Solutions Architect, NVIDIA Cloud Partners
NVIDIA is hiring a Solutions Architect, NVIDIA Cloud Partners in Singapore, Singapore. Level rates it ; you can apply on NVIDIA.
Level's read on this job
- Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
- The posting mentions Infiniband, Roce and MLOps 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
Solutions architect focused on large-scale AI and HPC cloud infrastructure design and partner technical sales.
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. We are looking for a Solutions Architect with experience in large scale AI and/or HPC Infrastructure design, encompassing servers, network, storage and systems management. A Solution Architect is the first line of technical expertise between NVIDIA and our customers, as well as our partners. Your duties will vary from solutions design, industry and marketing speaking engagements, training delivery, troubleshooting, project coordination, customer relationship management and more. In this role you will provide support for customers in the South East Asia region.
What you'll be doing:
Identify new opportunities for NVIDIA technology and solutions, by optimally communicating and positioning the product portfolio and analysing customer requirements. Independently lead technical sales activities in collaboration with the extended team.
Validate data center designs and overall infrastructure capabilities (including power, cooling and space) to host NVIDIA solutions.
Work closely with data center operators, server and storage OEMs, system management and orchestration ISVs and the wider ecosystem in designing and delivering complete solutions.
Produce solutions proposals to customers, including architectural artifacts and bill of materials. Apply and customise reference architectures and templates to the specific customer context.
Work with internal engineering and product management teams to create new products and collect customer feedback. Contribute to the development of new reference architectures, reusable assets and templates in support of the wider team.
Closely collaborate with professional services and enterprise support teams on solutions delivery and support post-sales.
Setup and run demos, proof of concepts and benchmarks as required.
Deliver technical training and workshops to customers and partners. Present at industry and market events.
What we need to see:
A passion for customer success and innovative AI solutions. Someone motivated, able to work independently, proactively with minimal direction.
3+ years experience in IT infrastructure technical sales.
B.Sc or Master in Computer Science, Engineering or related subjects.
Experience in network design and topologies, both logical and physical.
Knowledge of Infiniband and RoCE fabrics.
Expertise with infrastructure management including Linux, Ethernet and IP networking, IPMI and RedFish.
Hardware and workload performance tuning and optimisation experience.
Outstanding communication skills, strong interpersonal skills and love to work as part of a team.
Ability to travel up to 20% of the time to support customer in South East Asia.
Professional or Native English language proficiency
Ways to stand out from the crowd:
Exposure to Kubernetes, container runtimes and cloud native stacks.
Exposure to batch orchestrators such as SLURM.
Hands-on experience with NVIDIA systems and technologies such as Cumulus Linux, GPU and Network Operator, DCGM, Base Command Manager.
Knowledge of DevOps/MLOps technologies.
Professional fluency in one or more of these languages: Mandarin, Thai, Bahasa Indonesia, Bahasa Malaysia
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/
NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
How we rate this
Solutions Architect, NVIDIA Cloud Partners at NVIDIA rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Tell me about a project where solutions architecture was part of your work. What did you do?
- Tell me about a project where cloud infrastructure was part of your work. What did you do?
- Tell me about a project where hpc was part of your work. What did you do?
- Tell me about a project where ai infrastructure was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: ML Ops, Solutions Architecture, Cloud Infrastructure, Hpc, and AI Infrastructure. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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