לוח משרות דרושים הייטק תוכנה בחיפה וסביבתה

We are seeking a capable and experienced C++ Engineer to build high performance Linux software with strong modern C++ and CMake expertise. The Engineer will participate in developing an advanced multi-disciplinary system, which includes AI modules and interaction with HW interfaces and sensors. Responsibilities:
* Design and maintain C++services/libraries on Linux with focus on performance and reliability
* Own build system using CMake targets, toolchains and presets
* Improve build speed and reproducibility
* Profile/optimize CPU, memory, I/O, and concurrency; debug multithreaded issues
* Write unit/integration tests; use sanitizers/static analysis
* Contribute to CI pipelines and developer tooling

abra R&D is seeking an Embedded Software Engineer We are looking for an experienced Embedded Software Engineer to join our engineering team and contribute to the development of complex, real-time embedded systems across multiple interfaces and platforms. Full-time + On Site position based in North Israel. Key Responsibilities:
* Develop embedded software for real-time operating systems (Linux, VxWorks, FreeRTOS)
* Work with hardware-software interfaces including BSPs and serial communication
* Perform full software lifecycle activities: design, coding (C/C++), testing, and integration
* Collaborate with hardware, firmware, and algorithm teams for seamless system integration

abra R&D is seeking an experienced Embedded Team Leader to join our Engineering team! Join Abra R&D as a Team Leader, driving the development of cutting-edge Embedded software solutions. In this role, you'll lead a talented team of developers working on high-performance, multi-interface systems. You'll be responsible for designing, building, and maintaining robust software systems, collaborating with cross-functional teams, and ensuring seamless integration with hardware platforms. Responsibilities:
* Lead and mentor a team of Embedded software developers.
* Design and develop high-quality Embedded software solutions.
* Implement and maintain multi-interface systems (serial interfaces, BSP, hardware integrations).
* Collaborate with hardware teams to optimize system performance and reliability.
* Plan and execute comprehensive testing strategies, including test scenarios and environments.
* Drive technical discussions, code reviews, and architectural decisions.
* Ensure delivery of clean, maintainable, and well-documented code.
* Monitor and resolve production issues, ensuring system stability and scalability.

Required Team Lead
What Youll Do:
As the Team Lead of the Account Management squad, you will guide a multidisciplinary team of backend and data engineers responsible for some of our most critical financial operations. Your mission is to build and scale the systems that keep our loan and card processes accurate, transparent, and resilient while fostering a culture of collaboration, ownership, and technical excellence within the squad.
In this role, youll not only manage talented engineers but also work closely with finance, risk, product, and compliance stakeholders to ensure our technology delivers real business impact. Your teams scope includes payment allocation, disbursement management, and the delivery of loan and card performance data products that support both internal decision-making and external reporting across regulators, partners, and investors.
Key Responsibilities:
Lead, mentor, and inspire a high-performing squad of backend and data engineers.
Own and evolve our loan account management systems and data products.
Ensure accuracy and automation in payment allocation and manage disbursement flows.
Deliver high-quality Loan Performance and Card Performance data products used across internal operations, executive dashboards, and external reporting.
Build scalable, reliable systems that support high transaction volumes with full financial integrity.
Partner with finance, risk, product, and compliance to align technology with business goals.

Required Team Lead
What Youll Do:
The Merchant-Ops squad is responsible for various domains and products that manage and support our merchants and their ongoing relationship with us. The team develops mobile applications, web platforms, and backend services, and is comprised of skilled backend, frontend, and data engineers.
As the Merchant-Ops Squad Lead, you will be responsible for the team's technical leadership, domain design, and day-to-day execution. You will collaborate closely with product managers and business stakeholders to define priorities and deliver impactful solutions that align with key business goals. We are looking for someone who can drive end-to-end ownership, balance business needs with strong engineering practices, and help shape the direction of our products.
Responsibilities:
Among your key responsibilities, you will lead a highly skilled team that architects and builds scalable systems that serve our customers and partners.
Lead the technical architecture and system design for merchant-facing products
Guide a multidisciplinary squad of frontend, backend and data engineers through implementation, delivery, and iteration
Work closely with product managers and business stakeholders to translate requirements into scalable technical solutions
Ensure development aligns with business objectives, long-term system health, and our engineering standards
Conduct and lead design reviews, code reviews, and performance optimization efforts
Drive a culture of technical excellence, ownership, and continuous improvement
Oversee system reliability, monitoring, and incident response within your domain.

Required Squad Lead
What Youll Do:
As the Card Risk Lead, you will manage a mission-critical team central to the Credit Card, our flagship product, that is responsible for developing and implementing our core risk management strategies. Leading a dynamic team of backend engineers and AI/ML specialists, your contributions will directly impact our key performance indicators and overall success.
This position is both strategic and hands-on, involving the architecture and implementation of scalable systems that power the core financial risk of the Card product.
This is a unique opportunity to join a fast-growing fintech company, influence the product at its core, and shape the way credit and risk are managed across our platform.
Among your key responsibilities, you will lead a highly skilled team that architects and builds scalable systems that detect and mitigate financial risks in real time.
Work closely with the business and senior leadership.
Collaborate with cross-functional teams, including AI/ML engineers, product managers, analysts, and other engineering squads, to align risk management strategies with business goals.
Proactively maintain the stability, security, and adaptability of the financial risk management systems.
Leverage data analysis and insights to ensure alignment with the companys growth and evolving business needs.
Respond quickly and proactively to emerging trends, delivering fast, impactful solutions that protect the product's financial success.

Were looking for a Senior Software Engineer to join a dynamic and high-impact team that owns the entire risk infrastructure behind our credit card. This includes real-time decisioning systems, integration with advanced ML models, risk engines, and credit strategies that directly impact our financial health and customer experience.
You'll collaborate closely with data scientists, backend developers, and product stakeholders to build systems from scratch, design complex architectures, and ensure scalable, high-performance infrastructure capable of making split-second decisions.
This is a unique opportunity to join a fast-growing fintech company, influence the product at its core, and shape the way credit and risk are managed across our platform.
Key Responsibilities:
Design, implement, and maintain large-scale backend systems for real-time risk and credit decisioning.
Build and optimize data pipelines and streaming systems that support our risk and ML models.
Work closely with data scientists to integrate predictive models into production.
Build microservices and internal tools that serve thousands of users and scale with company growth.
Own projects end-to-end from requirements and architecture to testing, deployment, and monitoring.
Collaborate with engineering and cross-functional stakeholders to ensure business alignment and smooth delivery.
Drive best practices in software engineering from code quality and security to performance and maintainability.
What Youll Bring:
A strong backend engineer with 7+ years of hands-on experience.
Experienced in designing and maintaining complex distributed systems.
Passionate about data and infrastructure: queues, stream processing, and data-centric microservices.
Excited to work on both product-oriented and infrastructure-oriented challenges.
Flexible, resourceful, and proactive.
Enjoy working closely with ML teams, learning new domains, and diving into unfamiliar territory when needed.

Required Front End Engineer
What Youll Do:
As a Frontend Engineer on the Card Team, you will take ownership of the primary platforms our customers interact with daily: our web portal and native mobile app. You will be responsible for developing new features and enhancing the functionality related to our credit card services. This is a key role where you will directly shape the user experience for hundreds of thousands of cardholders, building the next generation of features for our rapidly growing product.
Key Responsibilities:
Develop, and maintain the customer-facing web and native applications for our credit card product.
Take ownership of the end-to-end development of new credit card-related features, from concept to deployment.
Implement new functionalities, such as customer benefits, rewards programs, and innovative payment solutions.
Collaborate closely with backend engineers to integrate APIs and deliver a seamless, high-performance user experience.
Write clean, efficient, and maintainable code, adhering to best practices and team standards.
Contribute to a collaborative environment, sharing your expertise and mentoring other team members.

Required Data Infrastructure Engineer
What Youll Do:
Design, implement, and enhance robust and scalable infrastructure that enables efficient deployment, monitoring, and management of machine learning models in production. In this role, you will bridge the gap between research and production environments, streamline data and feature pipelines, optimize model serving, and ensure governance and reproducibility across our ML lifecycle.
Responsibilities:
Decouple data prep from model training to accelerate experimentation and deployment
Build efficient data workflows with versioning, lineage, and optimized resource use (e.g., Snowflake, Dask, Airflow)
Develop reproducible training pipelines with MLflow, supporting GPU and distributed training
Automate and standardize model deployment with pre-deployment testing (E2E, dark mode)
Maintain a model repository with traceability, governance, and consistent metadata
Monitor model performance, detect drift, and trigger alerts across the ML lifecycle
Enable model comparison with A/B testing and continuous validation
Support infrastructure for deploying LLMs, embeddings, and advanced ML use cases
Manage a unified feature store with history, drift detection, and centralized feature/label tracking
Establish a single source of truth for features across research and production across research and production.

We are seeking an AI/ML Lead Engineer to join our R&D division and drive the adoption of advanced machine learning and AI solutions across our financial and operational domains. In this role, you will design and implement intelligent models that increase efficiency in collections and payments processing and build AI-driven tools that enhance call center performance and agent productivity.
We are looking for a hands-on, independent team player with strong foundations in data science, computer science, and backend engineering, combined with excellent analytical and algorithmic skills. This role is diverse and impactful, spanning machine learning development, data analysis, and backend engineering, with the opportunity to shape our AI/ML strategy for servicing and operations.
As part of the R&D group, you will work closely with engineers and product managers, leading and implementing AI/ML initiatives that directly align with our business goals and innovation vision.
Key Responsibilities:
Lead the design, development, and deployment of ML models to optimize collections and payments processing.
Develop and integrate AI-driven tools to improve call center efficiency and agent productivity.
Collaborate cross-functionally with engineers, product managers, and stakeholders to translate business needs into technical solutions.
Drive data analysis and modeling efforts, leveraging advanced algorithms to uncover insights and improve decision-making.
Ensure scalability, quality, and compliance of all AI/ML solutions within the financial and servicing domains.
Stay up to date with emerging AI/ML technologies and assess their potential impact on the companys strategy.
Mentor and guide team members, fostering knowledge-sharing and technical excellence.

We seek a motivated and detail-oriented student to join our SW-ALGO team. In this role, you will be supporting the development and validation of signal processing algorithms and software, working mainly in C++, but also some Matlab and Python. You will collaborate closely with our SW algorithm engineers and system engineers. Our team works on cutting-edge digital communications projects, aiming to develop innovative signal processing algorithms and software.

This exciting part-time opportunity is based in our Haifa office and requires a minimum of two on-site workdays per week. Candidates should have at least four semesters remaining before completing their studies.

Responsibilities:
Assist in the development and testing process of SW algorithms, ensuring accuracy and reliability, including bit-exact testing.
Develop and maintain scripts and automation tools to streamline processes.
Participate in laboratory and experimental activities, including setup and data collection.
Debug complex SW issues through log analysis and on-target testing and find SW solutions.

We're seeking an exceptional Software Engineer to join our GenAI infrastructure team supporting Annapurna Labs' development teams. What makes this role unique is your direct impact on AI-powered innovation - you'll be building intelligent systems that drive the development of next-generation cloud technologies.
You'll work at the fascinating intersection of GenAI and cloud platform development, implementing automation solutions that directly enhance the productivity of our engineers. Unlike typical roles, you'll have the opportunity to influence both AI implementation and core architecture while collaborating with cloud technology experts.
The position offers rare exposure to latest cloud computing technology combined with the latest advances in artificial intelligence. You'll be part of a team that values technical excellence, working in an environment where your ideas can quickly transform from concept to reality.
In this role you will create solutions that directly shape the way we work. You'll develop smart automation systems, implement AI-driven tools and workflows and be part of AI transformation.

Key job responsibilities:
* Architect and deploy AI-powered solutions and AWS cloud services that transform development workflows.
* Lead technical innovation by driving architectural decisions and GenAI technology adoption.
* Champion AI transformation across engineering teams through education and hands-on implementation.
* Partner with elite cloud teams to identify opportunities and deliver advanced solutions.
* Ensure system excellence through participation in on-call rotations and reliability initiatives.

We are looking for world class researchers with experience in one or more of the following areas - autonomous agents, API orchestration, Planning, large multimodal models (especially vision-language models), reinforcement learning (RL) and sequential decision making.