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Nuvoton Technology Israel, located in Herzliya, is looking for an Experienced Embedded Linux Kernel Developer to join its BMC Software development team. Nuvoton is a worldwide leader of BMC (Baseboard Management Controller) SOCs, used in Enterprise and Data Centers Servers. Our customers are Tier-1 Enterprise Server vendors and CSPs (Cloud Service Providers). As a Nuvoton employee, you will be a part a global team that develops embedded software solutions for application processors, security processors, TrustZone/OPTEE and embedded I/O processors. Responsibilities: - Design, develop, enhance, and maintain Linux BSP for Nuvoton’s BMC SOC - Collaborate with software, hardware, validation, and architecture teams - Collaborate with community and customers on open-source projects - Participate in Pre (on emulation system) and Post silicon activities. - Participate in customers engagement, including design and code reviews, new features development, issues debug and resolution

We're looking for a Computer Vision DL Engineer to help define and drive Beamr's ML and AI research agenda. Reporting to the AI Tech Lead, you'll own the full lifecycle of Machine Learning solutions - from early-stage research through to production deployment - with a direct impact on both our product and our internal operations. This is a hybrid role based at Beamr's offices in Herzliya, with a minimum of 3 days per week on-site. What we work on: Computer Vision R&D Deep Learning Video Processing & Compression Physical AI ML Production Systems LLMs / Large-scale ML What you'll do:
* Take an active part in ML R&D projects from inception to deployment
* Understand and optimize video workflows for Physical AI solutions to enhance end-to-end performance
* Stay abreast of the latest advancements in relevant AI/ML technologies and bring findings to the team
* Work with stakeholders throughout the organization to leverage company data and knowledge to drive increased efficiencies

We are looking for a motivated and skilled Motion Control Software Engineer to join Motion Control team in developing automotive-grade embedded systems. You will design and implement cutting-edge control algorithms, deliver high-quality embedded software, and contribute to innovative X-by-wire vehicle platforms.
This role is an opportunity to work in a multidisciplinary environment, collaborating with mechanical, electrical, and systems engineers, while advancing your expertise in motion control and automotive technologies.
Key Responsibilities:
Design, implement, and test embedded software for motion control applications (motor control, steer-by-wire, brake-by-wire).
Develop Simulink-based algorithms and support auto code generation workflows.
Collaborate with team members to integrate control algorithms into automotive ECUs.
Debug, profile, and optimize real-time embedded software in C/C++.
Ensure compliance with automotive quality and safety standards (ISO 26262, ASPICE).
Work closely with cross-functional teams to deliver software aligned with program timelines.
Stay current with industry best practices and contribute to continuous improvement in tools and methodologies.

We are looking for a research intern to join us for a research project aimed at publication at a top-tier venue. The intern will design and develop novel agentic systems that leverage large language models and vision-language models to reason over extended video content.
Description
Our team focuses on generative AI applications for videos. You'll work alongside fellow researchers and engineers, leveraging Computer Vision and Agentic Systems technologies to build future products.
Responsibilities
Design and implement novel LLM-based agentic systems for long-form video understanding, targeting established academic benchmarks
Collaborate with researchers and engineers on the team to produce a publication-ready contribution
Benchmark against established evaluation suites and iterate toward state-of-the-art results

Power the Future with us! At our company, we're a global leader in smart energy technology, with over 3,000 employees, offices in 34 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery Storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. our company offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. This is a great opportunity to join the system Engineering team, which is part of the R&D Division. In the system Engineering, you will lead our company's systems designs to create a new generation of products and improve the existing product range. You will work in a multidisciplinary environment and will need to define the system requirements and the validation process, with all R&D disciplines, such as Hardware, Software, Mechanical and Integration. The ideal candidate is a hands-on experienced engineer that sees the bigger picture, loves a fast-paced work environment, is self-motivated and has excellent communication skills. What will you be doing
* Define the product system requirements, behavior, logic, and?interfaces considering all disciplines (Hardware, software, mechanics, thermal, user interface, and more)
* Lead cross-discipline feasibility and tradeoff studies, system architecture development, and design reviews
* Analyze and suggest architectural alternatives
* Conduct hands-on proof-of-concept on HW in the lab and field
* Investigate and solve complex system -level problems
* Interact with our company's excellent engineers: Embedded, HW, Power, Cloud, Product Managers, Integration, etc.
* Act as primary contact for system -related issues

Country:
Israel
City:
Herzliya

The AI Graph Compiler Engineer will design and develop next-generation graph compiler technologies enabling efficient execution of advanced AI models on our company 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 our company NPUs.
What will you do:
Develop and enhance AI graph compiler components targeting our company 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 our company 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.

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 companyNPU 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.

Lead the development of our company Sensing SDK, a core software toolkit that integrates a broad set of computer vision, audio, and voice libraries, along with AI operators. The SDK is specifically designed and optimized for our companys latest NPUs and DSPs - NeuPro-M, NeuPro-Nano and SensPro2 - positioning it as a cornerstone of our companys sensing and AI platform.
Key Responsibilities:
Lead and mentor a team of software engineers developing our company 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, 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.

As a Graph Compiler Software Manager, you will lead the development of our companys next-generation graph compiler technology. This compiler is a cornerstone of our companys AI software offering, empowering customers to optimize, map, and execute complex neural networks across our company 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.