לוח משרות דרושים הייטק תוכנה

Do you want to join a global team within an innovative fast-paced medical device company? Grab the opportunity and make good use of your Mathematical and programming skills and affinity to medical device.
Key Responsibilities:
You will design and develop novel algorithms in 3D modeling, computational geometry ,computer vision, machine and deep learning, and high-performance computing.
AI driven approach for computer vision problems
You will research and analyze the underlying problems using real data.
Design and test algorithms in C++ and Python.
Implement algorithms in C++ and integrate them into desktop/cloud applications.
Work closely with other members of the algorithms team and members of other groups such as physics and electronics.
Participate in design reviews and code reviews of co-developers.

You don't need a traditional technology background to succeed here. What we're looking for is someone who is genuinely passionate about AI, technically sharp, and capable of owning complex projects end to end. The technology operations side of the role is learnable; the drive, curiosity, and communication skills are not.
You'll be the person who shapes how our company uses AI internally, builds the systems that keep our technology running smoothly, and ensures our security and compliance obligations are met on time.
Responsibilities
Gen-AI & Intelligent Tools
You'll own this from day one. we are actively building AI into how every team operates, and you'll be the person making that happen.
Continuously explore the generative AI landscape and bring forward clear, well-reasoned recommendations on what our company should adopt
Lead the full lifecycle of AI tool rollouts, from identifying the right solution, building the business case, managing the rollout, and driving adoption across teams
Build and automate workflows using AI and no-code/low-code tools that remove friction and free up people to focus on higher-value work
Become the internal go-to for anything AI related, running training sessions, writing guides, and helping teams get practical results from the tools they use
Track and report on the ROI and adoption of deployed tools, and adjust course when something isn't working
Stay obsessively current on what's happening in AI, new models, new agent frameworks, new use cases, and translate that knowledge into concrete action
Technology Operations
Take ownership of our company's internal technology stack, including devices, software, user accounts, and day-to-day support
Manage employee onboarding and offboarding from a technology perspective
Keep SaaS tools, licenses, and vendor relationships organized and up to date
Maintain clear documentation so nothing lives only in your head
Security & Compliance
Keep ISO certification requirements on track by managing audit schedules, documentation, and coordinating evidence collection across departments
Drive SOC 2 readiness by maintaining the evidence library (access reviews, training records, change management logs) and supporting auditor visits
Vet new suppliers before onboarding by collecting security documentation, ensuring agreements are signed, and keeping the vendor register current.

We are looking for an experienced Applied Data Scientist with expertise in building agentic systems and autonomous agents to join one of our R&D. You will be at the core of transforming our supply chain solutions into a fully agentic platform - designing and building agents that autonomously generate analytical pipelines, orchestrate multi-step reasoning, and resolve complex logistics challenges for our customers. You will combine strong machine learning and deep learning expertise with the ability to architect and implement production-grade agentic systems, working closely with engineering, product, and domain experts to push the boundaries of what autonomous AI can do in supply chain.
Responsibilities:
Design and build autonomous agentic systems that generate, configure, and execute analytical pipelines to solve supply chain challenges end-to-end
Architect multi-agent workflows with planning, tool use, memory, and feedback loops - enabling agents to reason, adapt, and improve over time
Develop and integrate ML and deep learning models (e.g., predictive models, anomaly detection, demand forecasting) as core capabilities within agentic pipelines
Research and apply state-of-the-art techniques in agentic AI, LLM orchestration, and multi-agent systems to production use cases
Translate complex logistics and supply chain challenges into agent-based problem formulations, collaborating closely with product and domain experts
Define and implement rigorous evaluation frameworks for agent performance: correctness, reliability, robustness, and edge-case handling
Collaborate with software engineers to productionize agentic solutions - including testing, monitoring, versioning, and iterative improvement
Contribute to team practices: reproducible code, experiment tracking, documentation, and knowledge sharing.

We're looking for a Data Analyst to join one of our R&D. You'll design and deliver data-driven solutions that combine data analysis, statistical methods, improved heuristics, and ML models training to power our company's autonomous supply chain intelligence platform. You'll work closely with data science, engineering, product, and supply chain experts - owning solutions from problem definition to iterative improvement.
Responsibilities
Analyze large, multi-source operational datasets to identify trends, anomalies, and drivers of supply chain performance
Improve and maintain heuristic rules and analytical models for supply chain use cases (e.g., inventory risk, demand patterns, root-cause analysis)
Train and iterate on ML models to enhance existing analytical solutions
Define success metrics and evaluation plans with support from senior DS/PM; run error analysis
Work with stakeholders to create and maintain ground truth (label definitions, labeling workflows, QA checks, feedback loops)
Implement and refine hybrid decision logic by combining analytical outputs with statistical methods and SQL/rules-based logic for robustness and explainability
Collaborate with software engineers to support deployment of analytical solutions, including testing and logging
Monitor deployed models/rules, investigate performance issues (data quality, drift, edge cases), and iterate based on outcomes
Contribute to team practices: reproducible notebooks/code, documentation, and experiment tracking.

We are seeking an experienced Senior Full-Stack Engineer to join our development team. In this role, you will contribute to the entire product lifecycle, from participating in initial architectural discussions and tech-stack evaluations to the hands-on execution of complex features. We value collective intelligence, and you will be expected to bring your expertise to the table to help design scalable systems and support the team in maintaining high engineering standards.
Responsibilities
Architecture & Design: Actively participate in the design of new services and system components, providing input on scalability, reliability, and technical feasibility.
Tech-Stack Participation: Contribute to the evaluation of new tools, libraries, and frameworks to ensure our technology stack remains efficient and effective.
Feature Execution: Lead the end-to-end development of robust features, ensuring high-quality implementation across both front-end and back-end layers.
Peer Mentorship: Support fellow engineers through constructive code reviews, technical guidance, and collaborative problem-solving.
Continuous Improvement: Assist in identifying areas for technical improvement within our codebase and development processes, helping to implement best practices.
Agentic Development: Contribute to the team's agentic toolkit by designing reusable components for agent reasoning and skill execution.

We are seeking an Infrastructure Backend Developer to join a backend-only engineering team that owns some of the companys highest-scale and most business-critical services - the backbone of our product. The team is responsible for video ingestion of HLS streams, a video editing service that runs on CPU and GPU workloads in Kubernetes, and 20+ additional backend services. Our infrastructure runs 24/7 with elastic scaling that can grow to very high capacity during peak usage.
In this role, you will own outcomes end-to-end, mentor teammates, and drive both technical design and code reviews. You should be a methodical problem-solver capable of decomposing complex initiatives and prioritizing effectively. Above all, we value high-ownership, low-ego collaborators who bring positive energy to the team.
What youll do:
Design, build, and operate backend services and APIs at scale, with emphasis on reliability, performance, cost awareness, and operability in production.
Own projects end to end: clarify requirements with stakeholders, propose approaches, implement incrementally, and follow through on rollout, monitoring, and iteration.
Collaborate with Product, Operations, Account, DevOps, and engineering teams to deliver cohesive solutions for streaming ingestion, processing pipelines, and backend infrastructure.
Optimize systems for throughput, latency, resource utilization, and stability under spiky and peak traffic patterns.
Investigate and resolve production issues with a calm, systematic approach; improve observability and runbooks so incidents become easier to prevent and recover from.
Mentor engineers through pairing, design discussion, and feedback; setting standards and raising the bar.
Participate actively in agile planning, architectural conversations, and code reviews; contribute to technical review and sound engineering judgment across the team.
Stay current on relevant technologies (cloud, Kubernetes, streaming, data stores, performance engineering) and pragmatically adopt tools - including AI-assisted development where they improve velocity without compromising quality or stability.

What youll do:
Carry out analysis, design, development, and delivery of our sports products.
Design, develop, and maintain backend services and APIs
Set high coding standards and ensure best practices are followed across the backend team.
Lead the design, architecture, and scaling up of the group solution
Be a tech mentor for developers in the group.

What youll do:
Lead the development and delivery of backend services and APIs using Node.js, TypeScript, and NestJS, deployed on AWS ECS and Lambda.
Architect and maintain scalable microservices that handle live streaming workflows (AWS MediaLive, MediaConnect, MediaConvert), real-time event processing, and high-throughput API delivery.
Own and evolve the platforms monetization layer - Stripe billing integration, subscription management, payment webhooks, ad-serving pipelines (Google IMA), and paywall logic across channels.
Set high coding standards and ensure best practices are followed across the backend team.
Collaborate closely with frontend developers, DevOps, QA, designers, and product managers to deliver seamless end-to-end experiences.

In this role, you will translate high-level product and business goals into robust, production-ready solutions, working hands-on across the full lifecycle - from research and system design to deployment, monitoring, and continuous improvement. You will collaborate closely with Product, Platform, Data, and other R&D teams in a fast-paced, agile environment, ensuring that algorithms and software are seamlessly integrated into real-world, high-throughput systems.
You will combine technical leadership, architectural thinking, and people leadership to drive innovation, execution, and delivery, while shaping how intelligent, automated content is created and scaled across our companys products.
What youll do:
Lead and mentor a multidisciplinary team of algorithm and software engineers, fostering ownership, technical excellence, and professional growth.
Own the delivery of complex, end-to-end systems for automated content creation, from early design and experimentation through production deployment, monitoring, and iteration.
Drive the design and orchestration of agentic systems, working hands-on with the team to integrate ML models, business logic, and software infrastructure across research, engineering, and production at scale.
Translate product and business challenges into technical solutions, defining system architecture, prioritizing initiatives, and guiding execution in an agile environment.
Ensure production readiness and reliability, overseeing deployment, monitoring, performance, and continuous improvement of algorithms and services in a live environment.
Collaborate closely with Product, Platform, Data, and other R&D teams, aligning technical execution with product strategy and business goals in a multidisciplinary setting.
Continuously evolve technically and professionally, encouraging knowledge sharing, joint problem-solving, and awareness of emerging trends in ML, agentic systems, and large-scale software architectures.

We are hiring a senior/staff software engineer to help design and build core components of our next-generation knowledge retrieval system built for the AI era - search and retrieval infrastructure that powers high-quality, scalable, and enterprise-grade agentic systems. Youll build the framework that allows our customers to connect knowledge-synthesized from structured and unstructured data-to modern LLM-powered applications, leveraging the worlds best-in-class vector DB supporting semantic search and hybrid retrieval. This role is ideal for someone who loves backend system architecture, distributed systems, and applied AI infrastructure. It is a high impact role with significant ownership across architecture, performance, and system reliability.

Responsibilities:

Design and build scalable platform components leveraging advanced retrieval via query planning, semantic and hybrid search, metadata-aware search, and LLM generation

Design and build optimized indexing pipelines for structured and unstructured data

Build backend services for semantic and hybrid retrieval, knowledge graph construction, and retrieval orchestration

Improve retrieval quality through evaluation and observability frameworks

Design APIs for internal and external user and agentic consumers

Optimize latency, throughput and cost across large-scale inference and retrieval workloads

Drive technical direction for reliability and security

We are looking for an experienced Senior Software Engineer to join our team and help design, build, and scale the systems that power our products. In this role, you will work on high-impact projects that combine cutting-edge technology, complex distributed systems, and challenging algorithmic problems in transportation, routing, and navigation. You will have the opportunity to own features end-to-end, make key technical decisions, and shape the architecture and reliability of large-scale systems.
What Youll Do:
Architect, build, and scale robust, high-performance systems from initial design through deployment to production.
Own features end-to-end, from concept through development, testing, deployment, and maintenance, with strong accountability.
Develop features and APIs for concurrent applications in Golang.
Implement and improve geometric and graph algorithms to support core product
functionality.
Maintain Python and Java server applications, ensuring reliability and stability.
Write production-grade code that is efficient, reliable, maintainable, and optimized for performance.
Optimize application performance, uptime, and scalability, while maintaining high standards of code quality and thoughtful application design.
Run benchmarks and write analysis scripts for geographical data.

We are looking for a Senior Platform Engineer to join our engineering team. This is a hybrid role sitting at the intersection of backend software development and infrastructure engineering. You will own the design and delivery of platform capabilities - from backend services and APIs to the internal developer tooling, CI/CD systems, and Kubernetes-based infrastructure that power our engineering organization.

You will partner closely with software engineering teams, acting as both a builder and an enabler: shipping production-quality backend services while also raising the bar for developer experience, deployment reliability, and infrastructure scalability.

What You'll Be Doing

Design, build, and maintain production-grade backend services, APIs, and microservices.
Develop background workers, event-driven systems, and async processing pipelines.
Define and enforce backend architecture patterns - API design standards, service boundaries, data modeling, and error handling.
Collaborate with product and feature teams to deliver shared platform services (auth, notifications, integrations, etc.).
Integrate and operate AI agents within engineering workflows, using them as active development tools to accelerate delivery and improve code quality.
Contribute to the design and development of corporate AI-agent tooling - building the infrastructure, APIs, and platform abstractions that power our internal LLM-based tools.
Work closely with large language models (LLMs) - including prompt engineering, API integration, and building reliable pipelines around model inference.
Own and evolve our Kubernetes infrastructure, including Helm chart management, workload configuration, RBAC, and cluster operations.
Design and manage CI/CD pipeline templates shared across engineering teams - covering build, test, security scanning, and deployment stages.
Develop internal developer platform tooling that improves self-service capabilities and deployment velocity.
Drive observability best practices using tools like Datadog, OpenTelemetry, and Prometheus.

Required Senior Platform Engineer
Tel Aviv
We are using technology to transform transportation around the world. From changing a single persons daily commute to reducing humanitys collective environmental footprint - weve got huge goals.
As a Senior Platform Engineer, youll join our R&D center in TLV. Youll be part of a team of developers and devops engineers, directly contributing to our product by using cutting-edge technologies. Youll take a critical part in our mission to shape the future of transportation, affecting tens of thousands of riders daily worldwide.
The Platform Group is a cross-functional group dedicated to building and maintaining the robust foundation on which we operate. This team is responsible for designing, implementing, and managing cloud infrastructure, Kubernetes clusters, CI/CD systems, and tools that empower our development and production environments.
With a focus on enhancing developer experience, operational efficiency, and reliability, the team drives initiatives that:
Design and implement scalable and secure cloud infrastructure.
Develop and maintain Kubernetes clusters and related tools, ensuring high availability and performance.
Manage edge gateways, WAF solutions, and other critical infrastructure components.
Define and enforce CI/CD standards to streamline development and delivery workflows
Build tools and automation to enhance productivity across engineering teams.
Ensure the reliability, security, and scalability of production infrastructure.
What Youll Do:
Define infrastructure standards for dev teams
Design, implement and develop tools for controlling infrastructure of micro services
Build CI/CD automation and templates with GitLab
Build, maintain and operate AWS and Kubernetes infrastructure
Develop and maintain an in-depth understanding of the applications and architecture
Work in contact with other teams across the company to ensure smooth and documented changes to all environments
Identify and resolve problems in mission-critical services, automating remediation procedures to prevent recurrences
Bring ideas to the table, take ownership over their project timelines and deliverables and help us scale.

We are looking for a highly skilled Software Engineer to join our platform management team. This team is responsible for the development, scaling, and maintenance of our core platform, which serves as the backbone for our product offerings.

Youll work on backend technologies, designing and implementing features that drive our platforms growth, stability, performance and intelligence.

In this role, you will also help drive the integration of modern AI capabilities into our platform, including working with Large Language Models (LLMs), AI-driven workflows, and emerging paradigms such as Model Context Protocol (MCP).

If you are passionate about building scalable, high-performance systems, enjoy solving complex technical challenges, and excited about applying AI in real-world products, we would love to hear from you!

Key Responsibilities
Lead, design and build highly scalable and high-quality web applications by enforcing best practices around software engineering architecture and processes
Work with Model Context Protocol (MCP) or similar frameworks to enable structured interactions between systems and AI models
Raise the bar on engineering excellence by improving standard methodologies, producing best in class of code, documentation, testing, and monitoring
Identifying and resolving technical issues and performance bottlenecks.
Collaborate with cross-functional teams (including Product managers, DevOps, and Support) to ensure smooth feature releases and platform stability
Stay up to date with emerging technologies in backend engineering and AI/LLM ecosystems, and drive their adoption where relevant.