Senior Solution Architect, AI Compute Engineer - NVIS

NVIDIA Gruppe; Singapore; On-site; SGD 120,000 - 190,000; Full time

Job summary

NVIDIA is seeking a Senior AI/HPC Engineer to join its Infrastructure Specialist team in Singapore. You will deploy and manage AI/HPC infrastructure on Linux, act as the domain expert for customers, and drive knowledge transfer from planning to implementation.

You will document handovers, report issues, and propose improvements to internal teams, while collaborating with customers, partners, and engineers to optimize GPU clusters and networks.

Qualifications

• BS/MS/PhD in CS/EE/Physics/Math or equivalent.
• 5+ years in depth support and deployment for hardware/software products.
• Extensive Linux system administration and networking experience.
• Experience with cluster management technologies.
• Proficiency in scripting.
• Excellent English skills (verbal and written).

Responsibilities

• Deploy, manage, and maintain AI/HPC infrastructure in Linux environments for customers.
• Serve as domain expert from planning calls through implementation.
• Produce handover documentation and perform knowledge transfers.
• Provide feedback to internal teams by reporting bugs and suggesting improvements.

Skills

English communication

Interpersonal skills

Organizational skills

Multi-tasking

Customer-facing

Education

BS/MS/PhD in CS/EE/Physics/Math

Tools

Linux System Administration

Cluster management technologies

SLURM

LSF

UGE

MPI/OpenMPI/MPICH

NCCL

InfiniBand/Ethernet networking

Kubernetes

Ansible/Salt/Puppet

Job description

NVIDIA is looking for a Senior AI/HPC Engineer to join its infrastructure Specialist team. Academic and commercial groups around the world are using NVIDIA products to revolutionize deep learning and data analytics, and to power data centers. Join the team building many of the largest and fastest AI/HPC systems in the world. This role will be interacting with customers, partners, and internal teams to analyse, define, and implement large‑scale AI/HPC projects, combining networking, system design, and automation while serving as the primary customer interface.

What you will be doing:

• Deploying, managing, and maintaining AI/HPC infrastructure in Linux‑based environments for new and existing customers.
• Serving as the domain expert with customers from planning calls through implementation.
• Handover‑related documentation and performing knowledge transfers required to support customers as they roll out sophisticated systems.
• Providing feedback to internal teams by 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.
• 5+ years of in‑depth support and deployment services, solving problems for hardware and software products.
• Extensive knowledge and experience with Linux System Administration, process management, package management, task scheduling, kernel management, boot procedures/troubleshooting, performance reporting/optimization/logging, network routing/advanced networking (tuning and monitoring).
• Experience with cluster management technologies.
• Proficiency in scripting.
• Excellent interpersonal, verbal, and written English skills, with the ability to maintain and deliver resolutions for customer‑blocking issues.
• Strong organizational skills and the ability to prioritize/multi‑task with limited supervision.
• Industry‑standard Linux certifications.
• Experience with schedulers such as SLURM, LSF, UGE, etc.

Ways to stand out from the crowd:

• Hands‑on experience with MPI (OpenMPI, MPICH), distributed communication programming, and cluster debugging.
• In‑depth understanding of NCCL principles and applications, and expertise in collective communication optimization for NVIDIA GPU clusters.
• Experience deploying and optimizing high‑speed networks (InfiniBand/Ethernet) with an understanding of how network architecture impacts GPU cluster performance.
• Familiarity with automation tools (Ansible, Salt, Puppet, etc.) and the ability to implement batch configuration and operational automation for GPU clusters and LLM deployment environments.
• Hands‑on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.