דרושים » הנדסה » DSP and AI libraries Software Team Leader

we are looking for a Graph Compiler Software Senior Team Leader.
As a Graph Compiler Software Manager, you will lead the development of next-generation graph compiler technology. This compiler is a cornerstone of AI software offering, empowering customers to optimize, map, and execute complex neural networks across architectures with extraordinary efficiency. You will lead a group of talented engineers and team leaders working across domains such as compiler optimizations, graph-level transformations, operator mapping, scheduling, and code generation. We are seeking a visionary and technically strong leader with passion for excellence and impact in one of the most fascinating areas of AI and deep learning.
Key Responsibilities:
Lead the design and implementation of innovative graph compilation flows for AI workloads, from high-level optimizations to hardware-specific backends. Build and guide a strong, innovative, and results-driven compiler team that thrives on solving complex technical challenges. Collaborate with hardware architecture, VLSI, and software framework teams worldwide to ensure seamless integration and maximum performance. Lead the end-to-end delivery of graph compiler components while meeting aggressive KPIs. Establish and execute group planning processes to ensure timely and high-quality delivery. Provide technical and managerial guidance to team leaders and engineers. Define and drive compiler optimization strategies for AI and deep learning workloads.

We are seeking an experienced Software Team Leader to lead the design, implementation, and optimization of our graph compiler key backend functionalities. You will own and drive the development of compiler infrastructure that transforms high-level computational graphs into efficient, hardware-optimized execution flows. This role combines deep technical leadership with people management responsibilities.
Responsibilities:
Take full ownership of key components within the graph compiler backend. Lead, mentor, and grow a team of talented software engineers; set priorities, review designs, and ensure timely, high-quality delivery. Drive the definition and the implementation of backend compiler architecture to support various graph IR transformations, optimization passes, and hardware abstractions. Lead the identification and implementation of compiler-level optimizations to maximize performance and efficiency of workloads on target hardware. Drive clear and transparent work planning by balancing performance goals and time-to-market considerations, fostering a proactive can-do mindset across the team. Establish best practices for code quality, testing, documentation, and continuous integration within the compiler team. Work closely with frontend compiler, runtime, architecture and hardware design teams to ensure seamless integration across the software stack.

seeking a hands-on Embedded Software Technical Lead to play a key role in the design and development of firmware for our next-generation rider products. This role is focused on deep technical ownership, system -level thinking, and high-quality implementation, and is ideal for an experienced Embedded engineer with a strong algorithmic background and solid architectural understanding-who can also mentor and lead a small team of 2-3 Embedded engineers while remaining highly hands-on in day-to-day development. What Youll Do
* Take hands-on responsibility for the design and implementation of Embedded software architecture for new wireless communication devices (ARM Cortex-M, RTOS, ultra-low-power systems).
* Design, implement, and optimize complex Embedded algorithms, including Real-Time control flows, communication logic, and audio/ DSP -related pipelines.
* Write, review, and maintain high-quality, production-grade C / C ++ code.
* Contribute to system -level architectural decisions and ensure scalable, robust firmware design.
* Define and promote coding standards, design patterns, and best practices across the firmware domain.
* Act as a technical focal point for debugging, root-cause analysis, and performance optimization of complex issues.
* Lead a small team of 2-3 programmers/engineers: provide technical direction, help with task breakdown and prioritization, and ensure high-quality delivery.
* Mentor engineers through design reviews, technical discussions, pairing, and hands-on collaboration-raising the teams engineering bar.
* Work closely with Hardware, QA, Mobile App, Cloud, and Product teams to deliver integrated, end-to-end solutions.
* Participate in technical roadmap discussions and evaluation of tools, technologies, and wireless stacks.

We are looking for a hands-on leader to head a small team that builds simulation models for our next-generation AI hardware and DSP. Modeling is done in several layers, from cycle-accurate, bit-exact block level modeling, to event-driven full IP system flows.
Your groups mission is to take part in the exploration phase of a project, giving architects rapid, high-fidelity feedback so they can explore design options, and to perform algorithmic regression, detecting deadlocks, sweep parameters and features, and understand system-level impact in a quickly adapting, dynamic development environment.
Beyond pure performance modeling, youll keep a sharp eye on functional accuracy and QA, follow emerging academic and industry trends, and inject the relevant insights into the product.
You will also champion modern AI-assisted coding tools (e.g., Cursor AI, GitHub Copilot) to lift the productivity of the senior software engineers on your team and shorten iteration cycles.
Responsibilities:
Lead and mentor a team of simulation and modeling engineers; set goals, review designs, and remove roadblocks. Design and implement transactional / cycle-accurate / bit-exact / event-driven models that faithfully represent advanced AI IP blocks (Transformers, CNN accelerators, custom DMA, interconnects, power-management units, etc.). Build automated flows to sweep architectural parameters and features, collect metrics, and visualize system-level impact on performance, area, power, and bandwidth. Analyze and debug complex issues such as deadlocks, race conditions, and performance hotspots; deliver concise root-cause reports and actionable recommendations. Collaborate daily with architecture, VLSI, compiler, and firmware teams to translate new algorithms and hardware ideas into model requirements and specifications. Own accuracy and QA of the simulation stack: golden-model alignment, coverage tracking, regression health, and release sign-off. Continuously survey academic papers and industry trends, extract meaningful insights, and propose innovative modeling techniques or architectural directions. Promote the adoption of AI-powered development tools to accelerate coding, code-review, documentation, and test generation across the team.

we are building state-of-the-art accelerated computing platforms that know no boundaries. Our technology is crucial for global innovators, scientists, researchers, and engineersempowering them to transform their boldest concepts into tangible outcomes. Our next-generation Infiniband, NVLink, and Ethernet systems will continue to be at the forefront of connecting and powering the world's most advanced AI clusters.
We seek a highly motivated and experienced Software Architect specializing in Ethernet Switch ASICs to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining switching software stacks and Linux kernel networking, and help address new business opportunities in exciting areas. Our Architects also represent our company in open-source projects, technical conferences, and standard development organizations.
What you'll be doing:
Explore networking technologies, features and protocols, hardware/software capabilities, open-source software and drivers for our Ethernet Switch ASICs and Networking platforms.
Be familiar with the Ethernet Switch ASIC hardware and software stacks, as well as with the Ethernet Switch platforms design and characteristics.
Define robust architectures and technical requirements for embedded software, meeting AI/ML workloads' needs and highly performing network operations.
Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans.
Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams.
Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.
Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.
Promote innovation through the design and implementation of Proof-of-Concept (PoC).

We are seeking a highly skilled and motivated Team Leader - Python Automation Infrastructure and testing to join our R&D organization. This role is central to building and leading our automation Infrastructure and testing, ensuring robust test coverage across SW components, integration, system, and end-to-end levels.
The successful candidate will provide both technical leadership and hands-on contribution-mentoring a team of automation engineers, establishing best practices, writing automated tests, and driving adoption of modern automation tools based Python and CI/CD methodologies. While the primary focus is integration automation, knowledge of RF systems/Cyber and DevOps is a strong plus.
Key Responsibilities:
Bachelor's degree in Computer Science or related field.
Lead and mentor a team of automation engineers, setting technical direction, assigning tasks, and supporting professional growth.
Architect, implement, and maintain scalable automation frameworks using Python and Pytest.
Write, review, and optimize unit, integration, and regression test cases to ensure high-quality software delivery.
Oversee automation of system-level and end-to-end testing, including API and UI layers (Selenium preferred).
Design and maintain CI/CD pipelines with Jenkins, Docker, and Git, ensuring automated testing is integrated into every stage of development.
Collaborate closely with software developers, RF, QA, DevOps, and hardware teams to embed testing and automation best practices into the product lifecycle.
Define, track, and report test metrics such as coverage, execution reliability, and defect detection effectiveness.
Promote a culture of quality and continuous improvement, introducing new tools and practices to strengthen automation.
Act as a technical expert, conducting code reviews and ensuring adherence to coding/testing standards.

We are seeking a Senior Customer Program Manager - Generative AI to support the planning and execution of technical and operational programs for key partners and maintain strong customer relationships. As a key member of the Customer Program Management Team, this role will drive collaboration with major enterprise customers, cloud service providers, Tier-1 partners, and OEMs. The ideal candidate will bring strong technical program management expertise, a solid engineering background, and the ability to thrive in fast-paced environments while ensuring successful outcomes for both internal teams and external collaborators.

What you will be doing:

Define and manage program schedules, deliverables, and turning points aligned with customer roadmaps and requirements.

Translate customer requirements into actionable tasks for all functional teams, driving timely issue resolution across engineering, quality, logistics, and sales.

Provide horizontal leadership to drive cross-functional program execution, managing high priority issues/concerns, and coordinating globally dispersed teams to ensure clear alignment on objectives.

Act as the primary customer interface, facilitating program kick-offs, technical discussions, design reviews, issues/bug tracking and resolution, customer qualification/validation efforts, and status updates throughout the product lifecycle.

Drive program execution from design through production deployment, ensuring on-time delivery, quality, and customer acceptance.

Provide ongoing post-deployment sustaining support, serving as case manager for high priority concerns within the generative AI domain.

Monitor factory production schedules, yields, and blockers, collaborating with ODM/contract manufacturers to resolve issues and meet operational targets.

Proactively communicate program health, risks, and key issues to both customers, internal partners, and leadership (Hardware, Software, Operations, Business, Quality, Sales, and Product Teams), ensuring transparency and alignment.

we are looking for a Software Simulator Developer.
In this role, you will learn and deeply understand the AI fundamentals and create tools that simulate AI neural network processor implementation.
In addition, you will perform in-depth analysis and optimization to the simulator, to ensure simulator performance and accuracy for various processors architectures.
The project is using C/C++ OOP as main development language as well as python for AI neural network
Development platforms are Linux and Windows based.
Responsibilities:
Taking part of innovative, agile, top-notch Software organization, designing Neural Network Processor (NPU) simulator in close collaboration with the architecture, algorithms, system and hardware teams.
Design and develop simulation software solutions allowing customers to run most advanced AI networks efficiently on NPU software simulation.

We are seeking a motivated and hands-on IT Software Engineer with 2-5 years of proven experience in AI development. As part of our IT development team, you will design, build, and deploy AI-powered applications and solutions that drive innovation and improve business productivity. You will work closely with software engineers, business analysts, and business stakeholders to implement AI models, agents, and copilots using modern tools and platforms.
This is a great opportunity for someone passionate about AI, who enjoys building practical solutions and growing their expertise in enterprise-scale environments.
How will you make an impact?
Be an active member of the IT development team, contributing to design, coding, and deployment of AI-driven solutions.
Develop and implement AI agents, copilots, and automation workflows using tools such as Microsoft Copilot Studio, Azure OpenAI, Azure AI Foundry, and Python.
Integrate AI models and components into existing applications, systems, and business processes.
Write clean, maintainable, and efficient code for AI-driven features and applications.
Apply prompt engineering techniques to optimize large language model (LLM) performance.
Collaborate with cross-functional teams (data engineering, product, business) to translate requirements into working AI solutions.
Participate in code reviews, testing, debugging, and deployment of AI applications.
Stay up to date with emerging AI technologies and contribute ideas for their adoption.
Support the monitoring and maintenance of AI models in production, including performance tuning and troubleshooting.

We seek a highly motivated and experienced System Architect specializing in Data-Center, AI Fabric, and Ethernet Networking to join our team of experts and help shape the future of high-performance ML/AI computing. You will have the opportunity to work on some of the most pioneering technologies and help drive the innovation of our next-generation networks. You will play a key role in defining end-to-end solutions, networking protocols and features, interworking with orchestration systems, and help address new business opportunities in exciting areas. Our Architects also represent us in open-source projects, technical conferences, and standard development organizations.

What you'll be doing:

Explore new technologies and end-to-end solutions for our Ethernet Networking Platforms.

Be familiar with data-center and AI fabric network topologies, AI/ML clusters operation and network usage, as well as with the Ethernet Switch platforms' design and characteristics.

Define robust architectures and technical requirements for network operating systems and end-to-end solution offering for AI/ML workloads' needs and highly performing network operations.

Lead the work with R&D and Validation teams, providing technical guidelines and close support and thorough reviews for detailed designs and test plans.

Collaboration with architects across various fields, including Chip Design, Firmware, Hardware Platforms, and System teams.

Close work with product marketing, program managers, and account managers to ensure the successful execution of projects.

Support engagements with key customers, issue patents, publish white papers and blogs, and be proactive in technical forums and industry working groups.

Promote innovation through the design and implementation of Proof-of-Concept (PoC).