דרושים » תוכנה » SW Engineer

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.

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.

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

Required C++ Software Engineer
Job Description:
We are excited to announce that the Silicon One team is undergoing rapid growth, and we are looking for a C++ Software Developer.
Meet the Team
Join the Silicon One team developing a unified silicon architecture for web-scale and service provider networks. Our silicon team provides an outstanding, unique experience for ASIC and Software engineers by combining the resources offered by a sizable multi-geography silicon organization with the startup culture and breadth of growth opportunities that working in a smaller team can provide.
Your Impact
Craft and develop software driving the world's most complex infrastructures
Gain intimate knowledge of world-class silicon and programming models
Work with architecture and design teams to define the next generation of ASIC products being developed.

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

we are looking for a sharp, hands-on Product Manager to help define NR-NEXUS, our next-generation AI inference platform.
This role is ideal for experienced product manager who is fast-learning, technical, and ambitious. Youll work closely with Product, R&D, Marketing and customers engineering team to turn market needs, customer feedback, and AI infrastructure trends into clear product requirements, workflows, demos and PoCs.
What Youll Do:
Help define NR-NEXUS product capabilities, workflows, and use cases
Write clear PRDs, user stories, feature briefs, and competitive notes
Research AI infrastructure, SaaS platforms, model serving, and inference trends
Work with engineering to translate technical capabilities into product value
Support customer and partner discovery with sharp product thinking