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

תיאור התפקיד:
location: misgav (gush segev) or the krayot area
we are looking for an experienced it architect to join our team and lead the design of end-to-end it infrastructure solutions for complex technological projects.
key responsibilities
design end-to-end it infrastructure architectures and solutions, including hld and lld documentation.
evaluate new technologies, conduct pocs, and develop reusable infrastructure solutions.
provide architectural guidance throughout the project lifecycle, from initial planning to delivery and implementation.
conduct technical reviews, resolve engineering challenges, and ensure alignment with organizational standards.
collaborate with development, devsecops, cybersecurity, it infrastructure teams, vendors, and technology partners.

We are looking for a highly motivated backend software engineer specializing in creating high-scale, distributed backend systems.
You must demonstrate strong software engineering skills, excellent interpersonal communication, extreme ownership, and the ability to accept and give meaningful technical feedback.
You will be responsible for designing architecture, writing correct, robust code, maintaining and improving existing functionality, and shipping new features.
You will work as part of a Scrum-Agile cross-functional team and collaborate with front-end engineers, quality engineers, product managers, and more.
The platform you help us build will scale novel functionality to millions of our users worldwide.
Our team strives to set the bar for real-time, high-scale, mission-critical trading systems. We want to work with people who are excited by this goal and have the talent to deliver on it.
What Youll Do - Responsibilities:
Design and build scalable, high-availability mission-critical systems and APIs
Drive the migration of large-scale, distributed trading services towards cloud-native microservices
Solve problems using distributed, asynchronous messaging
Tackle technical challenges - performance, fault-tolerance, security, and live production issues
Work closely with product, DevOps\SRE, and infrastructure teams - we practice full-cycle development where developers own and operate what they build.
Mentor Jr engineers as a Senior member of the team
Compensation and Benefits:
Along with competitive pay, as a full-time employee, you are eligible for the following benefits:
Yearly Bonus and RSU grants based on performance
Online\On-Site Courses, attend public conferences, and many other growth and learning opportunities.
Health Insurance
Gym, Pilates, Yoga, and others
Cibus\10Bis
Tickets to our sponsored team's games
Social events
Where you'll be:
We offer a hybrid work policy : 3 on-site plus 2 flexible days.
Work is located at the Matam, Haifa R&D Center.

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are looking for a hands-on engineer to join our Platform Architecture post-silicon team. This team analyzes and tunes the performance and power of Apple Silicon for the Mac, and takes the learnings and measurements to drive SoC architecture change for future chips. If you work comfortably across the hardware/software stack, and the idea to bring up brand-new chips that just arrived from the fab does not scare you but gets you excited, when we would like to hear from you.

You will join a multidisciplinary team of architecture, silicon design, and system software engineers driving the performance and energy efficiency of Apple SoCs. The work spans application software, system software, SoC architecture, and microarchitecture, and sits at the intersection of measured silicon behavior and forward-looking architecture definition. You will build a deep understanding of how current and planned Apple products behave end to end, and use it to influence both hardware and software direction.

Responsibilities
Tune and define SoC memory and fabric performance state controllers on unreleased silicon, and propose improved control and observability mechanisms for future generations.
Plan and execute architecture studies that drive performance and energy-efficiency decisions for future SoCs.
Build tools, workflows, and automation for repeatable analysis of simulated and measured data, including terabyte-scale traces from prototype devices.
Architect hardware features that improve workload characterization and enable robust online control of power and performance.
Debug complex interactions between system software and SoC hardware.
Assess the feasibility of future use cases, SoCs, and products.
Communicate findings across chip design, architecture, software, and system teams to enable data-driven decisions.

The candidate will own data analysis improving card and server production health and support new servers ramp up in the lab for development and integration purposes.

This role offers hands-on exposure to production-scale server infrastructure, real-world data engineering, and cutting-edge AI/ML integration all within a fast-paced, high-impact hardware program.

Key job responsibilities
As a Student Engineer in the Nitro team, you will assist with data infrastructure across development/production servers and new server integrations in lab environment for accelerator card-to-server platforms. Your work will span three core areas:
- Data Analytics & Dashboards - Build and maintain databases and dashboards that track manufacturing and production metrics for servers in fleet, including yield, first-pass rate, cycle time, and defect analysis. You will work with real production data to generate actionable insights that drive process improvements and support decision-making across the integration team.
- AI-Powered Data Capabilities - Assist in ramping the team's AI capabilities by incorporating machine learning and automation into data analysis workflows and database operations from anomaly detection and trend analysis to intelligent alerting and predictive insights that accelerate issue identification and resolution.
- New Server Integration & Lab Support - Support the integration of new server platforms by assisting with lab ramp-up activities, including server bring-up, firmware and hardware issue triage, quick-turn debug cycles, and development environment readiness. You will work alongside experienced engineers to help accelerate the path from first power-on to stable, repeatable operation.

We are looking for talented engineers to join the Pre-silicon Verification team and help us technically lead the challenges of the next decade, developing a semiconductor platform based on revolutionary architecture, and taking part in the development of cutting-edge products within a disruptive system architecture.
Youll have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment.

We're looking for a System Engineer with Software or Hardware 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 our 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 AWS 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.

As a System Verification Software Engineer, you will join a unique team that works at the heart of chip development, at the HW/SW boundary, collaborating across teams to ensure our semiconductor platforms meet the highest standards before they reach production, as we lead the market with our cutting-edge devices.
Youll be part of a team that verifies Graviton chips across emulation, silicon, and AWS production fleets-developing the tests, automation, and debug tooling that give us confidence our features function correctly on real hardware.

Key job responsibilities
* Verify and validate Graviton chips in emulation, silicon, and post-production.
* Develop tests that ensure our features function as intended.
* Build automation and debugging tools for silicon regressions and bring-up.
* Collaborate with hardware design and software teams to identify, analyze, and resolve design issues and verification gaps.
* Debug failures across diverse platforms (emulation and silicon).

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 at Amazon 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 growing and we're hiring people who are inspired by the opportunity to define and build the next generation semiconductor platform.

Key job responsibilities
* Be integrated part of the automation infrastructure team.
* Develop state-of the-art automation infrastructure solution for multiple SW projects.
* Provide solutions which enables automation flows on cloud infrastructure.
* Provide service and support for automation developers.

abra North is looking for an experienced Priority Developer to join a growing ERP Priority development team, working with a wide range of clients and projects. Work Model: Hybrid – full remote or from our northern offices in Alonim / Kiryat Shmona Role Description:
* Development of modules and solutions on the ERP Priority system
* Development, maintenance, and enhancement of existing code, including understanding complex code and modifying it according to requirements
* Development of procedures, screens, reports, programs, and interfaces
* Development of API / Web Services interfaces
* Analysis of technical requirements and translation into system-level solutions
* Performance improvement and optimization of existing developments
* Ongoing work with project managers, implementers, and clients
* Working in a multi-tasking environment, meeting deadlines, and collaborating within a team