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In this role, you will serve as the technical bridge between ASIOs products, customers, partners, and the field. You will lead product demonstrations, technical briefings, customer training, pilots, and field evaluations, while supporting the technical aspects of the sales process.

This is a hands-on, customer-facing role for someone who can understand complex systems, operate them in real-world conditions, communicate with different audiences, and bring valuable field insights back to Product and Engineering.

Key Responsibilities

Present and demonstrate products to customers, partners, and at conferences through live demonstrations, technical briefings, and proof-of-concept sessions.
Deliver customer training and prepare instructional materials for operational and training environments.
Lead system bring-up and configuration at customer sites, including subsystem connectivity and Tier 1 technical support.
Run pilots and field evaluations end-to-end, from setup and configuration through operation and evaluation.
Support the technical side of the sales cycle, including customer requirements, technical discussions, and RFI/RFP responses.
Adapt technical presentations and demonstrations to different audiences, from field operators to senior command and procurement teams.
Maintain and continuously improve product demo environments, scenarios, and training materials.
Work closely with Product Management, Product Owners, System Engineering, UX, Operations, and Engineering teams.
Capture customer and field feedback and translate it into actionable insights for Product and Engineering.
Support customers in challenging operational environments, including degraded connectivity and GNSS-denied conditions.

We are looking for an experienced Embedded Software Engineer to join our team and develop advanced software for complex airborne and ground-based electro-optical systems.

In this role, you will work on real-time embedded software, image and video processing, sensor integration, and system-level capabilities. You will collaborate closely with software, algorithms, hardware, validation, and system engineering teams throughout the development lifecycle, from concept and implementation to integration and field testing.



Responsibilities

Develop and optimize software for real-time embedded systems.
Design, develop, and debug software using C++ and Java.
Work in Linux/UNIX embedded environments.
Integrate cameras, IMU sensors, LIDAR, and additional peripherals.
Contribute to image processing, video analysis, and computer vision capabilities.
Investigate system issues, perform debugging, and optimize performance.
Participate in system integration, validation activities, and field testing.
Collaborate with multidisciplinary development teams.

Rail Vision is a multidisciplinary company headquartered in Ra'anana. We are the leading provider of obstacle detection & classification systems in the railway industry around the globe, supporting Autonomous Train Operations. With our unique cognitive sensor fusion technology, based on advanced electro-optic sensors and deep learning, Rail Vision systems detect objects and obstacles on and along the tracks from up to 2 k”m away, in real-time, and in diverse weather and lighting conditions. We provide systems capable of operating in various environments: On mainline and high-speed rail, in urban environments, and in challenging switchyards. Rail Vision offers a range of complementary features based on collected and analysed data: Image-based Navigation, GIS Mapping and Predictive Maintenance. We’re looking for an experienced Deep Learning & Computer Vision research engineer to join our Algorithms group. What will you do: Be a researcher of the core deep learning algorithms and partnering with other teammates. Developing our next generation 2D/3D perception models that utilizes CV in complex environment. Work across full ML cycle: data, design, train and debug, solvIng complex problems that aligned to customer KPIs.

We are looking for an experienced SW Director

You will report to the Sr. Director of Software Devices


Location

Hybrid - working at least 3 days a week from our offices in Caesarea


What you will be doing:

Lead an engineering group composed of 5-8 scrum teams, developing the SW for our networking HW products as well as the SW for the production test system of these HW products.

We are looking for a true leader with great communication skills, which will uphold a high technical bar, and will be responsible to inspire the team members to achieve their optimum performance and career development.

This role requires:

Collaboration with stakeholders across the organization such as Product Management, PMO, HW development team, Production engineering team and more.
High technical competency, ability to initiate and drive all SW development life cycle from planning, analysis, design, implementation, testing and integration and maintenance of deployed systems.
Working in an agile environment, with a goal to build high quality products at a fast pace, driving engineering excellence through constant improvement in processes, tools, and practices.
Leading a technical discussion, together with our product team, with our customers and partners.
Keeping our team members challenged and engaged.

We are looking for a Junior SW Development Engineer to join our team.
You will be based in Caesarea, Israel.



Location
Hybrid - Working at least 3 times a week from the office



What you will be doing:

As a member of one of our global Agile SW Scrum teams, you will contribute to the development of cutting-edge, cable industry-leading products and services.
Your work will involve:

C/C++ Software Development: Design and implement features within the MAC and upper layer protocol domains, leveraging the latest advancements in C++ technology.
Advanced Networking Solutions: Contribute to solutions running on Linux servers using containerized environments (Kubernetes), employing state-of-the-art technologies and methodologies.
Troubleshooting & Debugging: Investigate and resolve complex issues from internal QA teams and external customer reports.
Agile Methodologies: Plan, develop, and deliver features in an Agile development environment.

We are looking for an experienced Lab Support Technical Leader to lead our R&D lab operations.
This role combines technical leadership, operational management, hands-on work and strategic planning across worldwide labs. You will report to the Lab Manager.

Why Join Us?

Opportunity to lead global broadband R&D lab infrastructure.

Work with cutting-edge DOCSIS, PON, virtualization, and networking technologies.

High-impact role with strong technical ownership and leadership influence.



Location

On-site - working 5 days a week from our office in Caesarea.



What you will be doing:

Lead R&D lab operations supporting large-scale broadband and networking environments.

Lead and mentor the Lab Support team, including goal setting, KPIs, SLA management, prioritization, and professional development.

Providing hands-on support for lab infrastructure installations and deployments when required.

Architect, design, and maintain advanced networking infrastructures, including switches, routers, servers, and virtualization platforms.

Lead deployment and support of new lab installations.

Establish and maintain documentation standards across Confluence, Jira, Visio, and related systems.

Lead automation and operational efficiency initiatives to improve scalability,

Provide regular executive-level reporting on lab operations, project status, risks, and roadmap progress.

Manage timelines, ETAs, and stakeholder expectations across multiple concurrent activities.

We're looking for a Sr. DevOps Engineer to help reshape how our infrastructure and delivery pipelines are built - not just automating tasks, but engineering the platforms and AI-assisted tooling that let our engineers ship faster, safer, and with more confidence. You'll report to the DevOps Sr. Manager.

This isn't a "keep the lights on" role. You'll take real ownership of how our CI/CD and infrastructure evolve, with the autonomy to decide where AI-assisted tooling (copilots, LLM-driven diagnostics, intelligent automation) can remove toil and accelerate the software delivery lifecycle for the teams that depend on us. If you like turning messy, manual processes into reliable, self-service platforms, you'll feel at home here.


Location
Working at least 3 days a week from the office in Caesarea


What you will be doing:

Operate and extend our Kubernetes and container-based platforms, orchestrating deployments across AWS.
Own and evolve CI/CD pipelines spanning Debian packaging, container orchestration, and cloud-native deployments - increasingly augmented with AI-assisted testing, anomaly detection, and self-healing automation.
Design and build Python modules, tools, and services that power our CI frameworks, packaging processes, and operational automation - with AI coding assistants (e.g., Claude Code, Copilot) as a standard part of your workflow for scaffolding, refactoring, and code review.
Partner with development teams to diagnose and resolve complex issues across build systems, APIs, and dev environments, leveraging AI-assisted log analysis and root-cause tooling to cut time-to-resolution.
Maintain and improve automated build/test pipelines using Jenkins and Argo Workflows.
Apply infrastructure-as-code practices with Terraform, ArgoCD, and Helm to keep environments reproducible and easy to reason about.
Explore and pilot AI-driven observability and incident-response tooling (e.g., anomaly detection on metrics/logs, automated runbook suggestions) to make our systems more self-diagnosing over time.
Champion the use of AI/LLM tooling to eliminate manual, repetitive DevOps work - and share what works so the whole team levels up.

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

We are seeking an experienced Signal/Image Processing and Machine Learning engineer to join our team. The role focuses on developing innovative, real-time deep learning and signal processing solutions for new sensing and imaging systems, including video restoration. You will be part of an interdisciplinary team developing technologies that will shape future Apple products.
Description
Algorithm and model development:
- Design, implement, and optimize signal processing and machine learning models for sensing and imaging tasks, including video restoration.
- Develop and validate models using real sensor data, simulated data, and public datasets.
- Prepare, filter, process, and analyze large-scale datasets to train and evaluate models.
- Analyze your algorithm's results and benchmark them against leading methods, and theoretical bounds.
- Optimize models for real-time performance, low latency, and resource efficiency on-device.

Sensing and research:
- Develop algorithms that combine classical signal processing with learned models to extract robust information from sensor data.
- Investigate efficient architecture patterns (lightweight backbones, attention mechanisms, recurrent designs) suitable for real-time, on-device inference.
- Explore how algorithmic approaches can mitigate artifacts and limitations of new sensing and imaging systems.
- Stay current with recent advances in signal processing, computer vision, and machine learning.

Collaboration and technical leadership:
- Work closely with ML researchers, SW, HW, sensor, and architecture engineers to translate research ideas into robust models and practical, shipping systems.
- Provide technical guidance and mentorship to junior engineers, and help shape the team's technical direction.

Responsibilities
- Own the end-to-end development of real-time algorithms, from concept and prototyping through validation and deployment.
- Define evaluation methodology, metrics, and failure analysis processes for sensing and imaging algorithms.
- Drive trade-off decisions among accuracy, latency, power, and memory across algorithm, HW, and system constraints.

Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will be part of a development team, working closely with the central Platform Engineering group to deliver reliable cloud infrastructure, backend services, pipelines, and observability for the team's products. You will collaborate with developers and mentor other engineers along the way. This role is fully onsite.

Responsibilities
Own the CI/CD, cloud infrastructure, and operational health of your team's applications and services.
Build and operate cloud backend services, tooling, and automation in Python and Go.
Partner with the Platform Engineer to adopt shared tooling and contribute improvements back to the platform.
Design and manage cloud infrastructure as code.
Build observability (metrics, alerting, dashboards) and drive reliability and performance improvements.
Set technical direction and standards for deployment and operations within the team.

Our team is new, growing, and evolving quickly, and we are hiring across multiple disciplines. We work at the intersection of machine learning, hardware, and software, creating technologies that reshape how people communicate and experience the world around them in everyday life.

We are looking for someone who operates independently and leads projects, not someone who waits to be handed a task. You will own full stack initiatives from idea through production, collaborate with product, design, and hardware teams, and mentor other engineers along the way. This role is fully onsite.

Responsibilities
Shape the architecture and quality of our Python services and the React-based interfaces built on top of them.
Design and build data collection backends, APIs, and internal tools used by research and hardware teams.
Build and maintain desktop tooling, including Electron-based applications
Set technical direction and the standards other engineers build upon.

As a member of our ML group, you will design, prototype, and ship agentic GenAI systems used by chip design engineers to accelerate their day-to-day workflows. We are looking for a machine learning engineer who is energized by taking LLMs from "promising demo" to "depended-on tool": designing the agent loops, retrieval pipelines, and evaluation frameworks that make this transition real. Success in this role means agents that meaningfully shift how our customer teams work, backed by measurements you trust.

You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

Design and build agentic systems featuring multi-agent coordination, long-horizon reasoning, tool use, and planning frameworks.
Develop end-to-end solutions, including domain-specific agents and high-performance retrieval pipelines spanning diverse data sources.
Partner with subject-matter experts on the customer teams to translate their workflows and rules of thumb into concrete agent assignments, prompts, tools, and guidelines.
Build the evaluation backbone for our agents: define success measures, curate offline golden sets, and instrument online telemetry to power feedback loops that drive fast, safe iteration with real cost and quality control.
Drive prompt engineering, model selection, and lightweight model adaptation as the workloads demand.
Collaborate closely with software engineers on the team to productionize your work, and with researchers and customers to shape what we build next.
Stay current with the rapidly evolving agentic and LLM landscape and bring promising techniques into our products with good engineering judgment.

As a member of our ML group, you will design, prototype, and ship agentic GenAI systems used by chip design engineers to accelerate their day-to-day workflows. We are looking for a machine learning engineer who is energized by taking LLMs from "promising demo" to "depended-on tool": designing the agent loops, retrieval pipelines, and evaluation frameworks that make this transition real. Success in this role means agents that meaningfully shift how our customer teams work, backed by measurements you trust.

You will join a growing team of ML and software engineers building GenAI solutions for chip design teams. In this role, you will:

Design and build agentic systems featuring multi-agent coordination, long-horizon reasoning, tool use, and planning frameworks.
Develop end-to-end solutions, including domain-specific agents and high-performance retrieval pipelines spanning diverse data sources.
Partner with subject-matter experts on the customer teams to translate their workflows and rules of thumb into concrete agent assignments, prompts, tools, and guidelines.
Build the evaluation backbone for our agents: define success measures, curate offline golden sets, and instrument online telemetry to power feedback loops that drive fast, safe iteration with real cost and quality control.
Drive prompt engineering, model selection, and lightweight model adaptation as the workloads demand.
Collaborate closely with software engineers on the team to productionize your work, and with researchers and customers to shape what we build next.
Stay current with the rapidly evolving agentic and LLM landscape and bring promising techniques into our products with good engineering judgment.

the company was founded by the team that invented one of the technologies at the heart of 5g. their next vision was to develop an iot sticker, a computing element that can power itself by harvesting radio frequency energy, bringing connectivity and intelligence to everyday products and packaging, things previously disconnect from the iot. this revolutionary mixture of cloud and semiconductor technology is being used by some of the worlds largest consumer, retail, food and pharmaceutical companies to change the way we make, distribute, sell, use and recycle products.
as a firmware engineer, you will gain experience in system -level design and development of radio coexistence (e.g., wifi and bluetooth) in Embedded devices. you will develop a deep understanding of data structures, object-oriented design, and system architecture in an Embedded environment.

We are looking for a Senior Software Developer to join our development team and build complex, interactive, data-driven applications with advanced visualization capabilities. The role combines hands-on development, software design, technical leadership, and end-to-end ownership of solutions from early-stage prototypes and MVPs through production.

How you will make an impact:
Design, develop, and maintain complex software applications.
Initiate and build new projects from the ground up, including early-stage prototypes and MVPs.
Translate product ideas and requirements into well-structured software designs.
Build interactive user interfaces with a focus on usability and performance.
Implement and maintain backend services and APIs.
Participate in software design and architecture discussions.
Work with cloud-based infrastructure and deployment pipelines.
Collaborate closely with product, design, and engineering teams.
Write clean, maintainable, well-documented, and well-tested code.
Participate in code reviews and technical decision-making.