דרושים » AI » Senior AI Safety Researcher

Our Networking product security team is looking for an outstanding technical AI safety researcher with hands-on experience to help us improve the safety posture of AI systems and their infrastructure. In this role you will reduce risk, threats, and vulnerabilities in our networking AI products.

What you'll be doing:

Drive hands-on safety research on a wide range of AI and networking products.

Develop tools and processes to expose novel weaknesses in AI systems and preempt threats.

Participate in defining and ensuring AI development processes meet safety standards.

Partner with cross-functional teams to understand needs and implement solutions.

Be a technical focal point across multiple development and networking teams and provide hands-on AI safety and engineering expertise.

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.

We are looking for a AI Researcher.
Here, you will tackle ever-evolving challenges and leverage the dynamic AI landscape to craft solutions that transform the cybersecurity industry. As an AI Researcher, you'll have the chance to design cutting-edge models and algorithms around AI for security. You'll gain deep expertise in the fields of both AI and security, engaging with all facets of generative AI techniques and their deployment in production environments. You will collaborate with a talented team of researchers, engineers, and security experts, and play a pivotal role in developing groundbreaking AI solutions. Shape the future of AI for Security with us and make an enduring impact on AI adoption across the world!
Track and analyze emerging AI systems, focusing on applications, and environments related to security and safety.
Develop a platform for AI data training, fine tuning, evaluation and other AI related needs.
Develop and train AI reasoning models for security applications.
Develop Agentic models with the aim of automating security testing.
Author blog posts, white papers, or research papers related to emerging threats in AI security.
Collaborate with cross-functional teams of researchers and engineers to translate research ideas into product features. You'll also have the opportunity to contribute to our overall machine learning culture as an early member of the team.

We are looking for an experienced manager with networking expertise to lead a system testing and integration team in Cloud Solutions group. This team is responsible for the testing, integration, and delivery of most sophisticated company`s products under growing generative AI market.

What you'll be doing:

Lead pioneering technology qualification processes.

Design and test our large scale setups, that mimic Tire I customers data centers work loads.

Review arch design and requirements for new features introduced in the whole Ethernet/InfiniBand switches and network adaptors portfolio.

Design and build setup topologies for an appropriate product coverage with an emphasis on emulation of customer large scale / complex environments.

Design, mentorship for testing automation team, and implement tests for the new features, as part of growing our data center switches and network adaptors portfolio with its software releases cycles.

Generate comprehensive test reports during release execution procedure, assist with reproduction and debugs complex customer use cases, with determination of the issue root cause, be an engineering PIC for the full verification cycles of the customer use cases fixes provided by R&D team.

Report bugs found during execution, assist with reproduction and debugs to understand root cause, verify bug fixes provided by R&D team.

Execute End-to-end test scenarios in different scopes: Regression, Performance, Functional and Scale; Report the testing progress and provide summary reports of testing activity.

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.

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.

Are you passionate about AI and machine learning? Do you thrive on rapid experimentation, prototyping, and building innovative tools that solve real business problems?
Do you enjoy diving into unfamiliar technologies, quickly assessing and demonstrating their potential impact?
Were looking for an exceptional AI Innovation Engineer to join the Office of the CEOsomeone who can seamlessly blend deep technical expertise with product thinking and business acumen. In this high-impact role, youll lead AI initiatives that drive both internal efficiency and product innovation, working closely with the CEO, R&D, and Product teams.
Youll take ownership of architecting and building fast-moving PoCs, exploring new technologies, and developing custom solutions that go beyond standard integrations to deliver real business impact.
As an AI Innovation Engineer, you will:
Rapidly design and develop PoCs using cutting-edge AI and ML technologies.
Lead the design and development of AI-powered tools that streamline internal processes and boost productivity.
Build innovative AI features into product suite, focusing on tangible customer and business impact.
Explore and evaluate new frameworks, tools, and approacheswithout being limited to familiar stacks.
Partner closely with Product teams to deeply understand use cases, define requirements, and shape AI-driven solutions.
Work hand-in-hand with R&D and Engineering teams to bring AI concepts to lifefrom ideation to production.
Take ownership of complex technical challenges, architecting AI solutions that are scalable, maintainable, and robust.
Act as a trusted advisor to the CEO, providing insight into the strategic application of AI across the business.
Research, evaluate, and implement emerging AI technologiesprioritizing in-house development of tailored solutions where it creates strategic advantage.
Bridge technical and business worlds, ensuring AI initiatives align with overall company objectives.

We invite an astute and forward-thinking Senior Software Architect to lead and incubate core technologies in our AI data center and network technologies. In this pivotal role, your strategic vision will guide the evolution of our comprehensive AI Cloud solutions, driving innovation in areas such as sophisticated host virtualization, groundbreaking fabric technologies, and coordinated orchestration. You will also stand as a key representative for NVIDIA, embodying our presence in significant open-source projects, key conferences, and standards committees. This role offers a rare opportunity to leave a significant mark on the AI industry and push the boundaries of technological progress.

What you'll be doing:

Assessing and integrating innovative technologies and forging partnerships to improve our technological trajectory and value.

Orchestrating new network application designs employing data plane programming to address intricate network challenges creatively.

Engaging with collaborators through customer interactions, authoring thought leadership content such as white papers and blogs, and delivering presentations at industry events.

Crafting a coherent strategic direction for NVIDIA's network solutions in collaboration with software and hardware architects.

We are at the forefront of AI-driven innovation in VLSI design automation. Join us to shape the future of semiconductor design with cutting-edge AI tools and make a significant impact in a collaborative, high-performance environment. Are you ready to push the boundaries of whats possible in VLSI CAD? Come be part of our pioneering team!

What you'll be doing:
You will be responsible for developing and integrating advanced CAD solutions and automation flows using AI and machine learning for VLSI design, verification, and implementation.
Work closely with design, verification, and CAD teams to identify areas for improving VLSI workflows using advanced tools and methods.
Research, prototype, and deploy AI-based algorithms.
Develop and maintain scripts and automation infrastructure to enable seamless adoption of AI tools in the VLSI design process.
Continuously review emerging AI technologies and methodologies to keep our CAD environment up-to-date.
Provide technical support and training to engineering teams on AI-enabled CAD flows and best practices.

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.