Senior Solution Architect, AI Compute Engineer - NVIS
NVIDIA is hiring a Senior Solution Architect, AI Compute Engineer - NVIS for a remote role open to applicants in Singapore. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Builds AI ●●●● is how Level rates this solutions architect role: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include Linux.
- Level classifies it as a senior role.
- Level lists 2,700+ other open roles at NVIDIA.
AI in this role
Senior AI Compute Engineer to deploy, manage, and maintain large-scale AI and HPC infrastructure for customers.
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. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.
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! NVIDIA is looking for someone with the ability to work on a dynamic, customer-focused team that requires excellent interpersonal skills. This role will be interacting with customers, partners, and internal teams to analyse, define, and implement large-scale AI/HPC projects. The scope of these efforts includes a combination of Networking, System Design, and Automation, and being the face to the customer.
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 into 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.
5+ years providing in-depth support and deployment services, solving problems for hardware and software products.
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).
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/multi-task easily with limited supervision.
Industry-standard Linux certifications.
Experience with Schedulers such as SLURM, LSF, UGE, etc.
Ways to stand out from crowd:
Demonstrated hands-on experience with MPI (e.g., OpenMPI, MPICH), proficient in distributed communication programming and cluster debugging.
In-depth understanding of NCCL principles and applications, with expertise in collective communication optimization for NVIDIA GPU clusters.
Experience in deploying and optimizing high-speed networks (InfiniBand/Ethernet), with a clear understanding of how network architecture impacts GPU cluster performance
Familiarity with automation tools (Ansible, Salt, Puppet, etc.), capable of implementing batch configuration and operational automation for GPU clusters and LLM deployment environments.
knowledge and hands-on experience with Kubernetes, including container orchestration for AI/ML workloads, resource scheduling, scaling, and integration with HPC environments.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. Are you a creative and autonomous manager who loves a challenge? Are you ready to become the staff member you always wanted to be? Come and be part of the best SW design team in the industry!
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.
How we rate this
Senior Solution Architect, AI Compute Engineer - NVIS at NVIDIA rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in solutions architect jobs at this level
Pay
- Typical solutions architect job
- $169k
This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs
Questions you could be asked
- What's a project where you used Linux hands-on?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Linux. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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