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seeking a Senior Back End Software Engineer to join our Agile development team!
As part of your role, you will be part of the team responsible for building foundational services and contributing to developing next generation of Construction Cloud Platform, which is used with mobile, web applications, and cloud services.
we work in a hybrid working environment based in our TLV office. At present it's two days onsite with the team.
Responsibilities
Work as a member of a self-organised agile team that builds, owns, and runs the service
Contribute to all aspects of service development using Node.js
Work closely with product management to understand and translate requirements into elegant implementations

Realize your potential by joining the leading performance-driven advertising company!
As a Senior Machine Learning Engineer, youll play a vital role in turning algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
How youll make an impact:
As a Senior Machine Learning Engineer, youll bring value by:
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more.

Realize your potential by joining the leading performance-driven advertising company!
As Site Reliability Engineer on the IT Production team in our TLV Office, youll play a vital role in building robust services and solving infrastructure challenges with automations while working with cutting-edge technologies and bringing those to their limits on our mostly on-prem cloud like infrastructure.
How youll make an impact:
As a Site Reliability Engineer, youll bring value by:
Ensure Reliability & Scalability: Design, implement and manage highly reliable and scalable distributed systems across our on-premise, cloud and AI/ML environments. Proactively optimize performance, efficiency, resource utilization and cloud cost.
Drive Automation: Automate repetitive tasks, infrastructure provisioning, configuration and deployments using IaC and scripting languages (e.g., Python, Go, Rust).
Develop Observability & Capacity: Implement comprehensive monitoring and alerting systems to ensure system health. Collaborate on capacity planning to meet future growth.
Maintain Security & Compliance: Integrate security best practices and ensure compliance with industry standards.
Lead Incident Management: Participate in on-call rotations, lead incident responses and conduct root cause analysis to minimize downtime.
Foster Collaboration & Improvement: Work closely with development, operations and security teams to drive shared responsibility and continuous improvement in SRE practices.

Realize your potential by joining the leading performance-driven advertising company!
As a Staff MLOps Engineer on the Infra group, youll play a vital role in develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools.
About Algo platform:
The objective of the algo platform group is to own the existing algo platform (including health, stability, productivity and enablement), to facilitate and be involved in new platform experimentation within the algo craft and lead the platformization of the parts which should graduate into production scale. This includes support of ongoing ML projects while ensuring smooth operations and infrastructure reliability, owning a full set of capabilities, design and planning, implementation and production care.
The group has deep ties with both the algo craft as well as the infra group. The group reports to the infra department and has a dotted line reporting to the algo craft leadership.
The group serves as the professional authority when it comes to ML engineering and ML ops, serves as a focal point in a multidisciplinary team of algorithm researchers, product managers, and engineers and works with the most senior talent within the algo craft in order to achieve ML excellence.
How youll make an impact:
As a Staff MLOps Engineer Engineer, youll bring value by:
Develop, enhance and maintain highly scalable Machine-Learning infrastructures and tools, including CI/CD, monitoring and alerting and more
Have end to end ownership: Design, develop, deploy, measure and maintain our machine learning platform, ensuring high availability, high scalability and efficient resource utilization
Identify and evaluate new technologies to improve performance, maintainability, and reliability of our machine learning systems
Work in tandem with the engineering-focused and algorithm-focused teams in order to improve our platform and optimize performance
Optimize machine learning systems to scale and utilize modern compute environments (e.g. distributed clusters, CPU and GPU) and continuously seek potential optimization opportunities.
Build and maintain tools for automation, deployment, monitoring, and operations.
Troubleshoot issues in our development, production and test environments
Influence directly on the way billions of people discover the internet.

Realize your potential by joining the leading performance-driven advertising company!
As a Staff Software Engineer in the Ad Creatives group in our Ramat Gan Office, youll be a key contributor to product and engineering roadmaps, influencing decisions that affect millions of users daily, playing a vital role in developing one of the largest real time big data operations in the world to support over 140TB of new data every day.

As a Senior DevOps Engineer, you will be a key contributor in designing, implementing, and optimizing our cloud-native DevOps infrastructure. You will collaborate with other team members to ensure our applications are cloud-ready, scalable, and secure, enabling us to stay at the forefront of our industry.

Responsibilities
Cloud-Native Strategy: Develop and implement a cloud-native strategy, leveraging AWS, serverless, and other cloud-native technologies, to enhance application resilience and scalability.
Container Orchestration: Lead efforts to manage container orchestration platforms (e.g., Docker) and establish best practices for containerization and microservices.
CI/CD Pipeline Optimization: Enhance and automate our CI/CD pipelines to enable rapid and reliable software delivery, incorporating industry best practices and tools.
Infrastructure as Code (IAC): Drive the adoption of IAC principles and tools (e.g., Terraform, Ansible) to manage infrastructure provisioning, monitoring, and security.
Collaboration: Collaborate closely with software engineers to solve complex problems and drive continuous improvement.

CodeValue, a leading software company, is seeking for an experienced C++ developer to join us . We specialize in delivering cutting-edge software services, allowing clients to focus on their core business activities. Join us if you're a fast learner, tech-savvy, and eager to contribute to innovative projects.

As a Senior Software Engineer, you will design, develop, and integrate core infrastructure components that power our perception and planning pipelines. Your work will ensure seamless collaboration between hardware, algorithms, and platform modules - delivering production-grade software that runs in real autonomous vehicles.

Responsibilities:
Design and develop infrastructure components to be used across multiple application groups.
Develop and maintain production-grade code for deployment on real vehicles.
Profile, debug, and optimize platform infrastructure modules for performance and reliability.
Integrate software components with hardware and other software modules to ensure seamless system operation.
Work closely with cross-functional teams (hardware, algorithms, and verification) to ensure system-level functionality.
Create and maintain clear technical documentation, including design specifications and system integration details.
Support thorough testing and validation in collaboration with verification engineers.

Join us, a pioneering AI automotive startup, as a Fleet System Engineer based in Israel. This full-time, on-site role offers a dynamic and challenging opportunity to blend software and hardware integration skills within the fast-evolving automotive industry.

If you excel in Python3, Bash, and C++ and are proficient in technologies like Linux, Git, Docker, and ROS2, you could be instrumental in developing and supporting high-tech, intelligent vehicle systems. Our ideal candidate is not only tech-savvy but also mechanically adept, familiar with the latest in sensor technology, and ready to deliver solutions that drive our forward globally.

Responsibilities:
Develop and support HMI for validation, testing, and data collection.
Integration and design of new sensors. (Electric & Mechanic integration).
Develop and maintain logging solutions for complex systems with multiple sensors.
Provide customer support (on-site and remote) Including New system integrations, test track activities, and testing/validation tasks at customers in the EU region with the option to fly to the Americas and Far East when needed).
Prepare Demo on-site and abroad. Act as the company representative when needed.
Support and maintain our fleet of test vehicles globally.

We are seeking a talented and experienced Machine Learning Engineer who will be responsible for designing and applying new machine learning techniques for computer vision applications.

Role and Responsibilities

Design, integrate, and evaluate new deep learning techniques/Models to improve the accuracy of the core software product
Develop techniques to clean/refine our dataset used for training
Help guide the workflow for collecting and annotating data by our team of data entry specialists
Design and implement algorithmic/Agent logic associated with Computer Vision Models.
Test performance/accuracy of model changes
Customize models via Neural Architecture Search to best fit the application
Implement training code in Python and PyTorch Framework 

we are looking for a talented DevOps Engineer to join the data-center-on-a-chip (DOCA) Software group. As a part of the team, you will lead complicated integrations which combining new technologies, automating processes, bringing up full software stacks, developing system scripts for cutting edge networking technologies with the quality requirements of industry-leading customers. You will work closely with our company's SDK development and gain an understanding of our company's products and technologies.
What youll be doing:
Developing DevOps tools using various company proprietary and other cutting-edge technologies to help build better CI/CD workflows
Crafting efficiency and usability improvements across our company proprietary products that will help streamline various release pipelines and processes across our company
Creating and maintaining build system for complex SW products
Definition and development of SDKs to be used for DOCA SW development.

we are leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. we are looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence.
We are looking for highly motivated DevOps and Automation Engineer to join our software infrastructure team. In this role, you'll build and enhance the systems that support large-scale GPU clustersinterconnected via NVLink and InfiniBandthat run today's most fast paced HPC and AI workloads.
What you will be doing:
Build and maintain CI/CD pipelines that support fast, reliable integration and deployment across complex systems.
Design tools and automation workflows that simplify software releases, manage dependencies, and increase reliability.
Accelerate development by modularizing systems and enabling independent release cycles.
Build infrastructure automation for provisioning, scaling, and maintaining GPU clusters.
Automate software updates and monitor system health to improve reliability and availability.
Troubleshoot and resolve operational issues across distributed infrastructure.
Manage firmware and software rollouts to minimize downtime and ensure consistency.
Work with global engineering teams to align infrastructure tools and support project achievements.