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we are looking for a talented R&D Team Leader to join our innovative development team. As a vital part of our mission to deliver leading security solutions, you will contribute to the development of security products that ensure the safety and integrity of our customers' software throughout the entire lifecycle, from code development to runtime operations. If you thrive in dynamic environments, take ownership of features from end to end, and are eager to mentor and share knowledge with the team, this is the role for you!

To join us, you should demonstrate hands-on leadership while providing guidance and support, as well as assisting developers at the code level.

As an R&D Team Leader Security, you will...
Lead a team of 4-6 developers, working on large-scale, complex, and cutting-edge systems.
Manage the delivery of multiple, complex, simultaneous development projects from design to release.
Ensure that risks and issues are identified and managed closely, while driving all stakeholders to deliver on time and to the required quality standards.
Make key decisions to ensure the right effort for the successful implementation of all initiatives.

We are looking for a Director of Product Management to join our Artifactory core product. As a Director of Product, you will lead a group of product managers, take part in building the companys strategy, and lead that strategy to execution. You will be in charge of a B2D multi-million dollar product with a focus on expanding the business by creating data-driven products that customers love.

As a Director of Product Management you will...
Lead, hire, and manage a team of senior product managers
Take a major role in defining the strategy of flagship product - Artifactory
Identify, design, experiment, and iterate on product decisions by leveraging data gathered from customers' usage and interviews, market research, UX and usage/adoption metrics.
Master the product and lead the requirements through its full life cycle, from ideation to development and launch
Work closely with multiple technical and business teams and with other Platform products leads to assure the delivery meets expectations, and collaborate with efforts to build a holistic development platform
Continuously review the business needs, define priorities, outline milestones and deliverables, and identify opportunities and risks

We are looking for a driven Business Development Representative to join our fast-growing Sales Development Unit. In this role, you will work closely with Marketing and Sales to help drive solutions. You will develop new business opportunities through outbound prospecting, cold calling, email campaigns, and inbound lead follow-up.

As a Business Development Representative you will...
Internalize mission, vision, and values
Generate new business pipelines through outbound prospecting activities and inbound lead follow-up
Maintain sales data through Salesforce that will influence monthly/quarterly sales reports, pipelines, forecasts, etc
Research and evaluate prospects prior to engagement
Establish active communication and engagement with prospects to create new leads and sales opportunities
Collaborate with sales and marketing to build a sales strategy for generating new prospects

This role sits at the intersection of engineering, product, and the global developer community. Youll translate technical work across all domains, repositories, security, release management, pipelines, distribution, metadata, AI/ML, and ecosystem integrations, into content, demos, talks, and conversations that developers trust. Youll also bring community insights back into R&D and business teams to influence product direction.

As a Developer Advocate you will:
Represent across developer, DevOps, security, and platform-engineering communities through conferences, meetups, webinars, podcasts, and online conversations
Create high-quality technical content: deep-dive articles, demos, hands-on guides, screencasts, code samples, and social content
Build compelling demos and storytelling around core domains: Artifactory, Xray, Curation, Distribution, Pipelines, Workers, Fly, AI/MCP, and ecosystem integrations like GitHub
Collaborate closely with R&D, Product, Security, Solutions Engineering, Architecture, and Customer Success to deeply understand new capabilities and provide practical feedback
Engage with open source and developer communities, finding new channels and conversations where should have a voice
Partner with Marketing to strengthen messaging while preserving technical credibility
Monitor and report impact across community engagement, content performance, OSS participation, and broader DevRel KPIs

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 looking for a Senior RT Embedded Engineer to join our design and development team, responsible for the full-cycle development of an innovative 4D imaging radar for the automotive sector. You will take a lead role in design and implementation of real-time software for a multi-core automotive SoC platform, consisting of embedded cores, DSPs and dedicated accelerators.

What will you do?
Be part of full-cycle development of embedded SW for innovative automotive radars.
Take a lead role in embedded system SW design and implementation on the industrys cutting-edge embedded SoC.
Integrate the teams SW over the real-time embedded controller. Bring SW to validation readiness to the validation team. Bring SW to the test vehicles.
Specify and balance system-SW requirements to achieve the run time restrictions of the compute platform.
Work in collaboration with the CTO and Algorithms team.

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.

We are looking for an Algorithms Manager who will lead the design and implementation of the automotive imaging radar Algorithms stack.

What will you do?
Lead the team which defines and scales up our radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond.
Drive and consistently improve our radar performance.
Identify key areas of Next Generation improvements, recommend research directions and system solutions.
Design, develop and implement Radar data analysis methodology
Be a knowledge source for automotive radar KPIs.
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others.

We are looking for an Algorithms Engineer who will handle the design and implementation of the automotive imaging radar Algorithms stack.

What will you do?
Be part of the team that defines and scales up our radar high performance algorithms and make them meet the ADAS and Autonomous Vehicles standards and beyond.
Consistently improve our radar performance.
Design, develop and implement Radar data analysis methodology.
Be a knowledge source for automotive radar KPIs.
Work closely with different stakeholders that include external customers and internal interfaces like SW, HW, and others.

Eitan Medical is an international Medical Device company that develops and manufactures innovative medical equipment. Specifically, we develop infusion pumps and their related accessory products. Job Description: Eitan medical is looking for a highly motivated Software QA Engineer with strong manual testing capabilities, hands-on automation experience, and practical usage of AI tools for software quality and testing activities. As part of the Digital Health Department, you will be responsible for designing, planning, and executing test scenarios for complex medical software systems. The role combines manual testing, automation development, backend/API validation, and AI-assisted QA workflows to ensure high-quality and reliable products used in real-life patient care. You will work closely with R&D, Product, and System Engineering teams in a dynamic and fast-growing environment. Direct Manager: Digital Health SW QA Team Leader

We are seeking a highly motivated V2X Customer Engineer to join our Customer Engineering team. The successful candidate will serve as a trusted technical advisor to automotive OEMs, Tier-1 suppliers, module vendors, and ecosystem partners developing products based on our V2X solutions.

Our team is deeply technical and engineering-driven. In addition to customer-facing activities, Customer Engineers actively develop software, tools, demonstrations, proof-of-concepts, and reference solutions that help customers successfully evaluate, integrate, validate, and deploy V2X technology.

The role combines customer interaction, system engineering, software development, troubleshooting, and innovation, allowing engineers to influence both customer success and product evolution.

Key Responsibilities

Customer Technical Leadership

Act as the primary technical interface between customers and our engineering teams.

Support customers throughout the product lifecycle, from evaluation and design through validation and production.

Lead technical discussions, design reviews, architecture assessments, and integration activities.

Understand customer applications, requirements, and deployment scenarios, and provide expert technical guidance.

Support customer field trials, interoperability events, demonstrations, and production programs.

Engineering and Development

Design and develop software tools, and applications that enhance customer adoption of our V2X technologies.

Develop and maintain demo applications, proof-of-concepts, and engineering prototypes used for customer engagements, industry events, and internal validation.

Implement customer-specific adaptations, reference implementations, and integration examples that accelerate development and reduce technical risk.

Create automation solutions for testing, validation, diagnostics, data collection, and performance analysis.

Contribute code, bug fixes, and feature enhancements to internal software projects when required.

Technical Problem Solving

Reproduce, analyze, and resolve complex system-level issues spanning software, hardware, RF, networking, security, and standards compliance.

Drive root-cause investigations in collaboration with engineering teams.

Analyze logs, traces, packet captures, and field-test results.

Develop workarounds, reference solutions, and validation methods for customer issues.

Product and Ecosystem Support

Provide technical training, workshops, and hands-on enablement activities.

Support interoperability testing with ecosystem partners.

Gather customer feedback and communicate requirements and market insights to Product Management and Engineering.

Contribute to technical documentation, application notes, training materials, and best practices.

As Chief Architect, you will lead cross-group technical efforts, head the Architect Guild, and lead the department's AI enablement and transformation efforts. You will serve as a technical consultant and see the large picture of technology stack and its architecture. Our technology stack is built to handle significant complexity, integrating advanced AI, Data Science, and algorithmic optimization with robust infrastructure - ranging from cloud-native K8s and Serverless deployments to specialized Mobile and Embedded systems

This is not a docs and slides position, were looking for an architect who wishes and can stay hands-on and be able to dive into multidisciplinary complex issues and independently solve them. You will work closely with R&D leads and engineers to ensure engineering best practices and excellence.

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.