Вакансии: Разработка

Lead a team of firmware engineers while actively contributing to development of advanced networking features for AI, cloud, and HPC. Work in a dynamic environment with cutting-edge hardware and software. Require strong C/C++, data structures, debugging skills, and 2+ years managerial experience.

Contribute to the design, development, and delivery of AI-powered features and services for sovereign and regulated cloud environments as an AI Engineer Intern. Work with mentors on agents, prompt flows, retrieval workflows, evaluation, and cloud-native development. Ideal for creative, self-driven students with a passion for AI engineering and solving complex problems in 0-to-1 product spaces.

Join a team dedicated to defending national security with AI-native cybersecurity solutions. As a Security Researcher, you will analyze network devices, identify threats, and develop automated detection tools. Work cross-functionally to integrate new capabilities into the platform and act as a security expert for multidisciplinary teams.

Customer-facing Senior Application Engineer responsible for adoption and effective use of EDA solutions. Leverage Virtuoso environment to solve complex design challenges, drive technical campaigns, and provide methodology guidance. Collaborate with R&D and product teams to improve solutions.

Lead and mentor a team of malware researchers and reverse engineers, driving long-term security research on Android frameworks. Detect large-scale malware campaigns, enhance research reports, and collaborate across teams. 40% hands-on technical work involving static and dynamic analysis.

Join a dynamic team pushing the boundaries of custom silicon design. You'll contribute to performance, power, and area optimization of complex SoCs for consumer products. Responsibilities span synthesis, place and route, signoff, and EDA methodology development.

A global investment management firm is seeking a Machine Learning Engineer to design and manage AI infrastructure for autonomous agents and enterprise AI solutions. The role involves building production-grade systems, optimizing LLM inference, and guiding teams in AI adoption. Based in Ramat Gan, this on-site position requires strong Python and PyTorch skills, plus experience with distributed systems and container orchestration.

Join a team building an open-source Kubernetes scheduler for AI workloads, adopted by leading AI labs and enterprises. You will develop scalable scheduling solutions, optimize cluster utilization, and contribute to the Kubernetes ecosystem.

Join a leading hardware technology company to advance the state of the art in Large Language Model inference. You will research, prototype, and optimize algorithms that make LLMs more efficient and scalable on cutting-edge GPU hardware, directly impacting products used worldwide.

Lead the technical direction of an open-source CNCF project focused on AI workload scheduling on Kubernetes. Drive architecture, scalability, and community engagement for deployments at massive scale, serving AI frontier labs and leading enterprises.