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We are expanding multiple teams across our ML SW stack and look for hardworking and motivated people to join our team. Working with the worlds best companies that build sector-leading products based on our designs. Youll share ideas with and learn new skills from the best engineers in the world. We work in small teams, and your contributions matter and will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI!

Responsibilities:
You will work on developing/designing/architecting new features, mainly in the field of ML compilation technology and framework SW, kernel/user space driver stack, real time embedded software, test automation, and performance evaluation. As an experienced engineer you are expected to be able to take the lead on larger work-packages and mentor more junior engineers. You will also be working closely with the ML HW team to achieve optimal system partitioning.

We are looking for you who have strong analytical skills, the eagerness to find innovative solutions to sophisticated problems, and are comfortable working in a fast-paced and dynamic environment. You possess excellent interpersonal skills cooperating closely in diverse teams, striving together to fulfil common targets.

Our culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement.
You will be an essential part of this mission, using your technical expertise to demonstrate how our Data and Intelligence Platform can help customers solve their complex data challenges.
You'll work with a collaborative, customer-focused team that values innovation and creativity. You'll use your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward.
Join us in our quest to change how people work with data and make a better world!
The impact you will have:
Form successful relationships with clients throughout your assigned territory, providing technical and business value to our customers in collaboration with Account Executives.
Operate as an expert in big data analytics to excite customers about our company. You will develop into a champion and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the company Data Intelligence Platform.
Scale best practices in your field and support customers by authoring reference architectures, how-tos, and demo applications, and help build the company community in your region by leading workshops, seminars, and meet-ups.
Grow your knowledge and expertise to the level of a technical and/or industry specialist.

As a part of a geographically distributed team, you will work with multiple company teams and open source communities around the globe.

To be successful in this role, you will need to have motivation, curiosity, passion for problem solving, and experience with Linux technologies, Kubernetes and open source development models. We can hire you in any EMEA or APAC country where our company has a legal presence.

What you will do

Define, contribute to, and collaborate with Telco partners on Blueprints and system architectures pairing our platforms with Partner technology

Establish long-term technical relationships with key Telco partners, gathering and analyzing partner requirements and use cases to deliver meaningful business outcomes

Play an active hands-on role in researching and then architecting various OpenShift and Telco specific features into a unified solution, proactively test the involved technologies, experiment and provide demonstrations

Collaborate across teams (Product Management, Engineering, QE, Consulting, Support) to influence future directions and be an advocate for feature development and support needed for strategic partners next generation offerings

Evangelize the team's work through blogs, web postings, or conference talks

Collaborate with cross-functional teams to identify opportunities for AI integration, driving continuous improvement and innovation in engineering practices

We are looking for an experienced Architect to own and evolve the architecture of our companys cloud-based products. The role requires strong hands-on expertise in AWS-based SaaS platforms, the ability to design highly scalable and secure multi-tenant systems, and leadership to guide engineering and DevOps teams in building reliable cloud solutions while driving innovation through AI capabilities.



Key Responsibilities

Cloud Architecture & Ownership

Own the end-to-end architecture for all company cloud products
Design, plan, and implement cloud architectures aligned with business and technical requirements
Define cloud topologies addressing uptime, stability, redundancy, scalability, capacity planning, security, performance tuning, and observability
Ensure architecture supports multi-tenant SaaS environments
Design, Innovation & Roadmap

Drive technology and cloud architecture roadmaps
Bring innovative ideas and propose modern cloud-native solutions
Continuously evaluate new cloud services and technologies to improve platform reliability and efficiency



Implementation & DevOps Collaboration

Work closely with DevOps teams to ensure correct implementation, deployment, and operational excellence
Guide best practices for CI/CD, automation, monitoring, and incident response
Support R&D teams on cloud-related design and implementation topics
Reliability, Security & Optimization

Architect solutions focused on high availability, disaster recovery, and fault tolerance
Define security architecture, access control, data protection, and compliance standards
Drive cloud optimization for cost, performance, and scalability
Leadership & Execution

Lead, mentor, and influence engineering teams on cloud architecture best practices
Effectively multitask and context-switch across multiple initiatives and teams
Deliver high-quality outcomes under tight deadlines and pressure
Collaborate across teams with a strong sense of ownership and accountability

We are seeking an experienced Engineering/NPI tech-lead to take full ownership of the engineering aspects of ongoing production across all manufacturing lines (in-house and/or at subcontractors).

The role focuses on industrialization, production support, engineering data management, and continuous improvement. It includes responsibility for product transfer from R&D to production (NPI), manufacturing files, ECO execution and implementation, yield and quality improvement, and ensuring stable, efficient, and scalable production.

The role is hands-on and operations-oriented, bridging R&D, manufacturing, quality, and supply chain.





As part of your role, you will



Own and maintain Invencos product structure (product tree) for multidisciplinary hardware-software systems.
Lead R&D-to-production handover and ensure end-to-end NPI readiness and execution.
Define and implement production engineering processes integrated into R&D and Operations.
Build and maintain manufacturing, assembly, and test instructions and related engineering documentation.
Lead and own the companys PLM environment, including configuration management, traceability, and change control (ECO/ECR).
Manage AVL and supplier specifications together with Supply Chain and Operations.
Define and oversee product lifecycle and EOL processes, including tracking upgrades and field improvements.

Responsible for managing global vendors (manufacturers) and leading the procurement and supply chain teams. This role ensures strategic sourcing, contractual compliance, and operational excellence to achieve corporate objectives for quality, timelines, and cost efficiency.

Key responsibilities include overseeing procurement and logistics operations, driving cost-effective sourcing strategies, ensuring timely delivery, and optimizing supply chain performance in alignment with organizational goals.



Responsibilities



Develop and execute purchasing and logistics strategies.

Manage supplier relationships and negotiate commercial terms and contracts.

Identify, qualify, and select contractors/manufacturers, including market research, benchmarking, capability assessments, and due‑diligence processes.

Evaluate the professional level of suppliers - assessing technical skills, operational discipline, adherence to safety and quality protocols, and long‑term reliability.

Lead comprehensive negotiations covering pricing, service levels, delivery standards, and contractual obligations.

Prepare, draft, negotiate, and manage contracts throughout their lifecycle, ensuring continuous compliance with agreed service, performance, and quality standards.

Define, agree on, and implement operational work standards for all contractors and manufacturers, including ongoing monitoring and enforcement.

Oversee transportation, warehousing, and distribution activities.

Lead, mentor, and supervise procurement and logistics staff.

Collaborate with internal teams to meet business and operational requirements.

Monitor performance and drive continuous process improvements

Bachelors degree in business, Supply Chain, or related field.

The Electronic Technician/ RMA Specialist is responsible for advanced troubleshooting, testing, and repair of returned high‑reliability electronic products. The role includes performing failure analysis, supporting root‑cause investigations, generating reports.

Responsibilities

Perform diagnostics, testing, and component‑level repair of returned units per work instructions and quality standards.

Prepare failure analysis reports for internal and customer use.

Collaborate with Engineering, QA, and Production to resolve recurring issues and improve processes.

Lead and train RMA technicians and monitor team performance/metrics.

Ensure on‑time repair schedules and maintain accurate, audit‑ready documentation.

Required QA Automation Engineer
Description
We are helping financial organizations combat financial cybercrimes such as money laundering and fraud, and facilitating malicious crimes such as terrorist financing, narco-trafficking, and human trafficking, which negatively impact the global economy.
Join us as a QA Automation Engineer to conduct automated quality tests in a customer environment.
This role follows a hybrid model, involving being present at our Israel site three times a week, along with occasional travel to our customers' premises.
Responsibilities:
Perform E-2-E solution testing on testing and production environments.
Development of quality assurance and testing policies, standards, and procedures for the solution deployed for the customer.
Work with project stakeholders to determine the appropriate quality initiatives to implement during system development life cycles.
Conduct tests and analyze results to ensure that software meets or exceeds specified standards and/or client and technical requirements.
Coordinate and manage planning of system and/or acceptance tests within a development or integration project.
Build and deploy test pipelines and test processes in the CI/CD environment
Develop smart, stable, and clean code using Python and more - BE & FE tests with various tools
Take part in defining quality processes and standards to meet the company's quality vision
Work in an agile environment, a fast and challenging company with constant learning.

We are looking for a Senior Algorithm Engineer to join our team in Israel and help build the next generation of AI-driven financial crime detection.
In this role, you will work at the intersection of software engineering, algorithms, and large-scale data processing, building scalable production systems that power mission-critical financial crime detection solutions. You will design efficient architectures, develop high-quality code, and turn data-driven and machine learning models into robust real-world applications.
Technology: Python, PySpark, Apache Spark, NumPy, scikit-learn, TensorFlow / PyTorch, ETL pipelines, distributed systems, large-scale data processing
What youll work on:
Designing and developing scalable data processing pipelines and backend systems
Writing efficient, high-quality, and maintainable code in Python and PySpark
Optimizing large-scale data workflows and distributed computing processes
Implementing and integrating machine learning solutions into production systems
Translating analytical and algorithmic models into scalable applications
Improving the performance, reliability, and scalability of data and ML pipelines
Collaborating with data scientists, analysts, engineers, and R&D teams to bring solutions into production
Conducting code reviews and promoting software engineering best practices.

We are looking for an Algorithm Researcher to join our team in Israel and help build the next generation of AI-driven financial crime detection.
In this role, you will work at the intersection of research, mathematics, and advanced AI, turning complex theoretical concepts into scalable, production-ready algorithms. You will solve high-dimensional real-world problems and contribute directly to mission-critical systems used by leading financial institutions worldwide.
Technology: Python, NumPy, SciPy, Pandas, PyTorch / TensorFlow, LLMs, RAG, vector databases, large-scale data processing
What youll work on:
Designing and developing advanced algorithms for complex financial crime detection challenges
Translating mathematical models and research concepts into scalable production systems
Building and optimizing ML and LLM-based solutions for real-world deployment
Working with transformers, attention mechanisms, sequence modeling, and representation learning
Developing solutions using RAG, embedding models, vector databases, and generative AI evaluation frameworks
Designing AI agents, tool-using LLM architectures, and autonomous decision-making pipelines
Improving model accuracy, robustness, explainability, and inference efficiency
Collaborating with engineers, data scientists, and domain experts to bring research into production.

Design and execute research projects using advanced methodologies and tools to generate actionable insights that improve decision-making.
Analyze data and apply critical thinking to identify innovation opportunities and optimize research processes.
Prepare scientific reports and presentations to effectively communicate findings and recommendations to stakeholders.
Collaborate across teams and consult with experts, demonstrating adaptability, receptiveness to feedback.

We are looking for a highly motivated R&D Software Engineer with strong algorithmic thinking, problem-solving skills, and hands-on software development experience. While experience in signal processing, communications, DSP, or RF is a strong advantage, it is not a requirement.

This role is ideal for engineers who enjoy tackling complex problems, designing practical solutions, and turning ideas into working systems. You will work in a multidisciplinary environment at the intersection of algorithms, software and hardware, with real impact on end products.


Design and implement algorithms and software solutions for complex problems
Develop high-quality, production-ready code in C++ and Python
Take ownership of features and components from concept through implementation and validation
Build prototypes, run experiments, and iterate quickly based on results
Participate in code reviews, architecture discussions, and technical decision-making
Document designs, trade-offs, and implementation details