דרושים Senior Solutions Architect Nvis Customer Success Partnership ב-אנבידיה ב-Singapore, Singapore

• Becoming an expert and enabling GSI developers to adopt NVIDIA Nemo and NIM for their Generative AI offerings, platforms and client services.

• Construct complex workflows with multiple steps for AI agents to analyze, strategize, perform tasks, access APIs, and fix errors autonomously.

• Work with Business Managers to thoughtfully craft the vision, actionable and effective strategies for the group.

• Closely Partner with other Solutions Architects, engineering, product and business teams at NVIDIA to build GenAI full stack solutions for industry vertical and enterprise use cases.

• Encourage industry executives and GSI leaders by articulating the business value from the state of the art in Generative AI.

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, other Engineering or related fields (or equivalent experience)

• 8+ overall years of work-related experience in deep learning, data science or software development with knowledge of parallel computing with GPUs

• Strong development experience with RAG and workflows building Agentic AI applications.

• Developer experience with LangChain and LangGraph orchestrating LLMs

• Working experience of Orchestration platforms like Kubernetes and datacenter including compute, storage, and networking.

• Clear written and oral communication skills with the ability to collaborate with management and engineering. Share knowledge with clients, partners and co-workers.

• Have experience leading technical teams working with partners and customers.

• Proficient developer on NVIDIA platform using Nemo and NIM, ML/DL frameworks and MLOps ecosystem of tools and solutions in the cloud and on-prem.

• Experience with cloud based solution designing, APIs and Microservices, orchestration platforms, storage solutions and data migration techniques

• Have a willingness and ability to dig into unfamiliar territories to tackle sophisticated problems and be a phenomenal listener.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people.

As a Senior Solutions Architect in NVIDIA AI Technology Center (NVAITC), you will be at the forefront of AI research and implementation. You will:

• Lead and mentor junior technical members, encouraging a collaborative and inclusive environment.

• Collaborate with the management team to develop and implement strategic engagements and projects involving institutes of higher learning (IHLs), industry, and government, ensuring seamless delivery and implementation.

• Serve as a research & engineering subject matter expert (SME), driving internal and external collaborations with academia and industry.

• Act as the technical resource for NVIDIA technologies such as NeMo, NIMs, Omniverse, Jetson, RAPIDS, NGC, and Deep Learning toolkits.

• Be an active part of NVIDIA’s global mission to promote accelerated AI within the ecosystem by leading and supporting workshops, symposiums, and technical sharing sessions.

• Mentor collaborators, interns, and students, providing mentorship and skills training to successfully implement AI projects.

• Develop NVIDIA technology-related tutorials, demos, and workshop materials, showcasing our world-class innovations.

• 7+ proven experience with NVIDIA technologies (i.e., NeMo, RAPIDS, NGC, AI model training using accelerated AI compute, etc.).

• Expertise in AI research domains such as Foundation Models, Generative AI, and NLP.

• A PhD or equivalent experience in Artificial Intelligence or related research domains.

• A strong track record of leading and supporting research & engineering projects.

• Technical mentoring and team leadership experience in areas such as software development.

• Experience in AI ecosystem development and collaboration initiatives.

• Proficiency in coding with Python and using AI/ML libraries such as Pytorch.

• Solid understanding of deep learning, data science, and machine learning techniques.

• Excellent time management skills, self-motivation, and the ability to work both independently and within a team.

• Effective communication skills, enabling you to articulate complex concepts clearly and concisely.

What you'll be doing:

• Providing Ethernet expertise to customers during the sales cycle to design, architect and test Ethernet networking solutions.

• Work on multi-functional teams to provide Ethernet network expertise to server infrastructure builds, accelerated computing workloads and GPU-enabled AI applications.

• Crafting and evaluating DevOps automation scripts for network operations, crafting network architectures, and developing switch configurations.

• Implementing tasks related to network implementation and validation for data centers.

What we need to see:

• 8+ years of proficiency in networking fundamentals, configuring Ethernet switches, understanding the TCP/IP stack, and data center architecture.

• Engages with clients for network requirement analysis, designs next-gen data center network architectures, and validates functionality through simulations.

• Automation tooling background (Ansible, Salt, Puppet etc.).

• Proactive individual with the ability to work independently, prioritizing tasks to optimize technology and enhance customer experience.

• Provides ad-hoc knowledge transfers, develops handover materials, and offers deployment support for engagements.

• B.Sc. in Engineering or CCNP certificate (or equivalent experience)

Ways to stand out from the crowd:

• Combination of interpersonal skills and technical competence.

• Linux certifications.

• Internetwork Expert(CCIE, JNCIE, ACE-E) certification in Data Centers.

• Experience with Cumulus OS.

• Infiniband certifications.

What you will be doing:

• Primary responsibilities will include deploying, managing, and maintaining AI/HPC infrastructure in Linux-based environments for new and existing customers.

• Be the domain expert with customers during planning calls through implementation.

• Handover-related documentation and perform knowledge transfers required to support customers as they begin rolling out some of the most sophisticated systems in the world!

• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

• Bachelor's degree in Computer Science, Electrical Engineering or a related field, or equivalent experience.

• 4+ years providing in-depth support and deployment services, solving problems for hardware and software products.

• Knowledge and experience with AI Factory / HPC, including Linux System Administration, process management, task scheduling, kernel management, boot procedures, troubleshooting, performance reporting, and optimization.

• Cluster management technologies.

• Scripting proficiency.

• Good interpersonal skills with the ability to maintain and deliver resolutions for customer-blocking issues as they arise. Excellent verbal and written English skills.

• Strong organizational skills and ability to prioritize/multitask easily with limited supervision.

• Experience with Schedulers such as SLURM, LSF, PBS, etc.

Ways to stand out from the crowd:

• Industry-standard Linux certifications.

• InfiniBand or Ethernet Experience.

• Experience with GPU-focused hardware/software.

• Experience with MPI.

• Automation tooling background (Ansible, Salt, Puppet etc.).

What you will be doing:

• Help our customers with the installation and onboarding of the Run:ai software

• On a daily basis to maximize to help increase the value of the Run.AI software. These includes:

• Helping data scientists and ML engineers embed best practices in the world of machine learning operations.

• Configuring Run:ai to match customer’s use case

• Integrate run:ai into customer's existing MLops environment including scripting

• Diagnosing and solving customer issues in sophisticated cloud native environments

• Use existing profiling and analysis tools to find bottlenecks and low utilization of deep learning models.

• Collaborates with internal stakeholders (e.g. Pre-Sales Solution Engineers, Account Managers, Account SAs, Product) in the post-sale stage by understanding business requirements and providing industry and technical input.

• Develop new tools and scripts to help simplify integration between Run:ai to other Data Science tools.

What we need to see:

• 5 years of experience working in a customer facing role at a B2B SaaS/On Prem Software Company

• Experience presenting to technical audiences and creating technical content for developers

• Experience in Linux / Unix Operating Systems

• Hands on experience with Kubernetes

• Experience in containerization technologies like Docker, containers

• Proven experience with software development

• B.Sc in Computer Science or equivalent

What you'll be doing:

• Build and deploy AI/ML solutions at scale using NVIDIA's AI software on cloud-based GPU platforms

• Using your skills in AI, MLOps, ML engineering, DevOps, Kubernetes, and orchestration to deploy hybrid solutions

• Work as customer technical specialist to address customer workload, security & privacy and architectural requirements and seek their technical challenges

• Deliver customer on-boarding sessions and technical and architecture presentations with NVIDIA AI, Cloud and Networking technologies

• Run and own Proof of Concepts (PoCs), introducing NVIDIA Cloud Solutions and integrating them to new and existing accounts

• Debug SW issues, provide solutions to customers and report of bugs to NVIDIA’s product organization

• Work with NVIDIA’s product and architecture teams by providing customer requirements, feedback and prioritization

What we need to see:

• 8+ years of foundational expertise in Engineering, Computer Science, Data Science, or a related field

• Master’s Degree or Ph.D within Computer Science, Computer Engineering or similar field, or comparable work experience

• 3+ years of working experience in DevOps roles in the areas of Cloud Computing, Cluster Orchestration or AI Workloads

• Substantial experience in an IT role or alike for HPC or large scale AI systems

• In depth knowledge with orchestration platforms like Kubernetes, SLURM or OpenShift

• Expertise in Deep Learning and Machine Learning, with experience using deep learning frameworks such as TensorFlow or PyTorch

• Ideal candidate should understand how AI and HPC workloads interact with both HW and SW infrastructure

• Strong written and oral communication skills with the ability to optimally collaborate with customers, management and engineering

• Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects

• Strong analytical and problem-solving skills

• Good verbal communication and presentation skills in English

Ways to stand out from the crowd:

• Working experience with major or tier-2 cloud service providers (such as AWS, GCP and Azure), or with AI Datacenter Providers or HPC Datacenters

• Experience with AI frameworks and tools on GPUs

• Ability and wiliness to travel to end customers