דרושים » תוכנה » Innovation engineer

We are seeking an advanced PhD Candidate to join our Data Research team as a part-time researcher and subject matter expert. The core team is responsible for building and shipping data science algorithms for product line, with a special emphasis on Cyber Security.
We are opening this specialized role to tackle longer-term, high-complexity research initiatives that require deep academic rigor. You will focus on bringing State-of-the-Art methodologies, with an emphasis in LLMs and Advanced NLP, into our ecosystem.
This role is designed for a researcher who is "hands-on." We value deep theoretical knowledge, but we require the ability to translate that theory into productive, working code within a limited timeframe.
What youll be doing:
Long-Horizon Research: Lead specific, deep-dive research initiatives that require advanced methodology (e.g., novel anomaly detection architectures or LLM-based reasoning for security threats) without the pressure of daily sprint cycles.
LLM Innovation: Design and prototype advanced LLM workflows (RAG, Agents, Fine-tuning) to solve specific security challenges that standard APIs cannot handle.
Academic-to-Industry Bridge: Act as a knowledge hub for the team; bring SOTA academic concepts, recent paper findings, and novel techniques into the teams toolkit.
High-Impact Prototyping: Build functional Proofs of Concept (POCs) that the full-time engineering team can eventually operationalize.

Join our team and lead the design, implementation and maintaining cutting-edge Data Platforms and Big Data Solutions. In this position, you will have the unique opportunity to significantly impact intelligence processes, contribute to the counter - terrorism efforts and leveraging advanced Big Data technologies.
Design, install, maintain and upgrade Big Data technologies
Monitor and optimize system performance, identifying areas for improving and implementing solutions
Provide technical support to internal teams and end - users, ensuring seamless operations
Design and implement advanced infrastructure solutions using the Hadoop Ecosystem
Analyze user requirements, evaluate and recommend new technologies in the Big Data domain.

As a Senior Fullstack Engineer on the GenAI Platform Team, you will lead the design, development and maintenance of scalable use- friendly platforms and applications. You will work closely with product teams, data engineers, and AI developers to bridge the gap between advanced AI models and seamless user experiences. This role requires strong expertise in fullstack development with a particular emphasis on React for frontend development as well as building and optimizing backend systems.

Analysis of processes and writing specification documents for development based on user requirements in HR systems including support until production
On-going collaboration with HR, payroll, and IT stakeholders in the organization.
Strong interpersonal skills, communication abilities, and teamwork.
Business understanding, technical leadership, process improvement and optimization, self-learning, and investigation.
The role requires in-depth understanding of various technologies and complex logic
working in a dynamic, agile environment in collaboration with various teams.

Infrastructure Management: Design, deploy, and manage large-scale production environments using kubernets and Docker.
Automation & Scripting: Develop sophisticated automation tools and scripts, primarily using Python, to improve operational efficiency.
CI/CD Pipeline Ownership: Build and optimize end-to-end continuous integration and deployment pipelines to ensure rapid and reliable software delivery.
Collaboration: work closely with R&D teams to troubleshoot complex architectural challenges and optimize application performance.
System Integrity: Maintain high availability and security standards across all production and staging environments.

Analyze and investigate RF signals across the electromagnetic spectrum.
Identify and diagnose spectrum anomalies and mitigate electromagnetic interference (EMI).
Operate measurement equipment such as Spectrum Analyzer, Network Analyzer, and Signal Generator.
Collaborate with technical teams to implement RF solutions.
Job location- Central Israel
scope of hours: 100-160 hours.

we are 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 the food delivery industry by making drone delivery a reality. We are looking for an experienced QA Engineer to join a fast-growing multidisciplinary team in our vibrant working environment in the center of Tel Aviv. This is a unique opportunity to work on the worlds leading drone delivery system and be a part of a revolution in the making. As a QA Engineer at Flytrex, you will be part of the team in charge of the quality of the companys products. Main Responsibilities:
* Performing comprehensive QA planning and coordination for multiple projects from the design stage until delivery.
* Collaborating with internal teams (Product, R&D, Field Engineering) to identify system requirements and plan a coherent TEST plan accordingly.
* Planning & developing automated tests for various components of the Flytrex system.
* Managing, analyzing, and handling support tickets that arise from the customers end.
* Creating detailed, comprehensive, and well-structured ATP, STP & STRs.
* Improving the company's products reliability levels.

We are seeking a Site Reliability Engineer (SRE) to join our team responsible for critical infrastructure
Key Responsibilities
Operate and manage the Kubernetes platform (RKE2) platform
Set up and manage CI/CD pipelines using tools like Jenkins Argo CD and others
Implement Infrastructure as Code (IaC) and infrastructure automation
Design and maintain monitoring systems using Prometheus, Grafana and Elastic
Develop internal monitoring and quality control tools
Analyze incidents, trends and availability using SQL
Build Self - Service capabilities for development teams
Participate in on - call rotations, handle production incidents, and lead documented post- mortems
Write and Maintain operational documentation.