דרושים » הנדסה » Senior C # software engineer AI Robotics Startup

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise, you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

In Google Search, we're reimagining what it means to search for information any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities
Build a web UI adhering to the latest standards such as accessibility, internationalization, UX design and usability.
Work closely with other teams or products at Google such as Application Modernization Platform (AMP), Chrome and Safe-Search, connecting our users with different search teams' data and controls.
Develop the Search Console product (Web App) based on the latest Google infrastructure.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Write product or system development code.
Design, develop, test new features, as well as maintaining and improvement of our product.
Collaborate with other teammates and across job functions (e.g., PM, UX) as well as working closely with different teams developing other migration center components and services.
Manage full development cycle including testing, qualifications and Continuous Integration and Continuous Deployment (CI/CD) flows.

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Search Console is the main channel to site owners to integrate with Google Search Engine. We provide tools that help the web ecosystem to monitor their search performance, and track their content availability on Google surfaces. We improve Google's search quality and assist websites to succeed on the web.

The Search Console team is responsible for the pipelines that process the search raw data (search session logs, indexing data, etc.). We also run user management, site ownership verifications (which is used by other teams in Google), and other BE tasks.
In Google Search, we're reimagining what it means to search for information any way and anywhere. To do that, we need to solve complex engineering challenges and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities
Write product or system development code. Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
Develop scalable services and pipelines serving both internal and external users. Manage many services and pipelines, work on very large data, and oversee monitoring and dashboards.

We are looking for an Atlassian Platform Expert & Enterprise AI to join our IT Team as a temporary 1 year maternity leave (MLA) replacement, who has a passion for collaboration tools, process optimization, and IT service management, who has a desire to streamline workflows, improve user experience, and ensure the successful implementation and management of Atlassian tools like Jira, Jira Service Desk, and Confluence.
We use an interesting and mixed technology stack: Jira Software, Jira Service Management, Confluence (Wiki), and integrations with various internal systems and third-party tools.


In this position, you will use your expertise in configuring Atlassian tools and will drive the implementation and continuous improvement of Jira-based workflows, manage Jira Service Desk projects, maintain documentation in Wiki, and ensure the delivery of high-quality solutions aligned with business needs.



Key Responsibilities
Manage and design Jira Service Management projects, workflows, screens, custom fields, SLAs etc.
Develop and maintain custom automation rules, queues, forms, and dashboards to improve efficiency and visibility
Collaborate with stakeholders across Check Point departments to gather requirements, provide solutions, and ensure alignment with organizational goals
Monitor system performance, manage platform upgrades, and apply best practices for platform reliability and scalability
Create and deploy AI based projects or solutions that enhance business operations, drive innovation, and improve decision making across various domains

Meta is seeking talented engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Software Engineer, Machine Learning Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding

We are looking for a Full-Stack Engineer. This role is perfect for a proactive person with outstanding programming skills. The ideal candidate is a team player who has a passion for designing and developing innovative and scalable solutions, from front-end user interfaces to back-end system logic. A person who has a desire to be responsible for the development of entire features, end-to-end, while demonstrating engineering excellence.

About Us

Check Point is a key player the network security field, striving to provide the leading SASE platform in the market. Our innovative approach, merging cloud and on-device protection, redefines how businesses connect in the era of cloud and remote work.

Key Responsibilities
End-to-end development of new software features (research, design, development, testing, deployment, monitoring)
Contribute to technological and architectural decisions
Analyze and improve efficiency, scalability, and stability of various components in our system
Collaborate with Designers, Product Managers, and Software Engineers to deliver the best product to our customers

We are the teams who create all of Meta's products used by billions of people around the world. Want to build new features and improve existing products like Messenger, Video, Groups, News Feed, Search and more? Want to solve unique, large scale, highly complex technical problems? Meta is seeking experienced full-stack Software Engineers to join our product teams. You can help build products that help us connect the next billion people, create new features that have billions of interactions per day and be a part of a team thats working to help people connect with each other around the globe. Join us!
Software Engineer - Infrastructure Responsibilities
Design core, backend software components
Code using primarily C/C++, Java, PHP and Hack
Interface with other teams to incorporate their innovations and vice versa
Conduct design and code reviews
Analyze and improve efficiency, scalability, and stability of various system resources
Establish self as an owner of a particular component, feature or system with expert end-to-end understanding
Successfully completes projects at large scope while maintaining a consistent high level of productivity

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

Our mission is to provide the simplest, fastest, and most reliable path for enterprises to migrate their workloads to Google Cloud, accelerating their digital transformation journey. The team has adopted an AI-first approach, where product features and engineering productivity are centered around AI to increase delivery speed and open new opportunities for product journeys.

The AI and Infrastructure team is redefining whats possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Responsibilities
Lead, mentor, and cultivate a high-performing engineering team. Foster a culture of innovation, psychological safety, and continuous career growth for every team member.
Oversee the team's execution and project life-cycle, ensuring the timely and efficient delivery of high-quality, scalable features in a changing, agile environment.
Advocate a customer-first culture by instilling the highest standards for service reliability, performance, and quality.
Drive our AI-first strategy's evolution from both a management perspective, inspiring the team and a technical one, guiding the practical integration of AI into both our product and our internal development processes.
Resolve technical problems inherent in a large-scale, enterprise-grade migrat