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We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions.
This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within as part of our business-facing technology organization.
A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable.

we are looking for a Senior Software Engineer with strong Python expertise and a passion for solving complex algorithmic problems. You'll work at the intersection of production software, algorithms, and quantum computing, collaborating closely with researchers to turn complex ideas and prototypes into robust, scalable production systems.
What You'll Do
Bridge research and production environments, turning research prototypes and algorithmic concepts into production-quality software.
Own software components end-to-end, from design and architecture through implementation, testing, performance optimization, and productionization.
Implement and integrate complex algorithms in close collaboration with research teams.
Develop and maintain company code across two key areas: research support systems that enhance our researchers' capabilities, and core product development code.
Design software that is robust, scalable, maintainable, and correct across performance-sensitive and edge-case-heavy scenarios.
Why is This Role Unique?
Core software engineering - The role is centered on software architecture, implementation quality, algorithms, performance, scalability, robustness, and maintainability. UI, database-heavy work, and DevOps are minimal to non-existent.
Algorithmic depth - Solve complex computational and mathematically intensive engineering problems, not just standard backend challenges.
Quantum computing focus - Work on emerging quantum computing technology. Prior quantum experience is an advantage, but is not required.
Research-to-production collaboration - Work directly with quantum physicists and researchers and turn research ideas into reliable production software.

As a quantum researcher, your main role will be to develop algorithmic and error-reduction tools to help our partners and customers achieve quantum advantage for their applications. You will develop our companys error reduction methods, including mitigation and correction, and apply them to different use cases by optimizing existing methods, developing new algorithms, and adapting these tools to the realities of running on quantum hardware. This includes taking into account application requirements, noise characteristics, device constraints, and performance on real quantum devices.
Responsibilities
Developing new error reduction methods, including mitigation and correction, for quantum algorithms.
Optimizing error reduction methods for different algorithms, applications, and hardware settings.
Developing new quantum algorithms to enhance performance on real quantum hardware with error mitigation.
Conducting research on applications of quantum computing with our companys partners, including implementing and running proof-of-concept demonstrations of these applications on real quantum hardware. 

Required Staff AI Research Scientist
Our research is driving the future of AI, from edge to cloud. We are building the foundations of tomorrow's intelligent systems, spanning next-generation processors and accelerators, innovative machine learning models, and advanced AI tools. As a Research Scientist, you will join a distributed team pushing the boundaries of what is possible at the intersection of AI, computer architecture, and compute. We seek curious, collaborative researchers who are passionate about turning research ideas into top-tier publications and real-world impact. We are looking for Research Scientists interested in foundational advances in machine learning, efficient inference, and physical AI. Research areas can include, but are not limited to:
Generative Modeling: Research into generative techniques for inverse problems, such as image denoising, super-resolution, reconstruction, and related tasks.
Efficient Inference: Research into including quantization, pruning, low-rank, and hardware-aware optimization.
Physical AI: Research into AI systems that perceive, reason, and act in the physical world.
Responsibilities:
This role involves conducting research across a wide range of AI topics, collaborating with researchers to advance the state of the art, publishing at top conferences, and translating research into real-world impact.

Required Staff GPU Verification Engineer
Join our GPU Hardware Verification team in Raanana, Israel, and help shape the future of the world's most widely deployed GPU architecture - Mali. As a Staff Hardware Verification Engineer, you will play a key technical role in verifying advanced GPU components and subsystems, working alongside architects, designers and verification engineers to deliver high-quality, industry-leading graphics technology. You'll contribute to complex verification environments, solve challenging technical problems and help drive continuous improvements to our verification methodologies and flows.
Responsibilities:
Develop and execute verification plans for advanced GPU components and subsystems.
Develop and maintain AI tools, agents, and skills to support our engineering teams and workflows.
Build, maintain and enhance robust verification environments using SystemVerilog and UVM.
Apply coverage-driven, constrained-random and, where appropriate, formal verification techniques to achieve comprehensive functional coverage.
Debug complex functional issues and work closely with Design and Architecture teams to identify and resolve root causes.
Contribute to block-level and system-level verification, including environment integration and regression analysis.
Improve verification methodologies, automation, scripting and continuous integration flows to increase quality and efficiency.
Participate in verification reviews and support verification sign-off activities.
Share technical knowledge and collaborate with colleagues across the wider GPU engineering organisation.

our company leads the category of Social Video Intelligence, giving global brands the power to see, understand, and control the life of their brand on Social Video. Video dominates. Text tools cannot see it. One viral clip can change everything.
We are seeking a Founding US Account Executive to play a key role in building our enterprise motion from the ground up.
What youll do:
Own the full sales cycle for enterprise customers, build relationships with leading global brands, and help shape our go-to-market strategy as we scale in the US.

We are seeking an experienced Project Manager to lead multiple high-budget projects in the air defense sector, overseeing all stages and ensuring successful delivery of business, financial, and technical objectives.
Responsibilities:

* Manage multiple high-budget security projects simultaneously, ensuring they meet scope, timeline, and budget requirements.
* Oversee projects at different life cycle stages, from initiation to closure.
* Coordinate and collaborate with internal and external stakeholders, including customers, suppliers, and cross-functional teams.
* Ensure all aspects of project management are addressed, including business, administrative, financial, and technical requirements.
* Negotiate with stakeholders to resolve conflicts and achieve project goals.
* Monitor and report on project progress, risks, and issues to senior management.
* Maintain excellent human relations and ensure high levels of service orientation and productivity.
* Foster a creative and solution-oriented environment to address project challenges.
* Travel within Israel to meet with customers and suppliers.