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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

We are looking for an experienced and hands-on Automation Tech Lead to lead the technical direction of our automation infrastructure and drive the adoption of scalable, reliable, and maintainable automation solutions.
The role combines hands-on engineering, technical leadership, architecture, and mentoring, working closely with QA, R&D, DevOps, and Product teams.
What you'll do:
Define and drive the technical strategy and architecture of automation.
Design, develop, and maintain scalable automation frameworks.
Develop automated tests using Python and pytest.
Integrate and maintain automation within CI/CD pipelines, including Jenkins.
Define automation best practices, coding standards, and quality guidelines.
Improve automation stability, execution time, coverage, and maintainability.
Lead debugging and root-cause analysis of complex automation and system issues.
Mentor automation engineers and conduct code reviews.
Collaborate with R&D to improve product testability and quality.
Evaluate and introduce new technologies and approaches, including AI-based testing and automation.

How do R&D teams look like in our company?
our company R&D teams are running as separate squads, each executing on their own goals and focusing on their products. We do sprints, working to create a fast impact.
Our squads are small (3-5 people) and work closely with product managers and designers to bring changes to life.
We are as Full Stack as we can, not afraid to touch and change whats needed to get the needle moving. Frontend, Backend, Devops, Quality and more. We do it all and we own what we do.
We work together. We use each other to be better and move faster.
Why should I work at our company?
You will build new things and improve on products that reach millions of customers.
You will learn how to start up -
Data based decision making.
Learn from companys experience launching multiple products.
You will work with other senior engineers and keep growing together with them.
You will use technology to create great experiences for customers.
What's life at our company like?
We built the company the way we build products. We aim to have the best experience for our employees. We created a great working environment for employees. We care deeply about each other and what we do. We make data-based decisions on how our culture should look, gathering as much feedback as possible from employees and striving to build the best experience for all. We ensure whoever joins us shares our vision and our way of operating.

We are looking for an experienced and hands-on Automation Tech Lead to lead the technical direction of our automation infrastructure and drive the adoption of scalable, reliable, and maintainable automation solutions.
The role combines hands-on engineering, technical leadership, architecture, and mentoring, working closely with QA, R&D, DevOps, and Product teams.
What you'll do:
Define and drive the technical strategy and architecture of automation.
Design, develop, and maintain scalable automation frameworks.
Develop automated tests using Python and pytest.
Integrate and maintain automation within CI/CD pipelines, including Jenkins.
Define automation best practices, coding standards, and quality guidelines.
Improve automation stability, execution time, coverage, and maintainability.
Lead debugging and root-cause analysis of complex automation and system issues.
Mentor automation engineers and conduct code reviews.
Collaborate with R&D to improve product testability and quality.
Evaluate and introduce new technologies and approaches, including AI-based testing and automation.

We're seeking a Sr. Director, Platform to lead our software platform group - a team of ~45 engineers distributed across Israel, India, Ukraine, and the UK. This is a hands-on leadership role combining people management with technical direction, driving a cloud-native Kubernetes-based platform that powers RAN deployments globally.
You'll report to the VP of RANOps R&D and play a critical role in shaping how we build and scale our platform software.
Key Responsibilities:
Lead and develop a multi-regional engineering organization (~45 engineers) across 5 teams and 4 countries and multiple time zones
Drive technical strategy for the cell-site software platform, built on Kubernetes (EKSA/SUSE) in cloud-native architecture
Champion cross-team collaboration within the broader R&D organization
Spearhead adoption of AI-assisted development tools and workflows to accelerate engineering productivity
Improve system debuggability and observability across complex, distributed deployments
Lead modernization efforts for legacy codebases while maintaining production stability
Define and formalize team-level KPIs aligned with SAFe practices
Enhance CI/CD pipelines and automation to improve delivery velocity and quality
Balance real-time constraints, resource management, and networking requirements inherent to RAN software