לוח משרות דרושים משרה חלקית, לחיפוש זה נמצאו 4,481 משרות

we are the agentic intelligence platform for cyber and quality teams. We protect and analyze data from millions of connected assets worldwide, including vehicles, robots, charging stations, fleets, and the broader physical-AI ecosystem - for Fortune 500 companies. Our platform spans AI and API security, cybersecurity XDR, proactive quality detection, and cyber threat intelligence.
we are looking for a highly motivated student to join our Data Analytics team. This role includes exploring and extracting insights from millions of connected vehicles on the road. As a Data Analyst, you'll develop the next generation of cybersecurity and mobility data applications for the automotive industry.
we are a fast-growing company and is looking for determined and devoted individuals. This is a chance to witness the connected vehicles revolution from a different angle. You will play a major role in the companys engagements, research large complex datasets, and use cutting-edge tools and methodology.
This role is part-time and is Israel based.
Responsibilities
Leading the data onboarding process of new customers.
Explore raw data of various customers as preparation for parsing and normalization in order to turn data into actionable insights and make data-driven decisions.
Use big data tools and AI to analyze large scale real-time data of connected vehicles and identify anomalies and emerging threats to create meaningful detectors that bring value to our customers.
Representing the data function both internally and externally, including customer-facing interactions.

Required Wafer-Scale System: Computation (LLM) and Communication (NoC) Co-Design
In this job opening, we are seeking a highly motivated and visionary researcher to join our team focused on chiplet-based computing systems. This role involves research and development in chiplet-based architectures, aiming to overcome performance and scalability limits of traditional compute platforms.
Responsibilities:
Conduct cutting-edge research on the co-design of communication and computation for wafer-scale systems. On the communication side, the work focuses on architecting Networks-on-Chip, providing scalable, high-bandwidth, and ultra-low-latency interconnects that efficiently span multiple dies and support fine-grained data movement. On the computation side, the research emphasizes optimizing and mapping training and inference workloads to fully exploit wafer-scale resources, improving performance, scalability, and energy efficiency through intelligent task placement and scheduling.
Investigate various aspects of system design, including:
Network-on-Chip design, further including Topology exploration, routing algorithms, and protocol/flow-control design to support high-throughput collective communication, low-latency synchronization, and efficient model/data parallelism
Expressing and Mapping LLM Parallelism to Wafer-Scale System that simplify LLM parallelism (e.g., tensor, pipeline, and data parallelism) and efficiently map training and inference workloads onto wafer-scale system.