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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.

our company is a leading supplier of custom SOC and security hardware solutions for the computing and server markets. We are looking for a highly experienced CAD Engineer from the semiconductor industry to join Nuvoton as a key contributor. In this role, you will help modernize and upgrade our design environment, EDA infrastructure, and in-house CAD tools to support advanced technology nodes, improve engineering efficiency, and enable future growth. You will also play a key role in supporting the design and verification activities of current and future semiconductor projects.

We are looking for a passionate and dynamic Mechanical Engineer, with a hands-on approach, to join our R&D team.

The role involves the research and development of robotic mechanisms incorporating motors, gears and sensors, from concept to mass production.



Responsibilities:

Design and develop complex robotic mechanisms and assemblies from concept through production.

Lead mechanical development activities across the full product lifecycle, including concept generation, detailed design, prototyping, drawing release, manufacturing support, integration and verification.

Define and execute test and validation methodologies to confirm design performance and compliance with engineering requirements.

Generate and maintain high-quality engineering documentation, including requirements, calculations, design reviews, protocols, reports, and change orders.

Collaborate closely with cross-functional stakeholders including systems engineering, software, electronics, manufacturing, quality, and operations.

Manage technical interactions with suppliers and support component sourcing, qualification, and manufacturability activities.

We are seeking a highly skilled Algorithm Engineer with a strong focus on deep learning and problem-solving. The ideal candidate will have proven experience in end-to-end development - from research and prototyping to production deployment - and a passion for applying advanced algorithms to transform the field of medical robotics.

Responsibilities:

Design, develop, and deploy cutting-edge algorithms to enhance the accuracy, robustness, and efficiency of robotic surgical systems.
Apply deep learning, computer vision, and advanced data analysis techniques to solve challenging perception and decision-making problems.
Lead end-to-end development cycles: problem definition, algorithm design, implementation, optimization, and integration into real-time systems.
Collaborate with multidisciplinary teams, including software, hardware, and clinical experts, to ensure algorithms meet system and clinical requirements.
Validate and refine algorithms through simulation, lab testing, and clinical feedback.

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 a Technical support to join our growing robotics startup. This role is hands-on and multidisciplinary, involving installation, maintenance, troubleshooting, and on-site support of complex robotic systems. The systems combine mechanics, hardware, electronics, and advanced software, and require strong system-level understanding. The position includes work at our companys facilities as well as international travel, primarily for system installations, demos, and field troubleshooting. As part of our rapidly growing, small, motivated, and multi-disciplinary team, this position is the first dedicated role in its domain, providing a unique opportunity to contribute to a new area within the company.



Responsibilities

Maintain, test, and troubleshoot robotic systems at the companys facilities
Install, calibrate, and commission robotic systems at customer and partner sites abroad
Lead on-site system setup and troubleshooting during demos and early deployments
Diagnose and resolve hardware, mechanical, and software issues in the field
Perform hands-on replacement and repair of mechanical and electromechanical components
Work closely with R&D teams (software, mechanical, electrical, algorithms) to deeply understand the system
Gather knowledge from internal engineering teams and apply it independently in the field
Provide technical feedback from the field to improve system robustness and usability
Document issues, procedures, and best practices

Were looking for a Technical Integration Manager to join our team and help connect the dots between our business goals and R&D efforts. This hybrid role is ideal for someone who enjoys working between business and technology, combining project coordination with technical understanding.
Youll be the main connection between our business units and R&D - understanding business needs, translating them into clear requirements, aligning priorities, and helping teams deliver successfully. Youll also support product and project activities to move initiatives forward.

Responsibilities

Serve as the main point of contact between business stakeholders and R&D
Translate business needs into clear requirements and technical briefs
Work closely with R&D to ensure alignment on scope, timelines, and delivery expectations
Own development initiatives end-to-end spec, tasks, QA, rollout, and monitoring whether you build them yourself using AI tools, automation and no-code, or hand them to R&D developers.
Write technical specs and acceptance criteria, and manage the work in task management tools.
Guide and train the business departments on new features documentation, walkthroughs, and ongoing support
Coordinate cross-functional meetings, updates, and ongoing communication
Assist in planning and prioritizing roadmaps and project timelines
Track and report on progress, risks, and blockers across multiple initiatives
Solve complex tech problems and support the business departments
Build new dashboards for internal and external users using tools like Google Data Studio, Redash, Tableau and others.

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.