Senior Data Center Ethernet Network Engineer 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 will be doing:

• Deploy and support NVIDIA products

• Guide and supervise 3rd party contractors in field or remote settings

• Ensure accurate cable installations, including the number and type of connections, port assignments, and timing of activity while following standard methodologies

• Print labels for re-labeling cables based on a Point to Point (P2P) scheme

• Conduct quality testing of all cables used

• Resolve issues involving cabling components

• Validate and update all related work instructions for cabling activities

• Provide input on Data Center Standards updates as needed, while balancing multiple tasks and priorities and actively participating in project calls

• Ensure all relevant physical assets are recorded in Asset Manager and that all inventory-related fields are accurately recorded

• Inspect all received hardware shipments and receiving duties as well as document processes and maintain event logs

• Install various network systems at customer sites

What we need to see:

• 2-3 years of experience as a data center technician, field service engineer, or similar

• Bachelor's degree or equivalent experience

• In-depth knowledge of data center environments, servers, and network equipment

• Experience with liquid-cooled systems

• Extensive experience in installing, monitoring, and maintaining data center equipment

• Outstanding ability to work as part of a team, provide IT support, and resolve errors

• Proficiency in detailing network processes

• Willingness to travel (~30-35%)

• BICSI, CNCDP

• FOA Data center - CFOSDC - certified fabrics optics specialist, Datacenter

• CNCI – certified network cable installer

Ways to stand out from the crowd:

• Network fix, including looking at port counters, errors, etc.

• Collaboration with R&D and network engineering teams

• Positive interaction capabilities

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'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.