Senior Solution Architect, MLOps - AI Factory
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 2d ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 6d ago
The date the source published, not the day we noticed it (2026-10-05). Last seen at its source 1h ago.
We have tracked this listing since 5 Oct 2026 (5 days). The employer's own board has carried it every time we have read it, most recently 1 hour ago.
Is it remote?
The listing says yes
The location field doesn't say remote, so our assessment is based on the title or the description. Read the listing before applying.
Who may apply?
Germany, Czechia, France, Hungary
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay €100.6k–153.9k/yr
Middle 50% of 18 listings that do state pay — Engineering · Senior · Germany · EUR/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workday employer's own board first seen 5d ago · last seen 1h ago
- location not stated
The listing
We are looking for an AI Factory Solution Architect. NVIDIA is at the forefront of the AI computing revolution, building innovative deep learning solutions that reshape industries worldwide. In this role, you will play a key role in introducing our advanced GPU products to deployments across data centers. If you enjoy system building and have a demonstrable track record of technical customer interactions, this is a prime opportunity to make a meaningful contribution.
What You'll Be Doing:
- Help architect and scale high-performance, distributed AI infrastructure on-prem or in the cloud, built with the latest NVIDIA GPU supercomputers for new and existing customers.
- Be a motivating leader in integrating NVIDIA technology into HPC architectures to support scientific and engineering applications.
- Be an internal champion for Deep Learning and Infrastructure among the NVIDIA technical community.
- Support Development activities and engage in POCs/POVs to validate new features, and architectures.
- Develop solutions and showcase the AI ecosystem.
What We Need To See:
- B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience.
- 5+ years in software development or ML engineering.
- Extensive ability to solve problems within the customer infrastructure.
- Practical expertise with on-premises Kubernetes (K8S) infrastructure-orchestration and platform.
- Experience working with containers and MLOps tools.
- Background with modern Deep Learning software architecture and frameworks including PyTorch, vLLM and TritonServer.
- Capable of working in a constantly evolving environment without losing focus.
- Committed with strong analytical and problem solving skills.
- Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
Ways To Stand Out From The Crowd:
- Technical knowledge of developer digital platforms and their trends.
- Experience working with Nvidia operators.
- Expertise in operating Kubernetes, as well as experience writing or customizing Kubernetes configurations.
- Background in deploying large-scale multi-node training and inferencing pipelines.
- Good presentation skills
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 individuals in the world working for us. If you're creative and autonomous, we want to hear from you.