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As a Data Engineer , you will own the data lifecycle for Physical AI and humanoid robotics: the pipelines and systems that move data from the moment it is captured to the moment it trains a model.
You will design and scale the pipelines that convert large volumes of simulation and real-robot recordings into state-of-the-art datasets - handling extraction, transformation, feature schemas, statistics, and video at scale. You will build the curation systems that generate and select high-quality training data, and the release tooling that produces versioned datasets.
You will work with various reinforcement learning and computer vision algorithms which generate realistic simulation data for humanoid robotics tasks.
You will build robust, production-grade systems that bridge data producers and consumers, accelerate dataset iteration, and make every dataset that reaches a model trustworthy, reproducible, and traceable to its source.

We are looking for an Admin & Employee Experience Specialist to manage the day-to-day operations of our Herzliya office and create a positive workplace experience for approximately 100 employees.

This is a hands-on role covering office operations, vendors, employee wellbeing, events, and business travel. Were looking for someone organized, proactive, service-oriented, and comfortable taking ownership in a fast-paced environment.

This is a full-time, on-site position at our Herzliya Hills office.

Responsibilities
Own the day-to-day operations of the office, including facilities, maintenance, equipment, supplies, and infrastructure.
Manage external vendors and service providers, including sourcing, ongoing communication, negotiations, and cost control.
Serve as the main point of contact for employees on administrative matters and day-to-day office needs.
Plan and execute employee experience and wellbeing initiatives, company events, celebrations, and activities throughout the year.
Manage and monitor office and employee experience budgets in coordination with management and relevant stakeholders.
Identify evolving workplace needs and proactively lead improvements to office operations and the overall employee experience.
Coordinate business travel, including flights, accommodation, and related logistics, as needed.
Support ad hoc operational and administrative projects based on organizational needs.

Operate and maintain multi-node GPU compute and training clusters (SLURM), including scheduling policy, quotas, and job troubleshooting
Manage the NVIDIA GPU software stack across mixed generations, plus the high-speed interconnect fabric
Own storage infrastructure: parallel and network filesystems
IT site owner, POC
Administer enterprise networking: firewall policy, VPN, SD-WAN, and site connectivity
Run identity and directory services, and the SaaS SSO integrations that depend on them
Provision and manage a mixed endpoint fleet across Linux, Windows, and macOS
Handle server-room operations: power, cooling, UPS, and capacity planning

Lead the SW Backend Team, responsible for scaling robotic operations, fleet management, and performance analytics.
Drive architectural decisions around scalability, reliability, performance, and observability.
Work closely with AI, simulation and parallel software teams to ensure cohesive development across the company.
Foster a culture of technical innovation, engineering excellence, and personal accountability.

Architect a Centralized Platform: Design and develop a comprehensive, multi-purpose application that serves as the central hub for the company's robotic operations, fleet management, and performance analytics.
Develop Robot Control Interfaces: Build real-time control systems that allow engineers and operators to securely connect to the robots, visualize live sensory data, and directly command robot functionality via tele-operation.
Cross-Functional Integration: Collaborate closely with our AI, simulation, and hardware teams to ensure seamless data flow and integration between the physical robots, backend infrastructure, and user interfaces.