Solutions Architect - OEM AI Factory Infrastructure

Description

You will join the OEM AI Factory solutions architecture team as a contributing member, gaining insight into many parts of AI Factory deployments. The team covers MEP (mechanical, electrical, plumbing), Ethernet and InfiniBand networking, DevOps, HPC and AI workloads, cluster administration and site reliability engineering.

The team builds OEM AI Factories with partners such as Dell, HPE and Lenovo, using the company's solutions inside their platforms. Certified servers include GB200/300 NVL72, supported by the company's software stack for deploying, configuring, validating and monitoring AI Factories.

You should know Linux system administration, Python and networking concepts. Experience with Slurm and data science is a plus.

Responsibilities

• Work with solution architects, engineering and product teams.
• Learn the technical needs of partners and customers.
• Build proof of concept projects using the company's technologies.
• Capture key takeaways, write documentation and share findings.
• Train partners through hands-on sessions.

Requirements

• A BS, MS or PhD in computer science, computer architecture, electrical engineering, math, physics, data science or a related technical field, or equivalent experience.
• 5+ years of experience.
• Strong skills in at least one programming language, such as Python, C or C++.
• Clear presentation, communication and collaboration skills.
• Able to work alone and within a cross-functional team.
• Comfortable juggling several tasks in a fast-paced setting where requirements change.
• Strong analytical and problem-solving skills.
• Ways to stand out: experience with the company's GPUs and software libraries; work in an engineering or research community; a foundation in computer architecture, software engineering or data science; academic or industry familiarity with GPUs, AI, CUDA or related technologies; willingness to explore unfamiliar areas and solve problems using data center infrastructure experience across the full stack, from hardware up.

Conditions

Base salary depends on location, experience and other objective job-related factors. Level 3 ranges from 152,000 USD to 241,500 USD, and Level 4 ranges from 184,000 USD to 287,500 USD.

Applications will be accepted at least until November 3, 2026.

This is an existing opening.

The company uses AI tools in its recruiting process.

The company is an equal opportunity employer and does not discriminate on the basis of any characteristic protected by law.