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Flytrex is building an autonomous drone-delivery network for restaurants in suburban America. We are one of 4 companies that are FAA approved to fly over residential neighborhoods (together with Amazon, Google/Wing and Zipline) but are the only one exclusively focused on restaurants. Uber is an investor in Flytrex and we fly deliveries for Doordash as well. After thousands of successful commercial deliveries and multiple breakthrough FAA approvals, Flytrex is now expanding rapidly across the U.S., starting with Dallas Forth worth. Flytrex is revolutionizing on-demand delivery using drones, working hand in hand with some of the world’s largest retailers and restaurant chains, Flytrex is turning science fiction into reality. This video gives a high level explanation of what we are doing.. As we continue expanding our operations, we’re looking for a Flight Test & Integration Engineer (Entry-level) with a mechanical or robotics background to help bring our next-generation delivery drones to life. In this role, you’ll bridge the gap between design and real-world performance - preparing, executing, and analyzing flight and system tests. You’ll facilitate the multi-disciplinary system development process for Flytrex's drone delivery service and take part in hardware and mechanical integration, field testing, troubleshooting, and system validation. If you enjoy hands-on work, field testing, and making complex systems come together - this is for you. Must be a maker at heart with a hands-on attitude. Responsibilities
* Plan and execute lab and field integration testing of drone systems, including mechanical, electronic, and software components.
* Participate in the design, assembly, and bring-up processes of prototype and production hardware.
* Analyze test results, identify root causes, and support engineering teams with clear technical feedback.
* Work closely with mechanical, electronics, software, product, regulations and flight operations teams to ensure smooth system integration.
* Support continuous improvement of test processes, safety protocols, and documentation.

We are looking for a Senior Frontend/ Full stack Engineer who thrives on solving complex problems and shaping the future of construction technology. If you are proactive, open-minded, and passionate about impact, this is the place for you. Construction Cloud (ACC) is our comprehensive construction management platform that connects workflows, teams, and data at every stage of a project to maximise efficiency and productivity. ACC enables seamless collaboration and informed decision-making. It enhances project predictability, safety, and quality, helping construction professionals deliver successful outcomes across the entire lifecycle of a building. , we work in a hybrid working environment based in our TLV office.

Responsibilities

Design, build, and scale robust systems
Contribute to architectural discussions and planning
Debug complex issues and support production systems
Write high-quality, testable, and reusable code
Mentor junior engineers and promote team growth

We are looking for a Senior Frontend Engineer who thrives on solving complex problems and shaping the future of construction technology. If you are proactive, open-minded, and passionate about impact, this is the place for you. Construction Cloud (ACC) is our comprehensive construction management platform that connects workflows, teams, and data at every stage of a project to maximise efficiency and productivity. ACC enables seamless collaboration and informed decision-making. It enhances project predictability, safety, and quality, helping construction professionals deliver successful outcomes across the entire lifecycle of a building. , we work in a hybrid working environment based in our TLV office.

Responsibilities

Design, build, and scale robust systems

Contribute to architectural discussions and planning

Debug complex issues and support production systems

Write high-quality, testable, and reusable code

Mentor junior engineers and promote team growth

We are looking for a Field Service Engineer to join our Service team in Beer-Sheva, Israel.

Service engineers are required to diagnose, repair, and maintain our robotic system while collaborating with other teams (SOC, system integration, Tier 3, and more) to improve our systems robustness and reliability. Responsibilities range from onsite servicing for robots and stations to developing support methodologies, reporting, and tools.



What youll do



 Maintenance, repair, and installation of our robotics hardware environment.

Technical training and mentoring of new support technicians.

Defining and writing procedures for maintenance, recovery, and deployment of robots and stations.

We are looking for a Robotic System Operator (RSO) to join our Delivery team in TLV.

Fabrics Delivery team is responsible for all the technical aspects of keeping the robotic system up and running and for the commissioning process. Our team works on-site, hands-on, verifying that our robots and the entire operational cycle exceed expectations.

The position takes place in Fabrics Tel Aviv office in the SOC (Support Operation Center). The SOC is the command center where you will support the robotic systems.



What you'll do



You will function as Tier 1, working in shifts (including nights and weekends), accepting support requests from the robotic sites, following procedures to resolve support issues

You will perform escalation to the system integrator, field technicians, and RnD team to solve urgent problems during Shifts while the system is down and must be back to operational mode immediately.

You will monitor the sites to ensure optimal uptime. The RSO position involves multidisciplinary problem-solving remotely from the SOC.

You will adhere to safety standards to ensure employee and subcontractor safety.

You will monitor and verify the system to meet the operational requirements as planned. Report problems or changes to the Professional Services team.

We have a diverse tech stack, with a backend organized in services architecture that helps keep it flexible as well as more traditional solid backend components.

Were investing in DevOps culture, which means end-to-end ownership from supporting the feature design to monitoring the production deployment.



What you'll do

The code you will write will live in the heart of our product, and enable humans and robots to work together in harmony. It is what we call the fulfillment platform domain.
It starts at the top, with exposing customer facing APIs and handling customer updates.
Continues with allocating and managing inventory and stock.
Proceeds with prioritizing and executing picking orders, receiving stock, and other robotic operation tasks.
Finally, seeing the order through packing and delivery processes.
Our code sets the pace of the site operation. We optimize movement in the site so that operations are smooth, fast, and efficient.

we are looking for an AI Engineer to join our MLOps team and take a lead role in shaping the core systems that power AI across the company. From low-latency microservices and production-grade ML workflows to developer tooling and Python infrastructure. We care deeply about clean, elegant code and building powerful systems that are a joy to work with.
Responsibilities

Lead the design and development of core AI platform, supporting a wide range of frameworks, models and configurations to best serve our users' evolving needs
Build tools and workflows for model training, deployment, and monitoring-enabling seamless integration between research and production.
Collaborate closely with research scientists, data engineers, and product teams to deliver reliable, high-performance AI solutions.
Shape the Python ecosystem at -defining best practices, building reusable libraries, and developing infrastructure that supports our Python teams.

we are looking for a proactive Applied ML Engineer to join our ModelOps Team. This role serves as the Technical Gatekeeper for our AI solutions, sitting at the vital crossroads of Research, Engineering, Product, and Data. You will ensure that our cutting-edge computer vision models are not just theoretically sound, but optimized for production and perfectly aligned with business needs.

The ideal candidate possesses a unique blend of system-wide vision and coding ability. You won't just monitor performance; you will define the standards for deployment, leverage internal ML infrastructure to solve complex gaps, and ensure our AI translates into flawless real-world performance. We are looking for an initiator who can bridge the gap between high-level research and production-grade execution.
Responsibilities:

Define Deployment Standards: Determine the criteria for model success, ensuring every release meets the high bar for both technical precision and business logic.
Drive Cross-Functional Orchestration: Serve as the primary technical interface between Research, Product, Engineering, and Data teams.
Optimize the System: Use your coding ability and internal ML infrastructure to creatively improve the "Recognition Factory."
Champion Performance: Proactively identify production performance gaps and improve model behavior to better serve specific client use cases.
Evolve Infrastructure: Leverage and improve internal tools to automate the model lifecycle and ensure data integrity at scale.

we are looking for an AI Engineer to lead our MLOps team and take full ownership of our machine learning infrastructure used to train, evaluate, and deploy our state-of-the-art computer vision models. In this role, you will work closely with other team leads and Product to plan and build the future of core AI platform. You will help define technical direction, make long-term architectural decisions, and translate company goals into executable plans, directly impacting ability to scale its AI capabilities and the overall success of the company.
Responsibilities

Manage and lead the MLOps team, including mentoring, professional development, and day-to-day technical guidance
Plan and own quarterly roadmaps, sprint planning, task breakdown, and execution, ensuring alignment with company and product priorities
Design, build, maintain, and evolve ML infrastructure for training, evaluation, and deployment of computer vision models
Own the end-to-end ML lifecycle in production, including experimentation workflows, training orchestration, model versioning, deployment, and monitoring
Balance delivery and technical excellence by making architectural decisions and enforcing engineering best practices
Work closely with research, data, product, and platform teams to move models reliably from research to production
Actively contribute code to critical components and review design and implementation across the team
Evaluate and introduce new technologies and tooling to improve scalability, reliability, and developer productivity

As a tech lead, you will take a leading part in designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies and mentor team members.
What You'll Do
Design and develop platform capabilities for scalable data products tailored to enterprise customers
Collaborate with Product Managers, Software Engineers, and DevOps Engineers to gather requirements, create systems, feature design documentation, and implement solutions across diverse environments
Write Java-based back-end code, leveraging Spark, various cloud services, and relational databases
Partner with the production team to define solutions, monitor services, troubleshoot issues, and identify cost optimization opportunities
Mentor and guide team engineers, providing support in their daily tasks and development
Build and use monitoring infrastructure to track services, troubleshoot problems and optimize performance, throughput and costs
Address privacy challenges to ensure the protection and confidentiality of consumer and patient data

As a senior software engineer, you will take a leading part in a dedicated team designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies.
What You'll Do
Work with Product Managers and team members to understand requirements, create and discuss feature design documents, and implement solutions
Build platform capabilities for a set of new scalable data products to support enterprise customers
Write back-end code in Java, which involves Spark, multiple cloud services, and relational databases
Build and use monitoring infrastructure to track services, troubleshoot problems, and optimize performance, throughput, and costs
Investigate production issues and ensure the system is constantly improving
Work with the production team to track services, troubleshoot problems, and figure out how to reduce costs
Solve privacy challenges to ensure consumer and patient data is never exposed

seeking a talented Site Reliability Engineer to join our team in Israel. Our SRE team is responsible for the design, creation, and maintenance of our healthcare data platform hosted on multiple cloud/on-prem environments. This is an amazing opportunity to work with a world-class technical team and to be responsible for designing, creating, and provisioning infrastructure as well as deploying and maintaining applications with a focus on infrastructure as code We aim to adopt the best solutions to fulfill our requirements. Join us in solving complex challenges in the healthcare data industry. So, if you want to grow with us and work for a world leader company, now is the right time to join.
What You'll Do
Ensure high uptime and reliability of Crossixs production environment, on-prem and cloud
Take responsibility for managing the production environment, security, change management, deployment, architecture, and tools
Perform root cause analysis for complex failures and offer modern solutions and tools
Lead technical discussions with our health data partners in the USA
Analyze performance and stability issues and create in-house automation tooling
Work closely with DevOps, R&D, product, and project managers to enable automated CI/CD methods
Design, develop, and drive troubleshooting & mitigation tools as part of driving self-healing agenda
Constantly improve the technology stack, supporting the data growth and the customers requirements
Working in a data-driven company with cutting-edge environments that combines multiple cloud technologies

seeking a talented Engineer to join our Big Data Analytics Tools group in Israel.

This is an amazing opportunity to work with a world-class team and to hold responsibility for designing and implementing big data platforms and pipelines.

You will work with Engineers, Data Scientists, DevOps, and PMs and be in charge of designing and developing Apache Spark applications on AWS infrastructures that process large volumes of media exposure records while preserving privacy.

If you want to grow with us and work for a world leader company, now is the right time to join.
What You'll Do
Be part of an engineering team that focuses on Big Data analytical platforms and tools
Design and implement highly reliable and scalable Spark applications that efficiently process big data
Collaborate with data scientists on the design and implementation of ML data pipelines
Integrate with relational databases, MongoDB, and AWS services (e.g. EMR, S3, SQS)
Work in an agile team to improve the development life cycle, development practices, and testing facilities