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In this role, you will be shaping the future of our companys AI software stack for Neural Processing Units (NPUs). You will lead software architecture, define performance-critical components, and enable 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 our company NPU embedded solutions, actively promoting our company AI capabilities to the customers.
We are seeking a high-impact motivated Software Architect to join our team and help shape the future of our advanced neural network AI Software Toolchain over our companys AI computing processors.
Responsibilities
Lead Software Architecture specification and supervise design for the most advanced Software Toolchain handling state-of-the-art Neural Processing Unit operation.
Design and promote holistic software solutions incorporating various aspects of NPU handling: from network retraining, graph compiling and network inference execution on the embedded systems.
Collaborate proactively with Product, Architecture, VLSI and Software teams to promote software leadership over various markets and compute SoCs.
Explore and translate state-of-the-art neural network and AI applications requirements into software architecture flows, encompassing hardware, software, tools and other components.
Evaluate architecture proposals, internal and external IP features and provide influential and inspirational leadership across hardware and software to align all parties to a common vision of architecture & technology development.
Represent our company with high technical credibility in customer meetings, appropriately incorporating feedback.
Boost velocity of development teams by providing technical guidance and by constantly looking ahead to anticipate and resolve future challenges.
Conduct experiments, invent and drive development of supporting tools such as simulators, models, profilers, and other methods as required.
Engage with engineering leadership and product planning stakeholders to develop technology roadmap.

In this role, you will be a key contributor to the design and implementation of our companys 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 our company NPU embedded solutions, actively promoting our company 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.

In this role, you will be a key contributor to the design and implementation of our companys 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 our company NPU embedded solutions, actively promoting our company 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.

We are looking for an Infrastructure Team Leader to lead and manage a highly skilled team of 4-5 engineers, responsible for Emulation, CAD, DevOps, compute infrastructure, and automation.
This role combines 50% hands‑on and 50% manageiral technical leadership and end‑to‑end ownership of infrastructure, tooling, and release flows.
The position has a significant impact on productivity, quality, and time‑to‑market of the companys silicon products and is reporting directly to the director of the department.
Responsibilities
Lead and mentor the Infrastructure team, including CAD, DevOps, automation, and emulation activities.
Own the definition, development, and maintenance of infrastructure: Emulation, design flows, verification flows, releases, automation, TFS Azure DevOps and CI/CD pipelines.
Drive continuous improvement of infrastructure reliability, performance, scalability, and usability.
Take end‑to‑end responsibility, cross BU, cross site VLSI releases, environments, and production readiness.
Collaborate closely with different stakeholders in the HW and SW RnD teams to align infrastructure with project needs.

we are at the forefront of AI inference and signal processing, powering some of the world's most advanced edge devices with our NPU, Connectivity, Wireless, and Sensing IP platforms. As part of our Customer Solutions Group, you'll join a senior team of technical experts who are the bridge between our company's engineering depth and the real-world needs of customers and partners worldwide.
This is a customer-facing role focused on our company's AI Division, spanning the full customer lifecycle, from pre-sales technical evaluation through post-sales integration. The role combines technical account management with disciplined operational follow-through on behalf of assigned customers.
You'll engage in complex, deeply technical conversations that require strong engineering understanding paired with the communication skills and gravitas to represent our company credibly to customers.
What you'll do
Act as the senior technical point of contact for assigned customers, representing our company credibly and in depth on our AI Division's product status, roadmap, and forward plans, including presenting technical material and traveling on-site as needed.
Own the operational flow of customer communications, triaging incoming requests, routing them to the right internal stakeholders, and driving each item to closure.
Proactively track all open commitments and milestones on behalf of assigned accounts, ensuring nothing slips and that customers receive timely, accurate status updates.
Support pre-sales technical engagements - demonstrating product value, evaluating customer use cases, and contributing to proof-of-concept efforts.
Guide customers through post-sales integration, helping them get the most out of our company's tools and software stack.
Maintain and grow the organization's knowledge base of customer environments, technical challenges, and solved cases.