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A product company in the fintech domain is looking for a Senior Flutter Developer to join its Mobile R&D team and build high-scale cross-platform mobile applications used by customers worldwide.
Responsibilities:
Develop and maintain Flutter applications for Android and iOS.
Design scalable, high-performance mobile solutions and contribute to architecture decisions.
Integrate REST APIs, WebSockets, and third-party SDKs.
Collaborate with Product, Design, Backend, QA, and DevOps teams.
Support releases, production issues, code reviews, and engineering best practices.
Mentor developers and help improve application quality and performance.
Requirements

A leading technology company is expanding its AI Innovation Lab and is looking for a Full Stack Developer to join a team building a brand-new enterprise platform from the ground up. This is a highly impactful role in a fast-paced environment, where engineers take ownership of architecture, drive technical initiatives, and leverage AI-assisted development to accelerate delivery while maintaining high engineering standards.
Responsibilities:
Design and develop end-to-end features across backend and frontend using Java 21, Spring Boot, Angular (Signals), and TypeScript.
Build scalable, secure, multi-tenant applications while ensuring high performance and code quality.
Work daily with AI-assisted development tools to accelerate development, while reviewing and validating AI-generated code before production.
Design and implement REST APIs, contribute to database design using PostgreSQL and Flyway, and participate in system architecture and technical design discussions.
Collaborate closely with Product, Design, and Engineering teams, while contributing to Docker, CI/CD, and Azure DevOps development workflows.

Do you have a passion for cutting-edge automotive technology and a desire to work with the world's leading car manufacturers?
We are seeking a highly motivated and technically skilled Integration & Application Engineer to join our team, supporting the integration of our state-of-the-art automotive imaging radar technology into the next generation of vehicles.
Our vision is to bring new and cutting-edge automotive radar sensor solutions, while leveraging our assets and expertise in this field. Introducing best in class Radar sensor that would complement our end-to-end autonomous driving solution platform. You will be joining an excellent group of people, working on a cutting-edge mmWave Radar Technology and enjoy a dynamic and challenging environment.
What will your job look like?
Own end-to-end radar integration and bring-up, from sensor and ECU interfaces to vehicle networks and the perception data path.
Reproduce and root-cause complex integration issues using logs, packet captures, bench or vehicle testing, and SIL/HIL/embedded comparisons.
Work directly with customers and our software, hardware, algorithms, system, and validation teams throughout integration, validation, release, and deployment.
Develop analysis and automation tools for network traffic, logs, and sensor data.
Create clear interface guides, application notes, troubleshooting procedures, and technical documentation.
Represent customer needs, technical risks, and priorities to product and R&D teams.

We are looking for a Laboratory Technician to lead experimental setups, system integration, and end-to-end testing processes. The role combines technical execution, troubleshooting, documentation, and collaboration with engineering teams and international laboratories, in Israel and U.S.
Responsibilities:
Build, assemble, and integrate experimental systems, including mechanical assemblies, wiring, components installation, and operational setup.
Prepare test systems to a Ready-to-Test state through functional checks and validation.
Execute experiments according to procedures and work plans, ensuring accuracy and repeatability.
Lead testing activities end-to-end, including planning, troubleshooting, reporting, and documentation.
Identify deviations, perform troubleshooting and root-cause analysis, and implement corrective actions.
Maintain detailed experiment records, system configurations, test results, and reports.
Work with laboratory equipment, tools, and fluid systems including piping, connections, and pressure testing.
Coordinate testing activities with engineering teams and external laboratories in Israel and abroad.

Join an innovative technology company developing an AI-powered computer vision platform with real-world impact. In this role, you'll lead the design, development, and deployment of advanced AI and computer vision algorithms, taking solutions from research to production while working closely with multidisciplinary engineering teams.
Responsibilities:
Design, train, and deploy deep learning models for computer vision applications.
Develop algorithms for object detection, segmentation, tracking, and behavior analysis.
Build and optimize real-time AI solutions for edge and cloud environments.
Research, evaluate, and integrate state-of-the-art AI and computer vision technologies.
Monitor, debug, and continuously improve production ML systems.
Collaborate with Software, Product, QA, and multidisciplinary engineering teams, while mentoring other engineers.

Were looking for an Applied AI Engineer to join the Algorithmics team in a hands-on R&D role focused on building production AI systems for visual content creation. The role is less about training models from scratch and more about building intelligent systems on top of existing image, video, and language foundation models.
Youll work at the intersection of research, product, and engineering- building real-world AI capabilities used in production by creative teams.
Responsibilities:
Build AI workflows for visual content using image/video models, LLMs, and agentic systems.
Design orchestration and context-management layers (brand rules, assets, templates, user intent, constraints).
Prototype and validate new capabilities through data-driven experiments (metrics, evaluation sets, A/B testing, error analysis).
Take projects end-to-end from research to production deployment, monitoring, and iteration in cloud environments.
Work with AI-first development tools (e.g. Claude Code, Cursor, Codex) to accelerate development.

We are seeking a brilliant Product Execution Manager to lead the execution of advanced algorithmic products - Computer Vision, LiDAR, Radar, and Camera - for global automotive partners and our internal AV development.
This role requires working from our Jerusalem office two days per week.
What will your job look like:
Responsibility for managing the executing Autonomous vehicle sensing projects, ensuring the company meets its commitments to our clients
Lead complex development projects from the requirements phase through to implementation
Closely track development progress and obtain approvals for technical requirements from R&D teams
Work horizontally across internal teams (R&D, AV, REM) to unify and create a coherent product
Create optimal connections between different interfaces that don't naturally communicate, to ensure projects move forward smoothly and efficiently
Joint work with lead car manufacturers, including joined workshops, test drives, and functional tuning
Managing debugging and validation of performance and functionality across the features within the autonomous vehicle sensing stack.

A leading Israeli software company specializing in SaaS-based Human Resources management solutions is looking for a Project Manager to join its Core Systems Development team.
Role Description:
Manage and track the progress of software development projects from initiation to delivery
Coordinate and align activities across development, infrastructure, and implementation teams
Support testing processes and production releases (go-live)
Lead knowledge management and maintain comprehensive project documentation
Gather information and prepare responses for RFPs, tenders, and SOC audits
Ensure smooth communication between stakeholders and technical teams
Identify risks, resolve issues, and ensure timely project delivery

A leading Israeli software company specializing in SaaS-based Human Resources management solutions is looking for a Full Stack Developer to join its development team.
You will be responsible for building and enhancing a modern, scalable web platform using Angular on the frontend and C#/.NET on the backend, working with cutting-edge technologies and AI-assisted development tools.
Responsibilities:
Develop and maintain full stack web applications (Front End & Back End)
Build responsive UI components using Angular
Design and implement backend services using C# / .NET and Web API
Work with SQL Server for database design, queries, and optimization
Collaborate with product, QA, and R&D teams to deliver high-quality features
Participate in code reviews and ensure best practices in code quality and architecture
Integrate and utilize AI development tools to improve productivity and code quality
Support ongoing system enhancements and production maintenance

We are looking for a talented Software Engineer to join a team building an internal, AI-powered platform designed to significantly improve product quality by identifying edge cases and long-tail scenarios in autonomous driving systems.
Using state-of-the-art Vision and Language models, the team is rethinking how training, validation, and stress-testing are done.
This is a highly impactful engineering role focused on building innovative internal products end-to-end- tools developed from scratch that are designed to become part of the companys daily workflows and directly influence core algorithmic and product decisions.
If youre passionate about deep learning-driven products, large-scale experimentation, and owning complex systems from design to production- this is the place for you.
What will your job look like:
Take part in building an AI search platform from scratch, and owning it end to end in a production environment.
Design and implement full-stack solutions, including backend services, frontend interfaces, and database management.
Work with cloud-based systems, containers, and modern software infrastructure to support performance, scale, and reliability.
Collaborate closely with algorithm developers and internal users to expose complex capabilities in a simple, usable way.

A deep-tech startup building real-time vision intelligence systems, is looking for a hands-on Embedded Hardware & System Integration Engineer to join its team and help develop advanced electro-optical systems for real-world applications.
This role is focused on hardware and system integration-not algorithms or optics. We are looking for someone who enjoys working with sensors, cameras, interfaces, suppliers, debugging, and bringing complex systems from concept to a reliable product.
Responsibilities:
Select and evaluate hardware components for electro-optical systems.
Analyze datasheets, ICDs, application notes, and technical specifications.
Work directly with suppliers on technical evaluations, integration requirements, and component selection.
Integrate cameras, sensors, and peripherals with embedded/edge computing platforms (e.g., NVIDIA Jetson).
Support hardware bring-up, system integration, testing, and debugging.
Troubleshoot issues related to hardware, power, communications, drivers, cabling, thermal performance, and system stability.
Define and execute component-level and system-level validation tests.
Maintain BOMs, wiring diagrams, integration documentation, and test procedures.
Support transition from prototype to production and field deployment.

A cutting-edge deep-tech startup is looking for a Senior Backend / Full-Stack Developer (backend-leaning) to join its core engineering team and help build advanced vision intelligence systems for early threat detection - including drones, boats, and other targets at the edge of visibility.
This role is ideal for someone who enjoys ownership, working across the stack, solving complex engineering challenges, and building meaningful real-world technology.
What youll do:
Own and build backend services in a distributed, event-driven system
Develop real-time data pipelines between edge devices and operator systems
Design and evolve core system architecture and data flows
Build and maintain features in Vue 3 + TypeScript when needed
Develop and scale a large, production-grade TypeScript codebase
Drive reliability, performance, and scalability in production systems
Work closely with product and engineering in a highly hands-on environment

We are looking for someone who brings ML and computer-vision depth to the team - someone who can help shape the intelligence layer that decides what data is worth training on.
What will your job look like:
Work collaboratively with shared ownership. Your focus area will be the curation and ML side of our data pipeline, but you will contribute across the full stack alongside the rest of the team.
Build and improve the curation pipeline - from vision-model embeddings and scene detection, through VLM-based scene analysis, to scoring, deduplication, and sampling that produces a balanced and diverse dataset.
Run and optimize GPU inference at scale (embedding extraction, VLM inference) across thousands of driving sessions using workflow orchestration.
Develop scoring and sampling strategies that ensure rare but important scenarios (night driving, adverse weather, hazardous situations) are well-represented in the final dataset.
Work with algorithm teams to understand what data gaps hurt model performance and translate those into curation criteria.
Build validation and diagnostics that measure dataset quality - not just pipeline health, but whether the data is actually good for training.
Contribute to the core dataset SDK, converter, and 3D-geometry tooling (camera projection, calibration, coordinate transforms).

Required Senior Data & ML Infrastructure Engineer
What will your job look like?
Optimize distributed data and evaluation pipelines for memory efficiency, throughput, and training performance.
Build tools for data exploration, manipulation, validation, and quality assessment.
Own model manipulation, packaging, distribution workflows, and interfaces with downstream deployment and EyeQ integration.
Coordinate data contracts and workflows with researchers, infrastructure and data teams, and internal customers across.