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We are looking for a Senior Talent Acquisition Partner to join our People team in Tel Aviv. Youll own full-cycle recruiting for a portfolio of roles with a strong focus on Software Engineering and Product while also flexing to support hiring needs across our global offices. This is a high-impact, high-autonomy role for an experienced recruiter who thrives on solving hard sourcing problems, partners confidently with senior stakeholders, and knows how to move fast without cutting corners on candidate experience.
What Youll Do:
Own full-cycle recruiting from intake through offer and close.
Recruit globally as needed, supporting hiring managers and candidates across our offices.
Source proactively, using a mix of traditional channels and AI-powered sourcing tools (e.g., LinkedIn Recruiter, GitHub, AI/LLM-based sourcing and outreach tools) to build strong, diverse talent pipelines for hard-to-fill and niche technical roles.
Conduct HR and behavioral interviews, screening candidates for cultural fit, motivation, and core competencies alongside hiring managers technical evaluation.
Partner strategically with hiring managers and leadership, advising on market data, hiring strategy, role scoping, interview process design, and calibration, acting as a trusted talent advisor.
Drive an exceptional candidate experience at every touchpoint, representing our employer brand with professionalism and care.
Manage a full, independent desk, prioritizing across multiple open roles and stakeholders with minimal day-to-day oversight.
Use data to improve outcomes, tracking pipeline health, time-to-fill, and funnel metrics (via Greenhouse or similar ATS) to continuously refine process and sourcing strategy.
Contribute to employer branding and TA projects, including process improvements, and cross-functional People team initiatives.

We are looking for an experienced UAS System Engineer to join our airborne systems engineering team and serve as a key technical authority for ArduPilot-based unmanned aircraft systems, including multirotor and fixed-wing platforms.

The role requires a strong system-engineering background combined with deep, hands-on expertise in ArduPilot, flight control, aircraft sensors, avionics, and system integration.

The engineer will support the airborne system engineering team across aircraft development, integration, testing, troubleshooting, and flight operations, and will work closely with software, avionics, control, mechanical, and flight-test teams.

A key aspect of the role is the ability to bridge aircraft behavior, flight-control logic, ArduPilot configuration, and software implementation.

The ideal candidate is not only an ArduPilot user, but a system engineer who understands why the aircraft behaves the way it does and can connect aircraft-level behavior to the underlying system architecture.

We are looking for an experienced Technical Writer.

Responsibilities
Write, update, and maintain technical and operational documentation, including manuals, procedures, work instructions, user guides, and maintenance documentation.
Write, edit, format, and organize documents in Microsoft Word according to defined templates, style guides, and documentation standards.
Update and modify diagrams, process flows, and flowcharts using Microsoft Visio.
Collect, analyze, and structure technical information from engineering teams, product teams, and subject matter experts.
Collaborate with technical teams and SMEs to create, review, validate, and update documentation.
Ensure documentation is accurate, clear, consistent, and suitable for the intended audience.

We are looking for talented Automotive Technicians for our company's Mobile Service across Our Mobile Service Technicians are unique in the industry, driving in custom fit cars to customer locations to address their needs, ensuring best in class service.
At our company, our Mechanics are the backbone of the Service operation, supporting our mission to accelerate the worlds transition to sustainable energy. Weve created one of the most innovative vehicles ever made, and as a Mobile Service Technician you will help ensure an equally innovative service to our customers.
We offer:
A dynamic and fast-paced environment where inclusion, learning and collaboration are key to success.
An opportunity to utilize varying models of our fleet for daily operations and repairs.
The chance to work with innovative technology, advanced tools and software.
Ongoing training and development to help you grow your skills and career.
A competitive compensation and benefits package including our company shares.
מה תעשו
Service, repair and improve: Working with our company specific software and drive out to customers to service their vehicles. This is an independent position
Ensure top quality: Fix it right first time, we trust you to inspect our vehicles diligently before return and pre-delivery and to work with the highest quality standards.
Collaborate: Working across teams (local and regional) you will be sharing support and best practices to further improve the service experience. 
Develop: Setting you up for success our dedicated in-house training teams will train you on our company specific technology and the repair of Electrical Vehicles.
Support end to end mobile service process as needed by the business to be able to perform their core duties, with activities like parts management, scheduling, etc.
Customer Facing: Take ownership of all customer facing interactions. You will be required to perform basic repairs, educate customers on technical information and general usage of vehicle.

At our company, our Service Technicians are the backbone of the Service operation, supporting our mission to
accelerate the worlds transition to sustainable energy.
Weve created one of the most innovative vehicles ever made, and as a Service Technician you will help
ensure an equally innovative service to our customers.
To succeed at our company, you must be energetic, highly organized, and smart working. You should have a
passion for the brand and the ability to build on your technical skill set and thrive in a team
environment.
Are you up for the challenge?
We offer:
A dynamic & fast-paced environment where inclusion, learning & collaboration are key to
success
The chance to work with innovative technology, advanced tools and software
Ongoing training and development to help you grow your skills and career
A competitive compensation and benefits package
A safe, clean and fun workplace
מה תעשו
Service, repair and improve: Working with our company specific software and advanced tools you will be performing repairs and maintenance on all types of our company vehicles
Driven: Efficient in completing repairs and driven to exceed expectations on quality and productiviy
Become proficient to perform most complex repairs autonomously
Ensure top quality: Fix it right first time, we trust you to inspect our vehicles diligently before
return and pre-delivery
Collaborate: Working across teams, you will be sharing support and best practices in order to further improve the service experience
Develop: Setting you up for success our dedicated in-house training teams offer a blended learning strategy to help develop your technical skills. And by also sharing your own skills and knowledge with the team, youre a part of driving the whole group forward.

As an AI Engineer, you will help build scalable deep learning systems for Physical AI and humanoid robotics.
You will contribute across the full AI lifecycle, from simulator integration and large-scale data pipelines to model training, evaluation, deployment, and optimization on real robotic platforms.
In this role, you will work with large-scale datasets and compute infrastructure to train state-of-the-art models that enable robots to perceive, reason, and act in the physical world.
You will help build robust, production-grade systems that bridge simulation and reality, accelerate model iteration, and bring cutting-edge AI capabilities onto real humanoid robots.

Design, implement, and train state-of-the-art neural network architectures for robotic applications, including large multimodal models (vision, language, sensor data) and generative models.
Architect and maintain scalable deep learning frameworks for training on massive, real-world robot datasets.
Develop and implement cutting-edge techniques in areas such as imitation learning, reinforcement learning, self-supervised learning, and video-based models.
Own the full machine learning lifecycle: define data collection and labeling strategies, build high-throughput data pipelines, and establish robust evaluation and deployment protocols.
Collaborate closely with software, hardware, and controls teams to integrate and test your models on physical robots.
Leverage and contribute to internal tooling for large-scale data processing, model experimentation, and continuous integration.