לוח משרות דרושים הייטק AI  בהוד השרון

Lead next generation inference solution optimized for power, performance and area. Considering scalable solution for large scale systems with many resources. Covering efficient data delivery and workload map.

We are looking for a talented AI Researcher to join our Wi-Fi MAC team and help shape the next generation of intelligent wireless systems. This role sits at the intersection of AI/ML and advanced Wi-Fi technologies, focusing on applying machine learning to complex Wi-Fi scenarios and, conversely, adapting Wi-Fi systems to better support AI workloads - AI for Wi-Fi and Wi-Fi for AI.
You will work closely with Wi-Fi protocol experts to explore, design, and prototype AI-driven solutions for MAC-layer optimization, performance enhancement, and intelligent decision-making in real-world wireless environments.
Key Responsibilities
Research and develop AI/ML techniques for Wi-Fi MAC-layer challenges (e.g., scheduling, rate control, congestion management, fairness, latency, and reliability).
Embed AI models into complex Wi-Fi system setups and scenarios, including dense networks and multi-user environments.
Analyze large-scale Wi-Fi datasets, simulations, and traces to train and evaluate ML models.
Collaborate with Wi-Fi experts to translate protocol behavior into ML-friendly features and learning objectives.
Explore how Wi-Fi systems can be optimized to support AI workloads, including data collection, inference efficiency, and real-time constraints.
Prototype, test, and validate ideas using simulation tools, testbeds, or experimental platforms.
Contribute to technical documentation, design discussions, and long-term architectural decisions.

Our team at the Huawei Computing Network Innovation Lab is looking for exceptional talent to join us and lead the development of next generation data centers. We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage and networking at large-scale. We aim to drive innovations and deliver software defined infrastructure and algorithms to HPC, AI/ML, and Big Data applications.
We are looking for outstanding candidates with hands-on experience in development and optimization of AI frameworks. If you are a team player with excellent communication skills and motivation to revolutionize application performance, youre welcome on board!
What will you be doing?
Work as part of an innovative research team to analyze, develop, test and deploy improvements that enhance Huaweis distributed AI framework.
Develop optimizations that leverage hardware accelerator capabilities, minimize communication overhead and improve training/inference throughput
Push the boundaries of the state of the art in LLM performance and efficiency, including model compression and quantization
Analyze, profile and optimize the latest LLM AI algorithms, and implement as production-quality software libraries for latency-critical use-cases on next-generation hardware.
Work in a distributed computing environment to optimize for both scale-up (multi-device) and scale-out (multi-node) systems
Utilize advanced concepts such as Uncertainty Quantification, Mixed Precision Computing and Model Sparsity to improve performance and enable training of very large AI models
Collaborate with partners from top universities, and open-source communities to conduct state-of-the-art research.

We are seeking a hands-on AI Team Lead to guide a small, high-performing, cross-border team focused on applied computer vision and deep learning. This role combines strong technical leadership with business awareness, requiring a balance between innovation and reliable delivery.
The AI Team Lead will take ownership of model development from concept to production, ensuring that every solution delivers clear product value and aligns with commercial objectives. You will work closely with product, engineering, and business stakeholders to translate real-world farming challenges into scalable AI solutions.
What Youll do:
Lead a team of two-three AI engineers and a data analyst.
Stay hands-on with modeling, architecture, and experimentation (PyTorch, TensorFlow, OpenCV, etc.).
Prioritize projects and research directions based on business value, not academic curiosity.
Translate business needs into clear technical milestones, balancing accuracy vs. speed, performance vs. ROI.
Define and enforce quality standards in modeling, validation, and deployment.
Mentor and grow a strong, self-driven technical team through feedback, reviews, and clear objectives.
Collaborate daily with business, backend, and QA teams to align expectations and adjust priorities quickly.