Solutions Architect Cloud Services jobs at Nvidia in 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.

What you'll be doing:

• Plan, organize, review, and evaluate team activities for NVIDIA Professional Services projects.

• Optimize project workflows using high-performance computing (HPC) in data centers, efficiently prioritizing and distributing workloads across large-scale clusters.

• Undertake diverse, sophisticated tasks with significant accountability.

• Leverage advanced computing resources for complex tasks, implementing powerful HPC technologies to enhance project sophistication.

• Demonstrate effective team leadership, directing day-to-day activities while ensuring adherence to established guidelines.

• Oversee daily operations, optimizing data center resources and ensuring adherence to HPC guidelines.

• Provide leadership in the development and execution of critical initiatives.

• Lead initiatives that enhance HPC capabilities. Drive projects applying data center resources for simulation and modeling, staying abreast of HPC advancements.

What we need to See:

• Bachelor's or Master's degree (or equivalent experience) in Computer Science, Electrical Engineering, or Business Administration (with a focus on IT management)

• 5+ years of management experience and 10+ overall years of experience in datacenter operations, deployments, and management.

• Demonstrated leadership experience in planning and evaluating project activities. Effective coordination and performance supervision skills.

• Specialized task proficiency with the capability to solve intricate tasks with a sense ofresponsibility.

• Decision-making skills aligned with established standards and requirements.

• Independence, initiative, and discretion in responsibilities while maintaining professional-level resourcefulness.

• Commitment to excellence in implementing continuous improvement initiatives. Keen attention to detail and effective communication with collaborators, including other departments

• A commitment to continuous learning and adaptation while developing and maintaining a positive and productive work environment.

Ways to stand out from Crowd:

• Strategic leadership distinction, showcasing your ability to strategically plan, organize, and evaluate team activities for successful project execution.

• Demonstrate sophisticated task proficiency and decision-making, highlighting your accountability and innovative problem-solving skills.

• Set yourself apart by embodying a commitment to continuous improvement, implementing effective corrective actions, and fostering a culture of excellence within your team.

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 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

What you'll be doing:

• Lead the hands-on analysis, optimization, and performance tuning of complex GPU-accelerated systems and AI workloads, ensuring high availability and efficiency across customer data centers.
• Serve as a senior technical authority on NVIDIA technologies, contributing to architecture reviews and guiding infrastructure decisions at scale.
• Establish and refine monitoring and optimization methodologies using analytics, telemetry, and automation to detect bottlenecks and improve infrastructure resiliency.
• Join post-deployment reviews, incident retrospectives, and sessions to craft the customer experience and provide insights into NVIDIA’s infrastructure strategy.
• Complete and lead complex technical projects from initial design through implementation and continuous improvement, ensuring alignment to SLAs and mitigation of technical risks.
• Support business growth by identifying AI infrastructure opportunities in cloud and enterprise environments and driving technical initiatives that showcase NVIDIA’s leadership in this space.

What we need to see:

• 10+ years of experience in large-scale data center service operations with a focus on infrastructure.
• BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
• Strong analytical, solving problems, and decision-making skills, capable of identifying root causes, driving continuous improvement, and delivering resilient technical solutions.
• Strong communication, time management, and organizational skills, with the ability to lead complex projects, guide technical teams.
• Preferred certifications in data center, server, or networking technologies, and a willingness to travel up to 25% for customer engagements and team collaboration.
• Proficiency in system-level aspects, encompassing Operating Systems, Linux kernel drivers, GPUs, NICs, and hardware architecture.
• Shown expertise in cloud orchestration software and job schedulers, including platforms like Kubernetes, Docker Swarm, and HPC-specific schedulers such as Slurm.
• Familiarity with cloud-native technologies and their integration with traditional infrastructure is essential.

Ways to stand out from the crowd:

• Deep familiarity with AI infrastructure and workflows, including training/inference pipelines, MLOps/DevOps tools, containerization (Docker, Kubernetes), and large-scale system deployments.
• Knowledge of data center infrastructure operations, including safety, security, environmental controls, and standard operating procedures.
• Good interpersonal and collaboration skills, with the ability to lead discussions, influence outcomes, and build positive relationships with both internal and external collaborators.

What you'll be doing:

• Primary responsibilities will include building AI/HPC infrastructure for new and existing customers.
• Support operational and reliability aspects of large-scale AI clusters, focusing on performance at scale, real-time monitoring, logging, and alerting.
• Engage in and improve the whole lifecycle of services—from inception and design through deployment, operation, and refinement.
• Maintain services once they are live by measuring and monitoring availability, latency, and overall system health.
• Provide feedback to internal teams such as opening bugs, documenting workarounds, and suggesting improvements.

What we need to see:

• BS/MS/PhD or equivalent experience in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields.
• At least 8 years of professional experience in networking fundamentals, TCP/IP stack, and data center architecture
• Proficiency in configuring, testing, validating, and resolving issues in LAN and InfiniBand networks, especially in medium to large-scale HPC/AI environments.
• Advanced knowledge of EVPN, BGP, OSPF, VXLAN protocols.
• Hands-on experience with network switch/router platforms like Cumulus Linux, SONiC, IOS, JunosOS, and EOS.
• Extensive experience delivering automated network provisioning solutions using tools like Ansible, Salt, and Python.
• Ability to develop CI/CD pipelines for network operations.
• Strong focus on customer needs and satisfaction.
• Self-motivated with leadership skills to work collaboratively with customers and internal teams.
• Ability to communicate technical concepts and collaborate effectively with Mandarin-speaking customers.
• Strong written, verbal, and listening skills in English are essential.

Ways to stand out from the crowd:

• Familiarity with cloud networks (AWS, GCP, Azure) is a plus.
• Linux or Networking Certifications.
• Experience with High-performance computing architectures. Understanding of how job schedulers(Slurm, PBS) work.
• luster management technologies knowledge (bonus credit for BCM (Base Command Manager).)
• Experience with GPU (Graphics Processing Unit) focused hardware/software.