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We are looking for a 3D Algorithm Developer, who will be challenged by solving problems from the real world using Computer Vision, multi-sensor reasoning and 3D reconstruction. Our mission in the Algorithms department has a significant impact on autonomous driving technologies and on saving lives.
In this position, you will combine algorithmic research and development in Python, you will be responsible for both maintaining the product and developing new features. As an Algorithm Developer, you will learn and develop new algorithms which can address new problems and challenges to solve as they arise.
The work at our algorithms department is dynamic and includes hands-on work in running the process from the early stage of research to bringing the product to production, in collaboration with other teams.
What will your job look like:
Your role will include algorithm development in the areas of computer vision (both classical and learning-based) and 3D reconstruction.
You will develop primarily in Python, taking part in both maintaining existing products and developing new features.
Finally, you will need to learn and develop new algorithms that can address new problems as they arise.

We are looking for passionate and bright individuals who wish to take part in design, development and all technical-related aspects of INFINIDATs core components. The selected candidate will be part of a professional team that develops in C ++/ Python over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.
Responsibilities:

* Design and development of C ++/ Python code according to product requirements.
* Addition of new features, as well as maintenance, refactoring and improvement of existing products and code bases.
* Accountability for code standards, quality and performance.

frontend Developer React.js & Next.js We are looking for a talented and experienced frontend Developer to join our team and take a key role in building innovative digital products using cutting-edge technologies.

we are looking for a rt Embedded software engineer Join a talented software team developing cutting-edge Real-Time Embedded systems for advanced maritime platforms. This is a hands-on development role involving Real-Time Embedded systems integrated into maritime platforms. What Youll Be Doing:
* Developing software for Real-Time Embedded systems in VxWorks and Linux environments.
* Designing and implementing interfaces with various onboard systems.
* Participating in all stages of the development lifecycle, including integration and testing.
* Collaborating with multidisciplinary teams including system engineering, hardware, and QA.
* Analyzing, implementing, and documenting diverse software solutions in alignment with system requirements.

The Global Support Manager will be based at our Israel offices, responsible for leading the entire global support operation. This vital role involves managing operational excellence, optimizing support processes, and driving a customer-first culture to ensure outstanding service delivery. The ideal candidate is a proactive leader, able to engage cross-functional teams, senior management, and customers with clear communication and strategic focus.
Responsibilities:

* Lead and manage the global support operation, overseeing cross-regional teams to ensure efficient and unified service delivery
*  Develop and continuously improve support processes, SLAs, and KPIs aligned with company goals and customer expectations
*  Collaborate closely with Product, DevOps, and Engineering teams to resolve escalations and enhance the customer experience
*  Oversee team performance, provide coaching, and manage recruitment, training, and development to maintain high operational standards
*  Drive customer satisfaction by ensuring fast and effective issue resolution, and proactive communication with key clients
*  Prepare and deliver detailed reports on support metrics and trends to senior leadership
*  Establish and maintain strong relationships with customers, internal stakeholders, and support teams worldwide
*  Manage talent acquisition and onboarding of support personnel to scale global operations

Crossix Data Platform is a framework which connects huge patient healthcare data from multiple sources in a privacy safe method on a daily basis to maintain a current view of the US healthcare market. The result enables two core businesses within our company: Crossix Analytics which is dedicated to advancing healthcare marketing with analytics, innovative planning, targeting, measurement, and optimization solutions; And Compass, which enables clients to study and analyze deidentified healthcare data for various needs. Both businesses are positioned at the center of big data, innovative technology and provide most life sciences companies with insights to help make strategic business decisions and drive improved patient outcomes.

As a tech lead, you will take a leading part in designing and building the infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark and other technologies and mentor team members.
What You'll Do
Design and develop platform capabilities for scalable data products tailored to enterprise customers
Collaborate with Product Managers, Software Engineers, and DevOps Engineers to gather requirements, create system and feature design documentation, and implement solutions across diverse environments
Write Java-based back-end code, leveraging Spark, various cloud services, and relational databases
Partner with the production team to define solutions, monitor services, troubleshoot issues, and identify cost optimization opportunities
Mentor and guide team engineers, providing support in their daily tasks and development
Build and use monitoring infrastructure to track services, troubleshoot problems, and optimize performance, throughput, and costs
Address privacy challenges to ensure the protection and confidentiality of consumer and patient data

The SAP FI Implementer works with business users from all BUs to identify business requirements, recommend process improvements, design solutions to meet requirements, and configure SAP system based on functional requirements. The SAP Finance Implementer will support ERP Finance processes to enhance the value received from Deltas platform.
Duties & Responsibilities
* Customizing and expanding the system according to customer requirements.
* Supporting, testing, training, and ongoing monitoring of the system.
* Providing ongoing support to users.
* Writing functional specifications, business processes and their implementation in the system, including cooperation with the development team.
* Analyze integration requirements and work with other systems.
Hybrid position:
Onsite

We are looking for a proactive and detail-oriented Junior SAP MM Implementer to join our SAP S/4HANA project team. You will support the end-to-end implementation of the Materials Management (MM) module and contribute to post-go-live stabilization, enhancements, and user support.
Key Responsibilities Project Implementation Support
* Assist in the configuration, testing, and deployment of SAP MM processes within the S/4HANA landscape.
* Support data migration activities (master data, vendor, material, purchasing info records, etc.).
* Participate in UAT cycles, issue resolution, and documentation.
* Work closely with the functional team to understand business requirements and translate them into system solutions. Post Go-Live Support
* Monitor MM-related transactions, interfaces, and batch jobs post go-live.
* Act as first-line support for business users resolve incidents, troubleshoot errors, and escalate when necessary.
* Analyze tickets to identify root causes and contribute to continuous improvement.
* Assist in minor enhancements, change requests, and SAP notes/application of OSS. Collaboration & Communication
* Work with cross-functional teams (O2C, R2R, MDM, P2E etc.) to ensure process integration.
* Provide end-user training and support documentation as needed.
Hybrid position:
Onsite

The Ecosystems Engineering group is seeking a Principal Software Engineer to join our rapidly growing team. This is a game-changing opportunity to join an open-source AI platform that harnesses the power of hybrid cloud to drive innovation. In this role, you will work with a diverse team of highly talented engineers on designing, implementing, and productizing new AI solutions, with a focus on deep integration of the AI stack, hardware accelerators, and leading OEMs and Cloud Computing Service Providers (CCSPs).

You'll play a critical role in shaping the next generation of hybrid cloud platforms by directly contributing to our innovative AI and Edge products. This is your chance to be at the forefront of AI's exciting evolution, joining an ecosystem that champions continuous learning, career growth, and professional development. You'll also collaborate closely with product management, other engineering teams, and key partners and lighthouse customers.

What You Will Do:

Architect and lead the implementation of new features and solutions for our AI and Edge products.

Explore deep code integration into various products, ensuring optimal integration between the company`s portfolio, hardware accelerators and partners.

Provide technical vision and leadership on critical and high-impact projects, ensuring non-functional requirements including security, resiliency, and maintainability are met.

Integrate software that leverages hardware accelerators (e.g., DPUs, GPUs, AIUs) and perform performance analysis and optimization of AI workloads with accelerators.

Work with major AI and hardware partners such as NVIDIA, AMD, Dell, and others on building joint integrations and products.

Collaborate closely with UX, UI, QE, and cross-functional teams to deliver a great experience to our partners and customers.

Coordinate with team leads, architects, and other engineers on the design and architecture of our offerings.

Become responsible for the quality of our offerings, participate in peer code reviews and continuous integration (CI), and respond to security threats.

Mentor, influence, and coach a distributed team of engineers, contributing to a culture of continuous improvement by sharing recommendations and technical knowledge.

Our team, a vital part of the Telco Verification Pillar, is developing and operating a cutting-edge CI/CD service to empower our Testing Teams with enhanced automation capabilities. As a Principal Software Engineer specializing in Test Automation, CI/CD, and DevOps, you will be instrumental in ensuring the quality, reliability, and efficiency of this critical service. You will collaborate closely with cross-functional teams to design, implement, and maintain robust automated testing frameworks, continuous integration/continuous deployment pipelines, and best-in-class DevOps practices.

What you will do:

Design, implement, and manage end-to-end CI/CD pipelines to automate build, test, and deployment processes.

Foster seamless collaboration with development, QA, and operations teams to fully integrate testing and deployment workflows.

Proactively monitor and analyze test results, identify root causes of issues, and work collaboratively with development teams for timely resolution.

Develop and maintain highly scalable and resilient infrastructure as code (IaC) using tools like Ansible or similar industry-standard solutions.

Implement and manage containerization and orchestration solutions using Docker and Kubernetes, with OpenShift knowledge being a significant advantage.

Identify and address test coverage gaps within existing test pipelines, proposing and developing new automated tests in close collaboration with Functional Testing (FT), System Testing (ST), and Solution Lifecycle Management (SLCM) teams.

Ensure the highest standards of security, scalability, and reliability for all CI/CD and DevOps processes.

Continuously research and integrate industry best practices and emerging technologies in test automation, CI/CD, and DevOps.

Act as a mentor and provide technical guidance to junior engineers, fostering a culture of best practices and continuous learning.

Leverage AI-driven insights to optimize test execution, prioritize critical test cases, and reduce overall testing cycles.

Integrate AI/ML models into test automation frameworks to enhance test case generation, anomaly detection in test results, and intelligent defect prediction.

We are looking for a Software Engineer with Kubernetes and MLOps (Machine Learning Operations) experience to join our rapidly growing engineering team. Our focus is to create a platform, partner ecosystem, and community by which enterprise customers can solve problems to accelerate business success using AI. This is a very exciting opportunity to build and impact the next generation of hybrid cloud MLOps platforms, contribute to the development of the RHOAI product, participate in open source communities, and be at the forefront of the exciting evolution of AI. Youll join an ecosystem that fosters continuous learning, career growth, and professional development.

As a core developer for one of our OpenShift AI teams, you will have the opportunity to actively participate in one of our component teams as well as the affiliated open-source communities. You will work as part of an evolving development team to rapidly design, secure, build, test, and release new capabilities. The role is primarily an individual contributor who collaborates closely with other developers and cross-functional teams. You should have a passion for working in open-source communities and for developing solutions that integrate us, open-source, and partner technologies into a cohesive platform.

What you will do:

Architect and lead implementation of new features and solutions for RHOAI.

Innovate in the MLOps domain by participating in upstream communities.

Provide technical vision and leadership on critical and high impact projects.

Ensure non-functional requirements including security, resiliency, and maintainability are met.

Write unit and integration tests and work with quality engineers to ensure product quality.

Use CI/CD best practices to deliver solutions as productization efforts into RHOAI.

Contribute to a culture of continuous improvement by sharing recommendations and technical knowledge with team members.

Collaborate with product management, other engineering and cross-functional teams to analyze and clarify business requirements.

Communicate effectively to stakeholders and team members to ensure proper visibility of development efforts.

Give thoughtful and prompt code reviews.

Represent RHOAI in external engagements including industry events, customer meetings, and open source communities.

Mentor, influence, and coach a distributed team of engineers.

The role consists of managing varied data solutions, databases, data processing tools, microservices, CI/CD pipelines, and cloud services on AWS cloud. You will be responsible for designing and maintaining these platforms, and get first hand experience with challenges around data, scale, architecture, creative solutions and high quality deliveries in a wide welcoming team.

Key Responsibilities:
Carry out DB administrative tasks (performance tuning, cost efficiency, observability etc..).
Design, build and enhance micro-services (Python / Java).
Promote data driven culture with CI/CD pipelines, serverless components and more.
Create and manage resources with IaC methodology (Infra as code) .
Support production systems (24/7).
Working with Data processing pipelines with external tools (e.g: AirFlow).

As a Data Scientist, you will be a part of a large and innovative data science group, working closely with Dev teams and product managers, to create business value through Data Science and Machine Learning methods using cutting edge technology, on large and diverse datasets.

The Role consists of understanding customers' needs and product requirements, exploring data, identifying and defining functionality from conception to delivery, creating and improving algorithms and ML pipelines, building measurement tools, providing data visualizations, and more.

Deliver end-to-end ML products - including data processing, problem analysis, research, model development, validation and metrics, implemented in production and with online testing.