דרושים » מוצר » Technical Product Manager

Lead the Product Management function across multidisciplinary development teams, driving best-in-class product ownership methodologies from concept to launch. Act as the strategic commercial bridge between global field teams and R&D, evaluating business needs for ROI and strictly enforcing R&D intake phase-gates to manage WIP limits. Own and author the Product Requirements Document (PRD) & Marketing Requirements Document (MRD), seamlessly translating complex clinical and business workflows into definitive technical product specifications. Drive usability engineering and human factors testing (IEC 62366-1) specifically tailored for complex medical aesthetics devices Cross-Functional Collaboration with system Engineering, Hardware, Software, V&V, Clinical and Regulatory teams to ensure product vision is executed without scope & feature creep. Play a pivotal role in shaping innovative, broad, and technologically advanced medical products. Ensure alignment between product management and regulatory/clinical/quality requirements. Recruit, mentor, and manage a high-performing team of Product Managers / Product Owners as the department scales Standardize product management frameworks, methodologies (for PRDs/MRDs), and lifecycle processes within the R&D division

we are seeking a Lead System Architect to join our system architecture team and help define the next generation of our AI-SuperNIC scale-out chip.
AI scale-out communication is a critical element in modern data centers, and emerging standards such as Ultra Ethernet aim to address this challenge. This role focuses on defining a high-performance Smart NIC architecture optimized for GPU-centric AI workloads, with emphasis on low-latency, high-bandwidth data movement.
You will work across hardware and software domains, collaborating closely with AI, platform, driver, and VLSI teams to design a competitive scale-out networking solution.
Responsibilities:
Lead the software architecture and technical roadmap for or next-generation ultra low-latency AI-SuperNIC software stack, including drivers, firmware, libfabric, and libibverbs.
Define the partitioning and interfaces between hardware, firmware, kernel drivers, user-space libraries, and AI frameworks.
Lead the design and implementation of high-performance networking, RDMA, and GPU-direct communication capabilities.
Drive software support for emerging technologies and standards such as UEC, UALink, MRC and RoCEv2 ecosystems.
Work closely with hardware, system architecture, and VLSI teams to optimize performance, scalability, and feature delivery.
Define performance goals and lead profiling, benchmarking, and optimization efforts for GenAI and distributed AI workloads.
Collaborate with customers, partners, and open-source communities to ensure ecosystem compatibility and adoption.
Mentor software engineers and provide technical leadership across firmware, driver, and networking software development

we are looking for a Senior Machine Learning Engineer to work on LLM-based systems with a strong emphasis on integration, end-to-end workflows, and production readiness. This role combines performance optimization (prefill/decode, throughput, latency) with hands-on work integrating components across the AI platform.
A significant part of the role involves building end-to-end integration flows and tests, particularly around token generation pipelines and system orchestration, as well as contributing to intelligent system behavior such as hardware selection and execution strategies. The role also includes developing system-level logic in Python for multi-tenant management, caching strategies, and service lifecycle management across the platform.
***This is not a Data Science position***
Responsibilities:
Build and maintain end-to-end integration flows across the AI inference pipeline (serving, orchestration, APIs, and infrastructure)
Design, implement, and optimize LLM inference workflows, including prefill and decode stages
Improve system performance with focus on throughput, latency, and interactivity
Write production-grade components in Python and integrate them into the broader system
Contribute to system-level logic such as smart hardware selection and execution strategies
Integrate models (open source and custom), services, and APIs into cohesive, reliable end-to-end application pipelines

Main Responsibilities:
Manage, planning and execution of components level and E2E system tests with documented test results.
Participate in the verification and validation testing of the current and future products.
Ownership of designing, planning, and writing verification and validation testing documentation for existing and future products/features/modules, according to requirements.
Provide effort and time estimations of testing process for existing and future products/features/modules.
Lead the maintenance and definition of SW life-cycle related tasks including documentation and other regulation related issues.
Collaborate with Development, Applications, Project Management and Customer Support team members throughout the lifecycle of a project/product.
Assist other testing engineers with testing assignments and/or training.
Participate in customer and field issues support investigation.

As SW Engineer you will participate in software development of a state-of-the-art medical robot, in a fast growing and dynamic environment.

Your day-to-day will include all stages of software development lifecycle - requirements definition, design, implementation, integration, testing and maintenance.

Main Responsibilities:
Participate in the full development cycle - specification, design, deployment and maintenance of a wide variety of SW modules (these include - UI/UX, 2D and 3D graphics, Robot communication protocols, application services and business logic and more.
Provide ongoing maintenance, support and enhancements in existing systems and platforms.
Collaborate cross-functionally with data scientists, business users, project managers and other engineers to achieve elegant solutions.
Provide recommendations for continuous improvement.
Work alongside other engineers on the team to elevate technology and consistently apply best practices.
Document processes and maintaining software development records, following the software development lifecycle.
Maintain and improving existing codebases and peer review code changes.

Main Responsibilities:
Participate in the entire development cycle - specification, design, deployment, and maintenance of various SW modules (these include - UI/UX, 2D and 3D graphics, Robot communication protocols, application services and business logic, and more).
Act as a Scrum master of the SW and V&V team. Facilitate the complete development process of the group. Resolve impediments and conduct all Scrum ceremonies.
Collaborate cross-functionally with data scientists, business users, project managers, and other engineers to achieve elegant solutions, improve technology, and consistently apply best practices.
Actively contribute to the continuous improvement of products and processes.
Document processes and maintain software development records following the software development lifecycle.