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We are seeking an experienced and highly driven Senior Hardware NPI Program Manager to lead the successful introduction of next-generation hardware products from concept through volume production. In this role, you will partner cross-functionally with Hardware Engineering, Operations, Product Management, and Quality teams to ensure flawless execution of product launches. The ideal candidate has a proven track record of managing complex hardware programs, driving schedules and deliverables across global teams, and enabling a seamless transition from development to scalable manufacturing. There will also be opportunities to manage internal HW,SW and Operational projects with partners.
Key Responsibilities
Own and drive the end-to-end NPI program lifecycle for hardware products, from concept through ramp to sustaining to EOL
Develop, manage, and track detailed project plans, schedules, risks, and dependencies across multiple functions and suppliers
Partner with Engineering to translate product requirements into manufacturable designs and processes
Coordinate with Supply Chain, Manufacturing, and Quality to ensure suppliers and factories are ready for builds and scale
Lead cross-functional meetings, program reviews, and executive updates to communicate status, risks, and recovery actions
Proactively identify program risks, define mitigation strategies, and drive accountability for execution
Ensure manufacturing readiness by leading build events (EVT, DVT, PVT, MP) and ensuring exit criteria are met at each stage
Align stakeholders across engineering, operations, and customer support for smooth product release into the field
Continuously improve NPI processes and best practices to increase efficiency and scalability.

We are looking to add a Bookkeeper to our growing team!
Responsibilities:
Assist with month, quarter, and year-closing procedures.
Ongoing Bank reconciliation preparation
Manage accounts payable processes: including purchase orders monitoring , invoice recording, and payment management
VAT and other governmental authorities reporting, recording, and balance reconciliations
Travel Reports management and surplus expenses calculation and analysis.
Assist and support the external audit process.
Support, build, and operate proper internal controls.

We are seeking a highly experienced Technical Field Architect to join our CTO team, working onsite in our Tel Aviv and Haifa offices in Israel. This is a critical role, facilitating communication and product adoption by the Office of the CTO and other field teams by working closely with our R&D teams to bring product development advances to the field.
The ideal candidate will have a deep understanding of both GTM and R&D processes, and be able to dive into the technical details of new products as they are developed. This person will communicate regularly with colleagues in the Office of the CTO, as well as sales engineering leaders and product management, to ensure rollout of releases and features are well-understood by ourfield teams and their customers. This person will work with the field and customers to ensure features are developed with customer requirements in mind, and work with engineering and architects to understand the detailed implementation of features.
Responsibilities:
Regularly meet with R&D teams responsible for feature design and development, ensuring alignment with customer requirements and field teams
Understand and help document product development and release processes and timelines
Develop and lead technical presentations for field teams
Work closely with colleagues in both R&D and the Office of the CTO to streamline communication and establishing close alignment
Install pre-release SW and give engineering feedback.

We are looking for experienced, creative and impact-oriented Algorithm Developers to join our team!
As an Algorithm Developer you will be responsible for building state of the art algorithms powering LLMs and agentic frameworks.
You will be part of a multi-disciplinary team that also includes engineers and product professionals, all working together to bring our products to life.
You will take part in the full life cycle of our development process, deeply understand the problem we are solving, come up with algorithmic approaches for solving these problems, devise strategies for collecting necessary training data, train and evaluate large language models and other machine learning models and also be in charge of deploying these solutions in production.
Role and Responsibilities:
Build the algorithms that power our various products
Develop production-grade solutions to challenging product-driven NLP tasks by combining language models, RL and classical ML/NLP.
Collaborate with product, sales and customer success teams to define success criteria and translate them into quantitative measures and objectives
Devise innovative strategies for collecting training and evaluation data
Train and evaluate models in realistic production scenarios
End-to-end ownership of the algorithmic components of our products, from design, through implementation and monitoring in production

We are looking for a software team leader to lead one of our core teams. He/she will be responsible for the delivery of innovative key features, guiding team members, improving existing products and features. He/she should be a great team player with the ability to develop strong working relationships and increase engagement / collaboration with peers to drive technology roadmaps.
Key Responsibilities
Responsible to contribute to products vision and subsequent execution
Oversee the overall development life-cycle, from design/planning, to implementation and support to maintain high standard of software quality
Provide technical leadership to team member while taking active part in the team tasks
Assigns tasks, reviews work and may contribute to employee performance appraisals
Work with internal teams, peers and customers to understand product requirements thus translating to successful software development.

Our team is looking for a Deep Learning Engineer.
Role and Responsibilities:
Develop Large Language Models as part of our applied research projects and in support of Platform, including designing, implementing and training massive-scale deep language models
Implement, optimize, scale and test new cutting edge ideas and architectures
Perform large-scale evaluations and comparisons of trained models across a range of benchmarks, as well as adding support for new benchmarks

We are looking for an exceptional MLOps Team Lead to own, build, and scale the infrastructure and automation that powers Labs state-of-the-art Large Language Models (LLMs) and AI systems.
This is a technical leadership role that blends hands-on engineering with strategic vision. You will define MLOps best practices, build high-performance ML infrastructure, and lead a world-class team working at the intersection of AI research and production-grade ML systems.
You will work closely with LLM Algorithm Researchers, ML Engineers, and Data Scientists to enable fast, scalable, and reliable ML workflows covering everything from distributed training to real-time inference optimization.
If you have deep technical expertise, thrive in high-scale AI environments, and want to lead the next generation of MLOps, we want to hear from you.