דרושים » תוכנה » ATE Database, BI & Infrastructure Engineer

As a Senior Data Infra Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.

Your mission will be to:

Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.

Join our company as a DFT Engineer, where you will lead the design for testability (DFT) efforts to ensure optimal manufacturing and quality assurance processes for complex electronic systems.
Responsibilites
Implement DFT methodologies to improve the testability and manufacturability of electronic products and PCB assemblies.
Review schematics and PCB layouts, ensuring compliance with DFT guidelines and recommending improvements for enhanced test coverage.
Collaborate with hardware design teams to integrate DFT solutions during product development.
Perform test coverage analysis using TestWay or similar tools, define test point requirements, identify coverage gaps, and provide recommendations to development teams.
Define and maintain manufacturing test strategies, including ICT, Flying Probe, Functional Testing, and Boundary Scan (JTAG).
Develop, configure, and execute JTAG/Boundary Scan tests and create test programs for validation and production environments.
Lead test pattern generation, validation, and troubleshooting activities to ensure efficient and reliable testing.
Analyze and resolve DFT-related issues throughout development, validation, and production phases.
Define requirements for Automated Test Equipment (ATE) and support the deployment and maintenance of production test systems.
Provide technical leadership and mentorship to engineers while driving continuous improvements in testability and manufacturing processes.

We are looking for a Software Automation Engineer to join our QA team and to take part in the testing process from planning to execution.
Responsibilities:
Responsible for QA processes, testing and release to production of multiple SaaS products.
Build the test plan for the products.
Identify the risks and appropriate test coverage to validate new features as well as regression and develop test plans and cases.
Lead the test execution and preparation for release.
Execute test cases, manually or in an automated fashion, capture and analyze the results, document issues and prepare test reports.
Work with the R&D and Product to deliver high-quality tested SaaS products.
Write test automation for APIs, UI and stress-testing, as an integrated member of an agile R&D team, building a robust application.
Take responsibility for the quality delivery of product releases.
Participate in defining and optimizing the R&D work processes.

DRS RADA is a global pioneer of radar systems for active military protection, counter-drone applications, critical infrastructure protection, and border surveillance. Join Our Team as a Project System Engineer at DRS RADA Technologies! DRS RADA Technologies is seeking a talented individual to join our team and contribute to the development of advanced radar-based electronic systems. About the job:
* Lead the development of advanced radar-based electronic systems
* Act as the primary point of contact for technical matters
* Collaborate with the R&D, engineering, and product teams to ensure timely delivery

Join team to build and extend the AI assistant embedded across our product suite. The platform is a production LLM agent system that's integrated into multiple host applications, backed by a RAG knowledge base and an evaluation-driven development workflow.

You'll work end-to-end: agent design, tool implementation, retrieval quality, integration into existing product UIs, cloud infrastructure, and evaluation/observability. The platform already ships to customers - you'll extend it, raise its quality bar, and help define where it goes next.

What you'll do

Design and evolve agents - build LLM agents with tool use, routing, and human-in-the-loop flows.
Implement tools and integrations - expose product capabilities to the agent, with multi-tenant context, via internal APIs and MCP servers.
Own retrieval quality - contribute to our RAG pipeline end-to-end: ingestion, embeddings, vector search, and reranking.
Define and evolve host integration contracts - collaborate with host application teams to integrate the assistant into product UIs built on different frontend stacks. You own the shared remote module and the integration API; host teams own their stacks.
Drive evaluation-led development - write evaluators (rule-based, LLM-as-judge, multi-turn), maintain CI eval gates, and use traces and feedback to debug production behavior.
Operate the platform - own deployments, observability, and the performance and cost of LLM-backed services.
Establish engineering practices** for AI-specific work: prompt versioning, eval coverage, testing, and code review.

We are looking for a Senior DSP Software Engineer who will lead design and implementation of our innovative signal processing algorithms on the industry cutting-edge target platform, consisting of embedded cores, DSPs, and dedicated accelerators.

What will you do:
Perform analysis, design, implementation and validation of innovative MIMO imaging radar algorithms for next generation ADAS and autonomous
vehicles on our target platform
Participate in SW architecture design and perform signal processing algorithm porting & optimization
Address real-time constraints in a challenging memory/compute bound framework
Be part of a goal-oriented workgroup and dynamic research & development environment
Work in close collaboration with CTO and SW architecture team

DRS RADA Technologies , a leading defense company developing and manufacturing life-saving radar systems, is seeking a GNC & Simulation Engineer. ?Position Overview We are seeking an analytical and hands-on GNC & Simulation Engineer to pioneer the digital foundation of our interceptor platform. In this role, you will build the "digital twin" of our aerial vehicles from scratch, simulating system-level trade-offs before physical hardware is realized. You will design, implement, and validate flight control, navigation, and terminal guidance algorithms that enable small, high-speed assets to successfully intercept dynamic targets in challenging environments. Key Responsibilities System Trade Studies: Run algorithmic simulations to analyze system-level trade-offs to support systemic architectural decisions. GNC Algorithm Design: Design and implement robust algorithms terminal guidance laws (e.g., Proportional Navigation) for dynamic interceptions. Flight Data Analysis: Post-process and analyze telemetry data from flight tests to validate, calibrate, and continuously improve the predictive accuracy of the simulation models.

We are seeking a visionary Director of Engineering with a strong product mindset to lead the strategy, development, and scaling of our subscription management products.

As a Director of Engineering , you will...
Build, lead, and mentor multiple cross-functional teams of managers and developers to deliver a scalable and reliable product
Foster a culture of collaboration, automation, and continuous improvement within the engineering organization
Define and implement procedures and workflows that will enable rapid innovation while ensuring enterprise-grade quality of the delivered product
Own the AI enablement vision for your organization: identify where AI can meaningfully accelerate the software development lifecycle, build the roadmap, and drive hands-on execution
Act as a key partner to business stakeholders-product, sales, finance, and executive leadership-in translating business goals into engineering strategy and representing engineering priorities in company-wide decisions
Partner with engineering leaders, product teams, and business stakeholders to ensure successful product adoption by customers