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We are looking for a Senior Embedded Firmware Engineer to be part of the development of advanced streaming features for our portfolio of products. In this role, you will contribute to core functionality - from understanding system requirements and defining feature behavior, through designing software architecture to implementing and releasing high-quality code. You will collaborate closely with hardware and software engineers, system architects, and domain experts to optimize performance, reliability, and security.

Join us in shaping the future of streaming technology and delivering exceptional experiences on a global scale. Your expertise will play a key role in enabling cutting-edge video capabilities for Microsoft devices. If youre ready to take your career to the next level and be part of something remarkable, apply now! Together, we will achieve more.

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
Develop advanced features for video streaming, security, and AI within an embedded software environment.
Design and implement solutions aligned with system architecture specifications and engineering requirements.
Apply robust testing and debugging methodologies to ensure delivery of high-quality, reliable code.
Collaborate cross-functionally with hardware engineers, software developers, system architects, and domain experts to optimize performance, reliability, and security.
Adhere to software engineering best practices, including code reviews, documentation, testing, and version control.
Diagnose and resolve software issues and defects promptly to maintain system integrity.
Foster continuous learning and team growth by sharing knowledge and contributing to process improvements.

Join the Growth Tech TLV team to build platforms, interfaces, and telco‑facing products that accelerate growth for Meta.
Senior Software Engineering Manager - Growth Tech Responsibilities
Contribute to the broader technical and organizational strategy. Identify opportunities for innovation, influence technical direction, and help shape the long-term strategy for the team and organization
Direct the planning, execution, and delivery of complex technical projects. Ensure high-quality engineering standards, remove roadblocks, and drive the team toward successful outcomes that align with organizational goals
Lead, mentor, and develop a team of managers, fostering growth, collaboration, and high performance. Provide regular feedback, support career development, and ensure team members are engaged
Partner closely with product, design, data, and other engineering teams to define priorities, set clear goals, and deliver impactful solutions. Facilitate effective communication and alignment across stakeholders

The Microsoft specialized clouds - Edge AI group is responsible for bringing AI to customers that want to manage their AI workload on premises using Azure Arc technologies. Working on the edge appliances requires the team to work across various hardware configurations, optimize AI for different hardware categories, connect AI to data sources in order to provide the right context for the AI to the customers business needs and more.



Individuals in the team get a chance to impact the industry working across various areas, our data science team leads research and implementation of AI components, full stack developers work on cloud and edge technologies from the design until features are delivered to the customer. Being at the center of innovation provides great opportunities for engineering excellence in an amazing work environment in a team that will allow you to develop, grow, and contribute.
Responsibilities
We are looking for Software Engineers 2 and Senior Engineers to join our group.

As a developer, your code will reach Azure resources and extensions, and you will use various technology stacks with the latest tools and methodologies. You will be expected to break down problems, build execution plans, have an open mind, and be accountable to your code all the way to production. Working in a multi-disciplinary team will require great communication skills and at the heart of it all, alignment with Microsoft values.

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. 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
Create helpful user-facing channels and cross-product experiences which drive ecosystem adoption, and add value to users across iOS, Android and desktop.
Build native iOS offering, including experiences on iPhones focused on increasing engagement with Google products and features and incorporating the latest trends in iOS development and capabilities into Googles apps.
Increase effectiveness of existing products, improving data analytics pipelines, Machine Learning (ML) capabilities, experimentation capabilities, alerting, and campaign management.
Improve products through User Experience (UX) improvement, improving latency and product quality, and experimentation related to content improvement.
Focus on iOS technologies which may also include some server-side work, including processing and analyzing data in order to draw metrics-focused conclusions.

ironSource, part of Unity, is a leading large-scale ad network at the forefront of advertising technology. We are looking for a highly skilled and experienced Senior Software Engineer to join our backend team.
In this role, you will leverage your expertise in distributed systems, data engineering, and software development to design, build, and deploy high-performance solutions. You will take a leading role in developing and maintaining a cutting-edge online machine learning system powered by PyTorch/Tensorflow models and Triton inference server.

This is an opportunity to work on complex, large-scale systems that serve billions of requests, shaping the future of ad tech and ML-driven optimization.

What you'll be doing
Architect and Build: Design, develop, and deploy robust, scalable, and high-performance distributed systems that form the backbone of ironSource's next-generation ML ad network.
Real-Time Ad Serving: Engineer and optimize critical systems for real-time ad serving, enabling machine learning models to make intelligent, low-latency decisions for optimal ad selection.
ML Infrastructure Innovation: Drive the evolution of our ML capabilities by researching, evaluating, and implementing cutting-edge techniques for feature stores, data aggregation, and model serving infrastructure.
Data Pipeline Engineering: Collaborate closely with data scientists and product managers to design, build, and maintain efficient and reliable data lakes and data pipelines, ensuring high-quality data for ML training and analytics.
Operational Excellence: Take ownership of key system components, ensuring their reliability, performance, and scalability in a production environment through proactive monitoring and continuous improvement.

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