> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Senior Solutions Architect, AI Compute – NPN

Canonical URL: https://nextmove.md/fde/jobs/ddf732e0a62a246a

NVIDIA posts a senior FDE role to integrate and configure the product in Multiple US offices, at $184,000–$356,500 base, above the senior FDE median of $190,000 across 1,864 postings with pay. NVIDIA seeks a Senior AI Compute Engineer to act as a forward-deployed technical liaison between the NVIDIA Partner Network, internal teams, and enterprise customers. Read from the employer’s posting on November 8, 2026.

- [NVIDIA](https://nextmove.md/fde/companies/nvidia)

First seen Apr 22, 2026 · open on Workday as of Nov 8, 2026

**$184,000–$356,500** *annualized* Multiple US offices Full-time

NVIDIA seeks a Senior AI Compute Engineer to act as a forward-deployed technical liaison between the NVIDIA Partner Network, internal teams, and enterprise customers.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fddf732e0a62a246a&placement=top)
- [View posting at NVIDIA](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-Solutions-Architect--AI-Compute----NPN_JR2015936)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$184K–$357K Above the median

Midpoint $270K · median $190K

This job $184K to $357K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

### The work

Integrates and configures it

Balance **Mostly building**

Project stages

1. Pre-sales
2. Proof of concept (not covered)
3. Implementation
4. Operations

Travel **Up to 30%**

- **Coding**: Writes production code

- **Builds for**: Both

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **8+ years** providing in-depth support and deployment services; solving problems for hardware and software products

Background

- **Software engineering**

### Do you meet what the posting states?

The posting asks for 8+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Multiple US offices. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Multiple US offices

- **Employment type**: Full-time

- **Travel**: Up to 30%

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## The job description from NVIDIA

Want to join a team that's revolutionizing the field of AI with data center scale solutions? We are seeking a highly technical Senior AI compute Engineer to serve as a forward-deployed technical liaison between NVIDIA’s Partner Network (NPN), NVIDIA’s internal teams, and enterprise customers.

Academic, Enterprise and government 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 Compute systems in the world! NVIDIA is looking for someone with the ability to work on a dynamic customer-focused team that requires excellent communication skills. This role will be interacting with customers, partners and internal teams to analyze, define, and implement large-scale AI Compute projects. These efforts include a combination of networking, system design and automation and validation

### What you will be doing

- Primary responsibilities will include deploying, managing, and validating AI Compute/HPC infrastructure in Linux-based environments for new and existing customers.
- Be the domain expert with partners during planning calls through implementation.
- Handover-related documentation and perform knowledge transfers required to support customers and partners as they begin rolling out some of the most sophisticated systems in the world!
- Provide feedback to internal and partners teams such as opening bugs, documenting workarounds, and suggesting improvements.

### What we need to see

- 8+ years providing in-depth support and deployment services; solving problems for hardware and software products.
- Knowledge and experience with Linux system administration, process and package management, task scheduling, kernel management, boot procedures/fixing, performance reporting/optimization/logging, network-routing/advanced networking (tuning and monitoring).
- Cluster management and provisioning technologies for bare-metal servers (bonus credit for BCM (Base Command Manager)).
- Minimum of a four-year degree from an accredited university or college in Computer Science, Electrical or Computer Engineering or equivalent experience.
- Scripting proficiency (Bash, Python, Ansible, etc.). Experience with schedulers such as SLURM, LSF, UGE, etc.
- Excellent interpersonal skills and the ability to deliver resolutions for customer issues as they arise.
- An ability to travel to customer sites within the United States up to 30% of the time.
- Experience with benchmarking tools such as HPL, NCCL tests, MLPerf as well as Kubernetes experience.

### Ways to Stand out from the crowd

- InfiniBand experience.
- Experience with GPU (Graphics Processing Unit) focused hardware/software.
- Experience with MPI (Message Passing Interface).
- Storage technologies such as Lustre or GPFS.
- Familiarity with OEM GPU platforms
- Strong channel sales and services knowledge and partner co-selling experience

This role embodies the forward-deployed engineer approach: you will spend significant time embedded with customer and partner technical teams. You will move fluidly between field deployments and internal NVIDIA collaboration. Your success is measured by the successful deployment and optimization of AI factories that enable customers and partners to achieve their AI ambitions. You will also provide critical feedback to refine NVIDIA’s reference architectures and partner enablement programs!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 17, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

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.

[View posting at NVIDIA](https://nvidia.wd5.myworkdayjobs.com/NVIDIAExternalCareerSite/job/US-CA-Remote/Senior-Solutions-Architect--AI-Compute----NPN_JR2015936)

## About NVIDIA

Full-stack accelerated computing and AI infrastructure company building GPUs, CPUs, networking, systems, software and platforms for data centers, gaming, professional visualization, automotive and robotics.

Public · 5000+ people

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