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We empower enterprises and service providers with cutting-edge Storage platforms that redefine performance, reliability, and cyber resilience at scale. Were looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of our NAS team. The selected candidate will be part of a professional team that develops in C ++ over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.
Responsibilities:

* Design, develop, and maintain SW components for NAS, including file system management.
* Implement & optimize network file-sharing protocols (NFSv3/4, SMB/CIFS, S3).
* Troubleshoot and resolve complex issues related to performance, data integrity, and reliability through clustered env.
* Collaborate with QA, PM and other RnD groups (Core, UI /CLI, mgmt API, platform/HW).
* Write clean, well-tested, maintainable code and participate in code reviews.
* Improve code quality ( Python suites, code coverage, static analysis, memory leak detection).
* Contribute to system architecture decisions, especially around scalability, high availability, and fault tolerance.
* Monitor and improve system performance under high I/O and concurrent access conditions.
* Document technical designs, APIs, and operational procedures.

Nuvoton Israel is a leading supplier of custom SoC and security hardware solutions for the computing and server markets. We are looking for a motivated Software Engineer to join the CAD team at Nuvoton and grow with us over the long term. As a CAD Developer, you will participate in Physical Layout Verification (DRC/LVS/ERC) of semiconductor chips and develop and maintain in-house CAD infrastructure and automation tools used by engineering teams.

We're looking for a Data Science Tech Lead to take technical and delivery ownership of this team, a hands-on senior IC role. You'll set research direction, own client-facing delivery end-to-end, and drive how the team builds and scales its use of GenAI tooling and agentic capabilities. You'll work closely with other data scientists & analysts and partner daily with Solutions, Implementation, and Engineering. This role comes with real latitude to shape research direction and influence our product offering and roadmap - not just execute against a backlog.

What you will do
1. Research Direction

Set the technical research agenda for our tabular prediction models.
Guide how we incorporate temporal signal - case history, lag features, schedule snapshots- without defaulting to time-series techniques that don't fit our data.
Own our strategy for extracting value from unstructured data sources via LLMs - feature extraction, embeddings, or fine-tuning - balancing accuracy, cost, and constraints like latency and privacy.
Set standards for experimentation, evaluation, and model guardrails.
2. Client Project Delivery

Own DS delivery end-to-end across concurrent client engagements - from discovery through modeling, validation, and go-live.
Partner with Solutions and Implementation on discovery and rollout; represent Data Science in client meetings, presenting results directly to stakeholders.
Ensure delivery lands inside the product, on timeline, coordinating with Engineering on productionization.
Track delivery risk across the client portfolio, flagging blockers and scope changes early.
3. GenAI Tooling & Team Capability

Build the team's onboarding and delivery playbook for new use-cases and encode it as reusable Claude skills/agents
Turn repeatable steps in the DS workflow into standardized, shared tooling.
Raise the team's GenAI fluency through mentoring on Claude Code and related tooling.

Required Senior Mobile Developer (Flutter)
Herzliya, IL
About the role:
Finonex is a long-standing, stable trading-platform company, delivering advanced online trading technology to global partners for over a decade.
Join our Mobile R&D team and help build high-scale mobile trading applications used by customers worldwide.
As a Senior Flutter Developer, you will design, develop, and maintain cross-platform mobile applications while contributing to architecture, performance, and engineering best practices in a fast-paced fintech environment.
In this role you will:
Develop and maintain Flutter applications for Android and iOS.
Contribute to architecture, scalability, performance, and code quality initiatives.
Build and integrate REST APIs, WebSockets, and third-party SDKs.
Collaborate with Product, Design, Backend, QA, and DevOps teams.
Support release processes, deployments, and production troubleshooting.
Improve application stability, performance, and user experience.
Mentor team members and participate in code reviews.

We are seeking a senior embedded software engineer to serve as the technical lead for our embedded team, developing the real-time software at the heart of a first-in-market surgical robotic platform.

This is a hands-on, individual-contributor role: you will help shape the technical direction, make sound engineering decisions, and take ownership of delivering features end to end, while remaining deeply involved in the code. As the system is designed collaboratively by the team, strong cross-team collaboration is as important as individual technical excellence. This is safety-critical software, and we hold a high standard for rigorous design, testing, and code quality.

Responsibilities:

Serve as the technical and feature lead for the embedded team, guiding design decisions and mentoring peers through code reviews (this is not a people-management role).
Drive the design and development of our real-time embedded software, and own the delivery of features end to end.
Uphold a high standard of code quality through code reviews, best practices, and continuous improvement.
Remain hands-on, personally developing the most complex and safety-critical components in C/C++.
Collaborate closely with other teams across the company to ensure technical alignment and shared progress.
Take ownership of delivery, ensuring features are completed on schedule and to the quality this product demands.
Make technical decisions independently where appropriate, while knowing when to involve the wider team.

We are looking for an experienced and hands-on QA Lead to establish and lead the Quality Assurance function for an advanced Industrial AI platform that combines Industrial Connectivity, Edge Computing, Cloud Technologies, and AI-driven solutions.

This is a unique opportunity to build the QA function from the ground up while taking ownership of quality across a complex and evolving software platform.

The role combines hands-on testing, test automation, quality strategy, process definition, and close collaboration with Software Engineering, AI, and DevOps teams.

Initially, you will be the primary QA professional within the organization, responsible for defining methodologies, building testing capabilities, and ensuring high product quality. As the organization grows, you will have the opportunity to expand and lead a small QA team.

Job Responsibilities
Establish and lead the QA function across the organization's software products.
Define and implement QA methodologies, standards, processes, and best practices.
Create and maintain test strategies, test plans, test cases, and quality metrics.
Design, develop, and maintain automated test frameworks and automated test suites.
Perform hands-on manual and automated testing across software releases.
Validate functionality across Cloud, Edge, and AI-enabled system components.
Test web-based user interfaces, backend services, APIs, and system integrations.
Collaborate closely with Software Engineers, AI and Data Science teams, and DevOps engineers to ensure product quality throughout the development lifecycle.
Define and implement quality gates for software releases.
Identify, document, track, and help resolve software defects.
Drive continuous improvements in software quality, testing coverage, and release confidence.
Contribute to performance and scalability testing initiatives as the platform evolves.
Help build and grow the QA organization over time.

We are looking for an experienced and highly capable Lead Software Engineer to help drive the next generation of an advanced Industrial AI platform that combines Industrial Connectivity, Edge Computing, Cloud Technologies, and AI-driven solutions.

This is a highly technical, hands-on role for an engineer who enjoys solving complex software challenges while also influencing architecture, technology decisions, and engineering best practices.

This role is intended for a highly technical engineer who enjoys remaining deeply involved in software development while helping shape architecture and technical direction.

You will play a key role in shaping the evolution of a platform that collects and processes industrial data, integrates with manufacturing systems, leverages AI technologies, and delivers actionable insights and optimization capabilities in near real-time.

This is not a people-management role. The position combines significant hands-on software development with technical leadership, architectural ownership, and close collaboration with engineering, DevOps, and AI teams.

Job Responsibilities
Design, develop, and maintain core components of a modern Industrial AI platform.
Write production-quality code and take an active hands-on role in the implementation of critical software components.
Lead the development of complex features and technical solutions from design through delivery.
Contribute to the architecture and technical direction of software products across the organization.
Drive architecture discussions, design reviews, and technology evaluations.
Design scalable, reliable, and maintainable software solutions.
Collaborate closely with AI and Data Science teams to enable seamless integration of AI capabilities into software products.
Work with Edge and Cloud technologies to support distributed industrial systems.
Provide technical leadership, mentorship, and guidance to development teams through active involvement in design and implementation.
Partner with DevOps teams to ensure smooth deployment processes, operational excellence, and platform scalability.
Help evolve multiple products toward a unified and scalable platform architecture.
Contribute to software engineering standards, best practices, code quality, and technical excellence across the organization.

We are looking for a Senior Data Scientist to lead the development of machine learning solutions powering real-time decision-making and recommendation systems in industrial production environments.

This is a hands-on role with end-to-end ownership. You will be responsible for the full modeling lifecycle, from problem framing and data exploration to modeling, evaluation, deployment, and production impact. You will work with complex, noisy sensor and control data, building models that must be robust, interpretable, and reliable in real-world conditions.

You will collaborate closely with deep learning researchers, research engineers, and domain experts, and play a key role in shaping how data science is applied across the system.
Key Responsibilities


Design, develop, and evaluate machine learning models for real-time industrial applications
Own the end-to-end modeling pipeline, including problem formulation, data preparation, feature engineering, model development, evaluation, deployment, and post-production monitoring
Translate ambiguous production challenges into well-defined data science problems
Lead feature engineering and data exploration on complex sensor and control datasets
Define KPIs, evaluation frameworks, and experimentation strategies
Ensure model robustness over time, including monitoring, drift detection, and continuous improvement
Work closely with data and research engineers to bring models into production
Drive best practices in modeling, validation, and reproducibility
Communicate insights, trade-offs, and recommendations clearly to stakeholders

We are looking for an extraordinary FW engineer to drive state of the art technologies for our products.
In this role, you will work with a variety of disciplines and products, developing software and firmware at the WiFi MAC Level.

You'll ensure that every aspect of our products works both on its own and together.
Its our goal to make our products smarter and more efficient than ever before.
Join us, and youll directly impact the functionality of devices people use worldwide.

Description
As a senior WiFi MAC Software Engineer, your contributions will include the following:
Writing design documents. Designing and implementing software and firmware for WiFi and 802.11 MAC Level features at the MAC. Optimise and fine-tune the firmware and MAC Level algorithms.
Involvement in firmware architecture design, and system level requirements from top-level down to block level.
Develop and support OSX development tools and kernel drivers.
This role requires high sense of responsibility and ability to work in team.
The people who work here have reinvented and defined entire industries with our products and services.
The same passion for innovation also applies to our practices - strengthening our commitment to leave the world better than we found it.
You should join us if you want to help deliver the next amazing Apple product!.

We're seeking a passionate and skilled experienced Networking Embedded Firmware Engineer to play a pivotal role in delivering the next generation of our silicon. In this highly visible position, you'll be at the intersection of hardware and software, collaborating closely with logic designers to deeply understand system-level operations and performance requirements for hardware validation.

In this role, you will develop critical low-level embedded firmware specifically designed to validate hardware functionality, ensure conformance, and drive performance during the bring-up and testing phases of new silicon. This involves designing, developing, and integrating complex drivers, diagnostic tests, and infrastructure essential for SoC bring-up, post-silicon validation, and debugging activities. Ultimately, you'll lead hands-on firmware development, system-level validation, and problem-solving at the hardware-software interface in a dynamic, collaborative environment, with your work directly enabling the successful launch of our future products by ensuring our silicon meets the highest standards.

This role sits at the intersection of customers, Engineering, Data Science, GIS, Sales, Marketing, and Customer Success. You will translate validated market needs into scalable products, clear technical requirements, and prioritized roadmaps.

The ideal candidate combines strong product strategy, technical fluency, customer discovery, and hands-on product ownership, with experience building B2B technology products in data-rich or infrastructure environments.



Key Responsibilities


Product Strategy & Roadmap

Own and evolve the product roadmap in line with company and revenue goals.
Shape the positioning and evolution of Recover, EarthWorks, EO Discover, and future SaaS, DaaS, API, and AI offerings.
Prioritize scalable, recurring product opportunities over one-off customer requests.
Build business cases and define product KPIs to support investment and prioritization decisions.


Customer & Market Discovery

Conduct structured Voice of Customer research with utilities, engineering firms, agencies, and partners.
Translate customer workflows into clear problem statements, personas, and Jobs-to-be-Done.
Validate concepts through prototypes, MVPs, pilots, and market feedback.
Assess market size, adoption potential, and willingness to pay.


Product Ownership & Delivery

Translate strategy into epics, features, user stories, and acceptance criteria.
Own and prioritize the backlog based on customer value, strategic fit, dependencies, and effort.
Partner closely with Engineering, Data Science, UX, and GIS through planning, refinement, development, and release.
Coordinate UAT, define release criteria, and ensure clear traceability from customer problem to measured outcome.


Technical Product Leadership

Work across SaaS, cloud platforms, APIs, integrations, AI/ML, geospatial analytics, remote sensing, and SAR.
Translate technical capabilities into customer-facing products and workflows.
Understand architecture, data flows, integrations, and technical trade-offs well enough to work effectively with R&D.
Challenge technology-led development that lacks clear customer or market value.


Go-to-Market & Product Performance

Partner with Marketing, Sales, and Customer Success on ICPs, packaging, pricing, positioning, launches, pilots, and POCs.
Support strategic customer and partner engagements.
Track product success through adoption, retention, revenue, customer value, quality, and time-to-value.
Use customer feedback, product usage, and competitive insights to drive continuous improvement.


Product Operations

Improve intake, prioritization, release-management, and product governance processes.
Build practical templates and dashboards for roadmaps, business cases, launches, and product performance.
Strengthen coordination across Product, Engineering, Operations, Sales, Marketing, and Customer Success.

We are seeking a BSP Software Design Engineer to join our R&D team in Israel.

The role involves developing and integrating Board Support Packages (BSPs) and low-level drivers for real-time embedded systems operating in mission-critical and rugged environments.

Key Responsibilities

- Design, implement, and maintain BSPs and device drivers for embedded platforms.

- Work closely with hardware, systems, and QA teams to ensure robust hardware-software integration.

- Participate in bring-up activities, debugging, and optimization of embedded platforms.

- Contribute to system architecture discussions and provide technical input on platform design.

The Director of AI Enablement is both a builder and a transformation leader, someone who can identify opportunities, design and implement AI solutions, and drive adoption across the organization to create measurable business value.

Reporting directly to the CEO, this is a highly visible, hands-on leadership role at the intersection of business transformation, technology, and organizational change.

The successful candidate will lead AI roadmap, build practical AI solutions, drive adoption across functions, and help transform how work is performed throughout the organization.

What Will You Do?

Define and execute AI roadmap.

Identify, prioritize, and implement high-impact AI opportunities across the business.

Partner with business, operational, engineering, and corporate functions to understand workflows, pain -points and improvements opportunities.

Translate business challenges into practical AI use cases and measurable outcomes.

Design, build, pilot, and scale AI-powered solutions, including AI agents, copilots, automations, knowledge assistants, and business applications.

Partner with IT, Engineering, Infrastructure, and Security teams to ensure scalable, secure, and sustainable solutions.

Lead the transformation, not just the technology; drive AI adoption across departments and help leaders redesign processes and ways of working to maximize AI value.

Work hand-in-hand with HR and business leaders to lead the organizational transformation required to successfully adopt AI, build internal capabilities, and embed new ways of working across the company.

Establish and lead the core pillars of the AI Enablement program: Adoption, Infrastructure, and Solution Development.

Build and lead a community of AI Builders and Leaders across the organization.

Establish AI governance, Responsible AI practices, and security standards.

Measure and communicate business impact through adoption, productivity gains, efficiency improvements, time savings, and ROI.

Success is measured not only by building AI solutions, but by driving meaningful improvements in productivity, efficiency, quality, decision-making, and business performance across the organization.