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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.

we are looking for a System Architecture Team Lead (Platform, Cloud).
The System Architecture Team Lead will lead and mentor a team of architects responsible for the foundational platform, kernel optimizations, and cloud-native infrastructure. This role focuses on the "engine" of the system-ensuring a scalable, high-performance, and resilient architecture built on Kubernetes, microservices, and advanced networking.
You will serve as the primary technical authority for our infrastructure strategy, driving the evolution of our cell-site software platform and integrating AI-driven capabilities into our architectural framework.
What you will do:
Lead & Mentor: Lead an existing team of 6-7 System Architects, fostering a culture of technical excellence and continuous architectural innovation.
Standardize Governance: Establish and enforce standardized methodologies for the team, including templates and quality bars for Technical Specification Documents (TSDs) and architectural RFCs.
Platform Strategy: Drive the technical strategy for the cell-site software platform, built on Kubernetes (EKSA/SUSE) in a cloud-native architecture.
AI & Productivity: Spearhead the adoption of AI-assisted development tools and workflows to accelerate engineering productivity and automate Root Cause Analysis (RCA).
Operational Integration: Ensure architects actively participate in planning and execution of tasks, defining and formalizing feature-level KPIs.
Observability & Debuggability: Lead initiatives to improve system observability and debuggability across complex distributed deployments.
Systems Engineering: Balance real-time constraints, resource management, and networking requirements inherent to high-performance systems.
Feedback Loop: Incorporate feedback from deployed systems into product improvements and the technical roadmap.

We are looking for a hands-on Senior Applied AI Evaluation Engineer to improve how our RAN R&D organization analyzes engineering tickets, supports Root-Cause Analysis, recommends ownership, and learns from resolved cases.
You will build rigorous evaluation datasets, establish meaningful baselines, compare internal and approved external tools, analyze failure modes, and prototype improvements across retrieval, classification, prompting, agent workflows, and model selection.
This role is focused on measurable, evidence-based improvement rather than AI demonstrations. You will assess whether AI-generated conclusions are accurate, grounded in evidence, appropriately calibrated, and useful to engineering teams.
As a secondary area of focus, you will analyze engineering workflows at case and team level to identify bottlenecks, handoffs, dependencies, and opportunities for process improvement.

As a Backend Developer, you will take part in all stages of development, from architecture and design to deployment and production ownership. You will work closely with developers, product managers, and designers to build scalable, high-quality systems and influence technological and architectural decisions along the way.

We are looking for a hands-on Senior RAN Systems Engineer to lead technical evaluations and Proof-of-Concept activities across our RAN R&D organization.
You will take complex engineering questions and turn them into structured, reproducible evaluations that support clear technical decisions. You will define the scope and success criteria, analyze the relevant evidence, run the required lab, simulation, automation, or data-analysis workflows, and present clear conclusions and recommendations.
Your work will directly influence engineering priorities and help teams reach faster, better-supported technical decisions.
This is a senior individual-contributor role combining strong RAN knowledge, hands-on investigation, structured problem-solving, and end-to-end technical ownership.
What you will do:
Own selected RAN POCs and technical evaluations from initial definition through a clear, evidence-based conclusion.
Define the scope, evaluation approach, success criteria, required evidence, and execution plan.
Analyze logs, traces, configurations, software builds, test results, ticket history, and relevant lab or field data.
Run evaluations using lab environments, simulations, automation frameworks, dashboards, and other engineering tools.
Develop practical Python or shell scripts for data preparation, validation, and repeatable analysis.
Reproduce key findings, identify missing evidence, and clearly communicate assumptions, limitations, and recommendations.
Work with Development, QA, System Integration, Lab, Release, Field, and Radio teams to close technical and data gaps.
Convert recurring manual activities into reusable scripts, templates, checklists, and working practices.

We are looking for an experienced Incident Responder to join our newly established team in Israel, and spread the power!
Responsibilities:
Investigate real-world cyber-attacks on customers cloud environments and cloud workloads, understanding their root causes and the full scope of compromise, leveraging the platform.
Perform proactive threat hunting to identify undetected cyber-attacks and cloud threats within customer environments.
Collaborate with customer teams during engagements to effectively respond to threats.
Develop and deliver professional engagement reports, including high-level summaries and deep dives into technical findings.
Develop and document incident response methodologies, best practices, and standard operating procedures tailored to cloud environments and cloud workloads.
Collaborate with the threat research and engineering groups to refine and enhance incident response detections, tools, and features, based on real-world investigation experiences.