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We are looking for an exceptional Production Troubleshooting & Incident Lead to take end-to-end ownership of complex production incidents in a mission-critical banking environmnt.
This is not a traditional support role.
The person in this position will be expected to quickly understand complex problems, build a clear picture of the incident across multiple systems, identify the relevant components and dependencies, determine the root cause, engage the appropriate engineering teams, and drive the incident through to complete resolution.
Our production environment consists of multiple applications, services, infrastructure components, business processes, and integrations with the Bank's systems. Successful troubleshooting therefore requires both deep technical capabilities and strong system-level thinking.
The ideal candidate is a natural problem solver - someone who is comfortable entering an unclear situation, asking the right questions, connecting information from multiple sources, and rapidly turning uncertainty into a structured understanding of the problem.

We are looking for a highly skilled Computer Vision & Algorithms Engineer to take ownership of core perception and decision-making modules - bridging the gap between machine learning outputs and real-world robot behavior.
In this role, you will turn noisy, imperfect sensor data and incomplete computer vision outputs into robust, actionable decisions, ensuring reliable system performance in challenging outdoor conditions.
This is a hands-on, high-impact role in an early-stage startup, requiring strong ownership, fast iteration, and comfort working in ambiguous, real-world environments.
What You'll Do:
Own the design, implementation, and validation of perception post-processing and decision-making modules
Transform ML and computer vision outputs (e.g., 3D point cloud segmentation, sensor data) into reliable, structured representations
Develop algorithms for noise filtering, tracking, and spatial reasoning under uncertainty
Design and implement decision logic for robot target selection and behavior
Develop and improve computer vision and 3D perception pipelines for real-world deployment
Work closely with ML engineers to define interfaces, handle uncertainty/confidence, and improve system robustness
Deploy and optimize algorithms on embedded edge platforms (NVIDIA Jetson)
Write production-grade C++ code and prototype in Python
Debug and iterate using real-world flight data and field tests
Lead the module validation within the integrated robot environment and field-test scenarios

We are looking for an exceptional Junior Software Developer who wants to grow fast, take ownership, and make an impact from day one.
Location: Givat Hen, Israel
Employment type: Full-time
Work model: Office-based, 5 days per week
Who You Are:
Computer Science / Software Engineering graduate, or a final-year student in a relevant degree program
Strong academic performer with a grade average of 85+
Highly independent and self-managed
Takes ownership and drives tasks from idea to execution
Strong problem solver who learns quickly and gets things done
Team player with a no-ego attitude
Comfortable stepping outside the office for field tests and hands-on work when needed

We are looking for a motivated and detail-oriented Junior Mechanical Designer to join our growing engineering team. This is a great opportunity for someone at the beginning of their career who is passionate about product design, mechanical systems, and turning ideas into real-world solutions.
You will work closely with senior engineers, product teams, and manufacturing partners to support the design and development process from concept to production.
Responsibilities:
Assist in the design and development of mechanical components and assemblies
Create and update 2D drawings and 3D CAD models
Support prototype development and product testing
Prepare technical documentation and manufacturing files
Collaborate with engineering and production teams to ensure design accuracy
Participate in design reviews and problem-solving discussions
Help maintain engineering standards and documentation consistency

We are looking for a highly skilled ML/Perception Engineer to take ownership of our vision pipeline - from data to deployed models running on embedded systems.
This role is focused on building perception systems that actually work in the field, under real-world constraints.
What You'll Do:
Own the full perception pipeline: data → training → evaluation → deployment
Develop and improve detection and segmentation models using RGB + depth data
Build and maintain a data engine: define labeling strategies, drive dataset quality and consistency, handle noisy and imperfect data
Ensure models generalize to real-world conditions: changing lighting, occlusions, small / hard-to-detect objects
Deploy models to Jetson NX-based systems - ensure compatibility with TensorRT, perform export, validation, and debugging
Collaborate closely with software, robotics, and algorithm engineers to integrate perception into the system