דרושים » הנדסה » Senior System Software Engineer, NCCL - Partner Enablement

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 company's 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 leading 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 groundbreaking creativity and discovery, and powers inventions that were once considered science fiction, including 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're seeking a Senior Software Architect to help co-design next-gen data center platforms and scalable communications software.
DL and HPC applications have a huge compute demands and already run at scales of up to tens of thousands of GPUs. GPUs are connected with high-speed interconnects (e.g. NVLink, PCIe) within a node and with high-speed networking (e.g. InfiniBand, Ethernet) across nodes. Efficient and fast communication between GPUs directly impacts end-to-end application performance. This impact continues to grow with the increasing scale of next generation systems. This is an outstanding opportunity to advance the state-of-the-art, break performance barriers, and deliver platforms the world has never seen before. Are you ready to build the new and innovative technologies that will help realize our company's vision?
What you will be doing:
Investigate opportunities to improve communication performance by identifying bottlenecks in today's systems.
Design and implement new communication technologies to accelerate AI and HPC workloads.
Explore innovative solutions in HW and SW for our next generation platforms as part of co-design efforts involving GPU, Networking, and SW architects.
Build proofs-of-concept, conduct experiments, and perform quantitive modeling to evaluate and drive new innovations.
Use simulation to explore performance of large GPU clusters (think scales of 100s of 1000s of GPUs).

we are looking for an experienced HPC DevOps Engineer to help us build the supercomputers and HPC clusters of the future. As a Senior HPC DevOps Engineer, you'll be a key player in groundbreaking advancements in artificial intelligence and GPU computing. Your expertise will drive the latest breakthroughs, providing insights on at-scale system design and tuning mechanisms for large-scale compute runs. You will work with the latest Accelerated computing and Deep Learning software and hardware platforms, and with many scientific researchers, developers, and customers to craft improved workflows and develop new, leading differentiated solutions. You will interact with HPC, OS, GPU compute, and systems specialist to architect, develop and bring up large scale performance platforms.
What youll be doing:
Innovate and Implement: Design, implement, and maintain large-scale HPC/AI clusters with state-of-the-art monitoring, logging, and alerting systems.
Infrastructure as Code (IaC): Utilize and develop tools to manage infrastructure as code, ensuring scalable and repeatable deployments.
Streamline CI/CD Pipelines: Develop and maintain continuous integration and continuous delivery (CI/CD) pipelines to automate and streamline deployment processes.
Automate Everything: Develop automation scripts and tools to automate deployment, configuration management, and operational monitoring.
Enhance Monitoring: Deploy advanced monitoring solutions for servers, networks, and storage to ensure seamless operations.
Troubleshoot Complex Issues: Perform comprehensive troubleshooting from bare metal to application level, ensuring system reliability and efficiency.
Lead and Educate: Serve as a technical resource, developing and sharing best practices with internal teams.
Drive Innovation: Support R&D activities and engage in proof of concepts (POCs) and proof of values (POVs) for future improvements.

our company's networking performance team is developing tools for benchmarking and profiling our company's cutting-edge networking technologies. Our products are used by engineers within our companyand across the industry to optimize networking performance quickly and accurately. We are evolving our suite of expert-driven tools to create an AI-powered assistant that can autonomously benchmark and analyze complex networking performance issues in the world's most advanced data centers. This is an opportunity to work on an innovative strategic project, combining systems engineering with cutting-edge generative AI, directly impacting how our company's top customers optimize infrastructure.
What You'll Be Doing:
Build the core components of our AI assistant, translating a visionary architecture into a robust, production-ready system
Enhance and extend our core telemetry capture engine (Python and C++) to provide the high-fidelity data needed for analysis
Develop intelligent agents and workflows using modern AI frameworks to automate the 'benchmark-analyze-remediate' lifecycle
Design and implement sophisticated techniques for grounding LLMs with private data (e.g., RAG), ensuring the assistant's outputs are factually accurate and reliable
Partner closely with our domain experts in performance benchmarking and data analysis to create a cohesive, end-to-end platform.

Required Staff MLOps Engineer
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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
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

Required Senior Algo Data Engineer
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Algo Data 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 Senior Algo Data 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
Our tech stack:
Java, Python, TensorFlow, Spark, Kafka, Cassandra, HDFS, vespa.ai, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes, Docker, git and Jenkins.

our company has been at the forefront of the deep learning revolution, pioneering innovations that have transformed the entire field. As the leading provider of GPUs and AI computing platforms, our cpmpany has empowered researchers and engineers worldwide to accelerate breakthroughs in artificial intelligence.
We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team builds software solutions that enable efficient inference on the latest and greatest generative AI models. We tackle problems on all levels of the stackfrom server-level request batching to GPU kernel fusionand collaborate with teams across diverse disciplines to push our company's hardware to its full potential.
What youll be doing:
Cooperate with research teams to onboard new LLMs and VLMs into our company's opensource AI runtimes
Optimize inference workloads using sophisticated profiling and simulation tools
Build SOLID, extendable inference software systems, and refine robust APIs
Implement and debug low-level GPU code to harness the latest HW features
Own end-to-end inference acceleration features and work with teams around the world to deliver production-grade products.

our company has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. Its a unique legacy of innovation thats fueled by great technologyand amazing people. Today, were tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing whats never been done before takes vision, innovation, and the worlds best talent. As a worker, youll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
Are you ready to help build next generation solutions for High-Performance Web Servers and Proxy Servers, Content Delivery Networks, Financial Service market's High-Frequency Trading (HFT) platforms, High-Performance Disaggregated Storage? we are looking for an Excellent Senior Software Engineer to develop groundbreaking networking acceleration solutions for variety of markets. Development is done in an exciting and Agile environment on a widely deployed products that need constant improvements.
What youll be doing:
Design and develop high performance networking solutions based on our company's outstanding ConnectX and Bluefield networking cards hardware.
Work in a startup mode/group developing groundbreaking networking solutions.
Development of the entire solutions stack, from application level to networking card hardware access.
Development of kernel bypassing user space TCP/IP stack on top of our outstanding networking card hardware.
Invent and implement creative ways to improve performance and scalability.
Large scale and high quality deliveries.
Work closely with customers and partners.
Collaborate with multiple teams in our multi-functional environment on developing new features/improvements.

We are growing and are looking for future Axonians who value personal and career growth, team-work, and winning!
As a Senior IT Systems Engineer, you will be a technical leader responsible for designing, implementing, and managing our identity platform and corporate SaaS applications. In this position, you will partner with business users and other technology teams to support, grow, and implement Corporate IT systems and infrastructure, including products such as Okta, Google Workspace, Atlassian Product Suite, Zendesk, Slack, Zoom, and other industry-leading products. You will play a pivotal role in ensuring the security and compliance of our systems while delivering a seamless user experience.
The IT Systems Engineering team is responsible for enabling efficient and compliant operations. We focus on delivering and managing critical SaaS applications, endpoint compliance, network administration, and identity and access management (IAM) solutions to support our global workforce.
Manage and optimize wireless networking environments, with a focus on Cisco Meraki and Fortinet solutions, including access point deployment, configuration, monitoring, and troubleshooting.
Serve as a subject matter expert for network architecture, maintaining documentation and standards across corporate locations.
Administer and maintain Microsoft Intune for Windows device lifecycle management, including configuration profiles, compliance policies, app deployments, and conditional access.
Perform advanced Windows OS troubleshooting, including deep-dive analysis of system logs, driver conflicts, group policy issues, and application compatibility challenges.
Manage the administration, day-to-day operations, and troubleshooting of SaaS applications, endpoint management, and identity processes
Develop and maintain automation processes related to identity lifecycle, application configuration, and data management.
Collaborate with key business stakeholders to ensure alignment with business requirements.
Troubleshoot and reference the 3rd party vendor support documentation on API integrations
Manage the configuration of new SaaS systems in Okta to streamline the delivery of services to the user community
Lead incident response and problem resolution for various applications
Partner with Security & Cyber Security Assurance to enforce strict cross platform security and audit controls.

we are looking for an excellent Senior Software Developer to work on open-source cloud platforms such as Kubernetes. We are seeking an experienced engineer who is deeply technical, hands-on, and has a wide system view. You will design, build and deploy high-performance and scalable clouds based on our company's superior ConnectX NICs and Bluefield DPUs. We are looking to grow our teams with the smartest people in the world. If you're creative and autonomous, we want to hear from you!
What youll be doing:
Design and implement new features to accelerate Network and Storage
Work closely with open source communities, participate in the relevant working groups
Work with different teams across our company
Mentor members of the team, enabling them to deliver high-quality software.