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In this role, you will be a key contributor to the design and implementation of AI Graph Compiler software stack for Neural Processing Units (NPUs). You will take part in defining software architecture, implementing performance-critical components, and enabling efficient execution of advanced neural networks under tight power, memory, and latency constraints.

You will work closely with hardware and system architects, software and hardware engineers, influencing both software and hardware decisions. You will design and implement major parts of NPU embedded solutions, actively promoting AI capabilities to the customers.

What will you do:

Own and design key components of the AI Graph Compiler software stack for NPU-based systems.

Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.

Collaborate on HW-SW co-design, influencing NPU architecture.

Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.

Mentor junior engineers and contribute to technical best practices.

The AI Graph Compiler Engineer will design and develop next-generation graph compiler technologies enabling efficient execution of advanced AI models on Neural Processing Units (NPUs) used in edge and embedded AI devices. In this role, you will work at the intersection of AI frameworks, graph optimization, and hardware acceleration, enabling efficient execution of neural networks on cutting-edge AI hardware.

You will work at the intersection of AI frameworks, compiler infrastructure, and hardware acceleration, helping translate high-level AI models into highly optimized executions on NPUs.



What will you do:

Develop and enhance AI graph compiler components targeting NPU architectures. Implement graph-level optimizations such as operator fusion, scheduling, memory planning, and layout transformations. Participate in lowering models from AI frameworks (e.g., PyTorch, ONNX, TensorFlow) into NPU-optimized representations. Contribute to compiler passes focused on performance, memory efficiency, and numerical correctness. Collaborate closely with hardware, runtime, and AI framework teams to achieve optimal end-to-end performance. Analyze performance bottlenecks and assist in compiler-based optimizations. Debug and resolve issues across compiler, runtime, and hardware layers. Support testing, validation, and documentation of compiler features.

We are seeking for a highly motivated Business Operations, Planning and Licensing Director to join our COO organization. You will have the opportunity to play a key role in shaping the future of wireless, connectivity and sensing business units.

In this role, you will support and drive business growth through business planning and operation, commercial strategy/model analysis and eco system enablement, across commercial, technical, legal, and marketing domains, ensuring smooth coordination between multiple internal and external stakeholders. The ideal candidate combines strategic thinking, business understanding, operational discipline, and strong interpersonal skills to enhance business value, support sales licensing negotiations, expand customer base, strengthen partnerships, and support the revenue objectives.

Responsibilities:

Lead and support cross-functional business operation activities - ensuring efficient communication and coordination across GMs, legal, finance, technical and commercial teams
Commercial Licensing - support Sales and Legal functions in drafting and reviewing related business licensing agreements. Help drive coherency and alignment with the business objectives, all while enabling success of deals closure
Business operation - coordinate business unit operations related to commercial strategy, sales, delivery tracking, revenue recognition, contractual commitments and contract lifecycle management (including amendment, renewals etc..) ensuring accurate documentation and reporting.
Pipeline management - Develop, maintain and expend databases of customers, prospects, and market intelligence; work closely with GMs and sales teams to identify and track strategic opportunities and create reliable P&L and forecast dashboards
Pricing and business model strategy - Working jointly with product team to drive customer and revenue growth by identifying, qualifying, and developing new business opportunities, pricing strategy, business models and supporting long-term forecasting and strategic planning.
Strategic partnerships - Develop and manage partnerships and ecosystem- identify and nurture potential business partners, establish appropriate partnership agreements, and coordinate joint commercial activities.

Lead and mentor a team of software engineers developing Sensing AI SDK. Architect and implement high-performance sensing SW components for AI, vision, Audio and voice optimized for vectorize SIMD execution. Collaborate with compiler and DevOps teams to ensure efficient development and deployment. Drive technical excellence through code reviews, design discussions, and continuous improvement. Own the SDK roadmap, planning, and delivery cycles. Engage with customers to enable successful pre-sale processes, support integration and gather feedback.

In this role, as Embedded Software Team Leader, you will lead a software team taking major part in developing AI framework. This framework is at the heart of the AI software offering, with deep impact on multiple hardware and software teams ability to execute state of the art LLM, Generative AI and Neural Networks with extraordinary performance. You will lead a team of creative and result oriented enthusiasts that invent, design, and implement software that enables smooth connectivity between the NPU and Host CPU.

Key Responsibilities:

Lead and manage the Embedded Software engineering team, ensuring high performance and productivity. Oversee the design, development, and implementation. Collaborate with cross-functional teams to integrate solutions. Provide technical guidance and mentorship to team members. Ensure project timelines and deliverables are met. Conduct performance reviews and support professional development of team members. Collaborate globally with architects, HW teams, NPU teams, and other developer teams.

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.

In this role, you will be managing the MBBU projects involving multiple domains including: VLSI architecture, VLSI Design, VLSI verification, VLSI backend, Algorithms and Software. These projects include development of products like cellular modems, Communication Digital Signal Processors and Radar/Lidar baseband with a total of up to 100 R&D engineers involved.

This role is reporting to the MBBU General Manager.

Responsibilities

Full ownership on all R&D projects of the Mobile Business Unit, including Software, VLSI and Algorithms tasks.

Direct management for the PMO

Own and design key components of the Edge AI software stack for NPU-based systems.

Optimize inference performance (latency, throughput, memory footprint, power) for edge deployments.

Collaborate on HW-SW co-design, influencing NPU architecture.

Support IP evaluations and silicon bring-up, root-cause complex HW/SW issues, and influence development methodologies.

Mentor junior engineers and contribute to technical best practices.

As a Talent Acquisition Specialist, you will have the opportunity to make a real impact on our growth and success. The Talent Acquisition Specialist will be responsible for full cycle recruiting for various roles in the company.

Responsibilities

Manage the hiring process end-to-end, including sourcing, screening, accompanying candidates and interviewing. Creating candidates pipeline: sourcing, working with 3rd party and social media to ensure candidates pipeline. Work closely with hiring managers to understand their goals and needs. Focus on providing a great candidate experience. Managing recruitment projects, such as Linkedin parties, student fairs and referral program.

We are seeking a highly skilled and motivated VLSI Backend Team Leader to join and lead our dynamic team.

As part of this position, you will lead a team of experienced engineers working on parallel projects, and play a crucial role in the design and implementation of complex designs, flow development, and the latest technology node bring-up and integration.

The Backend team leader will be required to do 50% hands on work and 50% managerial work.