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As a Full Stack Software Engineer, youll work across the stack to design, implement, and ship high-quality workflows that solve real problems for real users. Youll collaborate directly with product and enterprise customers, see your code in production within days, and be part of a team that values ownership and thoughtful execution.
What youll do:
Develop and deliver full-stack AI-powered applications on top of our companys platform.
Work closely with customers and internal teams to tailor solutions.
Extend the platform and UI/UX layer as needed.
Collaborate with platform and research teams to integrate AI capabilities into production use.
Write clean, tested, and maintainable code.

As a Senior Software Engineer you'll help build and evolve our AI Agent platform for IT Service Management. You'll take end-to-end ownership of product features, collaborate closely with cross-functional teams, and deliver AI-powered capabilities for enterprise customers.
What you'll do:
Build and scale full-stack features across frontend, backend, and AI agents.
Develop AI agents using Claude, Gemini, and OpenAI APIs.
Design reliable, scalable, and cost-efficient agent workflows using context management, prompt caching, and tool use.
Define engineering standards and contribute to architecture decisions.
Work closely with product, engineering, and research teams.

Were looking for an Engineering Tech Lead to help drive some of the most strategic technical initiatives at our company. This is not a traditional Tech Lead role. Were looking for someone who is deeply technical and highly hands-on, but also knows how to think strategically, lead architecture decisions, and represent the company in front of enterprise customers and senior stakeholders. Youll work across multiple teams and domains, partnering closely with Platform, Product, and Engineering teams to design and deliver AI-powered enterprise solutions at scale. One moment you might be deep in architecture or code, and the next youll be in a room with customer executives helping guide critical technical decisions. We work on site from our offices in Tel Aviv.
What Youll Do
Lead architecture and technical direction for strategic enterprise AI initiatives
Work directly with some of the worlds largest enterprises to design and deliver scalable AI-powered solutions
Partner cross-functionally with Platform, Product, and Engineering teams across the company
Stay deeply hands-on with the code and engineering teams
Drive complex technical decisions across scalability, reliability, performance, and system design
Help customers solve real production challenges and build long-term technical trust
Design versatile enterprise-grade solutions across different customer environments and use cases
Influence engineering standards, architecture practices, and long-term technical direction
Operate in a fast-moving, high-ownership environment where execution speed matters.

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 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

We're looking for engineers who are curious, innovative, and passionate about solving difficult system-level problems while embracing AI as part of modern engineering.
What you'll do:
Design and execute end-to-end integration and validation scenarios across multiple product domains.
Validate new features and ensure seamless interoperability between distributed system components.
Investigate complex cross-component issues through deep technical analysis and root-cause investigation.
Analyze application and system logs to identify issues and drive resolution.
Develop a strong understanding of system architecture, data flows, and interactions between services.
Collaborate closely with Software Engineers, Architects, Product Managers, and cross-functional engineering teams.
Participate in feature planning by providing an integration and validation perspective early in the development lifecycle.
Continuously improve validation methodologies, engineering processes, and overall product quality.
Leverage AI tools to accelerate troubleshooting, technical research, documentation, and engineering productivity.
Challenge existing approaches and introduce innovative ideas that improve engineering efficiency and product quality

What you're applying for?
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 the company's 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.

We are looking for a highly motivated and experienced Sr. Principal DevOps Engineer to design, build, and maintain scalable, secure, and highly available cloud infrastructure for our next-generation products.
The role drives DevOps activities across the engineering organization, with a strong focus on automation, CI/CD optimization, infrastructure as code, and the use of modern AI tools to improve development efficiency, reliability, and the software delivery lifecycle.
What you'll do:
Design, implement, and maintain scalable, secure, and highly available cloud infrastructure (e.g., AWS, Azure, GCP)
Develop and optimize CI/CD pipelines to improve deployment speed and quality
Monitor system performance, troubleshoot issues, and ensure high uptime and reliability
Automate provisioning, configuration management, and monitoring using tools like Terraform, Ansible, or similar
Collaborate with software engineers to understand and support their infrastructure needs
Define and enforce best practices for DevOps, infrastructure as code, security, and observability
Lead AI initiatives within the engineering group by leveraging AI-driven tools and integrating them into the CI/CD pipeline to enhance code quality and optimize the software development lifecycle

At our company, we create magical physical products that help people love their homes. With easyplant, weve reimagined what plant care can feel like. Smart hardware, self-watering systems, embedded sensors, efficient fulfillment, and a beautifully simple app come together to create a seamless experience.
The easyplant ecosystem spans software, hardware, mobile, logistics, AI, and commerce. We design the products, build the factory tools, ship the boxes, and write the code. Nearly every part of the customer experience is owned in-house, and we see software as a core advantage.
Why this role matters
Were looking for an engineering leader who is both hands-on and product-driven. Someone who thrives on ownership, loves the ambiguity of building something new, and wants to shape systems that create delight at scale.
You will lead the next chapter of easyplants tech evolution. This includes launching our next-generation product, easyplant 2.0 - a fully electronic, sensor-powered version of the self-watering system. easyplant 2.0 will give customers precise insight into water levels, light exposure, and humidity. Its a true IoT product, blending mobile software with embedded hardware, firmware, and real-time data.
Youll also lead the rebuild of our mobile experience, architect internal tools that support global fulfillment, and enable a network of manufacturing sites with no developers on site.
What makes this role special
You will work across layers of technology, from mobile apps and backend systems to embedded sensors and factory dashboards
You will shape the core product, not just its interface, influencing both what we build and how we build it
You will lead the technical effort behind easyplant 2.0, a connected device that blends real-time sensing with beautifully simple UX
You will help build fulfillment systems that operate globally, adapt to complexity, and require zero engineers on site
You will work directly with product, operations, design, marketing, and data to solve high-leverage challenges with speed and creativity.