Do you love working with customers to achieve their business outcomes? Would you love to build expertise around the leading, next generation cloud services? As a Cloud Solution Architect (CSA), you will become part of the next generation of sales leaders at Microsoft. With the aid of best-in-class sales processes, techniques and technologies, you will be empowered to shape customer relationships for a strategic set of Microsoft's customers. These customers are adopting industry-leading products and services for their businesses, education systems or governments. You will serve as the central point of contact for the customer across engagements helping to drive Microsoft's existing cloud & enterprise consumption through developing and managing customer relationships. This role is flexible in that you can work up to 50% from home.


Microsofts mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Responsibilities
You will work with world leading startups and software firms to help them build great technology solutions
You will lead, drive and manage engagements for repeatable achievement of revenue and consumption targets.
You will leverage best practices to guide customer strategy and future growth for Microsoft by cultivating customer affinity with Microsoft programs/solutions that drive impact for the customer and establishing Microsoft as a leader. Provide feedback to Microsoft on customer development needs, customer blockers, or mitigation strategies.
You will conduct analyses into what customers are using versus needs. Drives greater consumption (cloud and support) with customers based on analysis of both usage and needs. Leverages insights to provide guidance and recommendations to customers; drives, retains, and optimizes customer consumption
You will apply technical knowledge and customer insights to create a modernization roadmap. Architect solutions to meet business and IT needs, ensuring technical viability of new projects and successful deployments, while orchestrating key resources and infusing key Infrastructure technologies
You will run Architectural Design Session(s) to build plans for implementing solutions which align to customer business goals and technical environments.
You will collaborate and orchestrate with other Cloud Solution Architects and MS stakeholders, including FastTrack, Solution Assessments, etc., in developing cloud solutions on Azure.

As a Data & AI Technical Architect in the Microsoft Innovation Hub, you will be working at the forefront of Microsoft innovation, helping customers create and implement a vision and strategy for their AI transformation. You will be an integral part of their transformation journey, challenging their ways of thinking and helping them realize and adopt the benefits of our Cloud. Part of a world-wide community of exceptional peers, youll have access to the latest software and hardware, and youll be given the time and budget to develop as a globally influential technical leader. This role is Microsoft onsite only.

Responsabilities:

Deliver customer engagements: Based at your facility location, you will prepare and deliver technical engagements to enterprise customers. These include Business envisioning, Solution envisioning, Architecture design, Rapid prototype, and Hackathon. You take a cross-solution view to leverage capabilities across the entire Microsoft cloud platform. You will work collaboratively with account teams to determine the best engagements for a given opportunity to maximize customer benefit and accelerate deals success.
Solution design: Using your technical knowledge, architectural approach, consultancy skills and our methodology to win a customers technical decision to buy and use Microsoft solutions and cloud services.
Set vision: You will use your technical knowledge to show customers an inspiring digital vision, across all Microsoft workloads, as well as deeper engagement in your core technology specialism. You will make this digital vision real using the architecture skills of you and your peers to provide a complete solution.
Build strategy: You will map the agreed customer vision into a strategy for implementation, resolving concerns, removing technical blockers, and validating a strong business case for investment. You will work with the customer, wider account team resources and our partners to orchestrate a roadmap for implementation.
An expert in Data & AI: Articulate the possibilities of Microsoft Azure with emphasis on data services including databases; analytics; machine learning; AI, and business intelligence. Accelerate the customers digital transformation journey using Microsofts Big Data, Advanced Analytics, Cognitive Services, and ML/AI platform. Create modern data architectures that provides increased agility in meeting the demands of the customers business. Articulate the possibilities of the Microsoft Azure Cloud with specific emphasis on data and AI services including Databases and Data Lak

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.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Responsibilities
Build firmware running on embedded processors with limited memory footprints on the System-on-a-chip (SoC).
Design and implement multi threaded applications and device drivers running under an open source real time operating system.
Develop tools to update and debug the firmware, enable emulation, chip bringup, and hardware debugging.
Build Linux kernel device drivers to attach the SoCs to data center systems and associated C++ userspace drivers, tools and libraries, and write code to handle Direct Memory Access (DMA), interrupts, power management, SoC initialization, and error handling.
Play key roles in emulation, chip bringup, and SoC deployment, and contribute to all layers of the data center software stack to deploy SoCs to production.

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.The Core team builds the technical foundation behind Googles flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Googles products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
Responsibilities
Write product or system development code.
Review code developed by other engineers 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.
Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g., distributed clusters, multicore SMP, and GPU)
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimization problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Play a critical role in setting the direction and goals for a sizable team, in terms of project impact, ML system design, and ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Re-evaluate the tradeoffs of already shipped features/ML systems, and you are able to drive large efforts across multiple teams to reduce technical debt, designing from first principles when appropriate
Leading a team from a technical perspective to develop ML best practices and influence engineering culture
Be a go-to person to escalate the most complex online/production performance and evaluation issues, that require an in depth knowledge of how the machine learning system interacts with systems around it
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmap
Code deliverables in tandem with the engineering team

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 Research addresses challenges that define the technology of today and tomorrow. From conducting fundamental research to influencing product development, our research teams have the opportunity to impact technology used by billions of people every day.

Our teams aspire to make discoveries that impact everyone, and core to our approach is sharing our research and tools to fuel progress in the field -- we publish regularly in academic journals, release projects as open source, and apply research to Google products.

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.

The XR team at Facebook Reality Labs is helping people around the world come together and connect through world-class Augmented and Virtual Reality technologies.
As a Software Engineer for XR Streaming, you will be taking a lead in developing streaming technologies for cloud rendering to enable cutting edge visual experiences on compute constrained AR/VR devices.
You will work with a highly cross-functional team to define an end-to-end streaming solution to achieve ultra low latencies and a smooth streaming experience.
Software Engineer - XR Streaming / Networking (Tel Aviv) Responsibilities
Develop local and cloud based ultra-low latency game and app streaming technologies
Innovate in the areas of Video Streaming, QoS and transport/networking to achieve breakthrough streaming metrics for quality, latency and stutter
Research, develop, innovate new software algorithms across the end to end streaming pipeline. Collaborate closely with partner teams to innovate across the entire end to end software and hardware technology stack

Meta is embarking on the most transformative change to its business and technology in company history, and our Machine Learning Engineers are at the forefront of this evolution. By leading crucial projects and initiatives that have never been done before, you have an opportunity to help us advance the way people connect around the world.

The ideal candidate will have industry experience working on a range of recommendation, classification, and optimisation problems. You will bring the ability to own the whole ML life cycle, define projects and drive excellence across teams. You will work alongside the worlds leading engineers and researchers to solve some of the most exciting and massive social data and prediction problems that exist on the web.
Software Engineer, Machine Learning Responsibilities
Leading projects or small teams of people to help them unblock, advocating for ML excellence
Adapt standard machine learning methods to best exploit modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
Develop highly scalable classifiers and tools leveraging machine learning, data regression, and rules based models
Suggest, collect and synthesize requirements and create effective feature roadmaps
Code deliverables in tandem with the engineering team