Pre Production Engineer

NVIDIA is hiring a Pre Production Engineer in Taipei, Taiwan. Level rates it ; you can apply on NVIDIA.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
The posting mentions Dsx Os, GPU and devops among its tools and skills.
Level classes it as a mid-level role.
NVIDIA has 2,700+ other open roles on Level.

AI in this role

Maintain pre-production labs and multi-rack GPU clusters for AI factory infrastructure and cloud software development.

dsx-osgpu

devopsinfrastructurelinuxtroubleshooting

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 passionate software engineer to join our DGX Cloud Engineering team as a Pre Production Engineer. In this role, you will play a significant part in helping to craft and guide the future of AI & GPUs in the Cloud. DSX OS is Open-source, modular software for building, operating, and scaling multi-tenant AI factory infrastructure with efficiency, performance, and reliability. You will ensure our pre-production labs and development environments for DSX OS are healthy, reliable, and ready for rapid iteration. You will engage hands-on with ground breaking, unreleased hardware and software alongside the engineers building them! If you thrive at the intersection of DevOps and R&D — and want to touch NVIDIA’s most sophisticated systems before anyone else — this is the role for you !

What you'll be doing:

Own NVIDIA’s pre-production DSX OS environments — multi-rack clusters spanning multiple GPU platforms — so software developers stay focused on features, not infrastructure debugging.
Drive day-1 and day-2 lifecycle operations including software upgrades, firmware rollouts, and environment bring-ups.
Serve as first-level triage for critical from software developers, performing root cause and corrective action (RCCA) analysis and routing issues to the right owners.
Collaborate closely with Network engineers, Production engineers, and DSX OS software component owners to identify and close gaps in the stack.
Partner with QA, Bring-Up, and software development teams to reduce environment-related friction and accelerate the DSX OS development cadence.

What we need to see:

BS or MS in Computer Science or equivalent experience.
5+ years of hands-on software engineering experience.
Demonstrate understanding of cloud design in the areas of virtualization and global infrastructure, distributed systems, and security.
Expertise in Kubernetes (K8s).
Experience with Infrastructure as Code tooling such as Ansible and Terraform.

Ways to stand out from the crowd:

Experience automating and operating infrastructure built for AI.
Background with DPUs.

Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/

How we rate this

Pre Production Engineer at NVIDIA rates 80 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.

Classification

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.

Key facts

Pre Production Engineer is an open job at NVIDIA.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Taiwan, Taipei.
The job was posted on September 18, 2026.
Seniority: mid.
Applications are handled by NVIDIA. Apply on NVIDIA

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

DevOpsInfrastructureLinuxTroubleshootingDsx OsGPU

Questions you could be asked

Tell me about a project where devops was part of your work. What did you do?
Tell me about a project where infrastructure was part of your work. What did you do?
Tell me about a project where linux was part of your work. What did you do?
Tell me about a project where troubleshooting was part of your work. What did you do?
Walk me through how you've used Dsx Os in your day-to-day work.

Adapt your resume

List these exact terms on your resume: DevOps, Infrastructure, Linux, Troubleshooting, and Dsx Os. 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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