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we are looking for a Software Engineer to join our AI Applications team.
The AI applications team is working as an end to end value stream function, delivering product solutions from the very beginning of an idea towards the final user experience, where the main expertise is around products that require AI abilities.
You will be responsible for developing, iterating, and maintaining AI based user experiences on a variety of destinations on the platform. You will be a part of a multidisciplinary team of Product engineers, AI researchers, data scientists and Machine learning (ML) Engineers, you will work with the most recent AI tools and abilities in the industry, and will take a key role in shaping how those will make an impact on customers.
Responsibilities:
Collaborate with design, front-end, and ML engineers to develop and implement new features for platform.
Build scalable services and applications to support large-scale platform.
Write clean, efficient, and well-documented code. Actively participate in code reviews and quality assurance processes.
Work in a cross-functional team, closely collaborating with front-end, back-end, and AI developers to ensure seamless integration and optimal performance of front-end features.
Identify opportunities to improve our architecture and tooling across multiple levels of the stack.
Continuously research and explore new technologies, tools, and techniques to stay up-to-date with the latest trends and best practices.

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.

Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Partner Enablement Engineer to guide our key partners and customers with NCCL. Most DL/HPC applications run on large clusters with high-speed networking (Infiniband, RoCE, Ethernet). This is an outstanding opportunity to get an end to end understanding of the AI networking stack. Are you ready for to contribute to the development of innovative technologies and help realize our vision?

What you will be doing:

Engage with our partners and customers to root cause functional and performance issues reported with NCCL.

Conduct performance characterization and analysis of NCCL and DL applications on groundbreaking GPU clusters.

Develop tools and automation to isolate issues on new systems and platforms, including cloud platforms (Azure, AWS, GCP, etc.).

Guide our customers and support teams on HPC knowledge and standard methodologies for running applications on multi-node clusters.

Document and conduct trainings/webinars for NCCL.

Engage with internal teams in different time zones on networking, GPUs, storage, infrastructure and support.

What You Will Do
Take ownership of the engineering aspects within a multidisciplinary data science innovation team, collaborating with ML-ops engineers, security researchers, and full-stack data scientists.
Design, develop, integrate, and maintain code for AI-based services and data pipelines in both Python and C#, enabling seamless end-to-end delivery of advanced features.
Design, deploy, and support AI-driven services in modern Kubernetes/cloud environments, driving the operationalization of cutting-edge solutions from prototype to production.
Monitor, maintain, and optimize existing production AI/ML models to ensure high reliability, performance, and security in real-world environments.

We are seeking an exceptional Applied Scientist to join our Prime Video Sports tech team in Israel. Our team is dedicated to developing state-of-the-art science to allow for personalizing the customers experience and customers to seamlessly find any live event in our selection. You will have the opportunity to work on innovative, large-scale projects that push the boundaries of what's possible in sports content delivery and engagement. Your expertise will be crucial in tackling complex challenges such as temporal information retrieval, leveraging Generative AI and Large Language Models (LLMs), and building state-of-the-art recommender systems.

Key job responsibilities:
We are looking for an Applied Scientist with domain expertise in Personalization, Information Retrieval, and Recommender Systems, or general ML to lead the development of new algorithms and end-to-end solutions. As part of our team of applied scientists and software development engineers, you will be responsible for researching, designing, developing, and deploying algorithms into production pipelines. Your role will involve working with cutting-edge technologies such as Gen AI/LLMs to enhance content discovery and search capabilities. You'll also tackle unique challenges like temporal information retrieval to improve real-time sports content recommendations. As a technologist, you will drive the publication of original work in top-tier conferences in Machine Learning and Information Retrieval. We expect you to thrive in ambiguous situations, demonstrating outstanding analytical abilities and comfort in collaborating with cross-functional teams and systems. The ideal candidate is a self-starter with the ability to learn and adapt quickly in our fast-paced environment.

deliver accessible, high-quality healthcare at scale. As a leading clinical AI company in primary care, has developed a suite of clinical AI agents that enhance provider efficiency and improve patient outcomes across both online and in-person primary care settings. primary care platform engages patients through a personalized investigation, informed by relevant medical history from the EMR, to provide primary care providers with comprehensive insights and automated workflows at the point of care. Coupled with patient insights, technology empowers providers to make individualized diagnoses and treatment decisions and deliver high-quality medicine at scale.

As a venture-backed startup trusted with nearly $400 million in funding, and a $900 million valuation as of July 2024, is well-positioned for sustained future growth. We continue to partner with a growing roster of major health systems (Cedars-Sinai, Hackensack Meridian Health, Hartford HealthCare), enhancing accessibility and quality of care by pairing people with technology.

a modern healthcare company that is reinventing the patient, provider, and AI cooperative for a singular, digitally unified, high-quality care delivery mission. Our cross-functional approach integrates deep expertise in clinical care, operations, data science, product, consumer marketing, and engineering into one team that is transforming the experience of patients, providers, and the overall care delivery system. Join us in our mission to deliver smarter, simpler healthcare!

About the role:
As part of the Automation team within the Platform group, youll own automation engineering for key platform products powering the doctor and patient experiencecovering areas like payments, medications, and more. This role offers visibility into core infrastructure and potential future mobility into Platform Engineering.

This includes validating that products work independently and as part of a larger system of multiple services. You should be able to collaborate with different teams and squads to move towards automated testing and eventual continuous delivery.

What you'll be doing:
Responsible for executing Quality Engineering practices and test automation.
Identify and implement advanced Quality Engineering principles proactively to improve product delivery automation continuously.
Design and develop automated tests that ensure applications meet their functional and non-functional requirements.
Support the Continuous Delivery vision by designing automation to integrate with build pipelines and other automated unit, integration, and system tests.

We are seeking a talented and driven Senior Software Verification Engineer to join our innovative team and tackle SW verification challenges in the domains of high-speed networking, virtualization, and security. You will play a key role in validating and testing complex software products that support Ethernet and InfiniBand protocols, delivering advanced networking, storage, and security services for cloud, compute, and AI workloads.

What Youll Be Doing:

Develop and Automate Testing: Design, implement, and maintain automated test scripts and frameworks (primarily in Python) to verify the correct functionality of our software products.

End-to-End Feature Ownership: Deep dive into feature sets, taking responsibility from test planning through to final implementation and full automation.

System & Integration Validation: Validate software functionality and performance through system-level and integration testing, utilizing Linux-based environments and virtualization tools.

Test Environment Management: Set up, maintain, and optimize test environments using Linux, Docker, virtual machines, and other modern tools.

Collaboration & Communication: Work closely with software, DevOps, architecture, and product teams to define test requirements, coordinate releases, and ensure high-quality product delivery.

Continuous Improvement: Drive design verification flows, contribute to methodology improvements, and leverage planning/tracking systems to manage release progress and build release indicators.

Defect Analysis: Analyze test results, file defects, and track issues to closure, ensuring robust and scalable solutions.

We are seeking an experienced Engineering Team Lead to head one of our three engineering teams. This team will comprise BE, FE and mobile developers, and a QA engineer. As the team lead, you will be responsible for guiding the team, ensuring successful delivery of projects, and fostering a culture of collaboration and continuous improvement.

Responsibilities:
Lead, mentor, and manage a multidisciplinary team of backend, frontend, mobile developers, and QA engineers.
Oversee the design, development, testing, and deployment of high-quality software solutions that align with business goals.
Collaborate with product managers, designers, and other stakeholders to define technical requirements, set priorities, and establish project timelines.
Ensure adherence to best practices in software development, including code reviews, testing, and continuous integration and delivery (CI/CD).
Facilitate effective communication and collaboration within the team and across other departments.
Identify and address technical challenges, providing guidance and support to team members.
Monitor and improve team performance, productivity, and overall efficiency.
Stay updated with industry trends and emerging technologies, advocating for their adoption when appropriate.
Foster a positive and inclusive team culture that encourages innovation, learning, and personal growth.

A leader in computer graphics, PC gaming, accelerated computing, and AI. the Networking Business Unit is building chips, systems, and software that power the most advanced data center and hyper-converged networks of today and tomorrow. The data processing unit (DPU) and series of SmartNICs ignite outstanding innovation for modern data centers by offloading, accelerating, and isolating a broad range of sophisticated networking, storage, and security services.

We are looking for a highly motivated software engineer with experience in data forwarding technologies, Linux kernel and container networking, network functions virtualization (NFV), and related areas to join our team and work on innovative offload solutions. You will develop software for various networking offload and virtualization use cases as well as data forwarding on Ethernet switching platforms. You will use the latest software development tools and techniques and gain extensive knowledge of modern data center architectures and workload acceleration.

What youll be doing:
Design, develop, test, and maintain new functionality and improvements to existing functionality related to offloading various networking services.
Design, develop, test, and maintain system software components related to networking.
Work on data forwarding functionality on Ethernet switching platforms.
Lead and guide cross-functional teams on large feature development activities.
Collaborate with team members, architects, QA, and Support teams on feature definition, development, release, and bug fixing.

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.

Come work for the team that brought to you NCCL, NVSHMEM & GPUDirect. Our GPU communication libraries are crucial for scaling Deep Learning and HPC applications! We are looking for a motivated Performance engineer to influence the roadmap of our communication libraries. The DL and HPC applications of today have a huge compute demand and run on scales which go up to tens of thousands of GPUs. The GPUs are connected with high-speed interconnects (eg. NVLink, PCIe) within a node and with high-speed networking (eg. Infiniband, Ethernet) across the nodes. Communication performance between the GPUs has a direct impact on the end-to-end application performance; and the stakes are even higher at huge scales! This is an outstanding opportunity for someone with HPC and performance background to advance the state of the art in this space. Are you ready for to contribute to the development of innovative technologies and help realize our vision?

What you will be doing:

Conduct in-depth performance characterization and analysis on large multi-GPU and multi-node clusters.

Study the interaction of our libraries with all HW (GPU, CPU, Networking) and SW components in the stack.

Evaluate proof-of-concepts, conduct trade-off analysis when multiple solutions are available.

Triage and root-cause performance issues reported by our customers.

Collect a lot of performance data; build tools and infrastructure to visualize and analyze the information.

Collaborate with a very dynamic team across multiple time zones.

We are looking for a Manager, Support located in Tel Aviv to become a key member of our global support leadership team. This role includes responsibility for the EMEA Testim Support organization, who are engaged in assisting customers and partners in technical issue identification and resolution. The support organization specializes in high-end, enterprise level support of customers or partners with advanced support needs.

The Manager, Support will oversee staff schedules for omnichannel coverage and individual as well as group training sessions. They will conduct quarterly 1:1 and team meetings to evaluate individual and team performance and will facilitate development of proficiency in both technical skills and general customer service skills.

Primary duties:
Deliver superior level service to end user customers and act as point-of-contact for escalated issues to ensure appropriate response and focus of support teams.
Participate regularly in strategic planning discussions to provide insightful ideas on process improvements and customer service delivery.
Conduct regular team meetings and performance discussions with support engineers.
Interact with regional and corporate management on matters between functional areas or customers and the company.
Track, monitor and report on department operations, and closely manage critical customer accounts to develop path to issue resolution.
Perform monitoring to ensure that support engineers are following the call priority flow and maintaining an available phone status, documenting the issues well, and following cases through to efficient and effective resolution.
Assign and manage projects based on new product releases, call related issues and/or training needs within the organization. Track projects and initiate documentation based on project successes.