לוח משרות דרושים הייטק תוכנה בחיפה, לחיפוש זה נמצאו 202 משרות

This is a full-time on-site role located in Haifa for a SecOps professional. The responsibilities include maintaining and optimizing security operations, identifying and mitigating potential vulnerabilities, implementing security monitoring solutions, and responding to security incidents. The role involves working collaboratively with cross-functional teams to ensure the deployment of robust security measures and policies across systems and infrastructures.

This is a full-time, on-site role for a Data Engineer , located in Haifa. The Data Engineer will design, build, and maintain scalable data pipelines, implement robust Extract, Transform, Load (ETL) processes, and develop efficient data models to support business intelligence and data analytics needs. The role also involves building and improving data warehousing solutions and collaborating with cross-functional teams to ensure data integrity and optimize workflows.

Engage with prospect organizations to position Cloud solutions through strategic value-based solution proposals, references, and analyst data.
Work with Vendor account teams to develop and drive pipeline, providing additional guidance.
Serve as the primary customer contact during bid submission, pilot test, legal review, and procurement. Keep records of customer interactions and provide quarterly projections.
Building and cultivating lasting relationships.
Build a pipeline of customers within selected verticals.
Leverage Engineering and Marketing resources, and provide input on current collateral materials and ideas on how to improve them.

We are seeking for an Full Stack Developer.
This role requires Delivery and development of advanced mobile applications for IOS and Android.
Experience in mobile development on IOS + Android is a must.
Full-time position, Sunday-Thursday, from the organization's offices in Haifa in a hybrid model.

we are looking for a AI/ML Applied Researcher.
As AI Applied Scientist, youll be at the intersection of advanced technology and meaningful impact with clear business cases. You will have access to real-time (RT) big data from multiple Sensors & Data sources, and a chance to discover, explore, research, and develop cutting-edge solutions that directly impact industrial manufacturers around the globe. As part of the Applied AI/ML Science team, you will have the opportunity to continuously grow and learn while building and deploying advanced models directly into our products, and stay at the forefront of the technologies in the world, witnessing firsthand their impact on our customers.
A Day In Your Life:
Own the algorithm lifecycle from problem definition and data analysis to prototyping and delivering production-ready models.
Research, design, and build anomaly classification, predictive, insights, recommendations, and other types of models from various data sources, including sensor time-series data, textual data, images, and more.
You will Ensemble multi-modalities by exploiting and enriching the most from our data collections platform and feature extraction and store phases, using classic statistical methods, deep learning, Transformers, Graphs, Foundations Modules (as TSFM, Graph Transformer, TGNN), and any available technology to extract recommendations for taking real-world, life-changing actions.
Engage with customers and collaborate with our product team to develop innovative solutions utilizing new types of data.
Work with cloud-based big data platforms for training, distributed processing & experiments tracking (e.g., Metaflow, Grafana, Outerbounds, Databricks).
Partnering and contributing to modern technologies: LLMs and agents (GPT, Claude, Gemini), defining & building Gurdrails, reasoning chain as function call, planning, ML-based vectorization and embeddings, and stream analysis.
As part of our hybrid working policy, you will be expected to work from the office at least twice weekly, which includes at least one day in Haifa.

You are a Senior AI Software Engineer looking to join a GenAI Infrastructure team and build production-grade GenAI capabilities and the infrastructure behind them. You will be a hands-on engineer focused on AI agents, RAG pipelines, tool-calling workflows, backend services, data access layers, evaluation, observability, and reusable GenAI infrastructure used across product teams. You will not be focused solely on model research or prompt design. Instead, you will be a strong software engineer who can design, build, ship, and operate reliable AI-powered systems in production.
A Day In Your Life
Build reusable infrastructure, SDKs, and internal frameworks for AI-powered product capabilities.
Design and implement AI agents, RAG flows, tool-calling workflows, and LLM orchestration pipelines.
Build production-grade GenAI services, APIs, and backend infrastructure.
Integrate LLM workflows with internal microservices, data platforms, vector search, and event-driven systems.
Design secure data-access patterns that enforce authorization, tenant separation, and user-level scope.
Implement evaluation, tracing, monitoring, and quality-control mechanisms for GenAI systems.
Improve latency, reliability, fallback behavior, cost efficiency, and production readiness.
Work on customer-facing AI experiences, including conversational and proactive agentic product flows.
Collaborate with backend engineers, product managers, data engineers, AI/ML engineers, and domain experts.

Were looking for an IoT Embedded Linux engineer to design, build, and own the software stack that powers our edge devices in the field. Youll craft resilient Linux-based systems (from bootloader to application), ensure secure and reliable connectivity to the cloud, and work closely with hardware, manufacturing, and backend teams to deliver production-ready devices at scale.
A Day In Your Life :
Own the embedded Linux platform: BSP, kernel configuration, device tree, bootloaders (e.g., U-Boot), systemd services, and startup/upgrade flows.
Develop user-space applications using object-oriented principles (C++/Go/Rust/Similar) to implement core device logic and features, leveraging available libraries and frameworks.
Build production images using Yocto or Buildroot, manage layers/recipes, and maintain reproducible builds for multiple hardware variants.
Implement secure OTA updates (e.g., Mender, RAUC, SWUpdate), with A/B partitions, rollback, and signing-targeting zero‑touch fleet upgrades.
Harden devices for security: filesystem permissions, sandboxing (e.g., AppArmor/SELinux), secure boot/TPM, key management, CVE tracking, and update policies.
Deliver robust connectivity: Ethernet/Wi‑Fi/Cellular (LTE), BLE gateway roles, MQTT/HTTPS, VPN/WireGuard; optimize reliability, roaming, and reconnection logic.
Instrument and debug in the field: journald, core dumps, remote shell, metrics/health checks; trace with strace/perf/tcpdump and diagnose with Wireshark.
Collaborate across disciplines: work with HW, manufacturing, QA, backend, and product to define requirements, provisioning flows, and factory test automation.
Raise the bar on quality: CI/CD for cross‑compilation, unit/integration tests, static analysis, reproducible builds, and fleet-safe release practices.

As a Team Lead, you will lead and mentor a backend development team working on a complex, large-scale medical imaging platform. This role combines Agile leadership with hands-on technical contribution, driving high-quality software delivery in a regulated, customer-focused environment.

Your role

You will act as the Agile facilitator and technical leader of a Radiology Informatics backend team within Image Management in Israel. You will guide the team in delivering scalable, high-performance software that supports advanced PACS solutions used by hospitals worldwide.
Serve as Scrum Master, ensuring effective adoption and continuous improvement of Agile (SAFe) practices
Lead team planning and execution toward iteration and program objectives
Contribute up to 50% hands-on software development and drive technical decision‑making.
Drive complex development efforts and resolve technical blockers
Promote clean, scalable, high-quality code and strong engineering standards
Ensure compliance with development processes, quality metrics, security, and regulatory requirements
Encourage system thinking, domain knowledge, and strong customer focus
Provide clear accountability, remove impediments, and act as an escalation point
Drive innovation through technical reviews, best practices, modern engineering approaches, and the adoption of AI development tools to enhance productivity and code quality
Collaborate with global cross-functional teams and stakeholders
Develop team capabilities through mentoring, delegation, and structured execution.

We are looking for System Software Development Engineers to help define, shape, and integrate cutting-edge solutions for the next generation of our cloud platforms. As part of our innovative team, you'll be working at the forefront of semiconductor technology development using leading-edge manufacturing processes. We offer a dynamic, open environment where teamwork thrives and rapid innovation is the norm. This is a unique opportunity to join our elite early-stage team, where you'll help develop disruptive system architectures that will shape the future of cloud computing. As a key member of Annapurna Labs, you'll be part of Amazon's semiconductor division, working alongside industry veterans to create groundbreaking solutions that power tomorrow's cloud infrastructure.

Key job responsibilities
- Work in a Linux-based environment.
- Build and maintain Linux images integrated with testing software solutions.
- Design and develop automation infrastructure for executing hardware tests.
- Develop and maintain our self-service applications.
- Leverage our Web Services as part of software solutions.
- Collaborate closely with internal and external customers to gather requirements and deliver solutions.
- Participate in the full software development life cycle, from design to deployment and maintenance.

We are looking for Software Automation Engineer to help us develop a semiconductor platform based on a revolutionary architecture.

Take part in the development of products within a disruptive system architecture. Youll have the opportunity to work in a dynamic, open, fast-paced environment, developing the technologies that power the worlds largest cloud provider. We provide a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world.

Key job responsibilities
As Software Automation Engineer, you'll be responsible for creating ML (Machine learning) and HPC (High performance computing) automation and tools, create CI/CD flows and implement effective dashboards with high scale.

We are looking for a System Engineer with Software Engineering background to be part of defining, shaping and integrating solutions to next generation of our cloud platforms.

We are looking for an exceptional engineer to own the development, testing, and monitoring of the manufacturing health of Amazon Graviton server products. You will be part of a team integrating new silicon, hardware, firmware, and software into a revolutionary system architecture.

Key job responsibilities
Lead triage, debugging, and root cause analysis of systems in our data centers.
Enhance troubleshooting capabilities and drive closure of in-fleet problems.
Analyze customer workflows and requirements to provide targeted resolutions.
Collaborate with Annapurna Labs monitoring team and root cause teams to improve product quality and reliability in fleet operations.
Represent the customer voice by providing fleet operation insights and requirements to Annapurna Labs' ASIC design, software development, QA, and architecture teams.
Develop and maintain training materials, quality documentation, and collateral to improve in-fleet operations.
Design and implement tools and scripts to support projects and customize solutions based on requirements.
Travel as needed, approximately 2-4 times per year.

In this role you'll design and build features that shape how customers discover products - tailored to their preferences, helping them find exactly what they need, even before they know they need it. We're defining how LLMs integrate into real-time personalization, how noisy behavioral signals become durable customer understanding, and how AI-powered experiences ship reliably at scale. You'll work across multiple technical teams, ship iteratively, and see your work in the hands of customers quickly. This organization values experimentation, moves fast, and gives engineers real ownership over what they build.

We are looking for a Software Development Engineer with sound technical judgment and a bias for action who takes ownership of problems end to end, communicates clearly, and cares about operational excellence - not just launching features, but making sure they hold up at scale. Someone who naturally raises the bar for the team: mentoring junior developers, advocating engineering best practices, and thinking beyond the immediate sprint.

Key job responsibilities
- Design, build, test, and operate production AI features used by multiple teams and operating in our scale.
- Deliver end-to-end solutions with focus on maintainability, scalability, performance, and reliability.
- Collaborate with Product and Science to define experiences, run experiments, and iterate based on data.
- Build AI-powered experiences including personalized recommendations, relevance explanations, and knowledge-driven features using LLMs and generative AI.
- Define and implement measurement strategies including analytics events and experiment configurations to track engagement and retention.
- Navigate ambiguity and make sound technical decisions in a problem space where established patterns don't always apply.

We are looking for an Experienced HW SERDES Engineer to join Annapurnas SPIV (System Platform Interface validation) team.
As a member of the SPIV team, you will own End-to-end subset of system PCIe SERDES interfaces across range of products through product life cycle:
1. Validation and qualification.
2. Integration.
3. Deployment and post-deployment support.
4. Failure analysis.
5. Pre silicon activities for new technologies.
As owner, you will set the strategy for PCIe SERDES qualification over multiple platforms, ensure the design worked well and drive complex system debugs involving HW and FW components.

You will define NPI practices and engage in pre-silicon efforts to explore new technologies and mitigate integration risks. You will enhance SERDES qualification results with large scale customer performance analysis to discover SERDES life-cycle issues and mitigate them.

This is a fast-paced, intellectually challenging position, and you will work with thought leaders in multiple areas of technology. We are changing industry, and we want individuals who are ready for this challenge and want to reach beyond what is possible today.

Key job responsibilities
- Approve future products PCIe SERDES technologies.
- Define new products SERDES qualification and validation strategy and lead the execution.
- Engage integrations of Annapurna Labs products with other vendors PCIe HW components.
- Support ongoing integrations of PCIe SERDES in new products.
- Lead triage, PCIe SERDES debug and root cause analysis of systems in AWS data centers.
- Drive and maintain training, quality documentation and collateral to improve in-fleet operation.

We are looking for System Software Engineer to help define, shape, and integrate advanced solutions for the next generation of our cloud platforms.

Join our dynamic System Software team in creating innovative software solutions that power our product development lifecycle from conception to deployment. You'll develop critical tools that ensure product excellence across design, validation, manufacturing, and production environments


Key job responsibilities
Design and develop software tools for all product development stages (card level, rack level).
Collaborate with hardware engineers, firmware developers, and system architects.
Create and maintain debugging tools and utilities
Develop comprehensive documentation and provide training for tools.
Optimize testing and validation processes for coverage, speed, efficiency, and resource utilization.
Research and implement new technologies to enhance the testing ecosystem.
Support critical system troubleshooting and issue resolution.
Participate in design reviews and provide technical guidance on testability.