design center, we collaborate closely with top-tier customers such as HP, Dell, Qualcomm, Microsoft, and Google to develop advanced solutions that secure, control, and manage our customers platforms. We are seeking a talented and experienced Chip Architect to join our team. The ideal candidate is a self-motivated, fast learner with a strong background in hardware and system architecture. This role requires a technology leader capable of driving multidisciplinary programs and working closely with customers and internal teams across the entire product lifecycle. Responsibilities:
* Translate customer and marketing requirements into detailed SoC architectural specifications
* Provide functional specifications for chip hardware design and embedded software development
* Lead architectural decisions and serve as a technical authority across cross-functional teams
* Collaborate with customers and marketing to refine product requirements and align on technical solutions
* Support design, implementation, and verification processes throughout development
* Participate in system debugging, root-cause analysis, and issue resolution
* Support post-silicon bring-up, system integration, and software enablement

You will take ownership of the search infrastructure for Ask us - a financial intelligence platform powered by LLMs. Your main goal is to ensure our AI agents can find the exact financial data they need (articles, transcripts, news) in milliseconds. You will work on the Retrieval layer of our RAG architecture, combining traditional text search with modern vector search techniques.

Tech Stack: Elasticsearch (v8+), Python (FastAPI, Asyncio), OpenAI Embeddings, LangChain, LangSmith.

What You'll Do:
Search Engine Development: Design and implement Hybrid Search strategies. You will figure out how to best combine "keyword matching" (finding specific tickers like 'AAPL') with "semantic search" (finding concepts like 'revenue growth').
Relevance Tuning: You are responsible for the quality of search results. You will build systems to measure and improve how well the search engine answers user queries (using tools like LangSmith).
Vector Search & RAG: Manage the integration of OpenAI embeddings into Elasticsearch. You will solve challenges related to indexing long documents (e.g., earnings transcripts) so the AI retrieves only the most relevant parts.
Performance Optimization: Optimize Elasticsearch queries and index settings to ensure low latency, even for complex queries with many filters.
Python Backend: Develop and maintain the Python services that build queries and process results. We use FastAPI and Asyncio heavily.

We are looking for a Senior Backend Engineer specialized in Generative AI to design agent workflows, optimize interactions with models (OpenAI, AWS Bedrock), and ensure the reliability of non-deterministic systems in production.

Tech Stack: Python (Asyncio), FastAPI, LangChain, LangGraph, Pydantic, Elasticsearch, AWS Bedrock / OpenAI API, LangSmith.

What You'll Do:
Agent Architecture: Design and implement complex agent orchestration logic using LangGraph. You will define state management, conditional routing, and error handling within the agent graph.
Tool Engineering: Build and optimize the tool layer (function calling) that allows LLMs to interact with internal financial APIs and databases accurately.
Performance Optimization:
-Reduce end-to-end latency through asynchronous processing and streaming (SSE).
-Implement semantic caching strategies to minimize API costs and response time.
-Optimize token usage without sacrificing answer quality.
Observability & Evaluation: Implement automated evaluation pipelines using LangSmith. You will be responsible for setting up regression testing for prompts and agents to measure quality (correctness, faithfulness) before deployment.
Advanced RAG: Refine retrieval strategies. Work on hybrid search implementation (Keyword + Vector), re-ranking, and query expansion to feed the most relevant context to the model.